Academic literature on the topic 'Urban scenic area'

Rationalization of modern tourist scenic spot planning is very important to the development of the whole scenic area, and the rational planning of tourism resources of scenic area is based on the full development of resources, then making the systems be optimized in the scenic area. When applying GIS technology to urban tourism scenic spot, the distribution of tourism resources will be more reasonable. The application of GIS network analysis function on traffic planning and underground pipeline planning, which achieve programming optimization, and then doing three-dimensional visualization for network planning, clearly analysis the planning rationality. The superiority of GIS spatial analysis functions makes the tourist scenic spot planning optimization in low-cost, and also provides a good platform for the operation and management of scenic area.

For centuries, philosophers, policy-makers and urban planners have debated whether aesthetically pleasing surroundings can improve our wellbeing. To date, quantifying how scenic an area is has proved challenging, due to the difficulty of gathering large-scale measurements of scenicness. In this study we ask whether images uploaded to the website Flickr, combined with crowdsourced geographic data from OpenStreetMap, can help us estimate how scenic people consider an area to be. We validate our findings using crowdsourced data from Scenic-Or-Not, a website where users rate the scenicness of photos from all around Great Britain. We find that models including crowdsourced data from Flickr and OpenStreetMap can generate more accurate estimates of scenicness than models that consider only basic census measurements such as population density or whether an area is urban or rural. Our results provide evidence that by exploiting the vast quantity of data generated on the Internet, scientists and policy-makers may be able to develop a better understanding of people's subjective experience of the environment in which they live.

The protection of urban lakes is important for the construction and development of the city and the eco-environment. Affected by urban expansion, most urban lake scenic areas have suffered from a reduction in area and ecological degradation. Protecting and restoring urban lake scenic areas has been a hot topic among the public. Given this background information, we analyzed the ecological problems and contradictions from the perspective of landscape ecology. This study evaluated the landscape pattern and ecological sensitivity in the Chaohu Lake Basin, China. The proposed method was based on the analytical hierarchy process (AHP) and geographical information system (GIS). The results showed that the ecological sensitivity map was divided into four sensitivity levels consisting of level 1, level 3, level 5, and level 7, which represent 65%, 27%, 5%, and 2% of the study area. It was found that highly sensitive areas existed primarily in the highlands, where the natural conditions were poorer than in other areas and human activities have been developing rapidly. Additionally, the medium sensitive levels occurred in the low lands, probably in response to agricultural practices. Based on our results, three ecological zones were proposed, which require different protection and utilization solutions in order to restore the local ecological environment in terms of sustainable development.

With the continuous development of the social economy, the urban residential structure is also changing, and people have higher and higher requirements for the living environment. Moreover, the landscape construction of public spaces in cities is an important part of the city. It is easy to neglect the comprehensive consideration of historical development and regional culture in architectural projects. The overall lack of individuality in urban design, the lack of characteristics of adapting measures to local conditions, and the blind emphasis on architectural landscaping have led to a serious lack of regional cultural characteristics and spiritual culture in public places. Therefore, in terms of the problems of insufficient landscape construction quality and green concepts being insufficient in the construction environment of cities, an evaluation method system is established in the paper to further study the shortcomings of the scenic area architecture. What is more, relying on the personal experience of the users in the scenic spot and understanding the real needs of the public space landscape environment around the scenic spot, scientific methods and a complete system are applied to make an overall assessment of the public space in the built residential area. Besides, according to the data analysis of the simulation experiment, the advantages and disadvantages of the public space in the residential area are extracted. Combined with the current research status, the green concept design strategy of the public space landscape environment in the scenic spot is summarized. Lastly, according to the data analysis of the simulation experiment, the evaluation satisfaction of the activity atmosphere, plant configuration, and overall layout is improved by 4.2%, 3.7%, and 3.1% compared with other methods, which proves that this study has a more reasonable planning program to meet the various needs of public open space. The development of urban landscape design provides a valuable reference.

Yuelu mountain national park (5A scenic area) is a rare urban mountain scenic area. The major impacts from human activity are growing, such as largely unplanned tourist activity, urbanization, and accelerated the others responsible for environmental changes. It is unavoidable to have great pressure and influence on the diversity of fauna on the scenic area. In order to better understand the diversity of the decapod fauna in the Yuelu mountain national park, an intensive field survey has been carried out. A total of five species was collected, three species of atyid shrimps, Neocaridina palmata (Shen, 1948), N. yueluensis, new species, and Paracaridina longispina (Guo & He, 1992), one species of palaemonid prawn, Macrobrachium nipponense (De Haan,1849), and an invasive crayfish, Procambarus clarkii (Girard, 1852). N. yueluensis is distiguished from congeners by the shorter rostrum, the stout carpus of first pereiopod and the stout chela of second pereiopod, not sexual dimorphism of the third and fourth pereiopods, the long appendix interna and arising from the inner border of appendix masculina, and the narrower scaphocerite.

