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dc.contributor.authorTeng, JYen_US
dc.contributor.authorTzeng, GHen_US
dc.date.accessioned2014-12-08T15:02:28Z-
dc.date.available2014-12-08T15:02:28Z-
dc.date.issued1996-08-01en_US
dc.identifier.issn0191-2615en_US
dc.identifier.urihttp://dx.doi.org/10.1016/0191-2615(95)00032-1en_US
dc.identifier.urihttp://hdl.handle.net/11536/1135-
dc.description.abstractThis article presents a new method for SElecting Non-independent TRansportation investment Alternatives (SENTRA). This method utilizes effective distance heuristic algorithm which attempts to maximize the achieved objectives needed to satisfy available resources. Since transportation investment planning cannot avoid dealing with issues of interdependence among alternatives, this paper will consider four types of investment alternatives: independence, complementarity, substitution and common complementary substitution. Transportation investment alternative selection problem can be formulated in terms of the 0-1 multiobjective multidimensional knapsack problem. Possessing the characteristics of NP-completeness, strict computation is not necessary for the optimal solution, but simple computation for near-optimal solution is expected. The method is proposed in this paper so as to attain the near-optimal solution, which, aside from ranking the selected transportation investment alternatives, can easily perform sensitivity analysis. Finally, an example is presented to illustrate the method. Copyright (C) 1996 Elsevier Science Ltden_US
dc.language.isoen_USen_US
dc.titleA multiobjective programming approach for selecting non-independent transportation investment alternativesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/0191-2615(95)00032-1en_US
dc.identifier.journalTRANSPORTATION RESEARCH PART B-METHODOLOGICALen_US
dc.citation.volume30en_US
dc.citation.issue4en_US
dc.citation.spage291en_US
dc.citation.epage307en_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.identifier.wosnumberWOS:A1996UV82800004-
dc.citation.woscount43-
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