TY - JOUR
T1 - Modeling Interaction of Emergency Inspection Routing and Restoration Scheduling for Postdisaster Resilience of Highway-Bridge Networks
AU - Zhang, Zhenyu
AU - Wei, Hsi Hsien
N1 - Funding Information:
The authors gratefully acknowledge the support for this research by the Hong Kong Research Grants Council (HKRGC) under Grant No. 25223119. Any opinions, findings, conclusions, and recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the HKRGC. The authors would also like to thank Prof. Elise Miller-Hooks of George Mason University for her advice on the research.
Publisher Copyright:
© 2020 American Society of Civil Engineers.
PY - 2021/3/1
Y1 - 2021/3/1
N2 - Postdisaster emergency restoration of damaged highway-bridge networks are crucial to those providing timely emergency assistance to disaster-damaged areas. Ideally, inspection routing and restoration scheduling should complement each other, such that multiple inspection and restoration crews can operate simultaneously and optimally in the immediate aftermath of disaster events. Therefore, it is necessary to understand the interaction between inspection and restoration in postdisaster emergency restoration processes of highway-bridge networks, as well as their impacts on the inspection routing, restoration scheduling, and overall process. This paper proposes an integer program for modeling such inspection-routing and restoration-scheduling problems, accounting for the inspection-restoration interactions, for determining the optimal inspection routes and restoration schedules for damaged highway-bridge networks, with the specific aim of maximizing the networks' travel time as their resilience metric. A hybrid genetic algorithm coupled with an early termination test is also developed to improve the proposed integer program's computational efficiency. The results of a case study using the proposed method and data from China's 2008 Wenchuan earthquake show that, as compared to a traditional sequential inspection-restoration model, simultaneously and optimally performing inspection and restoration can significantly improve highway-bridge-network resilience.
AB - Postdisaster emergency restoration of damaged highway-bridge networks are crucial to those providing timely emergency assistance to disaster-damaged areas. Ideally, inspection routing and restoration scheduling should complement each other, such that multiple inspection and restoration crews can operate simultaneously and optimally in the immediate aftermath of disaster events. Therefore, it is necessary to understand the interaction between inspection and restoration in postdisaster emergency restoration processes of highway-bridge networks, as well as their impacts on the inspection routing, restoration scheduling, and overall process. This paper proposes an integer program for modeling such inspection-routing and restoration-scheduling problems, accounting for the inspection-restoration interactions, for determining the optimal inspection routes and restoration schedules for damaged highway-bridge networks, with the specific aim of maximizing the networks' travel time as their resilience metric. A hybrid genetic algorithm coupled with an early termination test is also developed to improve the proposed integer program's computational efficiency. The results of a case study using the proposed method and data from China's 2008 Wenchuan earthquake show that, as compared to a traditional sequential inspection-restoration model, simultaneously and optimally performing inspection and restoration can significantly improve highway-bridge-network resilience.
KW - Disaster emergency recovery
KW - Seismic risk
KW - Transportation network resilience
KW - Transportation restoration scheduling
UR - http://www.scopus.com/inward/record.url?scp=85096517105&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)IS.1943-555X.0000592
DO - 10.1061/(ASCE)IS.1943-555X.0000592
M3 - Journal article
AN - SCOPUS:85096517105
SN - 1076-0342
VL - 27
JO - Journal of Infrastructure Systems
JF - Journal of Infrastructure Systems
IS - 1
M1 - 04020046
ER -