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GIS-Based Multi-Objective Urban Land Allocation Approach for Optimal Allocation of Urban Land Uses

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Abstract

Identification of most appropriate land use for a given area is an important and inevitable task for urban planners. Remote Sensing (RS) and Geographic Information System (GIS)-based Multi Criteria Evaluation approaches for land suitability analysis has empowered urban planners with effective decision support tools. However, earlier studies have always treated urban development as a single land use allocation problem, but, in reality, urban land use distribution is a multi-use allocation problem. Each urban land use i.e., residential, industrial, recreational etc. has distinct suitability requirements. GIS-based Multi-Objective Land Allocation (MOLA) approach has been applied in a land pocket of around 1686 ha in Navi Mumbai, India to address the multi-urban land use allocation problem in this study. Various input layers generated from Computer Aided Design software and RS data were integrated using ordered weighted averaging approach to derive suitability for overall urban development and each specific urban land use. Further, suitability layer for each urban land use was integrated using MOLA approach. Comparison of single objective land allocation for urban development with MOLA-based land allocation for various urban land uses are found to be highly suitable and quite near to the allocation proposed by urban planners working in the area. MOLA-based land allocation provided an objective approach for decision making and it is found to be an effective tool for minimizing conflicts between possible land uses.

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Acknowledgements

Authors are grateful to Indian Institute of Remote Sensing, Dehradun (a unit of Indian Space Research Organization) for logistics support. They are also grateful to CIDCO, Navi Mumbai, Maharashtra, India and National Remote Sensing Centre, Hyderabad, India for providing remote sensing and CAD data. Authors wish to thank editor and reviewers for their valuable time and critical suggestions for improvement in manuscript.

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No research grant was availed to carry out this study.

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Authors and Affiliations

  1. Maharashtra State Road Development Corporation, Navi Mumbai, India

    Sarika Bodhankar

  2. Indian Institute of Remote Sensing, 4, Kalidas Road, Dehradun, 248001, India

    Kshama Gupta, Pramod Kumar & S. K. Srivastav

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  1. Sarika Bodhankar
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  2. Kshama Gupta
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  3. Pramod Kumar
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  4. S. K. Srivastav
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All authors whose names appear on the submission has made substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data; or the creation of code used in the work. All authors agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

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Correspondence to Kshama Gupta.

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The work is carried out at Indian Institute of Remote Sensing/ISRO, Dehradun as part of ongoing research. The work reported is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere. All the research articles has been cited appropriately in the manuscript as per the defined style and format.

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Bodhankar, S., Gupta, K., Kumar, P. et al. GIS-Based Multi-Objective Urban Land Allocation Approach for Optimal Allocation of Urban Land Uses. J Indian Soc Remote Sens 50, 763–774 (2022). https://doi.org/10.1007/s12524-022-01492-0

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  • DOI: https://doi.org/10.1007/s12524-022-01492-0

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