Resilience Influencing Factors of the Complex Urban Public Spaces Based on ISM and AHP

Hui Xu (), Jingchuan Yue, Maokang Du (), Yongtao Tan and Yan Wang
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Hui Xu: Chongqing University of Posts and Telecommunications
Jingchuan Yue: Chongqing University of Posts and Telecommunications
Maokang Du: Chongqing University of Posts and Telecommunications
Yongtao Tan: RMIT University
Yan Wang: Chongqing University of Posts and Telecommunications

A chapter in Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 55-69 from Springer

Abstract: Abstract As a major kind of infrastructure in urban area, complex urban public spaces, such as complex rail transit station, multi-layer railway station, etc., are characterized by the complex system characteristics of openness, multi-floor structure, complex facility connections, and crowd people. The complex urban public spaces are threatened by various kinds of risks, such as fire and terrorist attack, due to the complex system characteristics. “Resilience” has been adopted in this study to demonstrate the ability that absorbing risk event disturbance, self-organization, learning and adaptation of complex urban public spaces. The system resilience is influenced by various kinds of factors, which deserves deep research. In response, this study conducted the evaluation for resilience influencing factors of the complex urban public spaces. Based on field investigation, literature review, and expert interview, the resilience influence factor system of the complex urban public space was established. A combined approach, Interpretative Structure Model (ISM) and Analytic Hierarchy Process (AHP), was adopted to study the layer classification of the factor system and calculate the weights. Through the combined approach, the research results were obtained and the fundamental factor is “geographical location”, while the important factors are “economic development”, “physical structure”, “crowd density cluster”, and “government governance”. The obtained results could supply references for formulating strategies to improve resilience of complex urban public spaces, and it is also conductive to promote the safe operation of urban infrastructures.

Keywords: Resilience; Complex urban public space; Interpretative structural modeling; Analytic hierarchy process; Factors evaluation (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8892-1_5

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DOI: 10.1007/978-981-15-8892-1_5

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