货运模式选择:多准则决策分析与地理信息系统的结合

Q4 Business, Management and Accounting

International Journal of Multicriteria Decision Making Pub Date : 2016-01-09 DOI:10.1504/ijmcdm.2015.074087

C. Macharis, D. Meers, T. Lier

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引用次数: 13

摘要

为了解决集装箱运输中的模式选择决策问题，采用多准则决策分析-地理信息系统方法，建立了多式联运和单式公路运输的决策支持模型。多标准决策分析允许同时分析许多可能相互冲突的模态选择标准。首先，基于地理信息系统的模型计算每个备选路线的大小或考虑的标准的分数。其次，多标准决策分析在相关标准之间进行权衡，并为给定的运输选择最合适的运输选项。该模型针对比利时境内的交通问题进行了测试，但也可以应用于其他情况。综合模型可用于做出更一致的模式选择决策，以满足用户的特定偏好。

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Modal choice in freight transport: combining multi-criteria decision analysis and geographic information systems

To tackle the modal choice decision problem in container transport, a decision support model for comparing intermodal and unimodal road transport is developed, using a combined multi-criteria decision analysis - geographic information system approach. Multi-criteria decision analysis allows to simultaneously analyse many, possibly conflicting, modal choice criteria. First, a geographic information system-based model calculates the size or the score of the considered criteria, for each alternative route. Next, the multi-criteria decision analysis makes trade-offs among the relevant criteria and selects the most suitable transport option for a given transport. The model is tested for transport problems within Belgium, but can be applied to other cases. The comprehensive model can be used to make more consistent modal choice decisions to meet the specific preferences of users.

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来源期刊

International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management

CiteScore

0.70

自引率

0.00%

发文量

期刊介绍： IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields