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Travel Behavior Research and Sustainable Urban and Transportation Planning

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

Deadline for manuscript submissions: closed (15 June 2021) | Viewed by 7895

Special Issue Editors


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Guest Editor
Department of Built Environment, Eindhoven University of Technology, the Netherlands
Interests: MaaS; individual acceptance of mobility innovation; modeling travel demand; smart and sustainable mobility

E-Mail Website
Guest Editor
Department of Built Environment, Eindhoven University of Technology, The Netherlands
Interests: modeling travel demand; MaaS; consumer decision processes

Special Issue Information

Dear Colleagues,

Initiatives to support sustainable urban and transportation planning have been high on the policy agenda of many governments across the world for several decades. Recently, the discussion has gained renewed momentum due to the intensified debate about climate change and the increasing urgency to provide solutions to the worsening urban and transportation problems. Classic initiatives have been based on design concepts about built environments, improved public transportation services in sync with modern transportation management schemes, campaigns aimed at attitudinal change, and pricing measures. The ubiquitous availability of mobile technology has opened up a plethora of new transportation services, such as shared vehicles, ride hailing, and mobility as a service, based on new digital platform technologies and new business models copied from the ICT industry. Although the number of studies on consumer adoption of new tech-enabled mobility services has recently increased, few have considered the consequent change in activity-travel patterns and the effects on indicators of sustainability. This Special Issue calls for original papers addressing this topic, based on advanced state-of-the-art models and rigorous empirical evidence. We applaud a diversity of conceptual and theoretical orientations.

Ms. Valeria Caiati
Prof. Dr. Soora Rasouli
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.

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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

  • sustainable transportation
  • travel behavior
  • new mobility services
  • adoption and diffusion
  • changing activity-travel patterns

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Published Papers (2 papers)

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Research

16 pages, 584 KiB  
Article
Using Probability Distributions for Projecting Changes in Travel Behavior
by Andreas Radke and Matthias Heinrichs
Sustainability 2021, 13(18), 10101; https://doi.org/10.3390/su131810101 - 9 Sep 2021
Viewed by 2066
Abstract
Mobility is a must for human life on this planet, because important activities like working or shopping cannot be done from home for everyone. Present modes of transports contributes significantly to green house gas emissions while the efforts to reduce these emissions can [...] Read more.
Mobility is a must for human life on this planet, because important activities like working or shopping cannot be done from home for everyone. Present modes of transports contributes significantly to green house gas emissions while the efforts to reduce these emissions can be improved in many countries. Pathways to a more sustainable form of mobility can be modelled using travel demand models to aid decision makers. However, to project human behavior into the future one should analyze the changes in the past to understand the drivers in mobility change. Mobility surveys provide sets of activity diaries, which show changes in travel behavior over time. Those activity diaries are one of the inputs in activity-based demand generation models like travel activity pattern simulation (TAPAS). This paper shows a method of using probability distributions between person and diary groups. It offers an opportunity for an increased heterogeneity in travel behavior without sacrificing too much accuracy. Additionally it will present the use case of temporal back- and forecasting of changes in activity choices of existing mobility survey data. The results show the possibilities within this approach together with its limits and pitfalls. Full article
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16 pages, 4733 KiB  
Article
Changes in Passengers’ Travel Behavior Due to COVID-19
by Dong-Gyun Ku, Jung-Sik Um, Young-Ji Byon, Joo-Young Kim and Seung-Jae Lee
Sustainability 2021, 13(14), 7974; https://doi.org/10.3390/su13147974 - 16 Jul 2021
Cited by 40 | Viewed by 4867
Abstract
The COVID-19 outbreak in 2020 has changed the way people travel due to its highly contagious nature. In this study, changes in the travel behavior of passengers due to COVID-19 in the first half of 2020 were examined. To determine whether COVID-19 has [...] Read more.
The COVID-19 outbreak in 2020 has changed the way people travel due to its highly contagious nature. In this study, changes in the travel behavior of passengers due to COVID-19 in the first half of 2020 were examined. To determine whether COVID-19 has affected the use of transportation by passengers, paired t-tests were conducted between the passenger volume of private vehicles in Seoul prior to and after the pandemic. Additionally, the passenger occupancy rate of different modes of transportation during the similar time periods were compared and analyzed to identify the changes in monthly usage rate for each mode. In the case of private vehicles and public bicycles, the usage rates have recovered or increased when compared to those of before the pandemic. Conversely, bus and rail passenger service rates have decreased from the previous year before the pandemic. Furthermore, it is found that existing bus and rail users have switched to the private auto mode due to COVID-19. Based on the results, traffic patterns of travelers after the outbreak and implications responding to the pandemic are discussed. Full article
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