Static and dynamic resilience assessment for sustainable urban transportation systems: A case study of Xi 'an, China

Abstract

Resilient transportation provides a new perspective for constructing sustainable cities. Although current studies have analyzed transportation resilience from different perspectives, accurately assessing the resilience of urban transport systems remains a significant challenge. This paper proposes a framework to evaluate the static and dynamic resilience of urban transportation systems. Based on systemic thinking and sustainability perspectives, we establish a Bayesian network model that comprehensively considers social, economic, organizational, and technological dimensions to assess the static resilience of urban transportation systems. We adopt percolation theory to determine the minimum required performance (MRP) of road network and explore the spatial distribution of dynamic resilience based on traffic performance under traffic congestion. Results show that the transportation resilience of Xi'an showed a continuous growth trend between 2010 and 2020, from 0.37 to 0.64. In addition, the primary task of enhancing resilience is to improve the system's restorative capacity, adaptive capacity, and resourcefulness. The MRP of the road network is 0.37. The areas with larger resilience loss and percolation time are concentrated along the Second and Third Ring Expressway and in the south and southwest areas. The resilience of the urban center area is more potent. The time of the response process is twice that of the recovery process. The above results could help managers and decision-makers have a comprehensive and clear understanding of the transportation resilience and have practical significance for constructing a sustainable urban transportation system.