Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.0
2.6
Journals
WEVJ
Special Issues
Changes in Travel Behavior When Autonomous Vehicles Are Integrated into...
share announcement

Changes in Travel Behavior When Autonomous Vehicles Are Integrated into the Existing Transport System in Urban Cities

A special issue of World Electric Vehicle Journal (ISSN 2032-6653).

Deadline for manuscript submissions: 31 August 2025 | Viewed by 5424

Special Issue Editors

Dr. Jamil Hamadneh

E-Mail Website
Guest Editor
Buildings, Roads and Space Engineering Department, Engineering and Technology College, Palestine Technical University-Kadoorie, Tukarem, Palestine
Interests: autonomous vehicles; smart transport; intelligent transport systems; urban mobility; sustainability; travel behavior; micro mobility; mobility as a service; urban planning; transport engineering; transport modeling; transport planning; transport policy; multi-agent transport simulations; pedestrian safety; demand analysis
Dr. Jairo Ortega Ortega

E-Mail Website
Guest Editor
Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary
Interests: urban mobility; autonomous vehicle; park and ride; transport engineering; automotive engineering;transport planning; transport policy; land use optimization

Special Issue Information

Dear Colleagues,

People’s travel behavior is affected by the improvement of technology, especially in car manufacturing. Mobility has been changing fast due to the fast development of technology in the vehicle industry. One of the outputs of technological development is autonomous vehicles (AVs). The introduction of AVs to the market will affect the behavior of people due to their different characteristics compared to conventional vehicles. In these new circumstances, people’s role when driving is going to change because AVs have full control of the driving process; thus, drivers will be converted into passengers.  Stakeholders in the vehicle industry affect the introduction of AVs to the market. In this Special Issue, users as the main actors who are affected by the changes in urban design are the focus of research. Due to the absence of empirical studies on the impact of AVs on the travel behavior, different approaches can be applied to study the behavior of travelers when AVs are on the market.

This Special Issue covers novel contributions that discuss the impacts of any use of AVs on the travel behavior of people in urban cities. Topics of interest include, but are not limited to, the theoretical background, framework, simulations, modeling, prediction, estimation, systematic review, and evaluation. Moreover, the weaknesses of AVs in the transport system are an underdeveloped research area in the literature.

Dr. Jamil Hamadneh
Dr. Jairo Ortega Ortega
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. World Electric Vehicle Journal 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 1400 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

  • autonomous vehicles
  • sustainable transport mode
  • transport modeling
  • simulation
  • discrete choice modeling
  • the value of travel time
  • travel behavior
  • activity chain optimization
  • onboard activities
  • stakeholders

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Other

27 pages, 1973 KiB  
Article
The Impact of Travel Behavior Factors on the Acceptance of Carsharing and Autonomous Vehicles: A Machine Learning Analysis
by Jamil Hamadneh and Noura Hamdan
World Electr. Veh. J. 2025, 16(7), 352; https://doi.org/10.3390/wevj16070352 - 25 Jun 2025
Viewed by 139
Abstract
The rapid evolution of the transport industry requires a deep understanding of user preferences for emerging mobility solutions, particularly carsharing (CS) and autonomous vehicles (AVs). This study employs machine learning techniques to model transport mode choice, with a focus on traffic safety perceptions [...] Read more.
The rapid evolution of the transport industry requires a deep understanding of user preferences for emerging mobility solutions, particularly carsharing (CS) and autonomous vehicles (AVs). This study employs machine learning techniques to model transport mode choice, with a focus on traffic safety perceptions of people towards CS and privately shared autonomous vehicles (PSAVs). A stated preference (SP) survey is conducted to collect data on travel behavior, incorporating key attributes such as trip time, trip cost, waiting and walking time, privacy, cybersecurity, and surveillance concerns. Sociodemographic factors, such as income, gender, education, employment status, and trip purpose, are also examined. Three gradient boosting models—CatBoost, XGBoost, and LightGBM are applied to classify user choices. The performance of models is evaluated using accuracy, precision, and F1-score. The XGBoost demonstrates the highest accuracy (77.174%) and effectively captures the complexity of mode choice behavior. The results indicate that CS users are easily classified, while PSAV users present greater classification challenges due to variations in safety perceptions and technological acceptance. From a traffic safety perspective, the results emphasize that companionship, comfort, privacy, cybersecurity, safety in using CS and PSAVs, and surveillance significantly influence CS and PSAV acceptance, which leads to the importance of trust in adopting AVs. The findings suggest that ensuring public trust occurs through robust safety regulations and transparent data security policies. Furthermore, the envisaged benefits of shared autonomous mobility are alleviating congestion and promoting sustainability. Full article
(This article belongs to the Special Issue Changes in Travel Behavior When Autonomous Vehicles Are Integrated into the Existing Transport System in Urban Cities)
►▼ Show Figures

