{"title":"Dealing with uncertainty in design of port infrastructure systems","authors":"P. Taneja, H. Ligteringen, M. Schuylenburg","doi":"10.1504/JDR.2010.032073","DOIUrl":null,"url":null,"abstract":"Ports exist by the grace of international trade. In the volatile and uncertain environment of globalization, liberalization, rapidly changing technologies, competition, threats and budgets, this trade is highly unpredictable and investments in port infrastructure therefore highly risky. The aim of this paper is to establish that the uncertainties due to these unexpected developments cannot be actively managed through traditional approach of scenario building for demand forecasting but only through flexible and evolutionary designs.","PeriodicalId":207041,"journal":{"name":"2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/JDR.2010.032073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
Ports exist by the grace of international trade. In the volatile and uncertain environment of globalization, liberalization, rapidly changing technologies, competition, threats and budgets, this trade is highly unpredictable and investments in port infrastructure therefore highly risky. The aim of this paper is to establish that the uncertainties due to these unexpected developments cannot be actively managed through traditional approach of scenario building for demand forecasting but only through flexible and evolutionary designs.