Abstract
Internal out-migration from rural–urban in same upazila, district and capital is increasing especially in disaster and social vulnerable northern part of Bangladesh, resulting in dependency on adjacent upazilas for basic needs’ fulfillment. So, this study focuses on to delineate functional regions based on influence areas from highly migrated zone and to identify impact of different service facilities on highly migrated zone in Bangladesh. Hence, 24 upazilas of Kurigram, Rangpur and Gaibandha districts from high internal out migrated zone were selected and population data from these upazilas were collected from Bangladesh Bureau of statistics (BBS). Reilly’s Law of Retail Gravitation was then applied to determine their influence area based on their population. Furthermore, facilities related to economic and climatic parameters like relief related NGO facilities, basic and non-basic facilities, micro-credit institutions and shelter camps were selected and data were collected to assess the impact on influence areas and high migration rate. Results from influence area delineation shows regional gap between the adjacent upazilas. Results also reveal that Taraganj, Chilmari and Sadullapur have less influence areas and high unserved areas due to limited quantities of relief facilities, basic and non-basic facilities, micro-credit institutions and shelter-camps. Furthermore, frequent flash-flooding and riverbank erosion are also found as major causes in creating unserved areas in northern part of Bangladesh that ultimately cause internal out migration. The study can help in policy making through identifying scope for extension of different facilities’ activities that can ultimately work as pull factor for internal out migration in Bangladesh.
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(Source: BBS, 2014)
(Source: BBS, 2003)
(Source: BBS, 2003; BBS, 2015a)
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
The authors would like to show gratitude to God for His blessing towards us to fulfill the research. The authors would also like to express sincere thanks to Bangladesh Bureau of Statistics (BBS) for providing necessary data to conduct the research.
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Conceptualization: [BG]; Methodology: [BG]; Formal analysis and investigation: [BG], [Md. AAM]; Writing—original draft preparation: [BG], [Md. AAM]; Writing—review and editing: [BG], [AD], [DS]; Supervision: [AD], [DS].
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Guha, B., Alif-Al-Maruf, M., Das, A. et al. Assessing the internal out-migration on basis of influence area: a case study of Kurigram, Rangpur and Gaibandha districts, Bangladesh. GeoJournal 88, 5511–5536 (2023). https://doi.org/10.1007/s10708-023-10933-3
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DOI: https://doi.org/10.1007/s10708-023-10933-3