Journal articles on the topic '960911 Urban and Industrial Land Management'
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1
Xie, Fei, Shuaibing Zhang, Kaixu Zhao, and Fengmei Quan. "Evolution Mode, Influencing Factors, and Socioeconomic Value of Urban Industrial Land Management in China." Land 11, no. 9 (September 15, 2022): 1580. http://dx.doi.org/10.3390/land11091580.
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(1) Background: Accurate measurement of the matching relationship between urban industrial land change and economic growth is of great value for industrialized and re-industrialized countries to perform land resource management in territorial spatial planning. (2) Methods: Based on the combination of the Boston Consulting Group matrix, Geodetector, and decoupling model, we constructed a new method integrating “model evolution + driving mechanism + performance evaluation + policy design” in this paper, and conducted an empirical study on the economic value of urban industrial land management in the Yangtze River Delta. (3) Results: The evolution modes of urban industrial land in the Yangtze River Delta are divided into four types: stars, cows, dogs, and question, distributed in structures ranging from an “olive” shape to a “pyramid” shape, with high spatial heterogeneity and agglomeration and low autocorrelation. The government demand led by driving economic growth and making large cities bigger is the key factor driving the change in urban industrial land and the influence of transportation infrastructure and the business environment has remained stable for a long time. The mechanisms of industrialization, globalization, and innovation are becoming increasingly complicated. Industrial land change and value-added growth in most cities have long been in a state of strong and weak decoupling, with progressive decoupling occurring alongside the unchanged stage and regressive decoupling. The government outperforms the market in terms of urban industrial land management, and the degradation of the synergy between urban industrial land and corporate assets emerges as a new threat to sustainable and high-quality development of the region. (4) Conclusions: This paper establishes a technical framework for zoning management and classification governance of urban industrial land to divide the Yangtze River Delta into reduction-oriented transformation policy zoning, incremental high-quality development zoning, incremental synchronous growth zoning, and reduction and upgrading development zoning. It also proposes an adaptive land supply governance strategy for quantitative and qualitative control, providing a basis for territorial spatial planning and land resource management.
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Li, Jihong, Kaiming Li, and Rongxu Qiu. "The Suburbanization and Revitalization of Industrial Land in Shanghai, China." Sustainability 14, no. 12 (June 9, 2022): 7062. http://dx.doi.org/10.3390/su14127062.
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Land use efficiency is one of the critical indicators of sustainable development. Increasing land use efficiency can help build a more compact urban form and reduce the urban footprint. Industrial development is often considered a major driving force of urban land use expansion and use change. Both industrial development and urban land use change are constrained and facilitated by urban planning and management, constantly shaping the spatial trajectory of urban transformation. Taking the suburbanization and revitalization of industrial land uses in Shanghai as a case study, this research uses thematical analysis and geospatial data change detection methods to investigate how the evolution of industrial spatial structure leads to urban land use growth, and how urban planning and governance reconfigure the industrial spatial structure of a city through revitalization. This study found that the unplanned suburbanization of industrial land use brought about significant residential and commercial land use expansion. The city was able to consolidate its industrial land uses by adopting the designated industrial blocks strategy to curb the sprawl of industrial land use and enhance land use efficiency. With the transformation of industry structure, the city achieved great success in transforming underutilized industrial land in the city’s central area and consolidating scattered industrial land into industrial blocks in the city’s suburban areas.
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Wang, Zishu, Jie Zhao, Sijie Lin, and Yi Liu. "Identification of Industrial Land Parcels and Its Implications for Environmental Risk Management in the Beijing–Tianjin–Hebei Urban Agglomeration." Sustainability 12, no. 1 (December 24, 2019): 174. http://dx.doi.org/10.3390/su12010174.
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Due to rapid, sprawling urban and industrial development, urbanization in China has led to serious environmental pollution with subsequent risks to human well-being. Landscapes comprised of intermingled residential and industrial areas are common across China, which is a large challenge for effective urban planning and environmental protection. Being able to identify industrial land across the urban landscape is critical for understanding patterns of urban design and subsequent consequences for the environment. Here, we describe a method to quickly identify industrial parcels using points of interest (POIs) and large-scale spatial data. We used the Beijing–Tianjin–Hebei urban agglomeration as a case study and identified 8325 square kilometers of industrial land, accounting for 30.7% of the total built land. Based on ground-truth randomly-sampled sites, the accuracy, precision, and recall of identified industrial areas were 87.1%, 66.4%, and 68.1%, respectively. Furthermore, we found that over 350 km2 of the industrial parcels were high human settlement risks and mainly were distributed in Tianjin and Tangshan city. Over 28.8% of the identified industrial land parcels might be at the risk of potential soil contamination. The results can be helpful in future urban planning and for identifying urban areas that are targets for implementing environmental risk management and remediation.
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Li, Chenxi, Xing Gao, Bao-Jie He, Jingyao Wu, and Kening Wu. "Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China." Sustainability 11, no. 5 (March 8, 2019): 1446. http://dx.doi.org/10.3390/su11051446.
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The implementation of the Beijing, Tianjin, and Hebei coordinated development strategy has seriously increased the influence of land use and urban traffic. Thus, understanding the coordination between urban land and transportation systems is important for the efficient and sustainable development of cities, especially in this rapidly urbanizing era. Urban–industrial land and highway networks are, respectively, primary types of urban land and transportation systems, and have significant impacts on social and economic development. However, limited studies have been conducted to examine the relationships between urban–industrial land and highway networks. Therefore, this paper aims to examine the coupling coordination relationship between urban–industrial land use efficiency, and the accessibility of the highway networks of cities. Specifically, in the context of the Beijing–Tianjin–Hebei (BTH) urban agglomeration, the coupling coordination between urban-industrial land use efficiency and accessibility of the highway traffic network was empirically analyzed. The results show that: (i) The differences in urban-industrial land use efficiency in the BTH region are significant. Capital cities in the BTH urban agglomeration have higher economic, social, and comprehensive efficiency, while in industrial cities, the use of urban–industrial land should prioritize ecological and environmental issues. (ii) Because of its good geographical location Beijing has the best accessibility, with an accessibility index of 1.416, while Qinhuangdao had the lowest accessibility index of 0.039. (iii) In most BTH cities, the urban-industrial comprehensive land use level has fallen behind the highway network development level. The results of this study can provide references for the coordinated development of the BTH urban agglomeration.
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Aragonés-Beltrán, P., J. Aznar, J. Ferrís-Oñate, and M. García-Melón. "Valuation of urban industrial land: An analytic network process approach." European Journal of Operational Research 185, no. 1 (February 2008): 322–39. http://dx.doi.org/10.1016/j.ejor.2006.09.076.
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Zhang, Congguo, Di Yao, Yanlin Zhen, Weiwei Li, and Kerun Li. "Mismatched Relationship between Urban Industrial Land Consumption and Growth of Manufacturing: Evidence from the Yangtze River Delta." Land 11, no. 9 (August 24, 2022): 1390. http://dx.doi.org/10.3390/land11091390.
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Background: The precise allocation and efficient use of industrial land are necessary for the development and optimization of urban production space; however, the mismatches between urban industrial land consumption and the growth of manufacturing are becoming more serious and has become the primary obstacle to sustainable urban development. Methods: Based on a combination of the Boston Consulting Group matrix, spatial mismatch model, decoupling index, GIS, and Geodetector tools, this paper conducts an empirical study on the Yangtze River Delta region in an attempt to reveal the spatio-temporal evolution of the mismatch between urban industrial land changes and the growth of manufacturing and provide a basis for spatial planning and land management in the new era. Results: The distribution of urban industrial land is characterized by high heterogeneity and agglomeration, the coexistence of expansion and contraction, and increasingly complex and diversified changes. Gross domestic product, government revenue, the added value of tertiary industry, and government investment in science and technology indicate that the goal orientation and scale effect of economic growth play a decisive role in the allocation of urban industrial land and that the influence of industrial structures and technological innovation is rapidly increasing. The interaction between the different factors is a bifactor enhancement, for example, land used for logistics and storage, utilities, commercial and other services, and the import and export trade, which have a strong synergistic enhancement effect. The mismatches between urban industrial land changes and the growth of manufacturing are still within a reasonable degree but there is an increasing number of cities with negative mismatches, making it necessary to implement a differentiated spatial adjustment and management policy. Conclusions: Compared with the mismatches of mobile resources such as labor, finance, and capital, the mismatches of immovable land resources have an increasing impact with more serious consequences and it is harder to make optimizations and corrections. However, the academic community has limited knowledge about land resource mismatches. By quantitatively assessing the mismatches between industrial land consumption and the growth of manufacturing in YRD cities, this paper argues that the mismatches can be rectified through spatial and land use planning and suggests the establishment of a zoning management and governance system to achieve the optimal allocation of urban industrial land resources through the implementation of a “standard land + commitment system” and industrial land protection lines.
