IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i7p5747-d1107084.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/7/5747/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/7/5747/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Calatayud, Agustina & Mangan, John & Palacin, Roberto, 2017. "Connectivity to international markets: A multi-layered network approach," Journal of Transport Geography, Elsevier, vol. 61(C), pages 61-71.
    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. Lu, Mengyuan & Perez, Edgar Jimenez & Mason, Keith & He, Yin, 2024. "Fractal assessment analysis of China's air-HSR network integration," Journal of Transport Geography, Elsevier, vol. 114(C).
    4. Raimbault, Juste & Le Néchet, Florent, 2021. "Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    5. Warnock-Smith, David & Christidis, Panayotis & Dziedzic, Marcin, 2023. "Measuring disparities in air transport access across Europe: An inequality, vulnerability and dependence approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
    6. Gollin, Douglas & Lagakos, David & Kirchberger, Martina, 2017. "In Search of a Spatial Equilibrium in the Developing World," CEPR Discussion Papers 12114, C.E.P.R. Discussion Papers.
    7. Redondi, Renato & Birolini, Sebastian & Morlotti, Chiara & Paleari, Stefano, 2021. "Connectivity measures and passengers’ behavior: Comparing conventional connectivity models to predict itinerary market shares," Journal of Air Transport Management, Elsevier, vol. 90(C).
    8. Kanuganti, Shalini & Sarkar, Ashoke Kumar & Singh, Ajit Pratap, 2016. "Evaluation of access to health care in rural areas using enhanced two-step floating catchment area (E2SFCA) method," Journal of Transport Geography, Elsevier, vol. 56(C), pages 45-52.
    9. Lenaerts, Bert & Allroggen, Florian & Malina, Robert, 2021. "The economic impact of aviation: A review on the role of market access," Journal of Air Transport Management, Elsevier, vol. 91(C).
    10. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
    11. Chang, Yu-Chun & Lee, Wei-Hao & Hsu, Chia-Jui, 2020. "Identifying competitive position for ten Asian aviation hubs," Transport Policy, Elsevier, vol. 87(C), pages 51-66.
    12. Lissy La Paix & Karst Geurs, 2015. "Scenarios for measuring station-based impedances in a national transport model," ERSA conference papers ersa15p1310, European Regional Science Association.
    13. Li, Siping & Zhou, Yaoming & Kundu, Tanmoy & Zhang, Fangni, 2021. "Impact of entry restriction policies on international air transport connectivity during COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    14. Beatrice Asenso Barnieh & Li Jia & Massimo Menenti & Min Jiang & Jie Zhou & Yelong Zeng & Ali Bennour, 2021. "Modeling the Underlying Drivers of Natural Vegetation Occurrence in West Africa with Binary Logistic Regression Method," Sustainability, MDPI, vol. 13(9), pages 1-37, April.
    15. Güner, Samet & Antunes, Jorge Junio Moreira & Seçkin Codal, Keziban & Wanke, Peter, 2024. "Network centrality driven airport efficiency: A weight-restricted network DEA," Journal of Air Transport Management, Elsevier, vol. 116(C).
    16. Sedigheh Meimandi Parizi & Mohammad Taleai & Ayyoob Sharifi, 2022. "A GIS-Based Multi-Criteria Analysis Framework to Evaluate Urban Physical Resilience against Earthquakes," Sustainability, MDPI, vol. 14(9), pages 1-31, April.
    17. Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere & Voltes-Dorta, Augusto, 2013. "Classifying airports according to their hub dimensions: an application to the US domestic network," Journal of Transport Geography, Elsevier, vol. 33(C), pages 188-195.
    18. Silva, Mafalda C. & Horta, Isabel M. & Leal, Vítor & Oliveira, Vítor, 2017. "A spatially-explicit methodological framework based on neural networks to assess the effect of urban form on energy demand," Applied Energy, Elsevier, vol. 202(C), pages 386-398.
    19. D. Woods & A. Cunningham & C. E. Utazi & M. Bondarenko & L. Shengjie & G. E. Rogers & P. Koper & C. W. Ruktanonchai & E. zu Erbach-Schoenberg & A. J. Tatem & J. Steele & A. Sorichetta, 2022. "Exploring methods for mapping seasonal population changes using mobile phone data," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-17, December.
    20. Xin Li & Yongsheng Qian & Junwei Zeng & Xuting Wei & Xiaoping Guang, 2022. "Measurement of Street Network Structure in Strip Cities: A Case Study of Lanzhou, China," Sustainability, MDPI, vol. 14(5), pages 1-17, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5747-:d:1107084. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.