{"refrec":{"BRefID":363188,"RR":"<b>Cao, X.; Lam, J.S.L.</b> (2018). Simulation-based catastrophe-induced port loss estimation. <i>Reliability Engineering & System Safety 175</i>: 1-12. <a href=\"https://dx.doi.org/10.1016/j.ress.2018.02.008\" target=\"_blank\">https://dx.doi.org/10.1016/j.ress.2018.02.008</a>","BEntID":360906,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Reliability Engineering & System Safety 175</i>: 1-12. <a href=\"https://dx.doi.org/10.1016/j.ress.2018.02.008\" target=\"_blank\">https://dx.doi.org/10.1016/j.ress.2018.02.008</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Cao, X.; Lam, J.S.L.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Cao, X.; Lam, J.S.L.","Englishabstract":"Seaports are critical infrastructure systems in the international economy. They are at the same time vulnerable to various types of natural and man-made catastrophes due to their special coastal and low-lying locations. Traditional catastrophe risk analyses focused more on regions, port cities, and port communities. Limited studies assessed catastrophe risks on ports as a specific system. This paper aims to develop a catastrophe-induced port loss estimation framework, based on a port operation simulation model, actual terminal records and historical hazard records. By using the typhoon hazard and the Port of Shenzhen as a case study, we find that (1) the worst-case scenario of a typhoon impact could cause a total loss of US$0.91 billion for a terminal with 16 berths; and (2) the annual predicted typhoon-induced loss for the same terminal for the next 5 years will reach approximately US$64 million, accounting for 19.7% of the terminal net profit in 2015. The results provide useful references for various port stakeholders in catastrophe risk assessment and mitigation.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Simulation-based catastrophe-induced port loss estimation","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Catastrophe risk; Port; Worst-case scenario; Vulnerability; Container terminal loss estimation; Simulation","OtherDescriptors":null,"Notes":null,"AnaPub":2018,"MonPub":null,"DateUpdate":"2023-04-05","DateCreate":"2023-04-04","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000433273200001","VABBcode":null,"OpenAcc":0,"DOI":"10.1016/j.ress.2018.02.008"},"refs":null,"anarec":{"AnaID":363188,"PubliDate":2018,"Pagination":"1-12","XtraPublOfAnaID":null,"ISBN":null,"Volume":"175","Issue":null,"BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":277276,"SerRR":"Reliability Engineering & System Safety. 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