System Dynamics Approach for Evaluating the Interconnection Performance of Cross-Border Transport Infrastructure
Publication: Journal of Management in Engineering
Volume 38, Issue 3
Abstract
Cross-border transport infrastructure (CTI) has been regarded as critical for boosting and supporting the coordinated development of regions. However, so far, very limited studies have examined the interconnection performance of CTI with particular emphasis on the overall dynamics of the complicated CTI system and how the dynamic interactions of management measures would affect the system performance as a whole. Therefore, this paper takes on a dynamic and holistic view to investigate how the overall interconnection performance of CTI is affected by the dynamic interactions of management measures. First, four broad indicators for measuring CTI interconnection performance, transportation time reliability, transportation easy accessibility, transportation safety, and transportation operating service quality were identified and analyzed. Second, the causal interactions among main variables were analyzed through causal-loop diagrams. Third, a system dynamics (SD) approach was employed to develop a model for quantifying the effects of variables. Finally, the model was verified and applied with data of the Hong Kong–Zhuhai–Macao Bridge; policy analysis was conducted as well. The findings prove that the dynamic interactions among various management measures are critical in evaluating the interconnection performance of CTI. In particular, impacts of certain combination sets of policies would be larger when management measures are collectively considered. The proposed model can be used as a basis for simulating various management measures, so that the optimum policy combinations can be explored in advance to improve the interconnection performance of CTI.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. The types of data that are available include HZMB project data and SD model parameters.
Acknowledgments
The first author was supported by the Guangdong Philosophy and Social Science Program (Grant No. GD20SQ06), the Guangzhou Philosophy and Social Science Program in 2019 (Grant No. 2019GZYB86), and National Social Science Foundation of China (Grant No. 18ZDA043); the second author was supported by the NSFC (Grant No. 71972018) and the Fundamental Research Fund for the Central Universities (Grant No. 2021CDJSKJC02). The authors would like to show their appreciation for the constructive comments provided by the editors and the three reviewers.
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Received: Mar 18, 2021
Accepted: Nov 12, 2021
Published online: Feb 7, 2022
Published in print: May 1, 2022
Discussion open until: Jul 7, 2022
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