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Detection of peri-urban dynamicity in India: evidence from Durgapur municipal corporation

Author

Listed:
  • Subrata Haldar

    (Sidho-Kanho-Birsha University)

  • Somnath Mandal

    (Sidho-Kanho-Birsha University)

  • Subhasis Bhattacharya

    (Department of Economics, Sidho-Kanho-Birsha University)

  • Suman Paul

    (Department of Economics, Sidho-Kanho-Birsha University)

Abstract

According to the United Nations Educational, Social and Cultural Organization (UNESCO), a peri-urban area is the territory where the urban boundary and the rural environment meet. This region developed as a result of rapid population growth and migration. Therefore, issues such as haphazard development, uncontrolled growth, unplanned land use changes, population pressures, low-income opportunities, unequal distribution of basic infrastructure, inadequate infrastructure, land issues, lack of government law and order, disruption of agricultural work, and so forth are present in this region. The objective of this study was to define the peri-urban zone using a scientific method, and then examine Durgapur Municipal Corporation (DMC) and the surrounding area between 1991 and 2011. To achieve the aforementioned goals, four models; a Weightage Overlay Analysis-Based Model, an Infrastructure and Transport Communication Data-Based Model, a Night Time Light Data-Based Model and a Census Data-Based Model were used. The best model for peri-urban demarcation was selected using a receiver operating characteristic (ROC) curve. The majority of the inner and outer peri-urban regions were located around DMC as well as in the transitional area between the Raniganj Municipality and DMC. The percentage of peri-urban dwellings has increased over time. From 1991 to 2001 and 2011, the percentage share of peri-urban units climbed from 52.75 to 59.41% and 75.74%, respectively. The percentage of stative peri-urban units was 35.29 and 34.43% in the inner and outer peri-urban areas, respectively, while the percentage of moderately dynamic peri-urban units was 64.70% and 65.75%. The growth rate was 1.5% from 1991 to 2001, and 3.3% from 2001 to 2011. The Asansol-Durgapur Development Authority (ADDA) or local governments need to adopt a suitable strategy and put necessary measures into effect to guarantee that changes proceed smoothly and with adequate preparedness.

Suggested Citation

  • Subrata Haldar & Somnath Mandal & Subhasis Bhattacharya & Suman Paul, 2023. "Detection of peri-urban dynamicity in India: evidence from Durgapur municipal corporation," Asia-Pacific Journal of Regional Science, Springer, vol. 7(4), pages 1223-1259, December.
  • Handle: RePEc:spr:apjors:v:7:y:2023:i:4:d:10.1007_s41685-023-00313-7
    DOI: 10.1007/s41685-023-00313-7
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    References listed on IDEAS

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    1. Charlotta Mellander & José Lobo & Kevin Stolarick & Zara Matheson, 2015. "Night-Time Light Data: A Good Proxy Measure for Economic Activity?," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-18, October.
    2. Enrico Gottero & Federica Larcher & Claudia Cassatella, 2023. "Defining and Regulating Peri-Urban Areas through a Landscape Planning Approach: The Case Study of Turin Metropolitan Area (Italy)," Land, MDPI, vol. 12(1), pages 1-16, January.
    3. Heike Mayer & Antoine Habersetzer & Rahel Meili, 2016. "Rural–Urban Linkages and Sustainable Regional Development: The Role of Entrepreneurs in Linking Peripheries and Centers," Sustainability, MDPI, vol. 8(8), pages 1-13, August.
    4. Zijing Wu & Zhijian Li & Hui Zeng, 2020. "Using Remote Sensing Data to Study the Coupling Relationship between Urbanization and Eco-Environment Change: A Case Study in the Guangdong-Hong Kong-Macao Greater Bay Area," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    5. Hanna Karg & Rafael Hologa & Johannes Schlesinger & Axel Drescher & Gordana Kranjac-Berisavljevic & Rüdiger Glaser, 2019. "Classifying and Mapping Periurban Areas of Rapidly Growing Medium-Sized Sub-Saharan African Cities: A Multi-Method Approach Applied to Tamale, Ghana," Land, MDPI, vol. 8(3), pages 1-22, February.
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