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Planning for Railway Station Network Sustainability Based on Node–Place Analysis of Local Stations

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  • Joon-Seok Kim

    (College of Business Administration, Sejong University, Seoul 05006, Korea)

  • Nina Shin

    (College of Business Administration, Sejong University, Seoul 05006, Korea)

Abstract

We principally focus on evaluating the local and entire network performance of railway stations for sustainable logistics management in South Korea. Specifically, we aim to address the issue of dealing with vulnerability in logistics dependent on the degree of connectivity. To resolve this issue, we investigate (i) the current level of local railway station sustainability performance from the perspectives of the value of the station (node) and the geographical location (place), and (ii) how railway station network management can prepare for imminent internal and external risks. Integrating node–place analysis and social network analysis approaches, we demonstrate a means of assessing (i) local railway station performance by comparing how one station’s value differs from that of other stations, and (ii) overall railway network performance by measuring the degree of connectivity based on the centrality characteristics. Consequently, we recommend improvement in planning orders considering the degree of local performance and network vulnerability for railway station network sustainability.

Suggested Citation

  • Joon-Seok Kim & Nina Shin, 2021. "Planning for Railway Station Network Sustainability Based on Node–Place Analysis of Local Stations," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4778-:d:542654
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    References listed on IDEAS

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    1. Peijun Zhuang & Xiaoning Li & Jianfu Wu, 2023. "The Spatial Value and Efficiency of Inland Ports with Different Development Models: A Case Study in China," Sustainability, MDPI, vol. 15(17), pages 1-17, August.

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