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Fang, Li, Chuanhao Tian, Xiaohong Yin, and Yan Song. "Political Cycles and the Mix of Industrial and Residential Land Leasing." Sustainability 10, no. 9 (August 29, 2018): 3077. http://dx.doi.org/10.3390/su10093077.
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This paper studies how political cycles change the mix of industrial and residential land in urban land leasing. The mixture of different types of land leasing in cities affects urban landscape, resident welfare, and economic sustainability. Using prefecture-level panel data from China and statistical regressions, this paper finds that cities lease out 3% more industrial land, as a percentage of total annual urban land leasing, when their party committee secretaries have been in office for no more than two years. In the same period, they lease out 2% less residential land. This is explained by the strategic behaviors of party committee secretaries to increase their chances of political promotion. Urban land leasing fuels local economic performance and increases the chance of city leaders’ promotion. While the economic benefits of residential land are immediate, those of industrial land cannot be reaped until two years later. This divided timeline results in more aggressive leasing of industrial land early on in party committee secretaries’ service terms, and that of residential land later on. Mayors’ service terms do not have the same effect. This political cycle distorts the temporal and spatial distributions of industrial and residential land in cities, and results in inefficient land use and unstable real estate markets.
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Lu, Youpeng, Wenze Yue, and Yaping Huang. "Effects of Land Use on Land Surface Temperature: A Case Study of Wuhan, China." International Journal of Environmental Research and Public Health 18, no. 19 (September 23, 2021): 9987. http://dx.doi.org/10.3390/ijerph18199987.
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In this study, we aim to understand the impact of land use on the urban heat island (UHI) effect across an urban area. Considering the case study of Wuhan, China, land use factors and land surface temperatures (LSTs) of 589 planning management units were quantified in order to identify the spatial autocorrelation of LST, which indicated that a traditional regression would be invalid. By investigating the relationships between land use factors and the LST in summer, based on spatial regression models including the spatial lag model and the spatial error model, four conclusions were derived. First, the spatial error model effectively explains the relationships between LST and land use factors. Second, the impact on LST of the percentage of industrial areas is significant even though the impacts of land cover and building-group morphology indicators are combined, indicating that anthropogenic heat emission of industrial production contributes to high LSTs. Third, the relationship between the percentage of commercial area and LST is significant in the Pearson correlation analysis and traditional regression models, while not significant in spatial error model, suggesting that the urban heat environment of a commercial area is determined by the land use factors of the surrounding area. Fourth, the UHI effect in industrial and commercial areas could be precisely mitigated by not locating industrial areas beside residential areas, and setting up buffer zones between commercial areas and surrounding traditional residential areas. Overall, the results of this study innovatively deepen the understanding of the impact of the percentage of different urban land use types on the urban heat environment at the scale of planning management units, which is conducive to formulating precise regulation measures for mitigating UHI effects and improving public health.
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Zambon, Cerdà, Gambella, Egidi, and Salvati. "Industrial Sprawl and Residential Housing: Exploring the Interplay between Local Development and Land-Use Change in the Valencian Community, Spain." Land 8, no. 10 (September 20, 2019): 143. http://dx.doi.org/10.3390/land8100143.
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Urbanization in Mediterranean Europe has occurred in recent decades with expansion of residential, commercial and industrial settlements into rural landscapes outside the traditional metropolitan boundaries. Industrial expansion in peri-urban contexts was particularly intense in Southern Europe. Based on these premises, this work investigates residential and industrial settlement dynamics in the Valencian Community, Spain, between 2005 and 2015, with the aim to clarify the role of industrial expansion in total urban growth in a paradigmatic Mediterranean region. Since the early 1990s, the Valencian industrial sector developed in correspondence with already established industrial nodes, altering the surrounding rural landscape. Six variables (urban hierarchy, discontinuous settlements, pristine land under urban expansion, isolated industrial settlements, within- and out-of-plan industrial areas) were considered with the aim at exploring land-use change. Empirical results indicate a role of industrial development in pushing urban sprawl in coastal Valencia. A reflection on the distinctive evolution of residential and industrial settlements is essential for designing new planning measures for sustainable land management and containment of urban sprawl in Southern Europe. A comparative analysis of different alternatives of urban development based on quantitative assessment of land-use change provides guidelines for local development and ecological sustainability.
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Huang, Lingyan, Shanshan Xiang, and Jianzhuang Zheng. "Fine-Scale Monitoring of Industrial Land and Its Intra-Structure Using Remote Sensing Images and POIs in the Hangzhou Bay Urban Agglomeration, China." International Journal of Environmental Research and Public Health 20, no. 1 (December 23, 2022): 226. http://dx.doi.org/10.3390/ijerph20010226.
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China has experienced rapid industrial land growth over last three decades, which has brought about diverse social and environmental issues. Hence, it is extremely significant to monitor industrial land and intra-structure dynamics for industrial land management and industry transformation, but it is still a challenging task to effectively distinguish the internal structure of industrial land at a fine scale. In this study, we proposed a new framework for sensing the industrial land and intra-structure across the urban agglomeration around Hangzhou Bay (UAHB) during 2010–2015 through data on points of interest (POIs) and Google Earth (GE) images. The industrial intra-structure was identified via an analysis of industrial POI text information by employing natural language processing and four different machine learning algorithms, and the industrial parcels were photo-interpreted based on Google Earth. Moreover, the spatial pattern of the industrial land and intra-structure was characterized using kernel density estimation. The classification results showed that among the four models, the support vector machine (SVM) achieved the best predictive ability with an overall accuracy of 84.5%. It was found that the UAHB contains a huge amount of industrial land: the total area of industrial land rose from 112,766.9 ha in 2010 to 132,124.2 ha in 2015. Scores of industrial clusters have occurred in the urban-rural fringes and the coastal zone. The intra-structure was mostly traditional labor-intensive industry, and each city had formed own industrial characteristics. New industries such as the electronic information industry are highly encouraged to build in the core city of Hangzhou and the subcore city of Ningbo. Furthermore, the industrial renewal projects were also found particularly in the core area of each city in the UAHB. The integration of POIs and GE images enabled us to map industrial land use at high spatial resolution on a large scale. Our findings can provide a detailed industrial spatial layout and enable us to better understand the process of urban industrial dynamics, thus highlighting the implications for sustainable industrial land management and policy making at the urban-agglomeration level.
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Pu, Wenfang, and Anlu Zhang. "Can Market Reforms Curb the Expansion of Industrial Land?—Based on the Panel Data Analysis of Five National-Level Urban Agglomerations." Sustainability 13, no. 8 (April 16, 2021): 4472. http://dx.doi.org/10.3390/su13084472.
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As China entered marketization in the late 1980s, it soon established a market economy system and implemented tax-sharing reforms. Driven by the marketization, local governments have rapidly developed the economy under the pressure of fiscal competition caused by the reform of the tax-sharing system. Industrial land is an important factor of local economic development, and it enables local governments to invest heavily in the industrial sector to promote economic development, leading to urban expansion. In order to shed light on the relationship between the market reforms implemented by the Chinese government and the expansion of urban industrial land, this paper used the data of 77 prefecture-level cities in China’s five national-level urban agglomerations as research samples from 2007 to 2018. We first constructed the marketization rate of industrial land (MIL) and used the panel data model to examine whether China′s market reform will curb the expansion of industrial land. The results showed that: (1) land market reform can restrain the scale of industrial land expansion, and the impact is different in different urban agglomerations; (2) under the effect of marketization, foreign direct investment (FDI) has restrained the expansion of industrial land to a certain extent. The amount of industrial investment (AII), the ratio of secondary industry to GDP structure (RSG), and the number of industrial enterprises (NIE) will aggravate the expansion of industrial land. We suggest that the Chinese government should deepen the reform of land marketization and develop a differentiated land market mechanism. It is also necessary for local governments to develop stock land, improve the efficiency of industrial land use, increase the investment in advanced technology, and improve the intensive utilization of industrial land. The research provides a reference for other countries in the world that are developing in a transitional period to restrain unlimited land expansion and save land resources in the process of economic development.
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Tsekeris, Theodore. "Freight Transport Cost and Urban Sprawl across EU Regions." Sustainability 14, no. 9 (April 26, 2022): 5217. http://dx.doi.org/10.3390/su14095217.
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This paper investigates the impact that urban sprawl and land use patterns have on freight transport costs at the regional level in Europe. A unique dataset is employed, which distinguishes various aspects of freight transport costs across EU regions. The measurement of sprawl metrics is based on the European soil sealing (artificial land cover) data concerning the land uptake for buildings and related infrastructure, as well as land use data originating from the Land Use/Cover Area frame Survey of Eurostat. The econometric analysis indicates that both the increased scale and compact development of land for urban settlement and specific (industrial, services/residential) activities can significantly reduce average road freight transport costs. The increased land use mixture and the share of industrial activity also have a negative impact on road freight transport costs. The results highlight the importance of integrated spatial/land use planning policies to manage freight transport costs and improve the sustainable urban development of EU regions.
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Maciejewska, Alina, Łukasz Kuzak, Marianna Ulanicka-Raczyńska, and Kamil Moreau. "Land Management Using Land Reserves to Alleviate Emergencies on the Example of Warsaw." Sustainability 14, no. 18 (September 16, 2022): 11625. http://dx.doi.org/10.3390/su141811625.
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Some of the most important contemporary threats to the population are global emergencies, such as pandemics, refugee waves, and climate disasters. Urban areas with high-density housing and limited access to services have been primarily affected. There is often a lack of time, resources, and space to develop primary services available near places of residence. In the face of progressing urbanisation and the expanding pandemic, it is necessary to rationally manage urban space, ensuring the use of unused, post-industrial areas, on the one hand, and minimise the negative effects of crises—the spread of a virus, the occurrence of an urban heat island, or the relocation of refugees. One beneficial solution in cities is effectively managing empty, undeveloped urban areas to develop cities in a way that is future-proof from new emergencies. In this study, we aimed to search for optimal solutions which can help to alleviate the negative effects of emergencies in the city using the decision-making model of field reserve management. Two districts of Warsaw, the capital city of Poland, were chosen for this study: one was typically urbanised, namely, Mokotów, and the other had large undeveloped areas for construction, namely, Białołęka. We analysed the land reserves of these districts. Spatial analyses of the data made it possible to identify optimal locations that constituted land reserves that can be used for essential services. Based on the analysis results, planners can effectively create a set of recommendations for local governments. Thanks to these recommendations, municipalities can manage their land reserves and eventually adapt them for the abovementioned purposes. As a result, it is expected that the effective management of land reserves using publicly available spatial data will improve preventive actions in an emergency, such as a pandemic. In addition, the proposed design solutions are universal; since they are based on the data on available field reserves and their statuses, management in emergencies will be possible.
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Yang, Fan, Peihong Tao, Xiao Cai, and Jiayin Wang. "Transformation for Feature Upgrades or Higher Property Prices: Evidence from Industrial Land Regeneration in Shanghai." Sustainability 14, no. 9 (April 27, 2022): 5280. http://dx.doi.org/10.3390/su14095280.
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In recent years, an increasing amount of industrial land has been left idle in China. This gave rise to a wide range of urban issues hindering sustainable urban development. To solve this problem, industrial land transformation has been promoted. However, factors affecting industrial land transformation have not been adequately explored. To fill this gap, this study employs the bivariate K-function to analyze the spatial association between agglomeration patterns of industrial land parcels and living quarters. Moreover, a series of discrete choice models (i.e., the LOGIT, PROBIT, and IVPROBIT model) are adopted to examine empirically complicated relationships between industrial land transformation and its influencing factors. This study argues that the land price and its rising expectations are major determinants of industrial land transformation. The results revealed that transformation-oriented industrial land tended to be located next to accessible living quarters with higher prices. A higher-level industrial park typically had less possibilities for industrial land transformation. The findings also indicated that production efficiency served as a moderator variable to regulate the transformation process. Implications are formulated for policymakers to guide industrial land transformation in an appropriate manner.
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BALSAS, Carlos J. L. "GIS Buildout Analysis and Urban Planning." Chinese Journal of Urban and Environmental Studies 09, no. 01 (March 2021): 2150006. http://dx.doi.org/10.1142/s2345748121500068.
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A buildout analysis is an important methodology in land-use planning. The GIS technicalities of doing a buildout analysis tend to be the purview of professionals with a background in geographical sciences. However, it is argued that planners ought to be able to conduct buildout analysis in order to develop a better understanding of how land-use patterns could change sustainably over time depending on a community’s regulatory environment and pace of development. A state buildout analysis is compared and contrasted with buildouts conducted for two local jurisdictions on the opposite ends of Massachusetts: the towns of Amherst and Georgetown. The town of Amherst’s computations identified lower values of developable and new commercial/industrial land and 1,878 more new dwelling units than the state-led planning initiative three years earlier. In the case of Georgetown, the UMass Amherst planning consultancy identified lower values of developable land and fewer new dwelling units and 3.5 million square feet more of new commercial/industrial land than the state-led analysis. A series of implications for teaching buildout analysis in Urban and Regional Planning studio courses is presented.
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Dong, Likuan, and Xin Li. "Evolution of Urban Construction Land Structure Based on Information Entropy and Shift-Share Model: An Empirical Study on Beijing-Tianjin-Hebei Urban Agglomeration in China." Sustainability 14, no. 3 (January 22, 2022): 1244. http://dx.doi.org/10.3390/su14031244.
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Urban agglomerations are important carriers of the current world economic development and economic center of gravity shift, while urban construction land structure reflects and influences the functions and development directions of urban agglomerations and cities within them. It is significant to study the characteristics of urban construction land structure in urban agglomerations. Based on information entropy model and shift-share model, this study discusses and analyzes the evolution characteristics and spatial allocation differences of urban construction land structure in Beijing-Tianjin-Hebei urban agglomeration, and simulates the spatial allocation differences with the help of GIS technology. The empirical research results show that from, 2006 to 2017, the overall structure of urban construction land in Beijing-Tianjin-Hebei urban agglomeration changes alternately between “orderly” and “disorderly”, and finally the overall development was slightly disordered. Furthermore, there are significant differences in the competitiveness of different types of land in different cities. Among them, green land, public facilities land, and road traffic land show obvious replenishment effect, which are mainly distributed in Handan-Zhangjiakou northwestern Hebei, Tianjin-Cangzhou in the eastern coast, Baoding-Xingtai in central and southern Hebei, while industrial land and storage land, which are mainly distributed in Beijing-Tangshan-Langfang around the capital and Shijiazhuang-Handan-Hengshui in central and southern Hebei, show obvious crowding-out effect. In addition, the temporal changes and spatial allocation differences of urban construction land structure are influenced by many factors, such as economic development, industrial structure, population size, etc. Therefore, it is suggested that the coordinated development of urban agglomerations should adhere to the principle of “differentiated development before coordinated development, local coordinated development before overall coordinated development”.
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Qi, Junheng, Mingxing Hu, Bing Han, Jiemin Zheng, and Hui Wang. "Decoupling Relationship between Industrial Land Expansion and Economic Development in China." Land 11, no. 8 (July 31, 2022): 1209. http://dx.doi.org/10.3390/land11081209.
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Economic expansion has caused increasingly serious land resource problems, and the decoupling of urban industrial land expansion from economic development has become a big topic for intensive development. The current research has mainly concerned industrial land efficiency, a single, static indicator, compared to a decoupling model, which takes into account two variables and gives a full expression of the spatio-temporal dynamic characteristics. However, little attention has been paid to the relationship between industrial land expansion and economic development in China from the perspective of decoupling. Based on a combination of Tapio‘s decoupling model and spatial analysis methods, this paper investigates the decoupling relationship between industrial land expansion and economic development in Chinese cities from 2010 to 2019. On that basis, we divided the study area into three policy zones and made differentiated policy recommendations. In addition, based on the decoupling model, we obtained the decoupling indices of the cities and grouped the cities into eight decoupling types. After the spatial autocorrelation analysis, we further verified the spillover effect of decoupling with the results of urban spatial differentiation. This paper draws the following conclusions: (1) Urban industrial land expansion and economic development exhibit marked and increasingly significant spatial heterogeneity and agglomeration. (2) Industry and economy are in weak decoupling in most cities, but there are a growing number of cities in negative decoupling. (3) Decoupled cities are shifting from the southeast coast to the middle and lower reaches of the Yellow River and Yangtze River, while negatively decoupled cities keep spreading from northeast and south China to their periphery, with clear signs of re-coupling. (4) It is necessary to develop urban industrial land supply and supervision policies according to local actuality and to implement differentiated control of industrial land for cities and industrial sectors with different decoupling types. To some extent, this paper reveals the evolution dynamics, performances, and strategies of industrial land, providing a decision basis for industrial land management policies and industrial planning in China and other countries at similar stages.
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Garang, Zhuoma, Cifang Wu, Guan Li, Yuefei Zhuo, and Zhongguo Xu. "Spatio-Temporal Non-Stationarity and Its Influencing Factors of Commercial Land Price: A Case Study of Hangzhou, China." Land 10, no. 3 (March 19, 2021): 317. http://dx.doi.org/10.3390/land10030317.
