Evaluating the role of transportation system in community seismic resilience

Abstract

The swift recuperation of communities following natural hazards heavily relies on the efficiency of transportation systems, facilitating the timely delivery of vital resources and manpower to reconstruction sites. This paper delves into the pivotal role of transportation systems in aiding the recovery of built environments, proposing an evaluative metric that correlates transportation capacity with the speed of post-earthquake recovery. Focusing on optimizing urban population capacity in the aftermath of earthquakes, the study comprehensively examines the impact of pre-earthquake measures such as enhancing building or bridge seismic performance on post-earthquake urban population capacity. The methodology is demonstrated through an analysis of Beijing’s transportation system, elucidating how enhancements to transportation infrastructure fortify the resilience of built environments. Additionally, the concept of a resource supply rate is introduced to gauge the level of logistical support available after an earthquake. This rate tends to decrease when transportation damage is significant or when the demands for repairs overwhelm available resources, indicating a need for retrofitting. Through sensitivity analysis, this study explores how investments in the built environment or logistical systems can increase the resource supply rate, thereby contributing to more resilient urban areas in the face of seismic challenges.

Keywords

Community resilience / Transportation system / Earthquake / Retrofit Strategy

Relavance to resilience

Our study develops a post-earthquake recovery resources allocation framework and introduces a metric - supply rate - linking transportation capacity to post-earthquake recovery speed, providing a tool for assessing urban resilience. It examines how pre-earthquake measures, like improving building or bridge seismic performance, affect post-earthquake urban population capacity, offering insights into strategies for enhancing built environment resilience. The methodology is applied to Beijing’s transportation system, demonstrating how infrastructure improvements can strengthen resilience. The practical application highlights the framework’s potential for guiding urban planning and disaster management decisions. Our study emphasizes the importance of retrofitting and strategic investments in built environments and logistical systems to improve urban resilience.

Data and Code Statement

The Matlab code for the numerical framework discussed in this paper is accessible at GitHub (https://github.com/kelvinfkr/Beijing_resilience_logistics), featuring the implementations for network flow analysis and a ranking system for repair sequence prioritization. Additionally, data on network topology and bridge damage states are also available, providing essential resources to help readers compile and fully understand the algorithm.

CRediT authorship contribution statement

Kairui Feng: Writing - review & editing, Writing - original draft, Visualization, Validation, Software, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Cao Wang: Writing - review & editing, Writing - original draft, Visualization, Methodology, Formal analysis, Data curation. Quanwang Li: Writing - review & editing, Writing - original draft, Visualization, Supervision, Investigation, Formal analysis, Conceptualization.

Declaration of competing interest

We declare no conflicts of interest.

Acknowledgement

Kairui Feng was partially supported by National Natural Science Foundation of China (Grant No. 62088101). Cao Wang was supported by the Australian Government through the Australian Research Council’s Discovery Early Career Researcher Award (DE240100207). These supports are gratefully acknowledged.

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