| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Analysis of urban travel time and travel distance: A fully parametric bivariate hazard-based duration modelling approach with correlated grouped random parameters
|
Ahmed, Sheikh Shahriar
|
|
|
31 |
C |
p. 271-283
|
artikel
|
| 2 |
Are men or women happier commuters? A study on the determinants of travel mode dissonance and travel satisfaction for dual-earner couples with school-age children in Ganyu, China
|
Hu, Yang
|
|
|
31 |
C |
p. 131-140
|
artikel
|
| 3 |
Are vehicle on-demand and shared services a favorable solution for the first and last-mile mobility: Evidence from China
|
Ren, Xiaohong
|
|
|
31 |
C |
p. 386-398
|
artikel
|
| 4 |
A systematic literature review of Mobility as a Service: Examining the socio-technical factors in MaaS adoption and bundling packages
|
Kriswardhana, Willy
|
|
|
31 |
C |
p. 232-243
|
artikel
|
| 5 |
Bus network redesigns and public transit equity analysis: Evaluating system-wide changes in Richmond, Virginia
|
Liu, Haijing
|
|
|
31 |
C |
p. 151-165
|
artikel
|
| 6 |
Commuting performance in Shanghai: Efficiency and orderliness
|
Yue, Liying
|
|
|
31 |
C |
p. 223-231
|
artikel
|
| 7 |
COVID-19, traffic demand, and activity restriction in China: A national assessment
|
Zhang, Zhao
|
|
|
31 |
C |
p. 10-23
|
artikel
|
| 8 |
Demand responsive transport: New insights from peri-urban experiences
|
Thao, Vu Thi
|
|
|
31 |
C |
p. 141-150
|
artikel
|
| 9 |
Determining factors affecting public bike ridership and its spatial change before and after COVID-19
|
Kim, Jinman
|
|
|
31 |
C |
p. 24-36
|
artikel
|
| 10 |
Disparities in the “who” and “where” of the vehicle purchase decision-making process for lower-income households
|
Pierce, Gregory
|
|
|
31 |
C |
p. 363-373
|
artikel
|
| 11 |
Dynamic community detection considering daily rhythms of human mobility
|
Zhao, Yuhui
|
|
|
31 |
C |
p. 209-222
|
artikel
|
| 12 |
Editorial Board
|
|
|
|
31 |
C |
p. ii
|
artikel
|
| 13 |
Estimating inter-regional mobility during disruption: Comparing and combining different data sources
|
Heydari, Sara
|
|
|
31 |
C |
p. 93-105
|
artikel
|
| 14 |
Explore public acceptance of autonomous buses: An integrated model of UTAUT, TTF and trust
|
Cai, Lanhui
|
|
|
31 |
C |
p. 120-130
|
artikel
|
| 15 |
Exploring the associations between E-shopping and the share of shopping trip frequency and travelled time over total daily travel demand
|
Aldo, Arranz-López
|
|
|
31 |
C |
p. 202-208
|
artikel
|
| 16 |
Gender differentials in travel behavior among TOD neighborhoods: Contributions of built environment and residential self-selection
|
Patnala, Phani Kumar
|
|
|
31 |
C |
p. 333-348
|
artikel
|
| 17 |
Household structure and gender disparities in out-of-home time use
|
Hu, Lingqian
|
|
|
31 |
C |
p. 106-119
|
artikel
|
| 18 |
Impacts of the COVID-19 pandemic on the profile and preferences of urban mobility in Brazil: Challenges and opportunities
|
Oestreich, Letícia
|
|
|
31 |
C |
p. 312-322
|
artikel
|
| 19 |
In-person, pick up or delivery? Evolving patterns of household spending behavior through the early reopening phase of the COVID-19 pandemic
|
Said, Maher
|
|
|
31 |
C |
p. 295-311
|
artikel
|
| 20 |
Investigating factors that affect perceived quality of service on pedestrians-cyclists shared infrastructure
|
Nikiforiadis, Andreas
|
|
|
31 |
C |
p. 323-332
|
artikel
|
| 21 |
Leisure activity variety seeking as an instrumental outcome of social capital
|
Luong, Trang
|
|
|
31 |
C |
p. 254-270
|
artikel
|
| 22 |
Leveraging explainable artificial intelligence and big trip data to understand factors influencing willingness to ridesharing
|
Li, Ziqi
|
|
|
31 |
C |
p. 284-294
|
artikel
|
| 23 |
Modeling daily in-home activities using machine learning techniques
|
Khalil, Mohamad Ali
|
|
|
31 |
C |
p. 374-385
|
artikel
|
| 24 |
Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction
|
Ullah, Irfan
|
|
|
31 |
C |
p. 78-92
|
artikel
|
| 25 |
Post COVID-19 pandemic recovery of intracity human mobility in Wuhan: Spatiotemporal characteristic and driving mechanism
|
An, Rui
|
|
|
31 |
C |
p. 37-48
|
artikel
|
| 26 |
Reactions of the public transport sector to the COVID-19 pandemic. Insights from Belgium
|
Tori, Sara
|
|
|
31 |
C |
p. 244-253
|
artikel
|
| 27 |
Sustainable mobility persuasion via smartphone apps: Lessons from a Swiss case study on how to design point-based rewarding systems
|
Cellina, Francesca
|
|
|
31 |
C |
p. 178-188
|
artikel
|
| 28 |
The ambivalence of independent mobility: Balancing perceived risks and expected benefits of walking to school in inner-city neighborhoods
|
Eisenlohr, Andrew
|
|
|
31 |
C |
p. 49-62
|
artikel
|
| 29 |
The impacts of weather conditions on metro ridership: An empirical study from three mega cities in China
|
Jiang, Shixiong
|
|
|
31 |
C |
p. 166-177
|
artikel
|
| 30 |
The job of public transport, ride-hailing and delivery drivers: Conditions during the COVID-19 pandemic and implications for a post-pandemic future
|
Fielbaum, Andrés
|
|
|
31 |
C |
p. 63-77
|
artikel
|
| 31 |
Understanding mobility change in response to COVID-19: A Los Angeles case study
|
Lu, Yougeng
|
|
|
31 |
C |
p. 189-201
|
artikel
|
| 32 |
Understanding short-distance travel to school in Singapore: A data-driven approach
|
Benita, Francisco
|
|
|
31 |
C |
p. 349-362
|
artikel
|
| 33 |
Understanding the relationship between mode and destination choices for personal out-of-town travel
|
Aultman-Hall, Lisa
|
|
|
31 |
C |
p. 399-409
|
artikel
|
| 34 |
Using drone technology to collect school transportation data
|
Hodgson, Cody
|
|
|
31 |
C |
p. 1-9
|
artikel
|
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