A spatial land-use planning support system based on game theory

Maleki, Jamshid; Masoumi, Zohreh; Hakimpour, Farshad; Coello, Carlos A. Coello

doi:10.1016/j.landusepol.2020.105013

Cited by 35 publications

(22 citation statements)

References 27 publications

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“…Land use planning is a complex process in which all land use types are evaluated simultaneously to set a systematic framework that takes into account the con icting goals and constraints of landowners (Kaiser et al 1995;Guoxin et al 2004;Ligmann-Zielinska et al 2008;Cao et al 2011;Batty, 2018;Song and Chen 2018;Maleki et al 2020). Spatial optimization of land use is a complex decision-making problem with multiple antagonistic objectives from different in uential parties and proper coordination between land use con icts is a major key to a successful spatial optimization.…”

Section: Introductionmentioning

confidence: 99%

“…2021;Mohammadifar et al 2021), optimal groundwater consumption (Mazandarani zadeh et al 2010;Pourzand and Zibaei 2010;Nazari et al 2020;Yazdian et al 2021), wood market (Mohammadi Limayi, 2006, paper market (Mohammadi Limayi, 2010), forest management (Rodriguez et al 2009;Shahi and Kant 2007;Ikonen et al 2020) and watershed management (Lee, 2012;Moradi and Mohammadi Limaei 2018;Adhami et al 2020). The game theory can simulate the decision-making behavior of different stakeholders with con icting interests and facilitate reaching a consensus among them (Rasmusen, 2001;Zhang, 2004;Maleki et al 2020). The application of game theory in the context of land use change can be categorized into monitoring (Wu, Wu, and Shen 2005) multi-objective optimization (Lee, 2012), and resolving land use con icts (Hui and Bao 2013;Maleki.…”

Section: Introductionmentioning

confidence: 99%

“…The game theory can simulate the decision-making behavior of different stakeholders with con icting interests and facilitate reaching a consensus among them (Rasmusen, 2001;Zhang, 2004;Maleki et al 2020). The application of game theory in the context of land use change can be categorized into monitoring (Wu, Wu, and Shen 2005) multi-objective optimization (Lee, 2012), and resolving land use con icts (Hui and Bao 2013;Maleki. et al 2020) studies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Developing an Integrated Land Allocation model based on Linear Programming and Game Theory

Hasti

Salmanmahiny

Rouhi

et al. 2022

Preprint

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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 the present 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 was acceptable to all stakeholders. The results showed that in 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 GIS environment.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Developing an Integrated Land Allocation model based on Linear Programming and Game Theory

Hasti

Salmanmahiny

Rouhi

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, starting from exploring the differences in the functions of PLES in different regions, as well as the functional relationship between them, it is an effective method to mitigate land-use conflicts to achieve balanced and coordinated development of the region by probing the shortcomings of regional development and clarifying the characteristics of regional spatial patterns. The available research on the methods of quantitative recognition of spatial conflict mainly includes the comprehensive index model, which calculates the spatial conflict index based on the complexity, fragility, and dynamics of the land use system [8]; the competitiveness evaluation model, which ranks the conflicts of the construction, agriculture, and ecology space by the establishment of a competitiveness evaluation index system based on land suitability and driving force [9]; and the suitability evaluation model, which identifies spatial conflicts by evaluating the suitability of the specific land-use types [10]. This kind of method, combined with the geographic information system (GIS), introduced the multi-criteria spatial decision support system [11,12].…”

Section: Introduction 1motivation and Literature Reviewmentioning

confidence: 99%

Production–Living–Ecological Conflict Identification Using a Multiscale Integration Model Based on Spatial Suitability Analysis and Sustainable Development Evaluation: A Case Study of Ningbo, China

Lin

Jiang

2021

Land

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Production–living–ecological space (PLES) basically covers the scope of spatial activities in people’s material production and spiritual life and is the basic carrier of human social development and economic activities. The coordinated development of PLES is an effective method to mitigate land-use conflicts to achieve balanced and coordinated development of the region. However, so far, compared with the single-scale study based on administrative unit, the PLES conflicts between microcosmic grid-scale receives less attention. Considering the important scale problems of the geographical study, this study aims to analyze the synergetic degree of PLES under different scales (administrative-unit, grid, and integrated multiscale) and to scientifically diagnose land use conflicts in Ningbo, China. Results indicated that production land and ecological land in Ningbo were continuously occupied by human activities from 2010 to 2018. The lowest and lower suitability areas of ecological space in Ningbo increased from 2010 to 2018. Land ecological suitability was seriously affected by urban expansion, its ecological value was reduced, and the PLES developed towards the trend of being uncoordinated. Multiscale coupling analysis showed that the PLES in Ningbo was in less conflict on the whole, but with the development of the economy, the coupling coordination degree of PLES was also damaged. This study establishes the different scales of a PLES coupling coordination development degree evaluation index system and enriches the methods of multiscale land use fusion conflict diagnosis and also provides a scientific reference for the optimized and sustainable development of regional territorial space.

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“…Some side effects of rapid urbanization are the increased density of residents and extended land consumption, which could lead to undesirable urban development. In this regard, urban built‐up areas are usually restricted to geographically dangerous areas such as riverbanks, floodways, and water basins subject to flooding hazards (Jha et al, 2012; Leal et al, 2021; Maleki et al, 2020; Zevenbergen et al, 2008). Besides, climate change has caused more floods than in the past 50 years (Kourgialas & Karatzas, 2011).…”

Section: Introductionmentioning

confidence: 99%

Flood susceptibility assessment for ungauged sites in urban areas using spatial modeling

Masoumi

2021

J Flood Risk Management

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In urban areas, flood susceptibility assessment is of special importance because of the high settlement population, properties, and infrastructures. Geospatial information science (GIS) provides a tool for investigating flood susceptibility based on several aspects including economic damages and critical infrastructures in cities. This study aims to provide a tool based on GIS analyses to support decision‐makers in identifying flood hazards in urban areas, in which previous flood data, flood causative factors, and urban infrastructure data are not adequately available. To assess flood susceptibility in the study area, the related spatial high‐resolution data were produced. Then, flood zones were estimated for different recurrence intervals using meteorological data. Finally, susceptibility was assessed in urban areas for different urban infrastructures using GIS modeling. The model was designed based on the assumption that any critical urban infrastructure, such as power towers, was affected by flood zones and, in addition to flooding, could cause hazards by itself. Moreover, five scenarios were defined to calculate susceptibility when in the problematic locations of the floodway. DoAsb Floodway was chosen as a case study located in Zanjan city, northwest of Iran. The results indicated the high‐susceptible areas around the floodway. Moreover, the flood susceptibility level for each urban infrastructure in the study area was calculated and classified into five classes from low susceptible to very high susceptible. Also, the results of the five scenarios showed if some parts of the floodway had problems, the susceptibility rate would be high. The generated flood susceptibility maps of this model can be used to plan suitable programs in order to avoid flood damage and ensure public safety.

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A spatial land-use planning support system based on game theory

Cited by 35 publications

References 27 publications

Developing an Integrated Land Allocation model based on Linear Programming and Game Theory

Developing an Integrated Land Allocation model based on Linear Programming and Game Theory

Production–Living–Ecological Conflict Identification Using a Multiscale Integration Model Based on Spatial Suitability Analysis and Sustainable Development Evaluation: A Case Study of Ningbo, China

Flood susceptibility assessment for ungauged sites in urban areas using spatial modeling

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