Travel Behavior in the Era of Future Public Transport Systems

A special issue of Future Transportation (ISSN 2673-7590).

Deadline for manuscript submissions: 15 September 2026 | Viewed by 2752

Special Issue Editors


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Guest Editor
ERAdiate, University of Žilina (UNIZA), Zilina, Slovakia
Interests: travel behavior analysis; mode choice modeling; value of travel time; sustainable mobility planning; gender and transport; shared and on-demand mobility; automated mobility; public transport systems; travel demand modelling and management

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Guest Editor
Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino, 10125 Torino, Italy
Interests: travel behavior; intelligent transport systems; smart and sustainable mobility
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Special Issue Information

Dear Colleagues,

The transformation of public transport systems through emerging technologies and evolving mobility solutions is redefining travel behavior. Innovations such as automated public transport, Mobility-as-a-Service (MaaS), and AI-driven transport management are shaping both urban and urban–rural mobility patterns. These changes bring both opportunities and challenges, influencing travel behavior, accessibility, environmental impacts, and the overall efficiency of transport systems. Therefore, understanding these shifts is critical in designing efficient, sustainable, and more adaptive user-centric public transport systems.

Aim and Scope of the Special Issue

This Special Issue will explore the dynamic relationship between future public transport developments and individual travel behaviors. It will present a comprehensive understanding of how advancements in technology, infrastructure, and policy influence commuting habits, modal shifts, and mobility preferences. The contributions to this Special Issue will help shape future policies and strategies to enhance the effectiveness, usability, and inclusivity of public transport systems.

Suggested Themes

We welcome original research articles and reviews on topics including, but not limited to, the following:

  • Public perceptions, trust, and acceptance of emerging transport technologies, with special attention given to the impacts of automated and connected public transport on travel behavior;
  • The role of public transport in Mobility-as-a-Service (MaaS) and potential business models;
  • Behavioral adaptations to demand-responsive transport (DRT);
  • The role of digitalization, smart mobility solutions, and AI in shaping future public transport systems;
  • Accessibility, sustainability, equity, and inclusion in future public transport solutions for diverse communities;
  • Addressing the gender gap in public transport service design and implementation.

This Special Issue will foster discussions among researchers, practitioners, and policymakers, facilitating the exchange of knowledge to shape the future of public transport systems.

We look forward to receiving your contributions.

Dr. Ghadir Pourhashem
Prof. Dr. Cristina Pronello
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 250 words) can be sent to the Editorial Office for assessment.

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. Future Transportation 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 1200 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

  • smart mobility solutions and digital enablers for public transport
  • AI in public transport
  • accessibility, equity, and sustainability in public transport
  • gender gap in public transport
  • nudging and public transport use

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Published Papers (1 paper)

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Research

29 pages, 940 KB  
Article
Investigating Willingness to Shift to Formal Sustainable Public Transportation in Developing Cities: A Correlated Random Parameters Bivariate Probit Model
by Ziyad Shahin, Ahmed Mahmoud Darwish and Mohamed Shaaban Alfiqi
Future Transp. 2026, 6(2), 72; https://doi.org/10.3390/futuretransp6020072 - 29 Mar 2026
Viewed by 1763
Abstract
Informal public transportation remains the backbone of urban mobility in many developing cities. While these systems offer flexible and affordable services, they are often associated with safety issues, unreliability, congestion, and environmental impacts. Consequently, transitioning travelers toward formal public transportation is a key [...] Read more.
Informal public transportation remains the backbone of urban mobility in many developing cities. While these systems offer flexible and affordable services, they are often associated with safety issues, unreliability, congestion, and environmental impacts. Consequently, transitioning travelers toward formal public transportation is a key objective for sustainable transport planning. This study investigates travelers’ willingness to shift from their current travel modes to a proposed Metro system in Alexandria, Egypt. The analysis uses stated preference data collected through interviews that presented respondents with multiple service scenarios. A correlated random parameters bivariate probit model with heterogeneity in means is estimated to capture interdependence between responses. The results reveal strong and statistically significant cross-equation error correlations, confirming that decisions are not independent and supporting the use of a joint modeling approach. Empirical results indicate that willingness to shift is influenced by socio-demographic characteristics, trip attributes, and current travel conditions. Female travelers are more sensitive to waiting time, while low-income and older individuals are less likely to shift across scenarios. Physical accessibility, especially walkability to and from stations, emerges as the most influential factor in encouraging adoption. These findings provide policymakers with actionable insights for designing inclusive, accessible, and sustainable public transportation systems. Full article
(This article belongs to the Special Issue Travel Behavior in the Era of Future Public Transport Systems)
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