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A Coupling Model for Measuring the Substitution of Subways for Buses during Snowstorms: A Case Study of Shenyang, China

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  • Shaolei Wu

    (School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China)

  • Jianing Wu

    (Aulin College, Northeast Forestry University, Harbin 150040, China)

  • Di Lu

    (Investment and Financing Consulting Business Department, China International Engineering Consulting Corporation, Beijing 100048, China)

  • Hossein Azadi

    (Department of Economics and Rural Development, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium)

  • Jie Liu

    (School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China)

Abstract

The development of integrated public transportation networks has received widespread attention in recent years. Especially in global northern cities, improving the substitution of subways for buses could meet population travel demand during snowstorms, which minimizes the impact of snowstorms on the public transportation network. Furthermore, the development of rail transit is conducive to the intensive and efficient use of land resources. Therefore, in this study, we selected a northern Chinese city, Shenyang, as a case study. For obtaining the population travel demand, we collected the actual population flow data in the morning and evening peaks during snowstorms. The network analysis was used to identify the loopholes and key stations in the subway and bus networks, respectively. A coupling model was built to measure the coupling value of each station in the subway and bus networks, according to its population travel demand and supply capacity, which was further used to measure the substitution of subways for buses in the morning and evening peaks during snowstorms. The results indicate that some subway stations were in a coupling state, while their surrounding bus stations were in a decoupling state. These subway stations could replace the bus stations to reduce the impact and damage of snowstorms on public transportation network. However, some subway stations and the surrounding bus stations were all in a decoupling state, which were under great pressure to meet the population commuting demand during snowstorms. This study can provide insight into optimizing public transportation network planning and design in many northern regions and help to coordinate land and transportation utilization.

Suggested Citation

  • Shaolei Wu & Jianing Wu & Di Lu & Hossein Azadi & Jie Liu, 2024. "A Coupling Model for Measuring the Substitution of Subways for Buses during Snowstorms: A Case Study of Shenyang, China," Sustainability, MDPI, vol. 16(4), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1486-:d:1336519
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    References listed on IDEAS

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    1. Raktim Mitra, 2013. "Independent Mobility and Mode Choice for School Transportation: A Review and Framework for Future Research," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 21-43, January.
    2. Peter Knoppers & Theo Muller, 1995. "Optimized Transfer Opportunities in Public Transport," Transportation Science, INFORMS, vol. 29(1), pages 101-105, February.
    3. Quan Mao & Nan Li, 2018. "Assessment of the impact of interdependencies on the resilience of networked critical infrastructure systems," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(1), pages 315-337, August.
    4. Weiping Wang & Saini Yang & H. Eugene Stanley & Jianxi Gao, 2019. "Local floods induce large-scale abrupt failures of road networks," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    5. Tang, Zi, 2015. "An integrated approach to evaluating the coupling coordination between tourism and the environment," Tourism Management, Elsevier, vol. 46(C), pages 11-19.
    6. Carmen Zornoza-Gallego, 2022. "Means of Transport and Population Distribution in Metropolitan Areas: An Evolutionary Analysis of the Valencia Metropolitan Area," Land, MDPI, vol. 11(5), pages 1-18, April.
    7. Camagni, Roberto & Gibelli, Maria Cristina & Rigamonti, Paolo, 2002. "Urban mobility and urban form: the social and environmental costs of different patterns of urban expansion," Ecological Economics, Elsevier, vol. 40(2), pages 199-216, February.
    8. Fearnley, Nils & Currie, Graham & Flügel, Stefan & Gregersen, Fredrik A. & Killi, Marit & Toner, Jeremy & Wardman, Mark, 2018. "Competition and substitution between public transport modes," Research in Transportation Economics, Elsevier, vol. 69(C), pages 51-58.
    9. Cervero, Robert B., 2013. "Linking urban transport and land use in developing countries," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 7-24.
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