scholarly journals Layout optimization of regional urban development and agricultural production based on spatial decision-making: A case study of Linchuan district in Jiangxi province

2019 ◽  
Vol 34 (3) ◽  
pp. 526
Author(s):  
Yue ZHAO ◽  
Zhi-jun LUO ◽  
Li-ping CAO ◽  
Shan ZHONG ◽  
Jie ZHAO
Keyword(s):  
Decision Making ◽  
Urban Development ◽  
Agricultural Production ◽  
Layout Optimization ◽  
Jiangxi Province ◽  
Spatial Decision Making

scholarly journals Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)

2021 ◽  
Vol 10 (6) ◽  
pp. 403
Author(s):  
Jiamin Liu ◽  
Yueshi Li ◽  
Bin Xiao ◽  
Jizong Jiao
Keyword(s):  
Decision Making ◽  
Clustering Algorithm ◽  
Fuzzy Membership Function ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection ◽  
Spatial Distribution Characteristics ◽  
Criteria Weights ◽  
Spatial Decision Making ◽  
Complex Decision

The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods.

Optimizing agricultural production with socioeconomic considerations: A case study from Palestine

2020 ◽  
Vol 8 (2) ◽  
pp. 54-89
Author(s):  
Fathi M. Anayah
Keyword(s):  
Decision Making ◽  
Agricultural Production ◽  
Multiple Criteria Decision Making ◽  
Irrigated Agriculture ◽  
Multiple Objective ◽  
Pareto Optimal ◽  
Net Benefit ◽  
Weighted Goal Programming ◽  
Socioeconomic Considerations

Agriculture is not only the main source of income to most Palestinian families; it is also the link to connect them to their valuable land and water resources. Farmers seek assistance from agronomists and decision makers to cultivate the proper products. In this study, the best selection of agricultural crops is addressed in the multiple-objective context. The study deals with three conflicting objective functions: net benefit, agricultural production, and labor employment. Four-stage procedure is adopted combining multiple-objective optimization, simple valuation methods, cluster analysis, and multiple criteria decision making (MCDM) methods. Pareto optimal curves are used to evaluate the marginal prices of both land area and labor day. The theories of utility and benefit cost are applied to rank the non-dominant alternatives. Two MCDM methods, namely weighted goal programming and step methods, are employed in the evaluation. The above methodology is applied to the case study of Qalqilya District in which irrigated agriculture under semi-arid conditions prevails. The results show that Pareto optimal is a powerful tool to determine the marginal price of non-monetary commodities. It is also found that the average annual net benefit, agricultural production, and labor employment for the cultivated area are $941,423, 3,288 tons, and 14,671 days, respectively, in the best compromise plan. The inclusion of socioeconomic considerations in decision making on agricultural systems is crucial for their sustainable development.

Optimizing agricultural production with socioeconomic considerations: A case study from Palestine

2020 ◽  
Vol 8 (2) ◽  
pp. 54-89
Author(s):  
Fathi M. Anayah
Keyword(s):  
Decision Making ◽  
Agricultural Production ◽  
Multiple Criteria Decision Making ◽  
Irrigated Agriculture ◽  
Multiple Objective ◽  
Pareto Optimal ◽  
Net Benefit ◽  
Weighted Goal Programming ◽  
Socioeconomic Considerations

Agriculture is not only the main source of income to most Palestinian families; it is also the link to connect them to their valuable land and water resources. Farmers seek assistance from agronomists and decision makers to cultivate the proper products. In this study, the best selection of agricultural crops is addressed in the multiple-objective context. The study deals with three conflicting objective functions: net benefit, agricultural production, and labor employment. Four-stage procedure is adopted combining multiple-objective optimization, simple valuation methods, cluster analysis, and multiple criteria decision making (MCDM) methods. Pareto optimal curves are used to evaluate the marginal prices of both land area and labor day. The theories of utility and benefit cost are applied to rank the non-dominant alternatives. Two MCDM methods, namely weighted goal programming and step methods, are employed in the evaluation. The above methodology is applied to the case study of Qalqilya District in which irrigated agriculture under semi-arid conditions prevails. The results show that Pareto optimal is a powerful tool to determine the marginal price of non-monetary commodities. It is also found that the average annual net benefit, agricultural production, and labor employment for the cultivated area are $941,423, 3,288 tons, and 14,671 days, respectively, in the best compromise plan. The inclusion of socioeconomic considerations in decision making on agricultural systems is crucial for their sustainable development.

