IDEAS home Printed from https://ideas.repec.org/r/kap/transp/v36y2009i4p455-467.html
   My bibliography  Save this item

Grouping travelers on the basis of their different car and transit levels of use

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Molin, Eric & Mokhtarian, Patricia & Kroesen, Maarten, 2016. "Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 14-29.
  2. Yuan, Yalong & Yang, Min & Feng, Tao & Rasouli, Soora & Li, Dawei & Ruan, Xinpei, 2021. "Heterogeneity in passenger satisfaction with air-rail integration services: Results of a finite mixture partial least squares model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 133-158.
  3. Vij, Akshay & Gorripaty, Sreeta & Walker, Joan L., 2017. "From trend spotting to trend ’splaining: Understanding modal preference shifts in the San Francisco Bay Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 238-258.
  4. Miriam Pirra & Ruggero G. Pensa, 2019. "Comparing Transport Quality Perception among Different Travellers in European Cities through Co-Cluster Analysis," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
  5. Große, Juliane & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Fertner, Christian, 2018. "Exploring the role of daily “modality styles” and urban structure in holidays and longer weekend trips: Travel behaviour of urban and peri-urban residents in Greater Copenhagen," Journal of Transport Geography, Elsevier, vol. 69(C), pages 138-149.
  6. Creemers, Lieve & Tormans, Hans & Bellemans, Tom & Janssens, Davy & Wets, Geert & Cools, Mario, 2015. "Knowledge of the concept Light Rail Transit: Exploring its relevance and identification of the determinants of various knowledge levels," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 31-43.
  7. Ali Ardeshiri & Akshay Vij, 2019. "A lifestyle-based model of household neighbourhood location and individual travel mode choice behaviours," Papers 1902.01986, arXiv.org, revised Nov 2019.
  8. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
  9. Paula Vasquez-Henriquez & Eduardo Graells-Garrido & Diego Caro, 2020. "Tweets on the Go: Gender Differences in Transport Perception and Its Discussion on Social Media," Sustainability, MDPI, vol. 12(13), pages 1-21, July.
  10. Hebes, Paul & Menge, Julius & Lenz, Barbara, 2013. "Service-related traffic: An analysis of the influence of firms on travel behaviour," Transport Policy, Elsevier, vol. 26(C), pages 43-53.
  11. Klinger, Thomas, 2017. "Moving from monomodality to multimodality? Changes in mode choice of new residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 221-237.
  12. Circella, Giovanni & Alemi, Farzad & Tiedeman, Kate & Berliner, Rosaria M & Lee, Yongsung & Fulton, Lew & Mokhtarian, Patricia L & Handy , Susan, 2017. "What Affects Millennials’ Mobility? PART II: The Impact of Residential Location, Individual Preferences and Lifestyles on Young Adults’ Travel Behavior in California," Institute of Transportation Studies, Working Paper Series qt5kc117kj, Institute of Transportation Studies, UC Davis.
  13. Jie Gao & Dick Ettema & Marco Helbich & Carlijn B. M. Kamphuis, 2019. "Travel mode attitudes, urban context, and demographics: do they interact differently for bicycle commuting and cycling for other purposes?," Transportation, Springer, vol. 46(6), pages 2441-2463, December.
  14. Xuemei Fu, 2021. "How habit moderates the commute mode decision process: integration of the theory of planned behavior and latent class choice model," Transportation, Springer, vol. 48(5), pages 2681-2707, October.
  15. Diana, Marco & Pronello, Cristina, 2010. "Traveler segmentation strategy with nominal variables through correspondence analysis," Transport Policy, Elsevier, vol. 17(3), pages 183-190, May.
  16. Sanjay Gupta & Kushagra Sinha, 2022. "Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
  17. Abenoza, Roberto F. & Cats, Oded & Susilo, Yusak O., 2017. "Travel satisfaction with public transport: Determinants, user classes, regional disparities and their evolution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 64-84.
  18. Marco De Angelis & Luca Mantecchini & Luca Pietrantoni, 2021. "A Cluster Analysis of University Commuters: Attitudes, Personal Norms and Constraints, and Travel Satisfaction," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
  19. Faber, R.M. & Jonkeren, O. & de Haas, M.C. & Molin, E.J.E. & Kroesen, M., 2022. "Inferring modality styles by revealing mode choice heterogeneity in response to weather conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 282-295.
  20. Jochem, Patrick & Lisson, Christopher & Khanna, Arpita Asha, 2021. "The role of coordination costs in mode choice decisions: A case study of German cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 31-44.
  21. Rafiq, Rezwana & McNally, Michael G., 2021. "Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 1-18.
  22. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour," Transportation, Springer, vol. 45(3), pages 789-825, May.
  23. Ardeshiri, Ali & Vij, Akshay, 2019. "Lifestyles, residential location, and transport mode use: A hierarchical latent class choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 342-359.
  24. Matteo della Mura & Serena Failla & Nicolò Gori & Alfonso Micucci & Filippo Paganelli, 2022. "E-Scooter Presence in Urban Areas: Are Consistent Rules, Paying Attention and Smooth Infrastructure Enough for Safety?," Sustainability, MDPI, vol. 14(21), pages 1-36, November.
  25. Pani, Agnivesh & Sahu, Prasanta K. & Tavasszy, Lóránt & Mishra, Sabya, 2023. "Freight activity-travel pattern generation (FAPG) as an enhancement of freight (trip) generation modelling: Methodology and case study," Transport Policy, Elsevier, vol. 144(C), pages 34-48.
  26. Luo, Shuli & He, Sylvia Y. & Grant-Muller, Susan & Song, Linqi, 2023. "Influential factors in customer satisfaction of transit services: Using crowdsourced data to capture the heterogeneity across individuals, space and time," Transport Policy, Elsevier, vol. 131(C), pages 173-183.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.