Tracing long-term commute mode choice shifts in Beijing: four years after the COVID-19 pandemic DOI Creative Commons
Yukun Gao,

Pengjun Zhao

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Nov. 18, 2024

Language: Английский

Changes in mode use after residential relocation: Attitudes and the built environment DOI Creative Commons
Katja Schimohr, Eva Heinen, Petter Næss

et al.

Transportation Research Part D Transport and Environment, Journal Year: 2025, Volume and Issue: 139, P. 104556 - 104556

Published: Jan. 5, 2025

Language: Английский

Citations

2

Enhancing public transport use: The influence of soft pull interventions DOI Creative Commons

Zahra Zarabi,

E. Owen D. Waygood,

Lars Olsson

et al.

Transport Policy, Journal Year: 2024, Volume and Issue: 153, P. 190 - 203

Published: May 7, 2024

Public transport (PT) success depends on targeted interventions, ranging first from push measures that discourage car use to pull encourage PT use, and second hard intervene at physical infrastructures soft psychological elements of individuals' behaviors. Focusing soft-pull policy measures, through a scoping review 36 publications, we categorize these into three overarching groups: 1) Internally motivating strategies gradually but firmly instill pro-sustainability attitudes norms in people's mind; 2) Satisfaction increasing primarily help retain current users especially those who feel forced secondary attract new riders by improving the service factors modifying travelers' inaccurate perceptions service; 3) Stimulating PT-use car-habit disrupting such as attractive incentives tailored information auto-drivers give try break their car-habit. This provides an analytical evaluation each approach, offering recommendations for makers providers, along with identifying research gaps suggesting future directions.

Language: Английский

Citations

7

How would employees commute today if they had the same characteristics as employees in 1980? – Using entropy balancing to decompose changes in observed commuting mode choice over time in repeated cross-sections DOI Creative Commons
Nicole Reinfeld, Tobias Hagen

Transportation Research Part A Policy and Practice, Journal Year: 2025, Volume and Issue: 192, P. 104370 - 104370

Published: Jan. 27, 2025

Language: Английский

Citations

0

Agent based modeling and simulation approach to identify and classify the key influential factors for satisfaction of public transport users DOI

Nomfundo Cele,

Alain Y. Kibangou, Walter Musakwa

et al.

Journal of Intelligent Transportation Systems, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: March 21, 2025

The issue of mobility from disadvantaged areas to places interest for work, health care, education, or entertainment poses specific challenges that cannot be approached under the same prism as well-resourced areas. In such areas, commuters are often captive available transportation modes. However, very few studies have focused on identifying key factors influence satisfaction these commuters. this paper, we introduce an agent based modeling and simulation approach, identify classify factors. We show, case study a township in South Africa, speed quality infrastructure crucial factors, while waiting time accessibility improved; safety travel being watched. Then recommendations provided improve service according

Language: Английский

Citations

0

Impacts of the COVID-19 pandemic on the demand for rail commuting in metropolitan areas in Japan DOI
K. Adachi,

Jun Mizutani,

Kazuhiko Hirata

et al.

Case Studies on Transport Policy, Journal Year: 2025, Volume and Issue: unknown, P. 101449 - 101449

Published: April 1, 2025

Language: Английский

Citations

0

Navigating public transport during a pandemic: Key lessons on travel behavior and social equity from two surveys in Tehran DOI

Sina Karimi,

Mahdi Samadzad, Gaële Lesteven

et al.

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 184, P. 104075 - 104075

Published: April 25, 2024

Language: Английский

Citations

2

Spatio-temporal dynamics and recovery of commuting activities via bike-sharing around COVID-19: A case study of New York DOI

Mengjie Gong,

Rui Xin,

Jian Yang

et al.

Journal of Transport Geography, Journal Year: 2024, Volume and Issue: 121, P. 104031 - 104031

Published: Oct. 21, 2024

Language: Английский

Citations

1

Unveiling the spatial heterogeneity of public transit resilience during and after the COVID-19 Pandemic DOI Open Access
Xuan Li, Sugie Lee, Chisun Yoo

et al.

Journal of Public Transportation, Journal Year: 2024, Volume and Issue: 26, P. 100091 - 100091

Published: Jan. 1, 2024

Even though COVID-19 no longer poses a significant threat to public health, it is crucial reflect on this large-scale event design equity and adaptability into services like transportation systems for cities of the future. The case Seoul presents unique opportunity analyse pandemic's impact transit ridership, serving as natural experiment which characterized by implementation non-lockdown policy coupled with proactive management strategies. This study introduces resilience index that magnifies "unaveraged clues" changes in Origin-Destination (OD) pairs quantify spatially unequal response use external shocks from 2020 2023. Our findings reveal spatial heterogeneity OD dynamic change related factors. high during outbreak were often associated long-distance labour-intensive industries, highlighting need cater "captive" travellers outbreaks. Despite overall ridership recovery Seoul, factors car ownership diversity functionality continued influence patterns, suggests should focus improving attractiveness regain lost passengers post-pandemic. These insights are valuable aligning temporal dynamics create equitable sustainable systems.

Language: Английский

Citations

1

Transport and COVID-19: where are we now? DOI Open Access
Ahmed El-Geneidy, Jonas De Vos

Transport Reviews, Journal Year: 2024, Volume and Issue: 44(2), P. 245 - 247

Published: Feb. 2, 2024

Language: Английский

Citations

0

Investigating the association between perceived risk levels and commuting mode shifts after the lifting of the COVID-19 pandemic prevention and control policies DOI Creative Commons

Jiankun Yang,

Yuhang Zhang,

Qiuyan Zhao

et al.

Transportation Research Interdisciplinary Perspectives, Journal Year: 2024, Volume and Issue: 25, P. 101085 - 101085

Published: May 1, 2024

There is a research gap in understanding people's perceived risks and their commute mode shifts after the major shift anti-pandemic policies. Our study aims to reveal relationship between commuters' commuting transfers specific context of canceling We conducted an online sample survey residents 6 neighborhoods one month lifting policies Kunming, China. Measured risk data suggested that score 23 ∼ 30 accounted for 62 % respondents, who were defined as high-perceived group; while 14 22 36 middle-perceived only 2 respondents with 14. Commuting transfer statistics showed 22.2 switched from other modes private cars, which 56.1 came public transportation. Conversely, out 81 car commuters, 3 moved modes. used nonparametric tests find there group differences shifts. Specifically, proportion commuters levels shifted travel cars was 11% larger than levels. Public more likely switch active commuters. The test results also single variables such ownership, distance, age, marital status significantly correlated distribution shifting mode. Furthermore, we employed binary logistic regression model higher levels, longer distances, or ownership conclusion this COVID-19 pandemic prevention control increases level pushes them commuting. It necessary pre-estimating level, pre-judging changes daily behaviors before deciding cancel

Language: Английский

Citations

0