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Developing an integrated land allocation model based on linear programming and game theory
by
Pezhooli, Negin
, Rouhi, Haydar
, Hasti, Farzam
, Joolaei, Ramtin
, Salmanmahiny, Abdolrassoul
, Sakieh, Yousef
in
Algorithms
/ Artificial intelligence
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Conflict resolution
/ Conflicts
/ Conflicts of interest
/ Decision making
/ Earth and Environmental Science
/ Ecological effects
/ Ecology
/ Ecotoxicology
/ Environment
/ Environmental Management
/ Environmental Monitoring
/ Environmental science
/ Game Theory
/ Geographic information systems
/ Geographical information systems
/ Land development
/ Land use
/ Land use planning
/ landscapes
/ Linear programming
/ Modelling
/ Models, Theoretical
/ Monitoring/Environmental Analysis
/ Multiple objective analysis
/ Optimization
/ Optimization models
/ Players
/ Programming, Linear
/ Social factors
/ stakeholders
/ Theories
2023
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Developing an integrated land allocation model based on linear programming and game theory
by
Pezhooli, Negin
, Rouhi, Haydar
, Hasti, Farzam
, Joolaei, Ramtin
, Salmanmahiny, Abdolrassoul
, Sakieh, Yousef
in
Algorithms
/ Artificial intelligence
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Conflict resolution
/ Conflicts
/ Conflicts of interest
/ Decision making
/ Earth and Environmental Science
/ Ecological effects
/ Ecology
/ Ecotoxicology
/ Environment
/ Environmental Management
/ Environmental Monitoring
/ Environmental science
/ Game Theory
/ Geographic information systems
/ Geographical information systems
/ Land development
/ Land use
/ Land use planning
/ landscapes
/ Linear programming
/ Modelling
/ Models, Theoretical
/ Monitoring/Environmental Analysis
/ Multiple objective analysis
/ Optimization
/ Optimization models
/ Players
/ Programming, Linear
/ Social factors
/ stakeholders
/ Theories
2023
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Developing an integrated land allocation model based on linear programming and game theory
by
Pezhooli, Negin
, Rouhi, Haydar
, Hasti, Farzam
, Joolaei, Ramtin
, Salmanmahiny, Abdolrassoul
, Sakieh, Yousef
in
Algorithms
/ Artificial intelligence
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Conflict resolution
/ Conflicts
/ Conflicts of interest
/ Decision making
/ Earth and Environmental Science
/ Ecological effects
/ Ecology
/ Ecotoxicology
/ Environment
/ Environmental Management
/ Environmental Monitoring
/ Environmental science
/ Game Theory
/ Geographic information systems
/ Geographical information systems
/ Land development
/ Land use
/ Land use planning
/ landscapes
/ Linear programming
/ Modelling
/ Models, Theoretical
/ Monitoring/Environmental Analysis
/ Multiple objective analysis
/ Optimization
/ Optimization models
/ Players
/ Programming, Linear
/ Social factors
/ stakeholders
/ Theories
2023
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Developing an integrated land allocation model based on linear programming and game theory
Journal Article
Developing an integrated land allocation model based on linear programming and game theory
2023
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Overview
Land use configuration in any given landscape is the result of a multi-objective optimization process, which takes into account different ecological, economic, and social factors. In this process, coordinating stakeholders is a key factor to successful spatial land use optimization. Stakeholders need to be modeled as players who have the ability to interact with each other towards their best solution, while considering multiple goals and constraints at the same time. Game theory provides a tool for land use planners to model and analyze such interactions. In order to apply the spatial allocation model and address stakeholder conflicts, an integrated model based on linear programming and game theory was designed in this study. For implementing such model, we conducted an optimal land use allocation process through multi-objective land allocation (MOLA) and linear programming methods. Then, two groups of environmental and land development players were considered to implement the optimization model. The game algorithm was used to select the appropriate constraint so that the result would be acceptable to all stakeholders. The results showed that during the third round of the game, the decision-making process and the optimization of land uses reached the desired Nash Equilibrium state and the conflict between stakeholders was resolved. Ultimately, in order to localize the results, a suitable solution was presented in a GIS environment.
Publisher
Springer International Publishing,Springer Nature B.V
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