IDEAS home Printed from https://ideas.repec.org/r/taf/transr/v35y2015i3p352-377.html
   My bibliography  Save this item

Response to Travel Information: A Behavioural Review

Citations

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


Cited by:

  1. Tim F. Thormann & Pamela Wicker, 2024. "Environmentally-Friendly Stadium Travel of Football Fans: A Stated Preferences Study," Journal of Sports Economics, , vol. 25(1), pages 3-29, January.
  2. Corinne Mulley & Liang Ma, 2018. "How the longer term success of a social marketing program is influenced by socio-demographics and the built environment," Transportation, Springer, vol. 45(2), pages 291-309, March.
  3. Kucharski, Rafał & Gentile, Guido, 2019. "Simulation of rerouting phenomena in Dynamic Traffic Assignment with the Information Comply Model," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 414-441.
  4. Soza-Parra, Jaime & Raveau, Sebastián & Muñoz, Juan Carlos, 2021. "Travel preferences of public transport users under uneven headways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 61-75.
  5. Engelson, Leonid & Fosgerau, Mogens, 2020. "Scheduling preferences and the value of travel time information," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 256-265.
  6. Li, Tianhao & Chen, Peng & Tian, Ye, 2021. "Personalized incentive-based peak avoidance and drivers’ travel time-savings," Transport Policy, Elsevier, vol. 100(C), pages 68-80.
  7. Pascal Un & Sonia Adelé & Flore Vallet & Jean-Marie Burkhardt, 2022. "How Does My Train Line Run? Elicitation of Six Information-Seeking Profiles of Regular Suburban Train Users," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
  8. Lattarulo, Patrizia & Masucci, Valentino & Pazienza, Maria Grazia, 2019. "Resistance to change: Car use and routines," Transport Policy, Elsevier, vol. 74(C), pages 63-72.
  9. Paulsen, Mads & Rasmussen, Thomas Kjær & Nielsen, Otto Anker, 2021. "Impacts of real-time information levels in public transport: A large-scale case study using an adaptive passenger path choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 155-182.
  10. Surajeet Chakravarty & Todd R. Kaplan & Navonil Mustafee, 2020. "Altering Wait Time Information to Reduce A&E Overcrowding," Discussion Papers 2003, University of Exeter, Department of Economics.
  11. Kasun P Wijayaratna & Vinayak V Dixit & Laurent Denant-Boemont & S Travis Waller, 2017. "An experimental study of the Online Information Paradox: Does en-route information improve road network performance?," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-17, September.
  12. Han, Xiao & Yu, Yun & Gao, Zi-You & Zhang, H. Michael, 2021. "The value of pre-trip information on departure time and route choice in the morning commute under stochastic traffic conditions," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 205-226.
  13. Fosgerau, Mogens & Jiang, Gege, 2019. "Travel time variability and rational inattention," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 1-14.
  14. Meneguzzer, Claudio, 2022. "Day-to-day dynamics in a simple traffic network with mixed direct and contrarian route choice behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
  15. Kim, Eui-Jin & Kim, Youngseo & Jang, Sunghoon & Kim, Dong-Kyu, 2021. "Tourists’ preference on the combination of travel modes under Mobility-as-a-Service environment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 236-255.
  16. Levy, Nadav & Klein, Ido & Ben-Elia, Eran, 2018. "Emergence of cooperation and a fair system optimum in road networks: A game-theoretic and agent-based modelling approach," Research in Transportation Economics, Elsevier, vol. 68(C), pages 46-55.
  17. Ding-Mastera, Jing & Gao, Song & Jenelius, Erik & Rahmani, Mahmood & Ben-Akiva, Moshe, 2019. "A latent-class adaptive routing choice model in stochastic time-dependent networks," Transportation Research Part B: Methodological, Elsevier, vol. 124(C), pages 1-17.
  18. Lyons, Glenn & Hammond, Paul & Mackay, Kate, 2019. "The importance of user perspective in the evolution of MaaS," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 22-36.
  19. Li, Zheng & Hensher, David A. & Zeng, Jingjing, 2022. "Travel choice behaviour under uncertainty in real-market settings: A source-dependent utility approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
  20. Hamidi, Zahra, 2021. "Decomposing cycling potentials employing the motility framework," Journal of Transport Geography, Elsevier, vol. 91(C).
  21. Xiao-Yan Sun & Zhong-Jun Ding & Guo-Hua Huang, 2016. "Effect of density feedback on the two-route traffic scenario with bottleneck," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(06), pages 1-12, June.
  22. Barr, Stewart & Lampkin, Sal & Dawkins, Laura & Williamson, Daniel, 2022. "‘I feel the weather and you just know’. Narrating the dynamics of commuter mobility choices," Journal of Transport Geography, Elsevier, vol. 103(C).
  23. Xiao Han & Yun Yu & Bin Jia & Zi‐You Gao & Rui Jiang & H. Michael Zhang, 2021. "Coordination Behavior in Mode Choice: Laboratory Study of Equilibrium Transformation and Selection," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3635-3656, October.
  24. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
  25. Bifulco, Gennaro N. & Cantarella, Giulio E. & Simonelli, Fulvio & Velonà, Pietro, 2016. "Advanced traveller information systems under recurrent traffic conditions: Network equilibrium and stability," Transportation Research Part B: Methodological, Elsevier, vol. 92(PA), pages 73-87.
  26. Tang, Yue & Gao, Song & Ben-Elia, Eran, 2017. "An exploratory study of instance-based learning for route choice with random travel times," Journal of choice modelling, Elsevier, vol. 24(C), pages 22-35.
  27. Eran Ben-Elia & Feng Zhen, 2018. "ICT, activity space–time and mobility: new insights, new models, new methodologies," Transportation, Springer, vol. 45(2), pages 267-272, March.
  28. Sun, Xiaoyan & Li, Wentao & Jiang, Rui & Zhu, Yubing & Chen, Dong, 2022. "Study on the influence of road capacity and information feedback on urban traffic system equilibrium state," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
  29. 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.
  30. Lyons, Glenn & Hammond, Paul & Mackay, Kate, 2020. "Reprint of: The importance of user perspective in the evolution of MaaS," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 20-34.
  31. Wijayaratna, Kasun P. & Dixit, Vinayak V., 2016. "Impact of information on risk attitudes: Implications on valuation of reliability and information," Journal of choice modelling, Elsevier, vol. 20(C), pages 16-34.
  32. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.