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Ms. Yutong Xue
Chongqing Univeristy

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0 Engineering Management
0 Green Building
0 Risk Analysis
0 Risk Assessment
0 Social Affairs

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Journal article
Published: 23 July 2020 in International Journal of Environmental Research and Public Health
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Due to their characteristics and multiple objectives, high-speed rail (HSR) projects carry more complex risks than conventional projects and high correlation and conductivity are among the associated risk factors. Previous risk assessment frameworks for rail infrastructure have ignored the effects of risk interactions that inflate risk levels, namely, risk coupling effects. Based on a system dynamics method, this paper develops a risk coupling model for HSR project risk assessments. A risk factor list is established from a literature review, and relationships analysed using a case study and expert interviews. System dynamics equations are constructed and their parameters obtained by expert evaluations of risk factors. The proposed model is applied to a real-world HSR project to demonstrate it in detail. The model can evaluate the risk levels of HSR projects during a simulation period. In particular, it can identify the key coupling effects that are the main increased risk. It provides a significant resource, using which HSR project managers can identify and mitigate risks.

ACS Style

Yutong Xue; Pengcheng Xiang; Fuyuan Jia; Zhaowen Liu. Risk Assessment of High-Speed Rail Projects: A Risk Coupling Model Based on System Dynamics. International Journal of Environmental Research and Public Health 2020, 17, 5307 .

AMA Style

Yutong Xue, Pengcheng Xiang, Fuyuan Jia, Zhaowen Liu. Risk Assessment of High-Speed Rail Projects: A Risk Coupling Model Based on System Dynamics. International Journal of Environmental Research and Public Health. 2020; 17 (15):5307.

Chicago/Turabian Style

Yutong Xue; Pengcheng Xiang; Fuyuan Jia; Zhaowen Liu. 2020. "Risk Assessment of High-Speed Rail Projects: A Risk Coupling Model Based on System Dynamics." International Journal of Environmental Research and Public Health 17, no. 15: 5307.

Journal article
Published: 08 March 2020 in Sustainability
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In China, high-speed rail projects have brought huge social and economic benefits to the affected regions after they are completed. However, the potential externalities of such projects cause competition for the station during the project planning phase, thus triggering social risks. This paper studies the mechanisms responsible for generating the social risk associated with such high-speed rail projects. Employing typical case studies, a social risk list for a given project is established. Based on the risk list, a Bayesian network model is developed and verified through case studies, expert interviews, and expert grading. Using the model’s functions of reverse inference and sensitivity analysis, the key risk factors, sensitive risk factors, and maximum causal chain are identified. Countermeasures are then proposed to mitigate the social risk, such as increasing the transparency of and democratizing the planning process for high-speed rail projects, improving the mechanism by which local governments can express interest in such projects, and enhancing emergency management mechanisms. The findings provide points of reference for social risk management when it comes to planning high-speed rail projects and, more generally, offer significant guidance for socially sustainable decision-making processes for mega projects with massive externalities.

ACS Style

Yutong Xue; Pengcheng Xiang. The Social Risk of High-Speed Rail Projects in China: A Bayesian Network Analysis. Sustainability 2020, 12, 2087 .

AMA Style

Yutong Xue, Pengcheng Xiang. The Social Risk of High-Speed Rail Projects in China: A Bayesian Network Analysis. Sustainability. 2020; 12 (5):2087.

Chicago/Turabian Style

Yutong Xue; Pengcheng Xiang. 2020. "The Social Risk of High-Speed Rail Projects in China: A Bayesian Network Analysis." Sustainability 12, no. 5: 2087.