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Risk identification and assessment in subway projects: case study of Nanjing Subway Line 2

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  • Patrick Zou
  • Jie Li

Abstract

Underground subways are constructed in major cities across China to overcome the transportation problems in the urbanization process. The aim is to develop a comprehensive risk checklist associated with subway projects and a methodology to assess the risks at the early stage of a project. Based on the analysis of accidents that have happened in previous projects, a review of current literature and the results of interviews, a comprehensive risk checklist was developed, followed by proposing a risk analysis methodology using fuzzy analytical hierarchy process (AHP). Then the Nanjing Subway Line 2 project was analysed using the proposed risk checklist and fuzzy AHP method. The data were obtained through interviews and two rounds of questionnaire surveys with the personnel directly involved in the Nanjing Subway Line 2 project. The results of risk identification and assessment are presented and their managerial implications are discussed. The information presented here should be relevant to both academics and practitioners in the field of subway project management.

Suggested Citation

  • Patrick Zou & Jie Li, 2010. "Risk identification and assessment in subway projects: case study of Nanjing Subway Line 2," Construction Management and Economics, Taylor & Francis Journals, vol. 28(12), pages 1219-1238.
    • Handle: RePEc:taf:conmgt:v:28:y:2010:i:12:p:1219-1238
    DOI: 10.1080/01446193.2010.519781
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    References listed on IDEAS

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    1. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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    Cited by:

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    2. Crispim, José & Fernandes, Jorge & Rego, Nazaré, 2020. "Customized risk assessment in military shipbuilding," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
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    4. Jian Wan & Chia-Liang Lin, 2023. "Research on the Service Quality Index and Alternatives Evaluation and Ranking for Online Yue Kiln Celadon Art Education in Post COVID-19 Era," Mathematics, MDPI, vol. 11(6), pages 1-20, March.
    5. Jelena M. Andrić & Jiayuan Wang & Ruoyu Zhong, 2019. "Identifying the Critical Risks in Railway Projects Based on Fuzzy and Sensitivity Analysis: A Case Study of Belt and Road Projects," Sustainability, MDPI, vol. 11(5), pages 1-18, March.
    6. Lin, Song-Shun & Shen, Shui-Long & Zhou, Annan & Xu, Ye-Shuang, 2021. "Novel model for risk identification during karst excavation," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    7. Xiaoyan Jiang & Kun Lu & Bo Xia & Yong Liu & Caiyun Cui, 2019. "Identifying Significant Risks and Analyzing Risk Relationship for Construction PPP Projects in China Using Integrated FISM-MICMAC Approach," Sustainability, MDPI, vol. 11(19), pages 1-31, September.
    8. Chia-Liang Lin & Ching-Yun Hsu & Chu-Ho Ting, 2024. "Research on the Key Influencing Goals for Visual Design Sustainability: A Dual Perspective," Sustainability, MDPI, vol. 16(5), pages 1-28, February.
    9. Yu-Yu Ma & Jwu-Jenq Chen & Chia-Liang Lin, 2022. "Research on the Priority of Service Quality Index for Online English Teaching during the COVID-19 Pandemic: Dual Perspective," Mathematics, MDPI, vol. 10(19), pages 1-24, October.
    10. Chia-Liang Lin & Jwu-Jenq Chen & Yu-Yu Ma, 2023. "Ranking of Service Quality Solution for Blended Design Teaching Using Fuzzy ANP and TOPSIS in the Post-COVID-19 Era," Mathematics, MDPI, vol. 11(5), pages 1-28, March.

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