Multicriteria analysis and public transport management

Kavran, Zvonko; Štefančić, Gordana; Presečki, Antun

doi:10.2495/ut070091

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…Ferrari (2003) Investment on infrastructure for transport systems X X X X X X X Sayers et al (2003) Investment on infrastructure for transport systems X X X X X X X Yedla and Shrestha (2003) Choice of technologies X X X XX X Brucker et al (2004) Choice of technologies X X X X Not specified Ellis et al (2004) Investment on infrastructure for transport systems X X X X X X X Macharis et al (2004) Choice of technologies X X X X X X Tzeng et al (2005) Choice of "clean technologies" for vehicles X X X X X X X X Caliskan (2006) Investment on infrastructure for transport systems X X X X X X X Tudela et al (2006) Investment on infrastructure for transport systems X X X X X X X Ahern and Anandarajah (2007) Investment on infrastructure for transport systems X X X X X X X X X Brey et al (2007) Choice of technologies X X X X Fioravanti et al (2007) Investment on infrastructure for transport systems X X X X X X X X Kavran et al (2007) Choice of technologies X X X X X X Tavares-Pereira et al (2007) Partition of districts for an IPTS X X X X…”

Section: Resultsmentioning

confidence: 99%

Multi-criteria approaches for urban passenger transport systems: a literature review

2014

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Megacities around the world are highly concerned about the impacts of urban transportation. The rapid urbanization and motorization in megacities have a direct impact on sustainable development. Hence, it is very frequently to find the multiple actors from both private and public sectors involved in the design and operation of urban passenger transportation systems to make decisions that seek at optimizing their own particular objectives. However, urban passenger transport system is a very complex task involving multiple criteria related to economic, environmental and socio-political issues. Multi-criteria decision-making (MCDM) techniques actually aid the decision making process by assessing such problems. This paper presents a review of research papers published between 1982 and 2014 (up to May) concerning MCDM for the design and operation of urban passenger transport systems. From the analysis over more than 30 years, the current paper highlights the importance of taking into account the multiplicity of actors and their own decision criteria, as well as the resolution technique. Finally, some suggestions for future research are discussed.

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Section: Resultsmentioning

confidence: 99%

Multi-criteria approaches for urban passenger transport systems: a literature review

2014

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“…The alternative was chosen with the highest result (V (a) ). Another study was conducted to improve the efficiency of the public urban transportation system (19). In the study, a model of multicriterion decision making based on the analytical hierarchical model was presented with the aim of improving the efficiency of the public urban transportation system.…”

Section: Multicriterion Decision Analysismentioning

confidence: 99%

Guidelines for Multicriterion Decision-Based Left-Turn Signal Control

Özmen

Tian

Gibby³

2009

Transportation Research Record

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There are three main types of left-turn control at signalized intersections: permitted, protected, and protected–permitted. Determining left-turn signal control types is one of the major elements in traffic signal design and operations, and it is a systematic approach involving complex decision rules. Existing guidelines for determining left-turn signal control have been primarily based on traffic volume, delay, geometry, crash experience, and other related factors. Such guidelines are generally presented in a flowchart format. One of the major shortcomings of the existing guidelines is that a single variable could dominate the decision process and thereby prevent a balanced consideration of all other important variables. A new guideline for determining left-turn control types mostly applicable to conventional left-turn displays is presented. The current format is designed for a four-leg intersection configuration; however, it can be easily adapted to the other formats. The guideline is based on the principles of multicriterion decision analysis and provides an index-based recommendation: a numerical scale is used to compare each type of left-turn control with the others instead of an absolute left-turn control type. With the data collected from the field, it is shown that the proposed guideline can be calibrated and tailored to specific left-turn control policies. Therefore, the guideline can be easily adapted by any jurisdiction.

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