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Investigation of Road Network Connectivity and Accessibility in Less Accessible Airport Regions: The Case of India

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  • Shalvi Sharma

    (Transport Planning Department, School of Planning and Architecture, New Delhi 110002, India)

  • Sewa Ram

    (Transport Planning Department, School of Planning and Architecture, New Delhi 110002, India)

Abstract

One of the keys to the transformation of a region is the expansion of transportation networks. Airports will continue to develop as significant growth centres. The literature review in this article suggests various concepts of importance for connectivity while stating the significance of airport corridors as emerging economic corridors. The objective of this article is to calculate the landside connectivity for road networks for different tiers of airports in their influence areas, as well as to identify the regions that are most and least accessible in the Indian context. This study analysed geographical aspects based on graph theory and the connectivity indices of road networks. The airports were ranked based on these connectivity indices, resulting in the selected case of Bagdogra Airport, West Bengal being used for accessibility analysis. This study also includes centrality indices to determine accessibility in the airport region based on QGIS tools. The centrality indices increase with distance from the airport, indicating the impact of airport connectivity in the identified influence area. The results show critical nodes and links, indicating the necessity for comprehensive planning for new airport regions for greater accessibility and for stimulating development.

Suggested Citation

  • Shalvi Sharma & Sewa Ram, 2023. "Investigation of Road Network Connectivity and Accessibility in Less Accessible Airport Regions: The Case of India," Sustainability, MDPI, vol. 15(7), pages 1-15, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5747-:d:1107084
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    References listed on IDEAS

    as
    1. Guillaume Burghouwt & Renato Redondi, 2013. "Connectivity in Air Transport Networks: An Assessment of Models and Applications," Journal of Transport Economics and Policy, University of Bath, vol. 47(1), pages 35-53, January.
    2. Chen, Shaopei & Claramunt, Christophe & Ray, Cyril, 2014. "A spatio-temporal modelling approach for the study of the connectivity and accessibility of the Guangzhou metropolitan network," Journal of Transport Geography, Elsevier, vol. 36(C), pages 12-23.
    3. Catherine Linard & Marius Gilbert & Robert W Snow & Abdisalan M Noor & Andrew J Tatem, 2012. "Population Distribution, Settlement Patterns and Accessibility across Africa in 2010," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-8, February.
    4. William L. Garrison, 1960. "Connectivity Of The Interstate Highway System," Papers in Regional Science, Wiley Blackwell, vol. 6(1), pages 121-137, January.
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    Cited by:

    1. Karolina Dudzic-Gyurkovich, 2023. "Study of Centrality Measures in the Network of Green Spaces in the City of Krakow," Sustainability, MDPI, vol. 15(18), pages 1-30, September.
    2. Jun Zhao & Wenyu Rong & Di Liu, 2023. "Urban Agglomeration High-Speed Railway Backbone Network Planning: A Case Study of Beijing-Tianjin-Hebei Region, China," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    3. Jiayu Ding & Yuewei Wang & Chaoyue Li, 2024. "A Dual-Layer Complex Network-Based Quantitative Flood Vulnerability Assessment Method of Transportation Systems," Land, MDPI, vol. 13(6), pages 1-27, May.

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