Decision-making process in intermodal transportation

Tsamboulas, DA; Kapros, S

dc.contributor.author	Tsamboulas, DA	en
dc.contributor.author	Kapros, S	en
dc.date.accessioned	2014-03-01T01:15:32Z
dc.date.available	2014-03-01T01:15:32Z
dc.date.issued	2000	en
dc.identifier.issn	0361-1981	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13568
dc.subject	Decision Making Process	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Transportation	en
dc.subject.classification	Transportation Science & Technology	en
dc.title	Decision-making process in intermodal transportation	en
heal.type	journalArticle	en
heal.identifier.primary	10.3141/1707-11	en
heal.identifier.secondary	http://dx.doi.org/10.3141/1707-11	en
heal.language	English	en
heal.publicationDate	2000	en
heal.abstract	A methodological framework with models is provided, which correlates behavioral and perceptual issues related to the use of intermodal transportation with the commonly used physical and economic criteria in modal choice approaches. With factor analysis, key variables and common decision patterns related to the choice of intermodal transportation are identified. Factor analysis is applied to capture the actors' perception of the importance of variables affecting the decision-making process. With multiple regression analysis, models simulating the decision-making process are developed for actor groups, utilizing actual quantitative data of cost and performance of intermodal transportation services. Three decision patterns and the respective actor groups' profiles are identified. The first group consists of actors who decide almost exclusively according to the cost criterion; these actors are intensive users of intermodal transportation. The second group has actors who decide according to both quality and cost criteria; using intermodal transportation by this actor group constitutes a minor portion of its total transport volumes. The third group consists of actors who are influenced in their decisions by specific logistics needs, beyond the physical transportation activity itself. The offer of third-party end-haul operations or refrigerated storage areas is an example of such services, necessitating specific logistic support. For each actor group a model is developed, which associates values of the quantitative variables affecting the decision-making process with the share of intermodal transportation in the total volume of transport handled by the group. The application of the model defines the extent to which changes in the values of relevant variables may shift a decision toward the use of intermodal transportation.	en
heal.publisher	TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL	en
heal.journalName	FREIGHT TRANSPORTATION RESEARCH	en
heal.bookName	TRANSPORTATION RESEARCH RECORD	en
dc.identifier.doi	10.3141/1707-11	en
dc.identifier.isi	ISI:000176783200011	en
dc.identifier.issue	1707	en
dc.identifier.spage	86	en
dc.identifier.epage	93	en