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Investigating the characteristics and mechanisms of the spatial and temporal variations of commercial land prices and its major subdivisions has great theoretical and practical significance in the study of urban economy and its spatial refinement management. Unlike general commodity prices, land prices are influenced by geographical location and tend to fluctuate over time. However, most scholars have not explored the influence mechanism of commercial land prices in both time and space. To help bridge this gap, this study takes the sample commercial land prices in the main urban area of Hangzhou from 2006 to 2015 as the empirical research object and investigates the spatiotemporal evolution mechanism of urban commercial land prices through a comparative analysis of the multiple regression analysis (MRA) with ordinary least squares (OLS), the geographically weighted regression (GWR), the temporally weighted regression (TWR), and the geographically and temporally weighted regression (GTWR) models. Results indicate that the land prices of land for financial facilities (Commercial Land Category 1) and commercial-business land (Commercial Land Category 2) in Hangzhou show different spatial and temporal evolutions and are influenced by the common factors of residential land price level (PL), maturity of living services (EN), and plot ratio (FRO) in the district. Meanwhile the main difference between the two influencing factors is the significant difference in sensitivity to locational centrality and industrial structure. Furthermore, we find that the spatial and temporal evolution of commercial land prices has three main mechanism: location selection, point-axis evolution, and function-promoting. Our findings will provide guidelines for scientifically guiding the coordinated development of urban land price and industrial economy and realizing the fine management and allocation of urban spatial resources.
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Yao, Mengchao, and Yihua Zhang. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China." Sustainability 13, no. 4 (February 6, 2021): 1771. http://dx.doi.org/10.3390/su13041771.
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In the recent 10 years, China’s housing prices and land prices have risen rapidly, resulting in precious land resources, thus restricting the development of the cities. How to effectively measure urban land-use efficiency and how to optimize it has become a stumbling block on the road of sustainable development in China. This article focuses on the vital province in southwest China—Sichuan Province, which is facing the problem of insufficient land-use efficiency and uses the data of 32 cities from 2003 to 2018 to carry out the research. Based on the measurement results of urban land-use efficiency in Sichuan Province and its temporal and spatial evolution characteristics, this paper uses the SDM model to verify that the land-use efficiency can be optimized from the three aspects of innovation, industrial structure, and economic connections. The conclusion shows: (1) There is a weak decoupling relationship between urban land use and economic development in Sichuan Province. The urban land-use efficiency has the characteristics of polarization of more than two ends and less in the middle, but the gap is gradually reduced; (2) Time series level, urban land-use efficiency in various regions is increasing, and potential benchmark technology progress is the main reason for the increase; (3) At the spatial distribution level, urban land-use efficiency has spatial autocorrelation, forming an obvious “center-periphery” distribution pattern; (4) Innovation, economic connection, and industrial structure optimization can promote the improvement of land-use efficiency, and economic connection has a positive spillover effect on the land-use efficiency of surrounding areas. Accordingly, this study puts forward some targeted suggestions on improving urban land-use efficiency in Sichuan Province.
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Wang, Xiangdong, Xiaoqiang Shen, and Tao Pei. "Efficiency Loss and Intensification Potential of Urban Industrial Land Use in Three Major Urban Agglomerations in China." Sustainability 12, no. 4 (February 22, 2020): 1645. http://dx.doi.org/10.3390/su12041645.
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In recent decades, efficiency and intensification have emerged as hot topics within urban industrial land use (UILU) studies in China. However, the measurement and analysis of UILU efficiency and intensification are not accurate and in-depth enough. The study of UILU efficiency loss and intensification potential and their relationship is still lacking, and the application of parametric methods with clearer causal mechanisms is insufficient. This paper argued that the intensification potential of UILU could be defined as the amount of saved land or output growth resulting from reduced efficiency loss of UILU. Accordingly, we constructed quantitative models for measuring and evaluating the intensification potential of UILU, using the stochastic frontier analysis (SFA) method to calculate efficiency loss in three major urban agglomerations (38 cities) in China. Our results revealed a large scale and an expanding trend in the efficiency loss and intensification potential of UILU in three major urban agglomerations in China. From 2003 to 2016, the annual efficiency loss of UILU was 31.56%, the annual land-saving potential was 979.98 km2, and the annual output growth potential was 8775.23 billion Yuan (referring to the constant price for 2003). It is, therefore, imperative to formulate and implement better policies and measures to promote further intensification and to reduce inefficiency, especially in the Yangtze and Pearl River Deltas and prioritizing a few key cities, such as Dongguan, Shenzhen, and Shanghai.
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Dambeebo, Daniel, and Chernor A. Jalloh. "Sustainable Urban Development and Land Use Management: Wa Municipality in Perspective, Ghana." Journal of Sustainable Development 11, no. 5 (September 28, 2018): 235. http://dx.doi.org/10.5539/jsd.v11n5p235.
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Land use planning is one of the effective ways of achieving overall sustainable physical development especially, in urban areas. Various stakeholders in Ghana such as government agencies are therefore, responsible for the development and enforcement of national and local plans that specifies land areas for residential, industrial, transport and recreational facilities towards achieving sustainable development. Empirical literature within the Wa Municipality is not clear on weather enforcement and/or compliance pose as a challenge to sustainable urban development. The main objective of this study was therefore, to assess the physical development and land use planning guidelines in the Wa Municipality and analyse people compliance for sustainable land management. Both primary and secondary data were used in this study. A questionnaire was used to collect primary data from 173 households in the Wa Municipality. Besides, heads of three institutions responsible for enforcing planning guidelines were interviewed. The results maintained that physical development planning guidelines are there to guide urban development in the Wa Municipality, but enforcement and effective compliance has been weak. Also, demographic and economic variables of the respondents as well as the lack of institutional capacity are the factors responsible for low levels of compliance. The non-compliance with planning guidelines contributes to haphazard physical development. This implies that the existence of clear planning guidelines is a necessary but not sufficient condition for sustainable urban land management. It is therefore, recommended that appropriate intervention through effective education for the general public as well as resource allocation to the enforcement institutions. This will facilitate the achievement of sustainable urban land management in the Wa Municipality.
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Giang, Nguyen Hong, Yu-Ren Wang, Tran Dinh Hieu, Nguyen Huu Ngu, and Thanh-Tuan Dang. "Estimating Land-Use Change Using Machine Learning: A Case Study on Five Central Coastal Provinces of Vietnam." Sustainability 14, no. 9 (April 25, 2022): 5194. http://dx.doi.org/10.3390/su14095194.
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Population growth is one factor relevant to land-use transformation and expansion in urban areas. This creates a regular mission for local governments in evaluating land resources and proposing plans based on various scenarios. This paper discussed the future trend of three kinds of land-use in the five central coast provinces. Afterwards, the paper deployed machine learning such as Multivariate Adaptive Regression Splines (MARS), Random Forest Regression (RFR), and Lasso Linear Regression (LLR) to analyze the trend of rural land use and industrial land-use to urban land-use in the Central Coast Region of Vietnam. The input variables of land-use from 2010 to 2020 were obtained by the five provinces of the Department of Natural Resources and Environment (DONRE). The results showed that these models provided pieces of information about the relationship between urban, rural, and industrial land-use change data. Furthermore, the MARS model proved to be accurate in the Quang Binh, Quang Tri, and Quang Nam provinces, whereas RFR demonstrated efficiency in the Thua Thien-Hue province and Da Nang city in the fields of land change prediction. Furthermore, the result enables to support land-use planners and decision-makers to propose strategies for urban development.
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Giang, Nguyen Hong, Yu-Ren Wang, Tran Dinh Hieu, Nguyen Huu Ngu, and Thanh-Tuan Dang. "Estimating Land-Use Change Using Machine Learning: A Case Study on Five Central Coastal Provinces of Vietnam." Sustainability 14, no. 9 (April 25, 2022): 5194. http://dx.doi.org/10.3390/su14095194.
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Population growth is one factor relevant to land-use transformation and expansion in urban areas. This creates a regular mission for local governments in evaluating land resources and proposing plans based on various scenarios. This paper discussed the future trend of three kinds of land-use in the five central coast provinces. Afterwards, the paper deployed machine learning such as Multivariate Adaptive Regression Splines (MARS), Random Forest Regression (RFR), and Lasso Linear Regression (LLR) to analyze the trend of rural land use and industrial land-use to urban land-use in the Central Coast Region of Vietnam. The input variables of land-use from 2010 to 2020 were obtained by the five provinces of the Department of Natural Resources and Environment (DONRE). The results showed that these models provided pieces of information about the relationship between urban, rural, and industrial land-use change data. Furthermore, the MARS model proved to be accurate in the Quang Binh, Quang Tri, and Quang Nam provinces, whereas RFR demonstrated efficiency in the Thua Thien-Hue province and Da Nang city in the fields of land change prediction. Furthermore, the result enables to support land-use planners and decision-makers to propose strategies for urban development.
