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Sustainable Public Transportation and Accident Prevention

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 6692

Special Issue Editors

Department of Civil Engineering, National Chi Nan University, Nantou County 54561, Taiwan
Interests: transport sustainability; transport economics; transport demand
Special Issues, Collections and Topics in MDPI journals
Department of Physical Therapy, Asia University, Taichung 413, Taiwan
Interests: transportation safety; accident prevention; driver rehabilitation
Central Region Branch Office of Freeway Bureau, Ministry of Transportation and Communications, Taichung City 40755, Taiwan
Interests: travel behavior; sustainable transportation; econometric methods applied in transportation
Department of Civil Engineering, National Chi Nan University, Nantou County, 54561 Taiwan
Interests: statistical/econometric modeling; driving behavior analysis; transportation planning; willingness to pay analysis; road traffic safety and cost

Special Issue Information

Dear Colleagues,

This Special Issue aims to bring together emerging research on various advanced technologies and methodologies applied to address sustainable transportation issues, particularly in the areas related to public transportation and accident prevention. We expect submissions to make a step forward in understanding the economic, behavioral, theoretical, and/or empirical aspects of sustainable public transportation, as well as traffic safety. Sustainable public transportation includes modes that can reduce emissions and improve operational efficiency, such as electric-powered buses, autonomous buses, and carpooling. On the other hand, sustainable accident prevention refers to techniques and strategies that can be applied to the transport system so that traffic accidents can be mitigated or reduced, such as the installation of alcohol interlocks to drunk drivers and high-tech enforcement. In addition, since travel behavior has been profoundly changed due to the spread of COVID-19, relevant papers contributing to this area are also welcome.

This Special Issue encourages submissions of original articles that report significant research contributions on the following topics:

  • sustainable public transportation planning, management, and policies;
  • new methodologies, technologies, and practices for achieving travel behavioral change in public transportation passengers;
  • behavioral changed related to traffic safety;
  • methods or incentives for promoting public transportation use and reducing traffic accidents.

Prof. Rong-Chang Jou
Dr. Ming-Che Chao
Dr. Yuan-Chan Wu
Dr. Tzu-Ying Chen
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 submissions that pass pre-check are 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 2400 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

  • travel behavior
  • traffic safety
  • sustainable transportation
  • incentives
  • behavioral change

Published Papers (3 papers)

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Research

11 pages, 867 KiB  
Article
Analysis of Environmental Factors on Intersection Accidents
by Da-Jie Lin, Jia-Rong Yang, Hsin-Hsien Liu, Hsiu-Sen Chiang and Lin-Yao Wang
Sustainability 2022, 14(3), 1764; https://0-doi-org.brum.beds.ac.uk/10.3390/su14031764 - 03 Feb 2022
Cited by 2 | Viewed by 1722
Abstract
In recent years, the number of fatal traffic accidents has been on the rise in Taiwan, with a total of 2865 fatalities in 2019, representing a 3% increase from the previous year, and indicating an urgent need for the improvement of Taiwan’s traffic [...] Read more.
In recent years, the number of fatal traffic accidents has been on the rise in Taiwan, with a total of 2865 fatalities in 2019, representing a 3% increase from the previous year, and indicating an urgent need for the improvement of Taiwan’s traffic conditions. This research focuses on the three-way intersections on provincial roads. In Taiwan, such three-way intersections account for more than 70% of all intersections on provincial roads. From 2018 to 2019, there were 41,137 accidents at three-way intersections, accounting for about 50% of the traffic accidents in Taiwan. Relevant research in Taiwan has been mostly focused on driver characteristics and other factors were less addressed. In this study, we looked into the environmental factors, conducted analysis and the results were proposed for future roadway safety improvements. This study uses a regression model for analysis, in which the dependent variable is the number of traffic accidents at each intersection. However, for 68% of the three-way intersections surveyed, the number of traffic accidents recorded during the observation period was zero. Therefore, this study uses zero-inflated models to construct a model to identify important variables that affect the severity of traffic accidents at three-way intersections. The research results show that two types of factors are related to the risk of traffic accidents at three-way intersections. The first type includes the width of the provincial road, the width of the shoulder, the width of the dividing line and the number of lanes, while the second type relates to the presence of convenience stores, gas stations, supermarkets, and other attractions, such as public retail markets at the intersection. Full article
(This article belongs to the Special Issue Sustainable Public Transportation and Accident Prevention)
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14 pages, 4665 KiB  
Article
A Quantitative Approach of Subway Station Passengers’ Heterogeneity of Decision Preference Considering Personality Traits during Emergency Evacuation
by Heng Wang, Zehao Jiang, Tiandong Xu and Feng Li
Sustainability 2021, 13(22), 12540; https://0-doi-org.brum.beds.ac.uk/10.3390/su132212540 - 12 Nov 2021
Cited by 2 | Viewed by 1720
Abstract
Subway station emergencies are gradually increasing in China. The aim of this research is to study the effects of “Dist”, “Pedestrian flow” and “Crowd density” on the heterogeneity of passengers’ decision-making preference and explore the relationship between heterogeneity and personality. Firstly, a questionnaire [...] Read more.
Subway station emergencies are gradually increasing in China. The aim of this research is to study the effects of “Dist”, “Pedestrian flow” and “Crowd density” on the heterogeneity of passengers’ decision-making preference and explore the relationship between heterogeneity and personality. Firstly, a questionnaire of 20 emergency evacuation scenarios, that includes the Eysenck Personality Questionnaire, is designed. Secondly, the heterogeneity of passengers’ decision preference is quantified by the random parameter logit model. Finally, personality traits and influencing factors are used as abscissa and ordinate respectively, to study the relationship between personality traits and preference heterogeneity. The results show that the coefficients of “Dist”, “Pedestrian flow” and “Crowd density” are −0.101, 0.236 and −0.442 respectively, which are statistically significant. The proportion of extroverted passengers of the exit is 9% higher than that of introverted passengers when “Pedestrian flow” of the exit is greater than the average value, while the proportion of introverted passengers is 7% higher than that of extroverted passengers when “Crowd density” is smaller than the average value. The conclusion is that the three influence factors are random variables, and “Dist” shows the lowest level of heterogeneity. Extroverted passengers are more likely to follow a large crowd for evacuation, but introverted passengers are more likely to avoid crowded exits. Full article
(This article belongs to the Special Issue Sustainable Public Transportation and Accident Prevention)
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15 pages, 7033 KiB  
Article
A Novel Emergency Evacuation Model of Subway Station Passengers Considering Personality Traits
by Heng Wang, Tiandong Xu and Feng Li
Sustainability 2021, 13(18), 10463; https://0-doi-org.brum.beds.ac.uk/10.3390/su131810463 - 20 Sep 2021
Cited by 6 | Viewed by 2084
Abstract
Subway station emergencies have caused serious casualties in recent years, so the aim of this research was to develop and establish an evacuation model that considers the OCEAN personality psychological traits to improve the credibility of the emergency pedestrian evacuation simulation. Firstly, the [...] Read more.
Subway station emergencies have caused serious casualties in recent years, so the aim of this research was to develop and establish an evacuation model that considers the OCEAN personality psychological traits to improve the credibility of the emergency pedestrian evacuation simulation. Firstly, the relationship between the personality and psychological stress was established based on the reconstruction of a passenger’s personality traits. Secondly, the relationship between the expected speed and a passenger’s personality traits was modified based on the social force model. Finally, the simulation was carried out using the Anylogic software. The results show that as the value of the personality increases, the evacuation time of personalities ψA and ψC gradually increases, but the opposite effect is observed for personalities ψN and ψE. Similarly, as the value of personality traits increases, the speed of personalities ψA and ψC gradually decreases, but the opposite effect is observed for personalities ψN and ψE. Only during peak periods, as the value of personality traits increases, the density of the connecting area of passengers with personality traits ψA and ψC gradually increases; on the contrary, that of passengers with personality traits ψN and ψE gradually decreases. The conclusion of this study is that different personality traits have different effects on evacuation behavior, which enriches the model of pedestrian evacuation further. Full article
(This article belongs to the Special Issue Sustainable Public Transportation and Accident Prevention)
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