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The connectivity of South Asian cities in infrastructure networks

Author

Listed:
  • Ben Derudder
  • Xingjian Liu
  • Charles Kunaka
  • Mark Roberts
Abstract
This map summarizes information on the connectivity of 67 important South Asian cities concerning infrastructure networks. The map combines four information layers to reveal a city's overall stature in the region's infrastructure networks, i.e. rail, road, air, and information technology networks. Three dimensions of connectivity are shown: edge thickness reflecting tie strength between pairs of cities; node size reflecting a city's betweenness centrality; and node color reflecting the dominant geographical orientation of a city's connections. A threshold is used for the edges to ensure the map does not appear clogged. The map shows that major connections tend to be within-country linkages between large cities. There are five communities in South Asia's urban infrastructure networks, which largely follow national borders. Delhi, Mumbai, Lahore, Karachi, Chennai, Colombo and Dhaka are shown to be important nodes for the infrastructural integration of South Asia, as these cities mediate flows between relatively unconnected communities and cities.

Suggested Citation

  • Ben Derudder & Xingjian Liu & Charles Kunaka & Mark Roberts, 2014. "The connectivity of South Asian cities in infrastructure networks," Journal of Maps, Taylor & Francis Journals, vol. 10(1), pages 47-52, January.
    • Handle: RePEc:taf:tjomxx:v:10:y:2014:i:1:p:47-52
    DOI: 10.1080/17445647.2013.858084
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    Citations

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    Cited by:

    1. Zhangfeng Yao & Kunhui Ye & Liang Xiao & Xiaowei Wang, 2021. "Radiation Effect of Urban Agglomeration’s Transportation Network: Evidence from Chengdu–Chongqing Urban Agglomeration, China," Land, MDPI, vol. 10(5), pages 1-21, May.
    2. Swayam Prava Das, 2023. "City connectivity via global intra‐firm linkages: An analysis of Indian cities," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(2), pages 312-330, March.
    3. César Ducruet & Sylvain Cuyala & Ali EL Hosni, 2016. "The changing influence of city-systems on global shipping networks: an empirical analysis," Journal of Shipping and Trade, Springer, vol. 1(1), pages 1-19, December.
    4. Kevin X. Li & Tae-Joon Park & Paul Tae-Woo Lee & Heather McLaughlin & Wenming Shi, 2018. "Container Transport Network for Sustainable Development in South Korea," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    5. Justin Berli & Mattia Bunel & César Ducruet, 2018. "Sea-Land Interdependence in the Global Maritime Network: the Case of Australian Port Cities," Networks and Spatial Economics, Springer, vol. 18(3), pages 447-471, September.
    6. Dai, Liang & Derudder, Ben & Liu, Xingjian, 2018. "Transport network backbone extraction: A comparison of techniques," Journal of Transport Geography, Elsevier, vol. 69(C), pages 271-281.
    7. Ducruet, César, 2017. "Multilayer dynamics of complex spatial networks: The case of global maritime flows (1977–2008)," Journal of Transport Geography, Elsevier, vol. 60(C), pages 47-58.
    8. Zhang, Hui & Cui, Houdun & Wang, Wei & Song, Wenbo, 2020. "Properties of Chinese railway network: Multilayer structures based on timetable data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    9. Marco M Salvini & Sara I Fabrikant, 2016. "Spatialization of user-generated content to uncover the multirelational world city network," Environment and Planning B, , vol. 43(1), pages 228-248, January.

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