Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163056
Title: Resilience assessment of waterway transportation systems: combining system performance and recovery cost
Authors: Wang, Nanxi
Yuen, Kum Fai
Keywords: Engineering::Civil engineering
Issue Date: 2022
Source: Wang, N. & Yuen, K. F. (2022). Resilience assessment of waterway transportation systems: combining system performance and recovery cost. Reliability Engineering & System Safety, 226, 108673-. https://dx.doi.org/10.1016/j.ress.2022.108673
Journal: Reliability Engineering & System Safety
Abstract: Waterway transportation is considered as one of the most critical means of transportation. Risk management is one of the most important ways to ensure the safe operation of waterway transportation systems (WTS). Recently, the concept of resilience has been widely studied as it can be used to measure not only the system's reliability, but also its recoverability. The objectives of this study are to (1) analyze WTS resilience by introducing disruptions at different stages of the resilience recovery cycle through simulation and (2) introduce a comprehensive resilience indicator which comprises ship load, ship delay and recovery cost. A discrete-event based simulation model is developed to quantify WTS resilience. The Yangtze Estuary Deepwater Channel is used as the case study, and the automatic identification system (AIS) data of this channel in 2018 are collected and used as the input parameters of the simulation model. Different scenarios and experiments have been designed to analyze the resilience performance of the WTS when it encounters different accidents. Based on a real accident case, two rescue plans are designed for comparisons, and the results demonstrate the effectiveness of the proposed resilience indicator. Based on the analysis results several practical suggestions are recommended.
URI: https://hdl.handle.net/10356/163056
ISSN: 0951-8320
DOI: 10.1016/j.ress.2022.108673
Rights: © 2022 Elsevier Ltd. All rights reserved. This paper was published in Reliability Engineering & System Safety and is made available with permission of Elsevier Ltd.
Fulltext Permission: embargo_20241107
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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