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Journal of Advanced Transportation
Article . 2010 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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The methodology of multiple criteria decision making/aiding in public transportation

Authors: Jacek Zak;

The methodology of multiple criteria decision making/aiding in public transportation

Abstract

AbstractThe paper presents methodological overview of the application of Multiple Criteria Decision Making/Aiding (MCDM/A) in public transportation. It explains why MCDM/A methodology is so important while dealing with different categories of decision problems that arise in mass transit systems. Major features and basic notions of MCDM/A methodology are presented. Different categories of MCDM/A methods are characterized and classified. Two case studies demonstrate possible applications of MCDM/A methodology in public transportation. In the first case study multiple objective evaluation of the mass transit system developments' scenarios is carried out. Four variants of the mass transit system are evaluated by a consistent family of criteria with an application of ELECTRE III method. The second case study refers to optimization of the crew size in the mass transit system operated by a public transportation company (PTC). Multiple objective mathematical programing problem is formulated and solved by a combination of an original, customized heuristic procedure implemented in a computer software PEOPLE and the Light Beam Search (LBS) method. Copyright © 2010 John Wiley & Sons, Ltd.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
65
Top 10%
Top 10%
Top 10%
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