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Добірка наукової літератури з теми "Multi-Criteria Spatial Decision Support System (MC-SDSS)"

Автор: Grafiati

Опубліковано: 14 березня 2023

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Статті в журналах з теми "Multi-Criteria Spatial Decision Support System (MC-SDSS)"

BALI, ALI, SEYED MASOUD MONAVARI, BORHAN RIAZI, NEMATOLLAH KHORASANI, and MIR MASOUD KHEIRKHAH ZARKESH. "A SPATIAL DECISION SUPPORT SYSTEM FOR ECOTOURISM DEVELOPMENT IN CASPIAN HYRCANIAN MIXED FORESTS ECOREGION." Boletim de Ciências Geodésicas 21, no. 2 (June 2015): 340–53. http://dx.doi.org/10.1590/s1982-21702015000200001.

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Ecotourism, as a form of sustainable nature-based tourism, promotes conservation of ecological and scenic values. In this study, a Spatial Decision Support System, SDSS, was developed based upon Multi Criteria Evaluation, MCE, for ecotourism development in the Caspian Hyrcanian Mixed Forests ecoregion, northern Iran. For this, important criteria and constraints for ecotourism development were shortlisted using the Delphi Method. The criteria were weighted using Analytical Hierarchy Process, AHP. The obtained results indicated that "distance from water resources", "land use", "slope", "soil", "climate", "distance from roads", "land cover density", "erosion", and "distance from residential areas" were the most important criteria, respectively. The findings suggest that GIS-based SDSS is suitable to engage the various criteria affecting the development of ecotourism destinations. This empirical research develops a new method that can significantly facilitate planning forecotourism development with respect to ecological capability of ecotourism destinations.

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Gallo, John A., Amanda T. Lombard, and Richard M. Cowling. "Conservation Planning for Action: End-User Engagement in the Development and Dual-Centric Weighting of a Spatial Decision Support System." Land 12, no. 1 (December 26, 2022): 67. http://dx.doi.org/10.3390/land12010067.

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The implementation of systematic conservation plans often involves collaboration among several organizations, so attaining consensus on the plan is an important driver of implementation success. We utilized participatory action research to explore an approach for developing consensus among organizations and facilitating implementation. A real-world challenge was addressed in the Little Karoo, South Africa by creating a spatial decision support system (SDSS) based primarily on weighted multi-criteria GIS overlays, but with an “incremental allocation algorithm” to allow efficient solution sets (i.e., systematic conservation planning). The end-users of the SDSS participated in the choice of criteria, in the selection of model parameter values, and in co-defining their group process. We co-designed a dual-centric weighting process in which the participants developed a set of weights and parameter values for attaining consensus among the organizations, and also a set for yielding the result that is best for biodiversity. The process yielded a consensus on the spatial priorities and, thus, a way forward. The estimated spatial priorities for each organization differed dramatically from each other and from the consensus priorities, indicating that a large discrepancy had been resolved. Our study indicates that the consensus-building and decision-support benefits of participatory multi-criteria overlay approaches merit closer attention in systematic conservation planning. The use of weighted overlays and an incremental allocation algorithm appear to be useful approaches for streamlining the participatory process while maintaining rigor and spatial complementarity. Finally, we uncovered theoretical psychological ramifications of the dual-centric weighting process that are promising and merit testing.

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Kučas, Andrius. "LOCATION PRIORITIZATION BY MEANS OF MULTICRITERIA SPATIAL DECISION‐SUPPORT SYSTEMS: A CASE STUDY OF FOREST FRAGMENTATION‐BASED RANKING OF FOREST ADMINISTRATIVE AREAS." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 18, no. 4 (December 31, 2010): 312–20. http://dx.doi.org/10.3846/jeelm.2010.36.