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Liu, Jialin, Fangyan Cheng, Yi Zhu, Qun Zhang, Qing Song, and Xinhong Cui. "Urban Land-Use Type Influences Summertime Water Quality in Small- and Medium-Sized Urban Rivers: A Case Study in Shanghai, China." Land 11, no. 4 (April 1, 2022): 511. http://dx.doi.org/10.3390/land11040511.
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(1) Background: Small- and medium-sized rivers in urban areas are unique environments that serve as blue-green corridors for urban residents. The relationship between land-use types and water quality in these rivers provides important information for effectively addressing urban river restoration and pollution management. However, not much attention has been paid on these small- and medium-sized rivers, especially in large urban agglomerations with dense river networks. (2) Methods: This study undertook a field investigation on 130 sampling small- and medium-sized rivers during the late summer and applied data-driven water quality index and landscape analysis techniques to evaluate the direct impacts of riparian land-use types on the summertime water quality in Shanghai’s small- and medium-sized rivers. Riparian land-use types were derived from OpenStreetMap (OSM) datasets, including industrial, commercial, residential, and green spaces. (3) Results: Residential and green space are located closer to these sampled rivers than industrial and commercial land types, suggesting a tentative link between anthropogenic activities and water quality. Further analysis concluded that urban resident settlements, characterized by specific land-use types, DMSP-OLS nighttime lights, OSM road density, and OSM river density, strongly affected the water quality at the sub-catchment scale. We further determined the critical radii for impacts of land use types on urban rivers. Industrial types may influence water quality within a maximum radius of 5 km, followed by green space (4 km), residential areas (3 km), and commercial developments (2 km). These mathematically and statistically computed radii provide updated visions for river health assessment. For a specific land-use type, the assessed water quality index will be biased by using an assessment area with a radius higher or lower than the above-estimated radii. The study also quantified the spatial extent and transmission efficiency of non-point source pollution in a super built-up area of central Shanghai. We observed that contaminants transported by river pathways can reach a larger area than those transported by roads. (4) Conclusions: The high-quality environments in small- and medium-sized rivers are tightly linked to riparian landscape patterns. It is therefore urgent to control domestic pollutions as part of the restoration of megacity’s urban rivers and grapple with the complex challenges of risks to water supply. This study elaborates the importance of integrating land-use planning and water-quality management to maintain the functions and services of small- and medium-sized urban rivers.
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Jia, Xiaoli, Peihao Song, Guoliang Yun, Ang Li, Kun Wang, Kaihua Zhang, Chenyu Du, et al. "Effect of Landscape Structure on Land Surface Temperature in Different Essential Urban Land Use Categories: A Case Study in Jiaozuo, China." Land 11, no. 10 (September 29, 2022): 1687. http://dx.doi.org/10.3390/land11101687.
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Understanding the relationship between different essential urban land use categories and the urban thermal environment is essential for urban planning, resource allocation and decision support. However, most of the spatiotemporal correlations between land use types and LST are focused on industrial land use and urban green space, and there are fewer discussions on the totality of urban land use types. Here, using multi-source remote sensing images, correlation analysis and the stepwise regression method, we elaborate the relationship between landscape structure and land surface temperature (LST) across the different seasons of 850 planning management units in Jiaozuo, China. Our results show that the degree of explanation of surface temperature by landscape structure increased with a fine division of land use. The imprint of urban–rural gradients on LST was largely masked by the land use categories at the regional scales. Moreover, the tridimensional structure of buildings significantly affected the LST of residential regions, and the large number of low-rise buildings in urban planning practice contributes to high LSTs. This study provides a comprehensive analysis of the effects of each land use type and landscape structure on surface temperature in urban space and also provides strategies and methods for urban planning in rapidly developing regions of the country.
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Imnadze, Nino, Elguja Kurtskhalia, and Otar Mchedlishvili. "For Optimal Planning and Management of the Urban System." Works of Georgian Technical University, no. 4(526) (December 26, 2022): 46–54. http://dx.doi.org/10.36073/1512-0996-2022-4-46-54.
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Mathematical modeling of urban processes, system planning and land management are very typical problems. The solution of these problems according to the traditional method is carried out according to the subjectively chosen method. In this case, a number of questions and data are usually ignored or corrected. Which leads to the disintegration of the structural unity of the urban system. In this paper, a new method and algorithm has been developed to identify urban inconsistencies – both in terms of urban planning and socio-economic issues that are associated with urban planning and management.
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Qiao, Lin, Huiping Huang, and Yichen Tian. "The Identification and Use Efficiency Evaluation of Urban Industrial Land Based on Multi-Source Data." Sustainability 11, no. 21 (November 4, 2019): 6149. http://dx.doi.org/10.3390/su11216149.
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Urban industrial land (UIL), which is classified for industrial purposes, is an indispensable component of urban land. Obtaining up-to-date and timely UIL details from the industrial development perspective has practical significance for UIL planning. Therefore, we propose a practical method for integrating UIL identification and use efficiency evaluation at the parcel scale based on multi-source data. The Open Street Map (OSM) data were utilized to generate parcels, which served as basic analytical units. Point of Interest (POI) data combined with a Continuous Bag-of-Words (CBoW)-based Word2Vec model was utilized to acquire UIL information. The entropy-weight Technique for Order Preference by Similarity to Ideal Solution method, combined with economic and environmental UIL indicators obtained from remote sensing images, ground observation data, and statistical data, was used to evaluate UIL use efficiency, and the spatial distribution and utilization degree of UIL within Beijing’s fifth ring road was analyzed. The region within Beijing’s fifth ring road was classified into commercial land, industrial land, and other types, with an overall accuracy of 92.24%. With this method, we found that the distribution of UIL presented a ring structure developing outwards along the ring roads and contained concentrated commercial areas. UIL utilization exhibited a south–north differentiation, and industrial land had lower use efficiency. Our work fully utilized the available fine-scale multi-source data.
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Yan, Cuixia, Lucang Wang, and Qing Zhang. "Study on Coupled Relationship between Urban Air Quality and Land Use in Lanzhou, China." Sustainability 13, no. 14 (July 10, 2021): 7724. http://dx.doi.org/10.3390/su13147724.
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The intensification of global urbanization has exacerbated the negative impact of atmospheric environmental factors in urban areas, thus threatening the sustainability of future urban development. In order to ensure the sustainability of urban atmospheric environments, exploring the changing laws of urban air quality, identifying highly polluted areas in cities, and studying the relationship between air quality and land use have become issues of great concern. Based on AQI data from 340 air quality monitoring stations and urban land use data, this paper uses inverse distance weight (IDW), Getis-Ord Gi*, and a negative binomial regression model to discuss the spatiotemporal variation of air quality in the main urban area of Lanzhou and its relationship with urban land use. The results show that urban air quality has characteristics of temporal and spatial differentiation and spatially has characteristics of agglomeration of cold and hot spots. There is a close relationship between urban land use and air quality. Industrial activities, traffic pollution, and urban construction activities are the most important factors affecting urban air quality. Green spaces can reduce urban pollution. The impact of land use on air quality has a seasonal effect.
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Sun, Qiang. "Urban Land Regulation and the Global Carbon Cycle: Its Ecological and Economic Effects." Open House International 42, no. 3 (September 1, 2017): 25–28. http://dx.doi.org/10.1108/ohi-03-2017-b0006.
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Coordinating the relationship between economic development and environmental protection has emerged as a relevant issue in the economic and social development of China under the pressure of global climate change and international carbon emission reduction. Based on this, starting from the model of traffic structure and land use, land use planning for low carbon cities abroad was studied in this paper. Based on the analysis of urban ecological economic carbon cycle and its land regulation mechanism, the evaluation method of urban land use carbon effect was put forward. Taking the carbon circulation as the premise, starting from the layout characteristics of the urban land use factors, land use planning for urban residential, transportation, industrial and green land was optimized. Taking million springs Music City in Hainan as the example, the ecological planning layout was analyzed. And the planning was carried out from the aspects of spatial pattern, low carbon economy industry, green traffic, flood prevention and green landscape, etc. Urban carbon balance was realized. The results show that the carbon circulation and carbon consumption planning and management of the urban eco economic system based on land use structure optimization are conducive to promoting the development of urban low-carbon economy.
