Resilience-based estimation of the disaster waste disposal time considering interdependencies between waste disposal and road network systems under seismic and tsunami hazards in coastal communities

Koki Aoki, Mitsuyoshi Akiyama, Abdul Kadir Alhamid, Dan M. Frangopol and Shunichi Koshimura

Reliability Engineering and System Safety, 2025, vol. 262, issue C

Abstract: Tsunamigenic earthquakes have triggered damage to structures and infrastructure systems due to both ground motion and subsequent tsunamis, resulting in a huge amount of disaster waste. Since the disaster waste must be processed and transported through both the waste disposal system (WDS) and the road network system (RNS), the functionality loss of the two systems subjected to spatially correlated ground motion and tsunamis hinders the disaster waste removal. Therefore, disaster waste management must be developed by considering the effects of the cascading hazards on not only the capacity of processing facilities, but also the time required to transport disaster waste to the processing facilities (i.e., the interdependency between WDS and RNS). This paper presents a framework for estimating the disaster waste disposal time considering the interdependency between WDS and RNS under seismic and tsunami hazards. As a measure of a coastal community resilience after the occurrence of a strong earthquake, the probability of waste disposal completion at a time elapsed from the earthquake occurrence is estimated considering the uncertainties associated with predicting the time-dependent functionalities of the two systems. As an illustrative example, the proposed framework is applied to a coastal community in Mie Prefecture, Japan, to investigate the effects of the interdependency between the two systems on the disaster waste disposal time.

Keywords: Resilience; Disaster waste disposal system; Road network system; Interdependency; Seismic hazard; Tsunami hazard (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:262:y:2025:i:c:s0951832025004430

DOI: 10.1016/j.ress.2025.111242

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