Risk Assessment in Urban Large-Scale Public Spaces Using Dempster-Shafer Theory: An Empirical Study in Ningbo, China

• Main Authors: Jibiao Zhou, Xinhua Mao, Yiting Wang, Minjie Zhang, Sheng Dong
• Format: Article
• Language: English
• Published: MDPI AG 2019-08-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: traffic safety; risk assessment; Dempster-Shafer theory; normal cloud model; index system; large-scale public spaces
• Online Access: https://www.mdpi.com/1660-4601/16/16/2942

Urban Large-scale Public Spaces (ULPS) are important areas of urban culture and economic development, which are also places of the potential safety hazard. ULPS safety assessment has played a crucial role in the theory and practice of urban sustainable development. The primary objective of this study is to explore the interaction between ULPS safety risk and its influencing factors. In the first stage, an index sensitivity analysis method was applied to calculate and identify the safety risk assessment index system. Next, a Delphi method and information entropy method were also applied to collect and calculate the weight of risk assessment indicators. In the second stage, a Dempster-Shafer Theory (DST) method with evidence fusion technique was utilized to analyze the interaction between the ULPS safety risk level and the multiple-index variables, measured by four observed performance indicators, i.e., environmental factor, human factor, equipment factor, and management factor. Finally, an empirical study of DST approach for ULPS safety performance analysis was presented.