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GIS-based multi-criteria analysis modeling used to locate suitable sites for industries in suburban areas in Bangladesh to ensure the sustainability of agricultural lands

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Abstract

Land use changes significantly affect the sustainability of food security, environmental quality and the ecological balance in developing countries. Bangladesh is one such country, and it faces challenges caused by its limited resources of arable land. The urbanization of agricultural lands and urban developments in suburban areas add to these challenges. Therefore, the aim of this study is to characterize the land use changes that occur over time in suburban areas that have potential for industrial growth. This study also assesses potential locations for industrial development by using land suitability analysis (LSA) to emphasize both agricultural and industrial development in terms of sustainable growth. A geographical information system (GIS)-based multi-criteria analysis (MCA) model is developed for the LSA to distinguish compact parcels that are suitable for industrial economic zones. Nine criteria, including seven constraints and 23 factors, are evaluated using the spatial analysis tools in ArcGIS®. An analytical hierarchy process (AHP) is applied to prioritize these criteria based on experts opinion for the decision-making process of LSA. This study finds that the construction of densely clustered industrial areas has decreased the area of agricultural land by more than 10% in the last two decades. Furthermore, the results of the LSA show that only 4% of the land was highly suitable for industrial sites. On the other hand, four compact parcels that contain 16–10 ha of land and suitable for small industrial zones exist within the study area. Thus, the integrated GIS-MCA model can serve as a policy and planning tool for locating industrial economic zones while preserving agricultural lands and retaining environmental protections.

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Acknowledgements

We would like to thank the University of Tsukuba to support this research to develop the multi-criteria modeling for land suitability analysis in Bangladesh. We also express our sincere thanks to the Local Government and Engineering Division (LGED), Detailed Area Plan (DAP) RAJUK, Department of Agriculture (Savar), Institute of Water Modeling (IWM), Bangladesh Garment Manufacturing and Exporters Associations (BGMEA) for their cordial cooperation during field work and survey. We also express our gratitude to MEXT-Super Global Program for providing scholarship to carry out research and education in Japan.

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Authors and Affiliations

  1. Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8572, Japan

    Nazia Muhsin

  2. Faculty of Life and Environmental Science, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8572, Japan

    Tofael Ahamed & Ryozo Noguchi

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  1. Nazia Muhsin
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  2. Tofael Ahamed
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  3. Ryozo Noguchi
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Correspondence to Tofael Ahamed.

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Muhsin, N., Ahamed, T. & Noguchi, R. GIS-based multi-criteria analysis modeling used to locate suitable sites for industries in suburban areas in Bangladesh to ensure the sustainability of agricultural lands. Asia-Pac J Reg Sci 2, 35–64 (2018). https://doi.org/10.1007/s41685-017-0046-0

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  • DOI: https://doi.org/10.1007/s41685-017-0046-0

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