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Zhang, Liqin, Ruibo Han, and Huhua Cao. "Understanding Urban Land Growth through a Social-Spatial Perspective." Land 10, no. 4 (March 31, 2021): 348. http://dx.doi.org/10.3390/land10040348.
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To understand the urbanization process, it is essential to detect urban spatial growth and to study relations with social development. In this study, we take Wuhan as a case to examine urban land growth patterns and how social factors relate to the urban land evolution between 1990, 2000, and 2010. We first classify land cover using Landsat images and examine the urban growth patterns during various stages based on landscape metrics regarding the area, density, and shape. Afterwards, principal component analysis and census data are used to extract key social factors. Thirdly, we apply geographically weighted regression (GWR) to depict the link between urban land metrics and social factors. The results indicate that the urban land coalescence and diffusion simultaneously exist, for which redevelopment, infilling, and edge expansion dominate the city center, and diffusion dominates the peripheral areas. The social factors have global regression relationships with urban land areas while local spatial non-stationarity presents in the relationships with the urban land patch shape irregularities. Industrial upgrading, educational levelling up, and population aging show significant with local heterogeneities in the relationships. The simulation of the relationship provides a social-spatial perspective to understand urban land growth. The authors conclude that sustainable urban management should consider the coexistence of different urban spatial growth models and underline social transitions when examining the urban growth process. This works for cities in rapidly urbanizing countries or regions.
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Turo, Katherine J., MaLisa R. Spring, Frances S. Sivakoff, Yvan A. Delgado de la flor, and Mary M. Gardiner. "Conservation in post‐industrial cities: How does vacant land management and landscape configuration influence urban bees?" Journal of Applied Ecology 58, no. 1 (October 10, 2020): 58–69. http://dx.doi.org/10.1111/1365-2664.13773.
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Sridhar, M. B., and R. Sathyanathan. "Assessment of Urban Expansion and Identification of Sprawl Through Delineation of Urban Core Boundary." Journal of Landscape Ecology 15, no. 3 (December 1, 2022): 102–20. http://dx.doi.org/10.2478/jlecol-2022-0020.
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Abstract Cities are spatially expanding rapidly, leading to urban sprawl. This study aims to understand the nature of the urban expansion of Chennai city, located on India’s southeastern coast, by determining the urban growth pattern and identifying the urban sprawl areas. The urban growth pattern and sprawl areas between 1998 and 2019 are identified using remote sensing data through the delineation of the Urban Core Boundary (UCB). The urban areas were extracted from the Land Use Land Cover (LULC) classification using combined classification technique to delineate the UCB. All the findings were validated using ground truth information. LULC classification performed with an accuracy of more than 90 % for urban land cover revealed an increase in urban cover by 71.77% from 1998 to 2009 and 36.91 % from 2009 to 2019. The delineated UCB’s peripheral distance was measured from the city centre in an anticlockwise direction from 0˚ to 360˚ at every 10˚ interval. It is observed that the urban core boundary expanded to a maximum of 16.02 km along 240˚ and 11.93 km along 220˚ from the city centre, and the lands in the vicinity of the National Highway (NH 32), which is situated between these sectors, experienced maximum urban development. The study also pinpointed the sprawl areas during the study period, revealing that the urban sprawl occurs along the highways, around designated special economic zones, and industrial corridors.
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Zhao, Jin Ling, Dong Yan Zhang, Hao Yang, and Lin Sheng Huang. "Monitoring of Rapid Urban Sprawl in Beijing with Time Series Remote Sensing Data and Analysis of Driving Forces." Advanced Materials Research 726-731 (August 2013): 4591–95. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4591.
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Beijing has experienced a rapid urban sprawl over the past three decades, along with accelerated socio-economic development. This study investigated the change patterns and figured out the driving forces of urban expansion in the study area. To obtain urban class, decision tree classification techniques were used to identify the land cover types using four scenes of Landsat images from four periods of 1978-era, 1992-era, 2000-era and 2010-era. Then, the urban areas were identified by excluding water, agriculture, forest, grassland and bare land. The analysis results showed that: 1) urban construction land had been expanded very quickly and the urban area is mainly in the south-central part of the municipality; 2) the urban area increased by 96284.97 ha and the ratio was 5.88%; and 3) population growth, economic development, urban construction and industrial structure adjustment could explain the expansion. These analysis results can provide significant information on the monitoring and management of sustainable urban development.
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Wu, Yuzhe, Xiaoling Zhang, Martin Skitmore, Yan Song, and Eddie C. M. Hui. "Industrial land price and its impact on urban growth: A Chinese case study." Land Use Policy 36 (January 2014): 199–209. http://dx.doi.org/10.1016/j.landusepol.2013.08.015.
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Sandoval-Félix, Javier, Manuel Castañón-Puga, and Carelia Guadalupe Gaxiola-Pacheco. "Analyzing Urban Public Policies of the City of Ensenada in Mexico Using an Attractive Land Footprint Agent-Based Model." Sustainability 13, no. 2 (January 13, 2021): 714. http://dx.doi.org/10.3390/su13020714.
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The Urban Development Plan of the city of Ensenada, México (UDPE) states four major strategic projects, one of which mandates to “Acquire and enable new land reserves and expand opportunities for economic and social development.” This is of vital importance given the large number of vacant lots that perforates the urban surface in contrast to the physical limitations of growth demarcated by hill areas of a steep slope, which forces a sustainable use of the land. These are important growth challenges, affecting aspects such as the real estate market, in particular, that related to industrial activities, which has not matured due to outdated planning practice, resulting in industrial sprawl. This paper shows an institutional effort to analyze the UDPE from a Complex Systems approach with an Agent-Based Model, adapting Peter Allen’s concept of Structural Attractor. This attraction results from an agglomeration of UDPE’s regulatory attributes and real estate investor’s land-acquisition criteria that affects the spatial behavior of vacant land that is attractive for industrial activity. Unlike physical land uses, these attractive zones emerge, grow, move, diminish, and emerge again over time in the form of Attractive Land Footprints. Understanding these phenomena is vital for local policymakers. The findings indicate that the current Urban Plan is ill-suited regarding current industry development expectations. The model also showed unexpected roles played by population density, road network, and residential land use in Attractive Land Footprint dynamics, acting as a thought-provoking process for policymakers and real estate investors, as it helped them to understand Ensenada’s industry phenomena.
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Cai, Guoyin, Huiqun Ren, Liuzhong Yang, Ning Zhang, Mingyi Du, and Changshan Wu. "Detailed Urban Land Use Land Cover Classification at the Metropolitan Scale Using a Three-Layer Classification Scheme." Sensors 19, no. 14 (July 15, 2019): 3120. http://dx.doi.org/10.3390/s19143120.
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Urban Land Use/Land Cover (LULC) information is essential for urban and environmental management. It is, however, very difficult to automatically extract detailed urban LULC information from remote sensing imagery, especially for a large urban area. Medium resolution imagery, such as Landsat Thematic Mapper (TM) data, cannot uncover detailed LULC information. Further, very high resolution (VHR) satellite imagery, such as IKONOS and QuickBird data, can only be applied to a small area, largely due to the data unavailability and high computation cost. As a result, little research has been conducted to extract detailed urban LULC information for a large urban area. This study, therefore, developed a three-layer classification scheme for deriving detailedurban LULC information by integrating newly launched Chinese GF-1 (medium resolution) and GF-2 (very high resolution) satellite imagery and synthetically incorporating geometry, texture, and spectral information through multi-resolution image segmentation and object-based image classification (OBIA). Homogeneous urban LULC types such as water bodies or large areas of vegetation could be derived from GF-1 imagery with 16 m and 8 m spatial resolutions, while heterogeneous urban LULC types such as industrial buildings, residential buildings, and roads could be extracted from GF-2 imagery with 3.2 m and 0.8 m spatial resolutions. The multi-resolution segmentation method and a random forest algorithm were employed to perform image segmentation and object-based image classification, respectively. An analysis of the results suggests an overall accuracy of 0.89 and 0.87 were achieved for the second and third level urban LULC classification maps, respectively. Therefore, the three-layer classification scheme has the potential to derive high accuracy urban LULC information through integrating medium and high-resolution remote sensing imagery.
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Luo, Xiang, Chao Cheng, Yue Pan, and Tiantian Yang. "Coupling Coordination and Influencing Factors of Land Development Intensity and Urban Resilience of the Yangtze River Delta Urban Agglomeration." Water 14, no. 7 (March 29, 2022): 1083. http://dx.doi.org/10.3390/w14071083.
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The rapid urbanization of the Yangtze River Delta urban agglomeration has led to the convergence of population, land and capital. The coordination between land development intensity and urban resilience has become a key issue in the post-urbanization period. From the perspective of regional overall and coordinated development, we constructed an evaluation index system of land development intensity and urban resilience. Then, the comprehensive evaluation model, coupling coordination degree model and panel Tobit regression model were adopted to systematically study the temporal and spatial differentiation of and influencing factors on the coupling coordination degree between land development intensity and urban resilience in the Yangtze River Delta urban agglomeration from 2009 to 2019. The results show that from 2009 to 2019, the land development intensity exhibited a slow and fluctuating increase, while the urban resilience displayed continuous growth, and the level of land development intensity generally lagged behind that of urban resilience. From 2009 to 2019, the average coupling coordination degree between land development intensity and urban resilience in the Yangtze River Delta urban agglomeration increased from 0.5177 to 0.6626, which generally changed from bare coordination to moderate coordination. In terms of spatial distribution, the coastal cities and cities along the Yangtze River were characterized by high coupling coordination degrees, which formed a “T” shape distribution pattern. In addition, the coupling coordination types showed certain spatio-temporal heterogeneity among cities. Finally, land economic benefit, green industrial development, scientific and technological innovation, social management and infrastructure all had significant impacts on the coupling and coordination between land development intensity and urban resilience in the Yangtze River Delta urban agglomeration.
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Liu, Siqi, Qing Yu, and Chen Wei. "Spatial-Temporal Dynamic Analysis of Land Use and Landscape Pattern in Guangzhou, China: Exploring the Driving Forces from an Urban Sustainability Perspective." Sustainability 11, no. 23 (November 26, 2019): 6675. http://dx.doi.org/10.3390/su11236675.
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Rapid urbanization is one of the most important factors causing land-use change, which mainly results from the orientation of government policies, adjustment of industrial structure, and migration of the rural population. Land use and land cover change (LUCC) is the natural foundation of urban development that is significantly influenced by human activities. By analyzing the LUCC and its inner driving force, as well as landscape pattern change, human activity and urban sustainable development can be better understood. This research adopted a geographic information system (GIS) and remote sensing (RS) technology to comprehensively analyze land use of Guangzhou, respectively, in 1995, 2005, and 2015. Fragmentation Statistics (FRAGSTATS) is the most authoritative software to calculate landscape metrics. Landscape pattern change was analyzed by FRAGSTATS. The results showed that urban land significantly increased from 16.33% in 1995 to 36.05% in 2015. Farmland greatly decreased from 45.16% in 1995 to 27.82% in 2005 and then slightly decreased to 25.10% in 2015. In the first decade, the non-agricultural conversion of rural land and the expansion of urban land was the dominant factor that led to the change. In the second decade, urban land had been supplemented through the redevelopment of low-efficiency land. The fragmentation of landscape patterns significantly increased from 1995 to 2005 and slightly decreased from 2005 to 2015. It indicated that the change in land use in the second decade was different from that in the first. This difference mainly resulted from three aspects: (1) urban development area and ecological conservation area were clearly defined in Guangzhou; (2) many small towns had developed into urban centers, and the scattered urban land gathered into these centers; (3) the establishment of greenway improved the connection of fragmented patches. After that, this study discussed land-use change and its causes and proposed the trend of urban development from the perspective of sustainability.
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Sun, Chuanzhun, Chao Sun, Zhenshan Yang, Jikang Zhang, and Yu Deng. "Urban Land Development for Industrial and Commercial Use: A Case Study of Beijing." Sustainability 8, no. 12 (December 15, 2016): 1323. http://dx.doi.org/10.3390/su8121323.
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Parvez, Mazed, and Shormi Islam. "Sites Suitability Analysis of Potential Urban Growth in Pabna Municipality Area in Bangladesh: AHP and Geospatial Approaches." Journal of Geographical Studies 3, no. 2 (July 8, 2020): 82–92. http://dx.doi.org/10.21523/gcj5.19030204.
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For a long prior time, planning is being deprived of resulting unplanned urban growth that happen consequences the urban problems. A GIS-based site suitability analysis using the AHP model is performed with criterion: land use, population distribution, water network, drainage network and road network. The suitable growth sites are determined through expert opinion, pair-wise comparison matrix and finally determining the weighted value. This paper found out the potential urban growth mainly in ward no. 2, 7, and 6. Optimally suitable places are those sites where future urban development can easily occur and have all the required facilities with available commercial, industrial, and official land use, moderate and highly suitable places need some facilities e.g., water supply, drainage management, road network and rearrangement of land use. Very few and partly suitable sites need major involvement of facilities and revisions of present land use for potential urban development. This information can be useful for policy makers for planning processes as an acceptable scientific process for site suitability analysis in the municipality area for avoiding the urban problems and ensuring sustainable development.
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Dong, Yin, Gui Jin, and Xiangzheng Deng. "Dynamic interactive effects of urban land-use efficiency, industrial transformation, and carbon emissions." Journal of Cleaner Production 270 (October 2020): 122547. http://dx.doi.org/10.1016/j.jclepro.2020.122547.
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Piana, Pietro, Francesco Faccini, Fabio Luino, Guido Paliaga, Alessandro Sacchini, and Charles Watkins. "Geomorphological Landscape Research and Flood Management in a Heavily Modified Tyrrhenian Catchment." Sustainability 11, no. 17 (August 23, 2019): 4594. http://dx.doi.org/10.3390/su11174594.
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Since the nineteenth century, most urban catchments in Europe have been subject to significant landscape variations. These modifications have been caused by population change and the transition through rural, industrial and post-industrial economies. Land use and rainfall regime changes, together with land use variations, are frequently associated with flood hazard increase. This paper examines geomorphological landscape changes from the nineteenth century to the present day in the Bisagno Valley, Genoa metropolitan area. The Valley is internationally known for its recurring floods: the last events with fatalities occurred in 2011 and 2014. The extent of landscape change and the history of floods were examined by combining scientific data and information from historical maps, written accounts, topographical drawings and photographs. Historical–geographical and geomorphological analyses were used to reconstruct the runoff for three different periods since 1850. Our results demonstrate that geomorphological landscape variations, including modifications of the river bed, and the abandonment of the countryside and terraces are not sustainable and have progressively allowed an increase in flooding, making it necessary to implement sustainable management policies. In particular, specific spatial urban planning and management measures are necessary in order to mitigate flood hazard and vulnerability.
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Bao, Fei, and Zhenzhi Zhao. "“Takeover” and “Activation” Effects of National Strategies for Industrial Relocation—Based on the Perspective of Marketisation of Land Elements." Sustainability 14, no. 20 (October 19, 2022): 13470. http://dx.doi.org/10.3390/su142013470.
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National Industrial Relocation Demonstration Zones (NIRDZs) are essential platforms for promoting regional economic restructuring and optimising inter-regional economic relations. Based on panel data of 287 prefecture-level cities in China and over 200,000 industrial land transactions from 2007–2019, this study conducts an empirical test using multi-temporal DID, propensity score matching, and instrumental variable methods to examine the relationship between NIRDZs and the marketisation of industrial land elements. The results show that the establishment of NIRDZs has a significant inhibitory effect on the market allocation of industrial land elements, and the conclusion still holds after a series of robustness tests. Further exploration reveals that the inhibiting effect of NIRDZs on the marketization of industrial land factors is the result of the combined effect of the takeover effect and activation effect of policies. The takeover effect of “promising government” has “low-end industry lock”, which inhibits the development of factor marketisation; the activation effect can stimulate the inner life of “effective market”, which can promote the marketisation of factors market-oriented allocation. The activation effect is to promote the market-based allocation of urban industrial land by activating three aspects: the level of market environment, the level of market operation, and the level of market access in the pilot cities. The analysis of the regulation effect shows that there is a vertical financial asymmetry and a vertical fiscal asymmetry in the inhibiting effect of NIRDZs on the market-oriented allocation of industrial land. Different levels of urban economic development also bring about different policy effects. This study broadens the understanding of heterogeneous development thinking and market-based management structures for industrial land elements in NIRDZs.
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Ji, Xuanming, Kun Wang, Tao Ji, Yihua Zhang, and Kun Wang. "Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City." Land 9, no. 5 (May 17, 2020): 155. http://dx.doi.org/10.3390/land9050155.
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The high coupling coordination of urban land use benefits is a significant factor for urbanization and sustainable urban development. This study, based on the statistical data from 2002 to 2017 of Xiamen City, constructs an index system that includes social, economic, ecological, and environmental benefits by evaluating the overall coupling coordination degree of land use benefits, using the entropy weight method (EWM), the coupling coordination degree (CCD) model, and the dynamic coupling coordination degree (DCCD) model. The results show that the coupling degree of Xiamen City’s land use is relatively low, while showing a positive trend of development. In terms of the management of land use, the market should play a major role to achieve more efficient land use and promote industrial upgrading. The government should take responsibility for supplying infrastructure, perfecting related laws and regulations, intervening the land use according to the law of markets, and expanding the investment in education, as well as science and technology.
