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Advances in Travel Behavior and Road Traffic Safety

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Global Health".

Deadline for manuscript submissions: closed (12 April 2023) | Viewed by 8047

Special Issue Editors

College of Civil Engineering, Anhui Jianzhu University, Hefei 230009, China
Interests: traffic safety; driving behavior; pedestrians’ travel behavior; crash analysis; traffic design; human factor engineering

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Guest Editor
School of Internet, Anhui University, Hefei 230039, China
Interests: traffic safety; freeway; crash risk analysis; traffic big data mining; traffic engineering

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Guest Editor
School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
Interests: traffic safety and driving behavior; human factor and safety; intelligent traffic management and control

Special Issue Information

Dear Colleagues,

Road traffic safety is a global public health and development concern. More than a million people die each year on the world’s roads. The severe road traffic safety situation has attracted the attention of a large number of scholars. As the most important cause of road traffic crashes, research into human factors in traffic safety is also receiving more and more attention. In recent years, the advances in analytical methods and research tools have allowed researchers to provide insights into the complex interactions of the traveller, vehicle, roadway and environment. The development of science and technology such as intelligent transportation systems and autonomous driving technology has also proposed new solutions for road traffic safety issues. However, at the same time, road traffic safety confronts critical complex traffic scenarios and new safety challenges, e.g., driving behavior in intelligent and connected environments, as well as travel behavior during the COVID-19 pandemic, which attracts increasing attention from academia and industry. These are some of the great opportunities and challenges for the study of travel behavior and traffic psychology. 

Therefore, the journal IJERPH propose a Special Issue on the ‘Advances in Travel Behavior and Road Traffic Safety’. This Special Issue aims to provide a platform for researchers, developers and practitioners from both academia and industry to explore the latest findings in the fields of driving behavior, riding behavior and pedestrians’ behavior by employing advanced approaches, theoretical models and new perspectives. Original research and review articles related to the advances in travel behavior and road traffic safety will be considered. All aspects of statistical analyses, machine learning, driving simulator experiments, and naturalistic driving experiments are of interest. 

Topics of interest include, but are not limited to, the following:

  • Application of advanced theoretical models, new traffic signal control technologies in travel behavior and traffic safety research;
  • Emerging approaches and advanced theoretical models in road traffic crash analysis;
  • Research on driver/rider/pedestrians’ travel behavior in special environments such as COVID-19, intelligent and connected environment;
  • Research on the risky traffic behavior of drivers, riders and pedestrians;
  • Interaction behavior between drivers and other traffic participants, especially in intelligent and connected environments;
  • Driving behavior and traffic safety related to intelligent and connected vehicles;
  • Optimization design of road traffic facilities based on travel behaviors;
  • New theories of traffic safety evaluation considering driver factors and traffic facilities;
  • Advanced prediction models for the prediction of crash risk, traffic state, vehicle motion and travel behavior.

Dr. Kun Wang
Dr. Bo Yang
Dr. Fangtong Jiao
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. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly 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 2500 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

  • road traffic safety
  • driving behavior
  • travel behavior
  • interaction behavior
  • traffic crash analysis
  • road traffic facility
  • traffic safety evaluation
  • intelligent and connected vehicle

Published Papers (3 papers)

