Special Issue "Sustainable Transport Economics, Behaviour and Policy"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: 31 July 2020.

Special Issue Editors

Dr. Richard Tay

Guest Editor
School of Business IT & Logistics, RMIT University, Melbourne, Victoria 3053, Australia
Interests: Sustainable Transport; Transport Economics; Transport Policy; Road Safety
Special Issues and Collections in MDPI journals
Dr. Long T. Truong

Guest Editor
Department of Engineering, La Trobe University, Bundoora VIC 3086, Australia
Interests: Intelligent Transport Systems; Road Safety; Transport Modelling; Travel Behaviour
Special Issues and Collections in MDPI journals
Dr. Samuel Chng

Guest Editor
Singapore University of Technology and Design
Interests: sustainable transport; smart cites; behavioural science

Special Issue Information

Dear Colleagues,

Climate change and disruptive technologies have generated increasing pressure on transport professionals to focus on sustainable transport. Therefore, the planning, design, management and regulation of all transport services and infrastructures is a challenge to policy makers, transportation engineers, planners and behavioural scientists seeking to promote sustainable travel behaviours. This magnitude of this challenge will only increase as new technology and innovations such as connected, autonomous vehicles, unmanned aerial vehicles, and Mobility-as-a-Service are introduced. Hence, this Special Issue focuses on research that aims to increase our understanding of sustainable travel behaviour, and the development, implementation and evaluation of measures to increase the efficiency, environmental friendliness, resilience and sustainability of existing and future transportation systems.

Dr. Richard Tay
Dr. Long Truong
Dr. Samuel Chng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Demand and adoption of sustainable vehicles and fuel
  • Public transport ridership, cycling and walking
  • Improving safety of vulnerable road users
  • Improving comfort and accessibility of public transport
  • Sustainable cities and transport
  • Economic incentives, regulation and policies
  • Advanced travel demand management strategies
  • Sustainability education, social marketing and campaigns
  • Evaluation of techonologies in changing behaviours
  • Evaluation of technologies in reducing pollution
  • Cost–benefit analysis of green transport technologies
  • Shared mobilities such as carsharing, ridesharing, ride hailing, etc.

Published Papers (3 papers)

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Research

Open AccessArticle
The Depth-First Optimal Strategy Path Generation Algorithm for Passengers in a Metro Network
Sustainability 2020, 12(13), 5365; https://doi.org/10.3390/su12135365 - 02 Jul 2020
Abstract
Passenger behavior analysis is a key issue in passenger assignment research, in which the path choice is a fundamental component. A highly complex transit network offers multiple paths for each origin–destination (OD) pair and thus resulting in more flexible choices for each passenger. [...] Read more.
Passenger behavior analysis is a key issue in passenger assignment research, in which the path choice is a fundamental component. A highly complex transit network offers multiple paths for each origin–destination (OD) pair and thus resulting in more flexible choices for each passenger. To reflect a passenger’s flexible choice for the transit network, the optimal strategy was proposed by other researchers to determine passenger choice behavior. However, only strategy links have been searched in the optimal strategy algorithm and these links cannot complete the whole path. To determine the paths for each OD pair, this study proposes the depth-first path generation algorithm, in which a strategy node concept is newly defined. The proposed algorithm was applied to the Beijing metro network. The results show that, in comparison to the shortest path and the K-shortest path analysis, the proposed depth-first optimal strategy path generation algorithm better represents the passenger behavior more reliably and flexibly. Full article
(This article belongs to the Special Issue Sustainable Transport Economics, Behaviour and Policy)
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Open AccessArticle
Urban Congestion Charging Acceptability: An International Comparative Study
Sustainability 2020, 12(12), 5044; https://doi.org/10.3390/su12125044 - 20 Jun 2020
Abstract
The congestion charging scheme is regarded as a successful measure to reduce traffic-related problems. However, low general acceptability of the public for implementing such a scheme is a barrier against its success. In this research, an online pre-designed survey was conducted in five [...] Read more.
The congestion charging scheme is regarded as a successful measure to reduce traffic-related problems. However, low general acceptability of the public for implementing such a scheme is a barrier against its success. In this research, an online pre-designed survey was conducted in five capitals (Budapest, Tunis, Amman, Ulaanbaatar, and Damascus) to define the factors that affect congestion charging acceptability the most. The results of relationships between the studied factors like travel behavior and acceptance of the congestion charging scheme show an irregular pattern in each city. It indicates that the identity of each city and its general policy implications determine which factors significantly affect the public acceptability of congestion charging scheme. In Amman and Budapest, most of the predictors have no statistical effect on the schemes’ public acceptability. Consistent with previous researches, on the other hand, the results demonstrate that the schemes’ effectiveness is crucial and affects the acceptability significantly in all cities. At the same time, it shows that the “prior scheme knowledge” factor has a significant direct effect on the acceptability level in three cities (Damascus, Tunis, and Ulaanbaatar). Full article
(This article belongs to the Special Issue Sustainable Transport Economics, Behaviour and Policy)
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Open AccessArticle
An Integrated Model of Park-And-Ride Facilities for Sustainable Urban Mobility
Sustainability 2020, 12(11), 4631; https://doi.org/10.3390/su12114631 - 05 Jun 2020
Abstract
The Park and Ride (P&R) System is part of a set of parking policies provided by Sustainable Urban Mobility Plans (SUMPs) that have been used in developing efficient, safe and environmentally friendly solutions to reduce the undesirable effects of private vehicles in Central [...] Read more.
The Park and Ride (P&R) System is part of a set of parking policies provided by Sustainable Urban Mobility Plans (SUMPs) that have been used in developing efficient, safe and environmentally friendly solutions to reduce the undesirable effects of private vehicles in Central Business District (CBD). In fact, the P&Rs are allocated near public transportation stations to ease transfer from a private vehicle to a public transportation mode. Therefore, the P&R system is considered as an alternative transport mode in which the location and potential demand of each facility are fundamental components to be evaluated within sustainable urban planning. The paper proposes an integrated model of P&R facilities based on estimate the potential demand through a mathematical model of the seven park-and-ride (P&R) facilities (designated A to G) in Cuenca city, Ecuador. The developed integrated model includes two cost functions: one is the P&R mode, and the second is the private car mode. Additionally, a SUMP is integrated into the model as a data collection source in order to find the required parameters for the cost functions and origin–destination (O-D) matrix of private vehicles. The results showed that three out of the seven P&R facilities (P&R C, P&R G, and P&R A) had the highest demand (70% of the overall demand). Consequently, these three P&R facilities were studied separately using the same developed model, and the demand proved to be the highest for P&R facility “C” (39% out of 70%). In conclusion, SUMPs, as a methodology for data collection and a mathematical model, proved to be an effective integrated method for evaluating the most attractive P&R location based on the potential demand. Full article
(This article belongs to the Special Issue Sustainable Transport Economics, Behaviour and Policy)
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