Sustainability Measurement of Transportation Systems in China: A System-Based Bayesian Network Approach

Sustainability has been a challenging issue in the transportation industry, which necessitates obtaining better measurement of transport sustainability performance. To appropriately measure performance, this paper presents hybrid approach based on hierarchical Bayesian network model (BNM) and Principal Component Analysis (PCA). The proposed BNM encompasses social, economic, environmental, technological dimensions, where each dimension consists various subdivisions. Conditional Probability Table is determined by PCA. Twenty-three sustainable indicators involved different stages traffic management are used to kick off calculation probability propagation. results show that overall selected cities generally at medium level, indicating there much room for further improvement. sustainability-economic coupling analysis exhibits nonlinear relationship between economic revealing growth does not necessarily lead enhancement sustainability. Additionally, sensitivity reveals “Accessibility,” “Serviceability,” “Reliability,” “Innovation” demonstrate an upward trend, their great effect Last, policy implications study can only offer solution current needs systems but also serve as more transparent decision-making develop system future.