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A Geospatial Approach to Measure Social Benefits in Urban Land Use Optimization Problem

Author

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  • Md. Mostafizur Rahman

    (Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics, 3 Műegyetem rkp., K Building First Floor 31., H-1111 Budapest, Hungary
    Department of Urban and Regional Planning, Rajshahi University of Engineering and Technology, Rajshahi 6204, Bangladesh)

  • György Szabó

    (Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics, 3 Műegyetem rkp., K Building First Floor 31., H-1111 Budapest, Hungary)

Abstract

Different conflicting objectives are used in urban land use optimization problems. The maximization of social benefit is one of the important objectives in urban land use optimization problems. Many researchers have used different methods to measure social benefits in land use optimization. Studies show that there is no established method to measure social benefit in the urban land use allocation game. Against this background, this study aims to (a) identify the appropriate indicators as a measure of social benefit, and (b) propose a composite index to measure social benefit in urban land use optimization problems. Based on the literature review and expert opinion, this study identifies four indicators as a measure of social benefit. These are spatial compactness, land use compatibility, land use mix, and evenness of population distribution. Using the weighted sum approach, this study proposes a composite social benefit index (SBI) to measure social benefit in urban land use allocation/optimization problems and planning. The study suggests that spatial compactness is the most influential indicator to the SBI, but the most critical indicator is compatibility, whose 11.60% value reduction from 0.5 alters the decision of choice. Finally, the proposed method was applied in Rajshahi city in Bangladesh. The result suggests the potential of using SBI in the land use allocation problem. It is expected that the proposed social benefit index (SBI) will help the land use optimization and planning and will be helpful for decision makers.

Suggested Citation

  • Md. Mostafizur Rahman & György Szabó, 2021. "A Geospatial Approach to Measure Social Benefits in Urban Land Use Optimization Problem," Land, MDPI, vol. 10(12), pages 1-23, December.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:12:p:1398-:d:704741
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    References listed on IDEAS

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    1. Md. Mostafizur Rahman & György Szabó, 2021. "Impact of Land Use and Land Cover Changes on Urban Ecosystem Service Value in Dhaka, Bangladesh," Land, MDPI, vol. 10(8), pages 1-27, July.
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    Cited by:

    1. Tingting Pan & Yu Zhang & Fengqin Yan & Fenzhen Su, 2023. "Collaborative Optimal Allocation of Urban Land Guide by Land Ecological Suitability: A Case Study of Guangdong–Hong Kong–Macao Greater Bay Area," Land, MDPI, vol. 12(4), pages 1-17, March.
    2. Tingting Pan & Fengqin Yan & Fenzhen Su & Vincent Lyne & Chaodong Zhou, 2022. "Land Use Optimization for Coastal Urban Agglomerations Based on Economic and Ecological Gravitational Linkages and Accessibility," Land, MDPI, vol. 11(7), pages 1-18, July.

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