Abstract. In many famous tourist cities, there is a lack of big data analysis and perception of tourist behavior, which reflected in the existence of a large number of basic data in the scenic area. Through the traditional and/or non-special sensors of the Internet of Things, a large amount of special -temporal change data is collected, including video monitors data, RFID, WIFI, temperature and humidity, water depth sensors and other big data of the Internet of Things(IoT)that can perceive the location and environmental resource information of tourists. In addition, the thermodynamic data of the distribution location of tourists' mobile phones, although these data include the behavior data of tourist groups and individuals in the scenic spot, which can be most shown by supplying, lack of in-depth analysis and intelligent service application.As we all know, Guilin, Guangxi is a famous tourist attraction in the word. In this tourism city, the big data processing methods of location service include establishing a data processing framework, information extraction, fusion and batch processing technology. As a result of the location data of tourists in the scenic spot are constantly created over time, the location service data will be processed by stream mode. At the same time, dimension reduction analysis of big data is an important link in processing as it has a large volume but a low-value density. The analysis methods of location service include kernel density analysis, GIS spatial and temporal analysis, artificial intelligence deep learning, two-dimensional mapping, visualization processing results, and extraction of hot spots or scenic spots, etc. Spatial and temporal index technology is used to manage the big data of scenic spot location service and to improve the efficiency of data query and access. At the same time, a reasonable predictive analysis of data processing results is an important research method.The main system structure of an intelligent service platform includes platform, data processing sing, and analysis end, mobile management end. The platform includes a general user service module, location service module, a communication module, etc, which is responsible for providing reasonable service to customers. The data processing and analysis end include a data receiving module and a data processing and analysis module. Responsible for receiving and processing the location service data returned by the client. The mobile management end includes the scenic spot management module. Responsible for providing the manager with the distribution of tourists in the scenic area, the location information of the staff, the location of the emergency situation and other contents, and providing great help for the manager to maintain the order of the scenic area, reasonably dispatch personnel, and launch rescue in time. Development and design to show users good models and development concepts and typical artificial intelligence products, to improve the scenic spot tourist's playing efficiency and humanized experience and reduce the management cost.

Since the founding of the country, China’s urban–rural relations have experienced four stages: differentiation, opposition, coordination, and equivalence. The scope of rural research has expanded from individual villages to group relations, and the research content also tends to the urban–rural integration trend of factor flow. In the context of New Urbanization and the Rural Revitalization Strategies, urban–rural integration is an important starting point to solve urban–rural contradictions, and the metropolitan area is an important spatial carrier to achieving urban–rural integration. Based on investigating the key issues of urban–rural integration and metropolitan governance, this paper constructs a “place function” cognitive framework of urban–rural space in the metropolitan area, and takes Wuhan metropolitan area with its dense rural distribution as an example to recognize the urban–rural spatial characteristics of the metropolitan area scale from six dimensions: spatial structure, land use, settlement distribution, scenic spots, agricultural enterprises, and service facilities. Then, it proposes a spatial development model of the Wuhan metropolitan area of the “point axis structure-, functional area-, resilient network”, and further explores the urban–rural integration path of “planning guidance, policy promotion, and spatial support”.

Urban lakes are important natural, scenic and pattern attractions of the city, and they are potential development resources as well. However, lots of urban lakes in China have been shrunk significantly or disappeared due to rapid urbanization. In this study, four Landsat images were used to perform a case study for lake change detection in downtown Wuhan, China, which were acquired on 1991, 2002, 2011 and 2017, respectively. Modified NDWI (MNDWI) was adopted to extract water bodies of urban areas from all these images, and OTSU was used to optimize the threshold selection. Furthermore, the variation of lake shrinkage was analysed in detail according to SVM classification and post-classification comparison, and the coverage of urban lakes in central area of Wuhan has decreased by 47.37 km<sup>2</sup> between 1991 and 2017. The experimental results revealed that there were significant changes in the surface area of urban lakes over the 27 years, and it also indicated that rapid urbanization has a strong impact on the losses of urban water resources.

In order to improve the intelligence level of urban agglomeration landscape, this paper conducts dynamic observation and simulation prediction of urban agglomeration landscape based on geographic information system. There are many characteristics of GIS technology itself that can be well matched with urban landscape research, so in the process of actually studying the green space landscape pattern, GIS technology has a very large space to play. The first is to use GIS technology to collect basic data of different types of scenic spots. Raster data and vector data are two important data in GIS technology. Among them, vector data with point, line, and surface morphology can relatively express the landscape ecology. Raster data is to determine the specific position of each pixel through the vertical and horizontal row and column relationship of the pixel, which is relatively simple in structure and easy to topology. According to the characteristics of the urban agglomeration landscape, the urban agglomeration landscape is reconstructed on the virtual simulation platform using GIS technology. It can meet the long-term sustainable development of the ecological environment of the scenic area. The research of this paper mainly belongs to the scope of practical research. Taking the existing research results as the first point of experimental research, combined with the relevant research results of design, the dynamic observation and simulation prediction algorithm of urban agglomeration landscape are constructed.