01662701

Component

With the rapid development of urbanization in China, natural disasters, especially the earthquake, caused severe problems. The road network is one of the major urban lifelines, and the post-earthquake resiliency of road network is crucial for the rapid and reliable rescue work. This study aims to optimize risk mitigation investment strategies for improving post-earthquake road network resilience. First, the predictive model of debris obstruction of collapsed buildings was used to calculate the link connectivity probability. Second, Monte Carlo simulation method was used to calculate the post-earthquake road network accessibility based on the results of link connectivity reliability. Third, the authors proposed an optimal risk mitigation investment model to maximize the post-earthquake network accessibility with different government budgets. A case study in Shanghai historical area was conducted by the proposed method. The results might help the local government for better decision-makings against earthquakes.

This paper was sponsored by TRB committee ABR10 Standing Committee on Critical Transportation Infrastructure Protection.

18-05813

English

0000-0003-3439-7539

6p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

References; Tables

Case studies; Disaster resilience; Earthquakes; Investments; Monte Carlo method; Networks; Optimization; Risk management; Roads

China

Finance; Highways; Planning and Forecasting; Security and Emergencies

Transportation Research Board Annual Meeting 2018 Paper #18-05813

TRIS, TRB, ATRI

Jan 8 2018 11:30AM