System of Residential Spatial in Wuhan Based on WebGIS

2011 ◽  
Vol 320 ◽  
pp. 559-562
Author(s):  
Xiao Hua Dou ◽  
Ren Zhong Liu ◽  
Xin Zheng Cheng
Keyword(s):  
Decision Making ◽  
Urban Development ◽  
Real Time ◽  
Housing Prices ◽  
Residential Area ◽  
Income Groups ◽  
Area Distribution ◽  
Residential Space

The thesis designs and develops the system for Housing space information in Wuhan based on WebGIS and Oracle. this system by applied case study of retrieving and presenting residential area distribution among groups with different income, and realize some function of residents of housing information in real-time queries and spatial distribution’s visualization, and pays support and contribution to the decision-making of urban development and government or some relative department for planning and macro-control housing prices, then avoid different income groups appear isolation tendency for Wuhan residents layout, and promote a harmonious residential space.

scholarly journals Bonusz Agro Cooperative: loan options

2020 ◽  
Vol 23 (2) ◽  
pp. 301-312
Author(s):  
Tamas Mizik
Keyword(s):  
Decision Making ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Investment Decision ◽  
Financial Resources ◽  
Decision Making Process ◽  
Industrial Site ◽  
Storage Facility ◽  
Legal Form

Cooperation of producers is essential in agricultural production. The producer group is the official organization of the European arable sector. The Bonusz Agro producer group was established in 2015, and its legal form is cooperative. They use cooperative principles such as the democratic decision-making process ‘one member – one vote’ principle for both significant and insignificant decisions, unlike some other cooperatives. The management of the cooperative is considering investing in a new industrial site. This new site will be for cleaning/drying the produce, and storing it in a new storage facility, among other things. The company currently lacks sufficient financial resources to make this investment possible. One of the obstacles to obtaining the necessary finances is the lack of collateral the organization has control over. This case study examines the investment decision. The main focus is on how the organization can enlist the contribution of all members. The most delicate part of the decision-making dilemma is that all members would have to offer some of their own assets as collateral. These assets would be part of their agricultural land, which is necessary to obtain the required external financial resources from banks.

scholarly journals Framework for mapping the drivers of coastal vulnerability and spatial decision making for climate-change adaptation: A case study from Maharashtra, India

AMBIO ◽  
2018 ◽  
Vol 48 (2) ◽  
pp. 192-212 ◽  
Author(s):  
Pandian Krishnan ◽  
Pachampalayam Shanmugam Ananthan ◽  
Ramachandran Purvaja ◽  
Jeyapaul Joyson Joe Jeevamani ◽  
John Amali Infantina ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Climate Change Adaptation ◽  
Coastal Vulnerability ◽  
Spatial Decision Making

scholarly journals Exclusion and non-participation in Marine Spatial Planning

2017 ◽  
Author(s):  
Wesley Flannery ◽  
Noel Healy ◽  
Marcos Luna
Keyword(s):  
Decision Making ◽  
Stakeholder Engagement ◽  
Paradigm Shift ◽  
Spatial Planning ◽  
Power Dynamics ◽  
Marine Spatial Planning ◽  
Marine Management ◽  
The Us ◽  
Spatial Decision Making

Marine Spatial Planning (MSP) offers the possibility of democratising management of the seas. MSP is, however, increasingly implemented as a form of post-political planning, dominated by the logic of neoliberalism, and a belief in the capacity of managerial-technological apparatuses to address complex socio-political problems, with little attention paid to issues of power and inequality. There is growing concern that MSP is not facilitating a paradigm shift towards publicly engaged marine management, and that it may simply repackage power dynamics in the rhetoric of participation to legitimise the agendas of dominant actors. This raises questions about the legitimacy and inclusivity of participatory MSP. Research on stakeholder engagement within MSP has predominately focused on assessing experiences of active MSP participants and has not evaluated the democratic or inclusive nature of these processes. Adopting the Northeast Ocean Planning initiative in the US as a case study, this paper provides the first study of exclusion and non-participation of stakeholders in an MSP process. Three major issues are found to have had an impact on exclusion and non-participation: poor communication and a perception that the process was deliberately exclusionary; issues arising from fragmented governance, territorialisation and scale; and lack of specificity regarding benefits or losses that might accrue from the process. To be effective, participatory MSP practice must: develop mechanisms that recognise the complexity of socio-spatial relationships in the marine environment; facilitate participation in meaningful spatial decision-making, rather than in post-ideological, objective-setting processes; and create space for debate about the very purpose of MSP processes.

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