Road Safety, Aberrant Driver Behaviour and Sustainable Transportation Planning

A special issue of Vehicles (ISSN 2624-8921).

Deadline for manuscript submissions: 15 September 2026 | Viewed by 203

Special Issue Editors


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Guest Editor
Western Australian Centre for Road Safety Research, The University of Western Australia, Perth, WA 6009, Australia
Interests: road safety; aberrant driving behaviours; driver distraction; crash modelling; traffic simulation; transportation infrastructure; human factors in road safety

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Guest Editor
The Centre for Accident Research and Road Safety, Queensland University of Technology, Brisbane City, QLD 4000, Australia
Interests: road safety; human factors; automated vehicles and human-machine-interaction/interface; traffic and transportation planning and management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. School of Psychological Science, The University of Western Australia (M304), 35 Stirling Highway, Perth 6009, Australia
2. Western Australian Centre for Road Safety Research, The University of Western Australia, Perth 6009, Australia
Interests: road safety, driver fatigue, distraction and driver error; digital billboard distraction; experimental psychology and implicit memory; fatigue management in transportation and resources sectors; applied research on road user behaviour and safety interventions

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Guest Editor
SPIRIT, School of Traffic and Transportation Engineering, Central South University, Changsha, China
Interests: driving behaviour analysis; autonomous vehicles safety and regulations; vulnerable road users safety; travel behavioural change after disasters caused by climate change and pandemics; transportation sustainability; adoption behaviour towards emerging transportation (electric vehicles; electric motorcycles); artificial intelligence and machine learning applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As transportation systems evolve with the advancement of intelligent technologies and increasing emphasis on sustainability, a siloed approach to safety, behaviour, and planning is no longer sufficient. This Special Issue highlights the need for an integrated framework that considers road safety in conjunction with driver behaviour, Intelligent Transport Systems (ITSs), and long-term planning for sustainable mobility. By bringing together interdisciplinary research, this Special Issue aims to showcase innovative strategies and data-driven interventions that collectively contribute to safer, smarter, and more environmentally responsible transport networks.

Our objective is present cutting-edge research at the intersection of driver behaviour, ITS, and sustainable transportation planning, with a particular focus on road safety outcomes. Advancements in data-driven modelling, vehicle automation, connected vehicle systems, and behavioural science offer exciting opportunities to improve traffic efficiency, reduce crashes, and support resilient urban mobility systems.

We invite original research articles and review papers that examine these connections through empirical studies, simulations, policy evaluations, or theoretical frameworks. Contributions from interdisciplinary teams, cross-sectoral collaborations, and real-world applications are especially encouraged.

Research areas may include (but are not limited to) the following:

  • Aberrant driving behaviours and their implications for road safety;
  • Behavioural modelling of drivers in response to smart infrastructure and in-vehicle systems;
  • Safety impacts of Connected and Autonomous Vehicles (CAVs);
  • Role of ITSs in mitigating aberrant driving behaviours and enhancing decision-making;
  • Use of AI and big data analytics in crash prediction, safety audits, and transport planning;
  • Integration of driver-centric insights into sustainable urban mobility plans;
  • Innovative policy and planning tools to promote safe and sustainable transport networks.

Dr. Muhammad Hussain
Dr. Xiaomeng Li
Dr. Paul Roberts
Dr. Amjad Pervez
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. Vehicles is an international peer-reviewed open access quarterly 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 1600 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

  • transportation systems
  • road safety
  • driver behaviour
  • Intelligent Transport Systems (ITSs)
  • sustainable mobility
  • data-driven modelling
  • vehicle automation
  • connected vehicle systems

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Published Papers (1 paper)

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Research

16 pages, 2410 KB  
Article
Revealing the Impact Factors of the Electric Bike Riders’ Violation Riding Behaviors in China: Integrating SEM with RP-Logit Model
by Yazhu Zou, Chunjiao Dong and Jing Shi
Vehicles 2025, 7(4), 122; https://doi.org/10.3390/vehicles7040122 (registering DOI) - 26 Oct 2025
Abstract
The purpose of this study was to investigate how environmental judgments and psychological factors jointly influence self-reported violation riding behaviors among e-bike riders in China, with attention to sociodemographic heterogeneity. To achieve this, the e-bike violation riding behavior questionnaire was designed. Additionally, a [...] Read more.
The purpose of this study was to investigate how environmental judgments and psychological factors jointly influence self-reported violation riding behaviors among e-bike riders in China, with attention to sociodemographic heterogeneity. To achieve this, the e-bike violation riding behavior questionnaire was designed. Additionally, a hybrid approach integrating the Structural Equation Model (SEM) with the Random Parameters Logit (RP-Logit) model was constructed to reveal the impact factors of e-bike riders’ violation riding behaviors, in which demographic information and latent variables were comprehensively considered. This methodology simultaneously analyzed the complex relationships among latent variables (measured by SEM) and captured the heterogeneous effects of demographic factors on discrete violation tendencies (modeled by RP-Logit). The following two main findings emerged: (1) Experienced riders and those who use e-bikes as operating tools tend to exhibit a higher tendency to engage in violation riding. (2) Perceived Risk has the greatest impact on the performance of high-violation tendencies. Specifically, the probability of choosing high-violation riding behaviors decreases by 0.18 for each unit increase in the rider’s Perceived Risk. (3) Similarly, for each unit increase in riders’ Perceived Law Enforcement, the probability of choosing high-violation riding behaviors decreases by 0.15. The findings suggest that relevant authorities should address e-bike violation behaviors through enhanced safety education and strengthened enforcement measures, particularly targeting high-risk rider groups. Full article
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