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Forest and conservation managers as decision‐makers must deal with many competing criteria in order to find optimal solutions which best describe sustainable forest development. The aim of the study was to elaborate a framework for forest fragmentation‐based forest administrative area ranking in order to support sustainable forest development. In this paper there is presented and discussed a two‐stage multiple‐criteria spatial decision‐support system (MC–SDSS), employing it to locate a potential forest administrative area under different forest fragmentation conditions. Lithuanian state forest enterprises were selected as forest administrative areas and used as alternative options for ranking. Amount of forest areas, representing different forest fragmentation components (edge, perforated, undetermined, interior, patch, and transitional) in each state forest enterprise area, was taken as a criterion for alternative evaluation. Calculations of criterion significance were performed. Ranks for state forest enterprises were defined using technique for order preference by similarity to ideal solution (TOPSIS) and simple additive weighting (SAW) method. Results of this study suggest that forest fragmentation‐based ranking of forest administrative regions is so important that it could potentially influence ecological processes during recurring forest development. Santrauka Mišku ir saugomu teritoriju valdytojai, kaip sprendimu priemejai, ieškodami optimaliu darnios miško pletros sprendimu, dažnai susiduria su ivairiais, dažniausiai prieštaringai vertinamais, kriterijais. Šios studijos tikslas yra sukurti miško frag‐mentacija pagristus mišku administraciniu teritoriju rangavimo metodikos metmenis darnia miško pletra lemiančiu sprendimu priemimui palengvinti. Pateikiama ir apibendrinama dvieju lygiu erdviniu daugiatiksliu sprendimu paramos sistema (MC‐SDSS), skirta potencialiems mišku administraciniams vienetams su atitinkama miško fragmentacijos situacija nustatyti. Tyrimui kaip vertinimo alternatyvos buvo pasirinktos Lietuvos mišku urediju teritorijos. Alternatyvu vertinimo kriterijumi buvo pasirinktas skirtingu fragmentacijos tipu (miško pakraščio, prasiskverbiančio miško, nenustatyto miško, ištiso miško, retu miško želiniu ir pereinamosios miško stadijos) miško plotas kiekvienoje mišku uredijoje. Atlikti kriteriju reikšmingumo skaičiavimai. Prioritetu eile mišku uredijoms buvo nustatyta taikant iprastinio informacijos lygio TOPSIS ir SAWmetodus. Tyrimai parode, kad miško fragmentacija pagristas mišku administraciniu vienetu rangavimas yra svarbus ir potencialiai gali tureti itakos ekologiniams procesams, vykdant periodinius miško veisimo bei atnaujinimo darbus. Резюме Управляющие лесными хозяйствами и охраняемыми территориями как лица, ответственные за поиск и принятие оптимальных решений, способствующих сбалансированному развитию леса, нередко встречаются с разными, чаще всего противоречивыми критериями оценки. Целью настоящего исследования было создание каркаса методики ранжирования лесных административных территорий на основании фрагментации леса, предназначенной для облегчения принятия решений, обуславливающих сбалансированное развитие леса. В статье представлена и обобщена пространственная многоцелевая двухуровневая (MC-SDSS) система помощи в принятии решений, предназначенная для определения потенциальных лесных административных единиц с соответствующей ситуацией фрагментации леса. Для исследования были выбраны территории лесничеств Литвы как альтернативный вариант оценки. В каждом лесничестве были выбраны участки леса с разными типами фрагментации (окраины леса, проникающего леса, неопределенного леса, сплошного леса, пятнистого покрытия лесом и леса переходной стадии) в качестве критериев оценки альтернативных вариантов. Проведены подсчеты значимости критериев. Методами обычного уровня информации TOPSIS и SAW был определен ряд приоритетов. Исследования показали, что ранжирование административных единиц, основанное на фрагментации леса, является важным, так как оно потенциально может оказывать влияние на экологические процессы, происходящие при проведении периодических работ по созданию и обновлению леса.

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Jeong, Jin Su, and Álvaro Ramírez-Gómez. "Development of a web graphic model with fuzzy-decision-making Trial and Evaluation Laboratory/Multi-criteria-Spatial Decision Support System (F-DEMATEL/MC-SDSS) for sustainable planning and construction of rural housings." Journal of Cleaner Production 199 (October 2018): 584–92. http://dx.doi.org/10.1016/j.jclepro.2018.07.227.

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Musakwa, W., E. N. Makoni, M. Kangethe, and L. Segooa. "Developing a decision support system to identify strategically located land for land reform in South Africa." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2 (November 11, 2014): 197–203. http://dx.doi.org/10.5194/isprsarchives-xl-2-197-2014.

