Research on the Construction of a Risk Assessment Indicator System for Transportation Infrastructure Investment under Public–Private Partnership Model
Author(s): |
Xiangjian Weng
Chunhui Yuan Xiaolong Li Hui Li |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 19 June 2024, n. 6, v. 14 |
Page(s): | 1679 |
DOI: | 10.3390/buildings14061679 |
Abstract: |
This paper is dedicated to developing a risk assessment indicator system applicable to transportation infrastructure investment projects in the public–private partnership (PPP) model. Initially, through practical research, literature reviews, and expert interviews, key risk factors for transportation infrastructure investment projects in the PPP mode were identified. Based on these risk factors, a preliminary risk assessment indicator system was established. Subsequently, the principal component analysis (PCA) was used to reduce the dimensions of the indicators, simplify the structure of the system, and highlight key risk factors. Simultaneously, the CRITIC-EWM method was applied to calculate the weights of the indicators. Furthermore, to validate the effectiveness of the indicator system, a questionnaire survey was conducted, collecting 314 responses. Structural equation modeling was applied to validate the effectiveness of the indicator system and examine its application value in practical risk management processes. The primary contribution of this study lies in proposing a method for constructing a risk assessment indicator system that combines quantitative and qualitative analyses, providing new theoretical and practical guidance for risk management of transportation infrastructure investment projects under the PPP mode. |
Copyright: | © 2024 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10787715 - Published on:
20/06/2024 - Last updated on:
20/06/2024