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GIS-Based MCA Modeling to Locate Suitable Industrial Sites in Suburb Areas of Bangladesh for Sustainability of Agricultural Lands

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Remote Sensing Application

Part of the book series: New Frontiers in Regional Science: Asian Perspectives ((NFRSASIPER,volume 59))

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Abstract

Land use changes significantly affect the sustainability of food security, ecological balance, and environmental protections in developing countries. Bangladesh is such a country that faces challenges from limited arable land resources, including the urbanization of agricultural lands and urban developments in suburban areas. Therefore, the aim of this chapter was to determine the land use changes over time in suburban areas that have potential for industrial growth. This chapter also assesses potential locations and the further growth of industries by land suitability analysis (LSA) to emphasize both agriculture and industries in terms of sustainable growth. A geographical information system (GIS)-based multi-criteria analysis (MCA) model was developed for the LSA to distinguish compact lands that were suitable for the economic zones of industries. Nine criteria, including seven constraints and 23 factors, are evaluated by the spatial analysis tools of ArcGIS®. An analytical hierarchy process (AHP) was applied to prioritize the criteria based on experts’ opinions for the decision-making process of LSA. The study finds that densely located industrial areas have decreased agricultural lands by greater than 10% in the last two decades. Furthermore, the results of the LSA showed that only 4% of the lands were most suitable for industrial sites, whereas four compact lands had 16–10 ha of land, which was suitable for small industrial zones. Thus, the integrated GIS-MCA model could serve as a policy-planning tool to locate the economic zones of industries with sustaining agricultural lands and environmental protections.

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Acknowledgments

Thanks to Japan Section of the Regional Science Association International to grant the copyright to include this published article (Nazia Muhsin, Ryozo Noguchi, Tofael Ahamed. 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-Pacific Journal of Regional Science, 2, pages 35–64 https://doi.org/10.1007/s41685-017-0046-0. 2018). Some minor modifications have been conducted in this book chapter. Furthermore, 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), and 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. Faculty of Engineering Studies, BGMEA University of Fashion and Technology, Dhaka, Bangladesh

    Nazia Muhsin

  2. Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan

    Ryozo Noguchi & Tofael Ahamed

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  1. Nazia Muhsin
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Correspondence to Tofael Ahamed .

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  1. Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan

    Tofael Ahamed

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Muhsin, N., Noguchi, R., Ahamed, T. (2022). GIS-Based MCA Modeling to Locate Suitable Industrial Sites in Suburb Areas of Bangladesh for Sustainability of Agricultural Lands. In: Ahamed, T. (eds) Remote Sensing Application. New Frontiers in Regional Science: Asian Perspectives, vol 59. Springer, Singapore. https://doi.org/10.1007/978-981-19-0213-0_7

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