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Jiang, Wenyuan, Zhenxiang Zeng, Zhengyun Zhang, and Yichen Zhao. "Regulation and Optimization of Urban Water and Land Resources Utilization for Low Carbon Development: A Case Study of Tianjin, China." Sustainability 14, no. 5 (February 26, 2022): 2760. http://dx.doi.org/10.3390/su14052760.
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The consumption of energy and resources produces carbon emissions and exacerbates global warming. As the basic resources for urban development, the development and utilization of water and land resources consume a large amount of energy, which results in carbon emissions. This paper presents a study aimed at analyzing the interaction of urban water–land–energy and its carbon emission effects and finding ways to achieve the win-win situation of carbon emission reduction and economic development. We used an SD-MOP model combined with system dynamics (SD) and multi-objective programming (MOP) to describe the feedback relationship between urban water and land resources utilization and carbon emissions, designed a comprehensive scheme for carbon emission reduction goal and optimized it in order to achieve the low carbon development goal. Tianjin, one of the four province-level municipalities, was investigated as a case study for this research. The simulation results indicate that Tianjin’s carbon emissions from water and land utilization will peak around 2025 when applying the comprehensive regulation scheme. After optimization, the optimal regulation scheme would achieve considerable social, economic and environmental benefits. We suggest the implementation of measures including the optimization of the industrial, energy and land use structure; the improvement of energy efficiency; increasing residents’ low carbon awareness; and strengthening industrial and domestic water savings to realize the low carbon development of the city. The findings of this study will be useful for the management of urban water and land utilization.
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Mahmoodi, S., K. Dutta, D. Basu, and S. Agrawal. "UNDERSTANDING LINK BETWEEN LAND SURFACE TEMPERATURE AND LANDSCAPE HETEROGENEITY: A SPATIO-TEMPORAL AND INTER-SEASONAL VARIABILITY STUDY ON KABUL CITY, AFGHANISTAN." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5/W2 (December 5, 2019): 57–65. http://dx.doi.org/10.5194/isprs-annals-iv-5-w2-57-2019.
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Abstract. Satellite imageries were used to study temporal and seasonal patterns of Land Surface Temperature (LST) in Kabul, followed by establishing an interrelation with Land Use Land Cover (LULC) changes occurring in the city. LULC and LST changes were examined based on Landsat Thematic Mapper (TM) and Landsat Operational Land Imager (OLI), Thermal Infrared Sensors (TIRS). LST Maps were derived from the thermal band of Landsat images for decadal study (Winter/Summer; 2008–09 and 2018–19). Visible bands were utilized for supervised LULC classification in the same decade. Results showed that Kabul City expanded rapidly over the study period from 232.28 km2 to 371.08 km2 in one decade (2009–2019). Other land cover classes i.e. barren land, mountains and vegetation, were observed to be converted to urban class i.e. residential, commercial, and industrial. High LST zones of Kabul city consisted of mountains, barren land and urban areas. Notable difference of 3 °C was observed between urban and vegetated lands. This study successfully identified the areas (i.e. district 12, district 13 and district 17) currently affected by rapid urban sprawl. The results also highlighted the changes in LST pattern caused by urbanization. The study will help the government, private sector investors and land planners to develop sustainable land management policies.
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Li, Bo, Yue Wang, Tong Wang, Xiaoman He, and Jan K. Kazak. "Scenario Analysis for Resilient Urban Green Infrastructure." Land 11, no. 9 (September 4, 2022): 1481. http://dx.doi.org/10.3390/land11091481.
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With the advancement of urbanization, the stress on the green infrastructure around the urban agglomeration has intensified, which causes severe ecological problems. The uncertainty of urban growth makes it difficult to achieve effective protection only by setting protection red lines and other rigid measures. It is of practical significance to optimize the resilience of the stressed green infrastructure. To this end, we explore a scenario simulation analysis method for the resilience management of green infrastructure under stress. This research applies artificial neural network cellular automata to simulate the impacts of the Chang-Zhu-Tan urban agglomeration expansion on the green infrastructure in 2030 in three scenarios: no planning control, urban planning control, and ecological protection planning control. Based on the analysis, we identify four green infrastructure areas under stress and formulate resilience management measures, respectively. The results show that: (1) The distribution pattern of green infrastructure under stress is different in three scenarios. Even in the scenario of ecological protection planning and control, urban growth can easily break through the ecological protection boundary; (2) Residential, industrial, and traffic facility land are the main types of urban land causing green infrastructure stress, while forest, shrub, and wetland are the main types of the stressed green infrastructure; (3) Efficient protection of green infrastructure and the management of the urban growth boundary should be promoted by resilient management measures such as urban planning adjustment, regulatory detailed planning, development strength control and setting up the ecological protection facilities for the stressed green infrastructure areas of the planning scenarios and the no-planning control scenarios, for the areas to be occupied by urban land, and for the important ecological corridors. The results of this study provide an empirical foundation for formulating policies and the methods of this study can be applied to urban ecological planning and green infrastructure management practice in other areas as well.
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Dorosh, O., and D. Tretiachenko. "Planning documentation as a management tool of land of public use." Balanced nature using, no. 4 (October 28, 2021): 55–61. http://dx.doi.org/10.33730/2310-4678.4.2021.253085.
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The article defines the concept of public lands located both within and outside settlements. It is established that the legal regime of public lands is formed by legislative and regulatory documents that determine the rules of placement of relevant facilities, namely public buildings, and their use. It has been determined that public lands have a public use regime, but restrictions may be imposed on their use. It has been established that public lands belong to all nine categories of land and the affiliation of individual public lands to each of the land categories has been determined. Accordingly, the legal regime in different public lands differs significantly. The irrationality and inexpediency of separating public lands into a separate category of lands are substantiated. It has been established that planning documentation is an effective tool for the management of public lands, and the affiliation of such lands to one of the categories allows to determine which of the planning documents is relevant for the management of these lands. The land management, urban planning and interdisciplinary planning documentation is analysed and planning documents, the development of which is relevant and expedient for the management of public lands of certain categories of land are established. It was concluded that the formation of an integrated community space and effective management of its lands, including public use, it is important to systematically use land management and urban planning documentation on the basis of a community approved strategy.
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Han, Huilian, and Hui Li. "Coupling Coordination Evaluation between Population and Land Urbanization in Ha-Chang Urban Agglomeration." Sustainability 12, no. 1 (January 2, 2020): 357. http://dx.doi.org/10.3390/su12010357.
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As the major form of urbanization, urban agglomeration integrates urban resources, adjusts industrial structure, narrows the gap between urban and rural areas, enhances urban function, strengthens urban competitiveness, and promotes the strategy of regional sustainable development. Based on the panel data of 10 cities in Ha-Chang urban agglomeration from 2000 to 2014, this paper establishes an evaluation index-system of population and land urbanization quality level, and analyzes the coordination degree, spatial heterogeneity, and spatiotemporal evolution of urbanization, through using the methods of range standardization, entropy weight model, and coupling coordination models. Results show that the quality of population and land urbanization was increasing gradually during the study period. However, the coordination degree between population and land urbanization rate is decreasing. The comprehensive level of population and land urbanization increasing yearly, from low-level coupling coordination reverse to high-level coupling stage. The quality differences between the population and land urbanization of the ten cities of the Ha-Chang urban agglomeration are significant. The radiation function of large-sized cities and the regulation of medium-sized cities are not strong, and the coordination degree of small-sized cities is low. In view of the coordinated status of the Ha-Chang urban agglomeration, differently size cities should propose corresponding urbanization development strategies to enhance the main function of the urban agglomeration.
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Ruan, Jia, and Wan Na. "The Construction and Planning of Multi-Project Management System." Open House International 42, no. 3 (September 1, 2017): 83–87. http://dx.doi.org/10.1108/ohi-03-2017-b0017.
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The contradiction between economic development and resource environment has become increasingly acute with the continuous societal and industrial development. The implementation of waste and renewable resource recycling can alleviate the conflict. The multi-project management theory was applied to the construction of an industrial park based on the characteristics of the circular economy theory. In this paper, the basic definition of circular economy and industrial parks was expounded, and the application of circular economy in the planning of parks was studied from five major aspects. From industrial selection, property function and volume allocation planning, industrial park planning and design were studied. Starting from the function structure of the park, the setting of the slag yard outside the park, the green land and the landscape, the road planning of the park, the planning of industrial parks of chemical recycling economy in Gansu was studied. Through empirical analysis, theoretical support and model reference were provided for the construction of circular economy in other industrial parks.