An Integrated Approach of Multi-Criteria Decision-Making and Grey Theory for Evaluating Urban Public Transportation Systems

Alkharabsheh, Ahmad; Moslem, Sarbast; Oubahman, Laila; Duleba, Szabolcs

doi:10.3390/su13052740

Cited by 46 publications

(19 citation statements)

References 52 publications

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“…The locations identified, both before and during the pandemic, showed a significant relationship between the attractiveness of the place of residence and access to efficient public transport. This confirms the role of transport in sustainable urban development, as emphasised in numerous studies, e.g., [91]. In the conducted research, students declared criterion K1: good access or close to the WUT as being very important.…”

Section: Discussionsupporting

confidence: 83%

Group Spatial Preferences of Residential Locations—Simplified Method Based on Crowdsourced Spatial Data and MCDA

Jaroszewicz

Majewska

2021

Sustainability

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Residential location preferences illustrate how the attractiveness of particular neighbourhoods is perceived and indicate what improves or lowers the comfort of life in a city according to its residents. This research analyses the residential preferences of students who were asked to indicate their most preferred residential locations and to define their selection criteria. The study was conducted in two phases: in 2019, before the outbreak of the pandemic, and in 2020 during the second wave of the COVID-19 outbreak. The methodology of spatial multi-criteria analyses and the developed simplified approach to determining collective preferences from crowdsourced data FCPR (first criteria partial ranking) were used to analyse the preferences. The following research questions were asked: (1) whether the developed simplified FCPR methodology would provide results similar to the methods currently used to determine group weightings of criteria; (2) what spatial aspects were important for the students when choosing where to live, and (3) whether these aspects change in the face of the pandemic. The results obtained confirmed the effectiveness of the simplified approach. They indicated a significant relationship between an efficient public transport system and residence preferences, even with prolonged distance learning. They also showed the increased importance of location close to family or friends in the face of the pandemic. Only a combined analysis of the preferences expressed both in the form of a ranking of criteria and directly indicated locations provides complete information.

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Section: Discussionsupporting

confidence: 83%

Group Spatial Preferences of Residential Locations—Simplified Method Based on Crowdsourced Spatial Data and MCDA

Jaroszewicz

Majewska

2021

Sustainability

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“…It can be interpreted through the groups' different interests and motivations (mainly between passengers with maximizing the fleet of buses and municipal representatives with minimizing the total budget) or insufficient expertise or information for the passengers' side. Accordingly, this study identified strong agreement and priority among the stakeholder; unlike the previous studies [9,16,31], the pandemic might have rearranged the priorities for the stakeholders.…”

Section: Resultscontrasting

confidence: 66%

“…Ref. [16] proposed a new MCDM technique Gray-AHP decision-making method to evaluate the public transportation supply quality. Ref.…”

Section: Introductionmentioning

confidence: 99%

Public Transportation Service Quality Evaluation during the COVID-19 Pandemic in Amman City Using Integrated Approach Fuzzy AHP-Kendall Model

Alkharabsheh

Duleba

2021

Vehicles

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The COVID-19 pandemic has affected public transportation worldwide, and its implications need to be evaluated and study deeply on all public transportation aspects. Therefore, an analysis has been created to examine the effects of the pandemic on public transportation service quality decisions to have a better vision of the different stakeholders’ needs to keep the system functioning in a profitable way. Stakeholder participation in complex, multi-criteria decision-making often produces very different results in prioritizing the decision attributes. Rank correlation techniques generally measure the degree of agreement or non-agreement among the evaluator groups. However, the multi-criteria methodology can determine not only ordinal but also cardinal priorities. Consequently, except for the attributes’ positions, the weight values are also significant in the final decision. This paper aims to apply a more sophisticated measure of group agreement than rank correlation. First, the Fuzzy-hierarchical analytical process (FAHP) has been used to find out the aggregated weights, then the Kendall correlation values are computed to reveal stakeholder opinions. Finally, the agreement measure approach has been tested in a real-world case study: the public transport development decision of Amman, Jordan. The analysis shows that by applying the Kendall technique, Kendall could gain a more profound insight into the priority characteristics of different evaluator groups.

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“…They showed a drop in vehicle travel time in the range of 49% and 89% for delay, relative to an all-way stop sign control [22]. Other studies on CACC showed that the implementation of full penetration CACC on the regional road network reduced total delay by 12% [23,24]. Other C-ITS systems, such as Green Light Optimal Speed Advisory (GLOSA) systems that help drivers pass traffic light controlled intersection in the remaining green time, showed improved traffic flow and reduced CO 2 emissions [25,26].…”

Section: Literature Reviewmentioning

confidence: 96%

Macroscopic Traffic Simulation of Autonomous Vehicle Effects

Obaid

Török

2021

Vehicles

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The increasing worldwide demand on urban road transportation systems requires more restrictive measures and policies to reduce congestion, time delay and pollution. Autonomous vehicle mobility services, both shared and private, are possibly a good step towards a better road transportation future. This article aims to study the expected impact of private autonomous vehicles on road traffic parameters from a macroscopic level. The proposed methodology focuses on finding the different effects of different combinations of autonomous vehicle penetration and Passenger Car Units (PCU) on the chosen road traffic model. Four parameters are studied: traveled daily kilometers, daily hours, total daily delay and average network speed. The analysis improves the four parameters differently by implementing autonomous vehicles. The parameter total delay has the most significant reduction. Finally, several mathematical models are developed for the percentage of improvement for each chosen parameter.

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An Integrated Approach of Multi-Criteria Decision-Making and Grey Theory for Evaluating Urban Public Transportation Systems

Cited by 46 publications

References 52 publications

Group Spatial Preferences of Residential Locations—Simplified Method Based on Crowdsourced Spatial Data and MCDA

Group Spatial Preferences of Residential Locations—Simplified Method Based on Crowdsourced Spatial Data and MCDA

Public Transportation Service Quality Evaluation during the COVID-19 Pandemic in Amman City Using Integrated Approach Fuzzy AHP-Kendall Model

Macroscopic Traffic Simulation of Autonomous Vehicle Effects

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