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A Computational Geospatial Approach to Assessing Land-Use Compatibility in Urban Planning

Author

Listed:
  • Omid Mansourihanis

    (Department of Geosciences, Texas Tech University, Lubbock, TX 79409, USA)

  • Mohammad Javad Maghsoodi Tilaki

    (Department of Geography, School of Humanities, Universiti Sains Malaysia, Gelugor 11800, Malaysia)

  • Samira Yousefian

    (Urban Planning Department, Tarbiat Modares University, Tehran 14117, Iran)

  • Ayda Zaroujtaghi

    (Department of Geosciences, Texas Tech University, Lubbock, TX 79409, USA)

Abstract

Amidst rapid urbanization, sustainable development requires moving beyond subjective land-use planning techniques toward innovative computational geospatial models. This paper introduces a GIS-based quantitative framework to enable objective, rigorous land-use compatibility analysis. Uniquely, the model evaluates radial impacts and expert-defined criteria across multiple scales, overcoming the limitations of qualitative approaches. Cell-by-cell computation identifies emerging spatial conflicts with enhanced realism. A case study in Qaemshahr, Iran, demonstrated the model’s proficiency in revealing incompatibilities and hotspots, surpassing conventional methodologies. Quantitative analysis provided accurate, transparent insights for evidence-based planning and consistency in evaluation. Ongoing improvements through 3D, real-time data integration and machine learning will further the objectivity. While extensive testing across diverse urban contexts is still needed, this pioneering computational technique marks a transition from subjective to objective methodologies. Situated at the intersection of geographic information science and urban planning, this study serves as a launchpad for advancing robust geospatial models to shape more equitable, resilient urban futures amidst complex sustainability challenges. The development of rigorous computational techniques remains fundamental, and the present innovative model can be used to provide objective, scientifically grounded compatibility analyses to guide land-use planning.

Suggested Citation

  • Omid Mansourihanis & Mohammad Javad Maghsoodi Tilaki & Samira Yousefian & Ayda Zaroujtaghi, 2023. "A Computational Geospatial Approach to Assessing Land-Use Compatibility in Urban Planning," Land, MDPI, vol. 12(11), pages 1-19, November.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:11:p:2083-:d:1283981
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    References listed on IDEAS

    as
    1. Koroso, Nesru H. & Zevenbergen, Jaap A. & Lengoiboni, Monica, 2020. "Urban land use efficiency in Ethiopia: An assessment of urban land use sustainability in Addis Ababa," Land Use Policy, Elsevier, vol. 99(C).
    2. John M. Clapp, 1977. "Urban Land Use Succession Under Risk," Urban Studies, Urban Studies Journal Limited, vol. 14(1), pages 73-77, February.
    3. Pahlavani, Parham & Sheikhian, Hossein & Bigdeli, Behnaz, 2020. "Evaluation of residential land use compatibilities using a density-based IOWA operator and an ANFIS-based model: A case study of Tehran, Iran," Land Use Policy, Elsevier, vol. 90(C).
    4. Shen, Xiaoqiang & Wang, Xiangdong & Zhang, Zhou & Lu, Zhangwei & Lv, Tiangui, 2019. "Evaluating the effectiveness of land use plans in containing urban expansion: An integrated view," Land Use Policy, Elsevier, vol. 80(C), pages 205-213.
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