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Research

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13 pages, 5109 KiB  
Article
Effect of Five Driver’s Behavior Characteristics on Car-Following Safety
by Junjie Zhang, Can Yang, Jun Zhang and Haojie Ji
Int. J. Environ. Res. Public Health 2023, 20(1), 76; https://doi.org/10.3390/ijerph20010076 - 21 Dec 2022
Cited by 2 | Viewed by 1739
Abstract
Driver’s behavior characteristics (DBCs) influence car-following safety. Therefore, this paper aimed to analyze the effect of different DBCs on the car-following safety based on the desired safety margin (DSM) car-following model, which includes five DBC parameters. Based on the Monte Carlo simulation method, [...] Read more.
Driver’s behavior characteristics (DBCs) influence car-following safety. Therefore, this paper aimed to analyze the effect of different DBCs on the car-following safety based on the desired safety margin (DSM) car-following model, which includes five DBC parameters. Based on the Monte Carlo simulation method, the effect of DBCs on car-following safety is investigated under a given rear-end collision (RECs) condition. We find that larger subjective risk perception levels can reduce RECs, a smaller acceleration sensitivity (or a larger deceleration sensitivity) can improve car-following safety, and a faster reaction ability of the driver can avoid RECs in the car-following process. It implies that DBCs would cause a traffic wave in the car-following process. Therefore, a reasonable value of DBCs can enhance traffic flow stability, and a traffic control strategy can improve car-following safety by using the adjustment of DBCs. Full article
(This article belongs to the Special Issue Advances in Travel Behavior and Road Traffic Safety)
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23 pages, 5490 KiB  
Article
Exploring the Nonlinear and Threshold Effects of Travel Distance on the Travel Mode Choice across Different Groups: An Empirical Study of Guiyang, China
by Mingwei He, Jianbo Li, Zhuangbin Shi, Yang Liu, Chunyan Shuai and Jie Liu
Int. J. Environ. Res. Public Health 2022, 19(23), 16045; https://doi.org/10.3390/ijerph192316045 - 30 Nov 2022
Cited by 3 | Viewed by 1684
Abstract
Examining how travel distance is associated with travel mode choice is essential for understanding traveler travel patterns and the potential mechanisms of behavioral changes. Although existing studies have explored the effect of travel distance on travel mode choice, most overlook their non-linear relationship [...] Read more.
Examining how travel distance is associated with travel mode choice is essential for understanding traveler travel patterns and the potential mechanisms of behavioral changes. Although existing studies have explored the effect of travel distance on travel mode choice, most overlook their non-linear relationship and the heterogeneity between groups. In this study, the correlation between travel distance and travel mode choice is explored by applying the random forest model based on resident travel survey data in Guiyang, China. The results show that travel distance is far more important than other determinants for understanding the mechanism of travel mode choice. Travel distance contributes to 42.28% of explanation power for predicting travel mode choice and even 63.24% for walking. Significant nonlinear associations and threshold effects are found between travel distance and travel mode choice, and such nonlinear associations vary significantly across different socioeconomic groups. Policymakers are recommended to understand the group heterogeneity of travel mode choice behavior and to make targeted interventions for different groups with different travel distances. These results can provide beneficial guidance for optimizing the spatial layout of transportation infrastructure and improving the operational efficiency of low-carbon transportation systems. Full article
(This article belongs to the Special Issue Advances in Travel Behavior and Road Traffic Safety)
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Review

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30 pages, 4332 KiB  
Review
Texting While Driving: A Literature Review on Driving Simulator Studies
by Gheorghe-Daniel Voinea, Răzvan Gabriel Boboc, Ioana-Diana Buzdugan, Csaba Antonya and George Yannis
Int. J. Environ. Res. Public Health 2023, 20(5), 4354; https://doi.org/10.3390/ijerph20054354 - 28 Feb 2023
Cited by 7 | Viewed by 3178
Abstract
Road safety is increasingly threatened by distracted driving. Studies have shown that there is a significantly increased risk for a driver of being involved in a car crash due to visual distractions (not watching the road), manual distractions (hands are off the wheel [...] Read more.
Road safety is increasingly threatened by distracted driving. Studies have shown that there is a significantly increased risk for a driver of being involved in a car crash due to visual distractions (not watching the road), manual distractions (hands are off the wheel for other non-driving activities), and cognitive and acoustic distractions (the driver is not focused on the driving task). Driving simulators (DSs) are powerful tools for identifying drivers’ responses to different distracting factors in a safe manner. This paper aims to systematically review simulator-based studies to investigate what types of distractions are introduced when using the phone for texting while driving (TWD), what hardware and measures are used to analyze distraction, and what the impact of using mobile devices to read and write messages while driving is on driving performance. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR) guidelines. A total of 7151 studies were identified in the database search, of which 67 were included in the review, and they were analyzed in order to respond to four research questions. The main findings revealed that TWD distraction has negative effects on driving performance, affecting drivers’ divided attention and concentration, which can lead to potentially life-threatening traffic events. We also provide several recommendations for driving simulators that can ensure high reliability and validity for experiments. This review can serve as a basis for regulators and interested parties to propose restrictions related to using mobile phones in a vehicle and improve road safety. Full article
(This article belongs to the Special Issue Advances in Travel Behavior and Road Traffic Safety)
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