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Land reform is identified as a key tool in fostering development in South Africa. With two decades after the advent of democracy in South Africa, the land question remains a critical issue for policy makers. A number of frameworks have been put in place by the government to identify land which is strategically located for land reform. However, many of these frameworks are not well aligned and have hampered the government’s land reform initiative in promoting inclusive development. Strategically located land is herein defined as land parcels that are well positioned for the promotion of agriculture, human settlements, rural and tourism development. Accordingly, there is a need to develop a decision tool which facilitates the identification of strategically located land for development. This study proposes the use of geographic information systems (GIS), earth observation (EO) data and multi-criteria decision making (MCDM) to develop a spatial decision support system (SDSS) to identify strategically located land for land reform. The SDDS was therefore designed using GIS, EO data and MCDM to create an index for identification of strategically located land. Expert-led workshops were carried out to ascertain criteria for identifying strategically located land and the analytical hierarchy process (AHP) was utilised used to weight the criteria. The study demonstrates that GIS and EO are invaluable tools in facilitating evidence-based decisions for land reform. However, there is need for capacity building on GIS and EO in government departments responsible for land reform and development planning. The study suggests that there is an urgent need to develop sector specific criteria for the identification of strategically located land for inclusive development.

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Girard, Luigi Fusco, Maria Cerreta, and Pasquale De Toro. "Towards a Local Comprehensive Productive Development Strategy: A Methodological Proposal for the Metropolitan City of Naples." Quality Innovation Prosperity 21, no. 1 (April 30, 2017): 223. http://dx.doi.org/10.12776/qip.v21i1.779.

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Purpose: Identify homogeneous areas for metropolitan cities in order to activate a new governance based on territorial synergistic and symbiotic conditions, thus increasing multidimensional territorial productive processes through spatial planning.Methodology/Approach: The adopted methodology aimed at structuring a Spatial Decision Support System (SDSS) through three main phases: 1) Selection of criteria and indicators; 2) Statistical implementation procedures; 3) Multi-criteria evaluation.Findings: Experimentation of a useful procedure for supporting the elaboration of strategic metropolitan plans oriented to development strategies for achieving a comprehensive territorial productivity. The obtained results can support the selection of territorial opportunities able to integrate complementary local resources and to activate synergies and symbiosis among them, combining tangible and intangible components.Research Limitation/implication: The research is the first step of a more general study that will be improved with the availability of more data, especially with reference to the industrial and economic processes.Originality/Value of paper: Proposal of an approach based on a complete integration between Geographic Information System, Multivariate Analysis and Multi-Criteria Evaluation in order to improve the governance of metropolitan cities.

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Gallo, John A., Amanda T. Lombard, Richard M. Cowling, Randal Greene, and Frank W. Davis. "Meeting Human and Biodiversity Needs for 30 × 30 and beyond with an Iterative Land Allocation Framework and Tool." Land 12, no. 1 (January 14, 2023): 254. http://dx.doi.org/10.3390/land12010254.

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Spatial conservation prioritization does not necessarily lead to effective conservation plans, and good plans do not necessarily lead to action. These “science-action” gaps are pernicious and need to be narrowed, especially if the international goal of conserving 30% of the planet by 2030 is to be realized. We present the Earthwise Framework, a flexible and customizable spatial decision support system (SDSS) architecture and social process to address the challenges of these science-action gaps. Utilizing case study experience from regions within California, South Africa, and British Columbia, we outline the framework and provide the Little Karoo, South Africa SDSS data, code and results to illustrate five design strategies of the framework. The first is to employ an “open science” strategy for collaborative conservation planning and action. Another is that marginal value functions allow for the continuous accounting of element (e.g., habitat) representation in prioritization algorithms, allowing for an SDSS that is more automated and saves valuable time for stakeholders and scientists. Thirdly, we program connectivity modeling integrated within the SDSS, with an algorithm that not only automatically calculates all the least cost corridors of a region, but prioritizes among them and removes the ones that do not make ecological sense. Fourth, we highlight innovations in multi-criteria decision analysis that allow for both cost-efficient plan development, like representative solution sets, but also land-use planning requirements, like site specific valuation, in what appears to be a more transparent, understandable, and usable manner than traditional approaches. Finally, strategic attention to communicating uncertainty is also advocated. The Earthwise Framework is an open science endeavor that can be implemented via a variety of software tools and languages, has several frontiers for further research and development, and shows promise in finding a better way to meet the needs of both humans and biodiversity.