Figure 1

19 pages, 882 KiB  
Article
Determinants of Consumers’ Intention to Use Autonomous Delivery Vehicles (ADVs): A Fuzzy-Set Qualitative Comparative Analysis Approach
by Shuo Wang and Liwei Lin
World Electr. Veh. J. 2024, 15(12), 559; https://doi.org/10.3390/wevj15120559 - 2 Dec 2024
Viewed by 1728
Abstract
While numerous studies have investigated the factors associated with autonomous delivery vehicles (ADVs), there remains a paucity of research concerning consumers’ intentions to utilize these technologies. Prior research has predominantly concentrated on the effects of individual variables on outcomes, often neglecting the synergistic [...] Read more.
While numerous studies have investigated the factors associated with autonomous delivery vehicles (ADVs), there remains a paucity of research concerning consumers’ intentions to utilize these technologies. Prior research has predominantly concentrated on the effects of individual variables on outcomes, often neglecting the synergistic influence of various factors on consumer intention. This study seeks to examine the collective impact of pro-environmental motives (including awareness of consequences and ascription of responsibility), normative motives (such as subjective norms and personal norms), risk factors (COVID-19 risk and delivery risk), and individual characteristics (including trust in technology and innovation) on consumers’ intentions to adopt ADVs. Employing a fuzzy-set qualitative comparative analysis (fsQCA), this research analyzed data from 561 Chinese consumers collected via an online platform. The results yielded six distinct solutions, indicating that multiple combinations of antecedent factors could lead to a higher intention to adopt compared to any singular factor. These findings offer significant theoretical and practical implications for the effective implementation of ADVs in the last-mile delivery sector. Full article
(This article belongs to the Special Issue Changes in Travel Behavior When Autonomous Vehicles Are Integrated into the Existing Transport System in Urban Cities)
►▼ Show Figures

Figure 1

Other

Jump to: Research

13 pages, 527 KiB  
Systematic Review
Backcasting Analysis of Autonomous Vehicle Implementation: A Systematic Review
by Fabricio Esteban Espinoza-Molina, Juan Diego Valladolid, Pablo Barbecho Bautista, Emilio Quinde, Ruffo Villa Uvidia, Javier Stalin Vazquez Salazar and Gustavo Javier Aguilar Miranda
World Electr. Veh. J. 2024, 15(9), 393; https://doi.org/10.3390/wevj15090393 - 28 Aug 2024
Viewed by 1897
Abstract
The introduction of autonomous vehicles (AVs) has the potential to drastically change society, planning, design, and development strategies. This study uses the PRISMA protocol to carry out a systematic literature review, focusing on the backcasting method as an analytic tool. By examining. 21 [...] Read more.
The introduction of autonomous vehicles (AVs) has the potential to drastically change society, planning, design, and development strategies. This study uses the PRISMA protocol to carry out a systematic literature review, focusing on the backcasting method as an analytic tool. By examining. 21 studies published between 2003 and 2024, this paper highlights the phases of backcasting: visioning, policy packaging, and appraisal, and identifies critical factors necessary for the successful integration of AVs. Visioning for future driverless cities includes high-quality urban areas, active mobility, and innovative developments. Policies and Packaging suggested a focus on restricting vehicular access, transit-oriented development, and encouraging public transportation. Appraisal reveals skepticism about the positive impacts of AVs, urging policies that limit access to urban areas and promote sustainable modes of transportation. The main contribution of this study lies in its comprehensive application of backcasting to AV implementation, offering a structured approach to envisioning future urban scenarios, formulating supportive policies, and evaluating their impact. This analysis provides a solid foundation for future research, urging us to explore the intersection between AVs, citizen participation, and environmental sustainability to achieve more efficient and sustainable cities. Full article
(This article belongs to the Special Issue Changes in Travel Behavior When Autonomous Vehicles Are Integrated into the Existing Transport System in Urban Cities)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop