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Using an AHP-ISM Based Method to Study the Vulnerability Factors of Urban Rail Transit System

Author

Listed:
  • Liangliang Song

    (School of Civil Engineering, Southeast University, Nanjing 210096, China)

  • Qiming Li

    (School of Civil Engineering, Southeast University, Nanjing 210096, China)

  • George F. List

    (Department of Civil, Construction, & Environmental Engineering, North Carolina State University, Raleigh, NC 27695, USA)

  • Yongliang Deng

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Ping Lu

    (School of Civil Engineering, Southeast University, Nanjing 210096, China
    School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China)

Abstract

As a sustainable means of public transportation, urban rail transit system undergoes rapid expansion in China. How to provide a safe and reliable service has been the subject of growing attention in this context. However, such work is challenging because rail transit systems are quite vulnerable and influenced by a set of interacting factors. Studying these vulnerability factors will contribute significantly to the operation of rail transit system. From this perspective, this paper made an exploration of the vulnerability factors based on an integrated method consisting of AHP (Analytical Hierarchy Process) and ISM (Interpretative Structural Modeling). Based on literature review, 21 vulnerability factors were identified. Subsequently, expert elicitation was employed to ascertain the importance of each factor and the interrelations among them. The results suggest that management and individual factors have the highest importance weights and the interrelations among vulnerability factors could be expressed as a five-layer structure, in which management factors were inclined to be at the lower level. The research provides valuable information for decision makers to take proactive strategies and reinforcement policies to guarantee safety operation of urban rail transit system and ensure urban public safety, which could promote the sustainable development of cities.

Suggested Citation

  • Liangliang Song & Qiming Li & George F. List & Yongliang Deng & Ping Lu, 2017. "Using an AHP-ISM Based Method to Study the Vulnerability Factors of Urban Rail Transit System," Sustainability, MDPI, vol. 9(6), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:6:p:1065-:d:102041
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Hui Xu & Liudan Jiao & Shulin Chen & Milan Deng & Ningxin Shen, 2018. "An Innovative Approach to Determining High-Risk Nodes in a Complex Urban Rail Transit Station: A Perspective of Promoting Urban Sustainability," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    2. Hongli Zhao & Ning Zhang & Yu Guan, 2018. "Safety Assessment Model for Dangerous Goods Transport by Air Carrier," Sustainability, MDPI, vol. 10(5), pages 1-16, April.
    3. Xiaohong Jiang & Huiying Wang & Xiucheng Guo & Xiaolin Gong, 2019. "Using the FAHP, ISM, and MICMAC Approaches to Study the Sustainability Influencing Factors of the Last Mile Delivery of Rural E-Commerce Logistics," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    4. Danish Farooq & Sarbast Moslem & Szabolcs Duleba, 2019. "Evaluation of Driver Behavior Criteria for Evolution of Sustainable Traffic Safety," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    5. Ping Liu & Qiming Li & Jing Bian & Liangliang Song & Xiaer Xiahou, 2018. "Using Interpretative Structural Modeling to Identify Critical Success Factors for Safety Management in Subway Construction: A China Study," IJERPH, MDPI, vol. 15(7), pages 1-18, June.
    6. Manideep Yenugula & Shankha Shubhra Goswami & Subramaniam Kaliappan & Rengaraj Saravanakumar & Areej Alasiry & Mehrez Marzougui & Abdulaziz AlMohimeed & Ahmed Elaraby, 2023. "Analyzing the Critical Parameters for Implementing Sustainable AI Cloud System in an IT Industry Using AHP-ISM-MICMAC Integrated Hybrid MCDM Model," Mathematics, MDPI, vol. 11(15), pages 1-35, August.
    7. Vladimir Simić & Radovan Soušek & Stefan Jovčić, 2020. "Picture Fuzzy MCDM Approach for Risk Assessment of Railway Infrastructure," Mathematics, MDPI, vol. 8(12), pages 1-29, December.
    8. Hong, Wei-Ting & Clifton, Geoffrey & Nelson, John D., 2022. "Rail transport system vulnerability analysis and policy implementation: Past progress and future directions," Transport Policy, Elsevier, vol. 128(C), pages 299-308.
    9. Bouraima, Mouhamed Bayane & Qiu, Yanjun & Stević, Željko & Simić, Vladimir, 2023. "Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).

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