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Nodari, Claudia, Maurizio Crispino, and Emanuele Toraldo. "From Traditional to Electrified Urban Road Networks: The Integration of Fuzzy Analytic Hierarchy Process and GIS as a Tool to Define a Feasibility Index—An Italian Case Study." World Electric Vehicle Journal 13, no. 7 (June 29, 2022): 116. http://dx.doi.org/10.3390/wevj13070116.

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To achieve sustainable development in the road sector, the use of Electric Vehicles (EVs) appears as a positive response to transport emissions. Among the available technologies, dynamic charging seems to overcome the main weakness points of EVs, even if it requires that traditional roads (t-roads) be equipped with a system providing electricity for EVs. Thus, so-called electrified roads (e-roads) must be implemented into the urban road networks. Since it is not possible to electrify all roads simultaneously, and also to consider the demand needs of citizens, a selection criterion is essential. This research describes and develops a simple, self-explanatory, repeatable, and adaptable selection criterion aimed at helping city managers in prioritizing the roads of an urban network to be upgraded from t-road to e-road status. This method belongs to the so-called Multicriteria Spatial Decision Support Systems (MC-SDSS)—processes useful for solving spatial problems through the integration of multicriteria analysis (Fuzzy Analytic Hierarchy Process, F-AHP) with a geo-referenced data management and analysis tool (GIS). The developed algorithm is based on several criteria related to the infrastructure/transport, social and environmental areas. The result of the implemented method is a Feasibility Index (FI), able to prioritize the roads most eligible to be upgraded as e-roads, as also verified by its application on the urban area of Milan (Italy).

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Karna, Bikash Kumar. "Road Network Planning for Sustainable Urban Development in Kirtipur Municipality, Nepal." Journal on Geoinformatics, Nepal 13 (March 13, 2017): 34–40. http://dx.doi.org/10.3126/njg.v13i0.16935.

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Road network deals with the development of a comprehensive plan for construction and operation of transportation facilities. In order to develop efficient and better transport facility, it is necessary to have a proper road network. In sustainable road network planning, planners put into consideration factors like gradients or slope, land-use and geology with community and governmental interest. These different considerations make the planning process complex and generate confusion in the decision making process. The use of geographic information system (GIS) and multi-criteria analysis (MCA) has helped planners to reduce complexity and to achieve desired and more accurate results. MCA prevents the imposition of criteria limit and gives opportunity to decision makers to enter their own judgments. This provides a better communication among the community for creating a more open choice for analysis and possible changes if necessary. In this study, road network has been analyzed with optimal least cost path algorithm of spatial analysis in GIS using different ancillary data layers and each layer weight-scoring has been computed with MCA in spatial decision support system (SDSS). The optimal least cost path would provide the best option with certainty and considers a gradient, connected neighbors, thematic cost and surface distance in three dimensional spaces. The path gradient can be adjusted as per the requirements, depending upon the terrain conditions and possible to design a more realistic route automatically with appropriate parameters.Nepalese Journal on Geoinformatics -13, 2014, Page: 34-40

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Souza da Silva, Gerald Norbert, and Márcia Maria Guedes Alcoforado de Moraes. "Decision Support for the (Inter-)Basin Management of Water Resources Using Integrated Hydro-Economic Modeling." Hydrology 8, no. 1 (March 5, 2021): 42. http://dx.doi.org/10.3390/hydrology8010042.

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The development of adequate modeling at the basin level to establish public policies has an important role in managing water resources. Hydro-economic models can measure the economic effects of structural and non-structural measures, land and water management, ecosystem services and development needs. Motivated by the need of improving water allocation using economic criteria, in this study, a Spatial Decision Support System (SDSS) with a hydro-economic optimization model (HEAL system) was developed and used for the identification and analysis of an optimal economic allocation of water resources in a case study: the sub-middle basin of the São Francisco River in Brazil. The developed SDSS (HEAL system) made the economically optimum allocation available to analyze water allocation conflicts and trade-offs. With the aim of providing a tool for integrated economic-hydrological modeling, not only for researchers but also for decision-makers and stakeholders, the HEAL system can support decision-making on the design of regulatory and economic management instruments in practice. The case study results showed, for example, that the marginal benefit function obtained for inter-basin water transfer, can contribute for supporting the design of water pricing and water transfer decisions, during periods of water scarcity, for the well-being in both basins.

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Більше джерел

Дисертації з теми "Multi-Criteria Spatial Decision Support System (MC-SDSS)"

TORABI, MOGHADAM SARA. "A New Integrated Multi-Criteria Spatial Decision Support System for urban energy planning in the built environment." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2706337.

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Sustainability contests represent a fundamental challenge to traditional urban development practices and concepts. Reducing energy consumption and greenhouse gas emissions from urban infrastructure and building stock, towards low-carbon cities requires a supportive planning process. In this regard, the use of appropriate tools and methods for addressing complex interactions of Urban Energy Planning (UEP) processes is needed. In particular, the problem of building stock energy consumption in the urban environment is crucial. A major aim of this research is to model energy consumption patterns based on bottom-up statistical-engineering combination methods. These methods evaluate the current status of energy consumption and different future energy saving scenarios to promote sustainable urban planning. However, the choice among urban energy planning scenarios is extensively based on multi-actors and multi-criteria aspects. Therefore, to anchor such a sustainable urban planning, a wider societal consensus building with an earnest and active engagement of relevant stakeholders in the city is essential. For this purpose, stakeholder-oriented approach plays a key role in implementing the effective strategies for urban and regional adaptation. The research, therefore, is also dealing with the integration of participative decisional processes of urban energy planning by organizing different focus groups involving real stakeholders. This fact can help to assess, over a short/long term period, the mix of measures by analyzing meaningful scenarios focused on energy consumptions, environmental impacts, economic and social aspects. The result is the development of a new Multi-Criteria Spatial Decision Support System (MC-SDSS), which is an interactive energetic plug-in in GIS environment using CommunityViz. This tool has been applied to a demonstrator case-study, related to a medium-sized city of the metropolitan area of Turin. However, the methodology used for delivering the tool can be applied to other contexts due to its flexibility. The new MC-SDSS is intended to facilitate the decisional process for stakeholders who can ask “what-if” questions and visualize “if-then” scenarios in a real-time. Moreover, it can explore a range of possible futures for assisting urban planners, policymakers and built environment stakeholders in their efforts to plan, design and manage low-carbon cities. This thesis is part of a national Smart City & Communities project, named “EEB-Zero Energy Buildings in Smart Urban Districts” (www.smartcommunitiestech.it).

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Falk, Peter R. "ARIES : an architectural implementation of a multi-criterion Spatial Decision Support System (SDSS)." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA341746.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1997.
"September 1997." Thesis advisor(s): Daniel R. Dolk, Dale M. Courtnery. Includes bibliography references (p. 267-274). Also available online.

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Книги з теми "Multi-Criteria Spatial Decision Support System (MC-SDSS)"

Falk, Peter R. ARIES: An architectural implementation of a multi-criterion Spatial Decision Support System (SDSS). Monterey, Calif: Naval Postgraduate School, 1997.

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ARIES: An Architectural Implementation of a Multi-Criterion Spatial Decision Support System (SDSS). Storming Media, 1997.

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Частини книг з теми "Multi-Criteria Spatial Decision Support System (MC-SDSS)"

Modica, Giuseppe, Maurizio Pollino, Luigi La Porta, and Salvatore Di Fazio. "Proposal of a Web-Based Multi-criteria Spatial Decision Support System (MC-SDSS) for Agriculture." In Lecture Notes in Civil Engineering, 333–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39299-4_38.

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Modica, Giuseppe, Maurizio Pollino, Simone Lanucara, Luigi La Porta, Gaetano Pellicone, Salvatore Di Fazio, and Carmelo Riccardo Fichera. "Land Suitability Evaluation for Agro-forestry: Definition of a Web-Based Multi-Criteria Spatial Decision Support System (MC-SDSS): Preliminary Results." In Computational Science and Its Applications -- ICCSA 2016, 399–413. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42111-7_31.

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