IDEAS home Printed from https://ideas.repec.org/r/eee/transa/v45y2011i7p567-582.html
   My bibliography  Save this item

Rewarding rush-hour avoidance: A study of commuters' travel behavior

Citations

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


Cited by:

  1. Tian, Ye & Chiu, Yi-Chang & Sun, Jian, 2019. "Understanding behavioral effects of tradable mobility credit scheme: An experimental economics approach," Transport Policy, Elsevier, vol. 81(C), pages 1-11.
  2. Zhang, Zheng & Fujii, Hidemichi & Managi, Shunsuke, 2014. "How does Commuting Behavior Change Due to Incentives? An Empirical Study of the Beijing Subway System," MPRA Paper 54691, University Library of Munich, Germany.
  3. 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.
  4. Chen, Linxi & Yang, Hai, 2012. "Managing congestion and emissions in road networks with tolls and rebates," Transportation Research Part B: Methodological, Elsevier, vol. 46(8), pages 933-948.
  5. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2022. "Study on Peak Travel Avoidance Behavior of Car Travelers during Holidays," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
  6. Zhang, Yun & Stopher, Peter & Halling, Belinda, 2013. "Evaluation of south-Australia's TravelSmart project: Changes in community's attitudes to travel," Transport Policy, Elsevier, vol. 26(C), pages 15-22.
  7. Dick Ettema, 2018. "Apps, activities and travel: an conceptual exploration based on activity theory," Transportation, Springer, vol. 45(2), pages 273-290, March.
  8. Ben-Dor, Golan & Ogulenko, Aleksey & Klein, Ido & Ben-Elia, Eran & Benenson, Itzhak, 2024. "Simulation-based policy evaluation of monetary car driving disincentives in Jerusalem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
  9. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2019. "A Study of Tourists’ Holiday Rush-Hour Avoidance Travel Behavior Considering Psychographic Segmentation," Sustainability, MDPI, vol. 11(13), pages 1-20, July.
  10. Yen, Barbara T.H. & Mulley, Corinne & Meza, Gerardo, 2023. "Exploring the attitudes and perceptions influencing user participation in gamification schemes for TDM," Research in Transportation Economics, Elsevier, vol. 99(C).
  11. Li, Changle & Ma, Jiao & Luan, Tom H. & Zhou, Xun & Xiong, Lei, 2018. "An incentive-based optimizing strategy of service frequency for an urban rail transit system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 106-122.
  12. Knockaert, Jasper & Tseng, Yin-Yen & Verhoef, Erik T. & Rouwendal, Jan, 2012. "The Spitsmijden experiment: A reward to battle congestion," Transport Policy, Elsevier, vol. 24(C), pages 260-272.
  13. 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.
  14. Jacqueline Arriagada & Claudio Mena & Marcela Munizaga & Daniel Schwartz, 2023. "The effect of economic incentives and cooperation messages on user participation in crowdsourced public transport technologies," Transportation, Springer, vol. 50(5), pages 1585-1612, October.
  15. Ghimire, Ramesh & Lancelin, Colby, 2019. "The relationship between financial incentives provided by employers and commuters' decision to use transit: Results from the Atlanta Regional Household Travel Survey," Transport Policy, Elsevier, vol. 74(C), pages 103-113.
  16. Tian, Ye & Li, Yudi & Sun, Jian & Ye, Jianhong, 2021. "Characterizing favored users of incentive-based traffic demand management program," Transport Policy, Elsevier, vol. 105(C), pages 94-102.
  17. Munch, Emmanuel & Proulhac, Laurent, 2023. "Is work hours' flexibility really a solution to morning peak period congestion? Comparative analysis between Paris and San Francisco," Journal of Transport Geography, Elsevier, vol. 113(C).
  18. Anupriya, & Graham, Daniel J. & Hörcher, Daniel & Anderson, Richard J. & Bansal, Prateek, 2020. "Quantifying the ex-post causal impact of differential pricing on commuter trip scheduling in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 16-34.
  19. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Activity-travel adaptations in response to a tradable driving credits scheme," Transport Policy, Elsevier, vol. 72(C), pages 79-88.
  20. Lindsey, Robin & Daniel, Terry & Gisches, Eyran & Rapoport, Amnon, 2014. "Pre-trip information and route-choice decisions with stochastic travel conditions: Theory," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 187-207.
  21. Wang, Bing & Li, Shuai & Wang, Qi & Lin, Zhenhong, 2020. "Understanding travelers’ mobility decisions in response to customer incentives," Transport Policy, Elsevier, vol. 97(C), pages 113-120.
  22. Ettema, Dick & Gärling, Tommy & Olsson, Lars E. & Friman, Margareta & Moerdijk, Sjef, 2013. "The road to happiness: Measuring Dutch car drivers’ satisfaction with travel," Transport Policy, Elsevier, vol. 27(C), pages 171-178.
  23. An, Qinhe & Fu, Xiao & Huang, Di & Cheng, Qixiu & Liu, Zhiyuan, 2020. "Analysis of adding-runs strategy for peak-hour regular bus services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
  24. Yang, Min & Wu, Jingxian & Rasouli, Soora & Cirillo, Cinzia & Li, Dawei, 2017. "Exploring the impact of residential relocation on modal shift in commute trips: Evidence from a quasi-longitudinal analysis," Transport Policy, Elsevier, vol. 59(C), pages 142-152.
  25. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2020. "Can Road Toll Convince Car Travelers to Adjust Their Departure Times? Accounting for the Effect of Choice Behavior under Long and Short Holidays," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
  26. Mitra, Suman K. & Saphores, Jean-Daniel M., 2019. "Why do they live so far from work? Determinants of long-distance commuting in California," Journal of Transport Geography, Elsevier, vol. 80(C).
  27. Clauss, Thomas & Döppe, Sebastian, 2016. "Why do urban travelers select multimodal travel options: A repertory grid analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 93-116.
  28. Ben-Elia, Eran & Alexander, Bayarma & Hubers, Christa & Ettema, Dick, 2014. "Activity fragmentation, ICT and travel: An exploratory Path Analysis of spatiotemporal interrelationships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 56-74.
  29. Baig, Farrukh & Zhang, Dong & Lee, Jaeyoung & Xu, Hongda, 2022. "Shaping inclusiveness of a transportation system: Factors affecting seat-yielding behavior of university students in public transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 79-94.
  30. Krabbenborg, Lizet & Molin, Eric & Annema, Jan Anne & van Wee, Bert, 2020. "Public frames in the road pricing debate: A Q-methodology study," Transport Policy, Elsevier, vol. 93(C), pages 46-53.
  31. Wang, Yu & Wang, Yacan & Ettema, Dick & Mao, Zidan & Charlton, Samuel G. & Zhou, Huiyu, 2020. "Commuter value perceptions in peak avoidance behavior: An empirical study in the Beijing subway system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 70-84.
  32. Xu, Meng & Grant-Muller, Susan, 2016. "Trip mode and travel pattern impacts of a Tradable Credits Scheme: A case study of Beijing," Transport Policy, Elsevier, vol. 47(C), pages 72-83.
  33. Fan, Wenbo & Jiang, Xinguo & Erdogan, Sevgi & Sun, Yanshuo, 2016. "Modeling and evaluating FAIR highway performance and policy options," Transport Policy, Elsevier, vol. 48(C), pages 156-168.
  34. Tillema, Taede & Ben-Elia, Eran & Ettema, Dick & van Delden, Janet, 2013. "Charging versus rewarding: A comparison of road-pricing and rewarding peak avoidance in the Netherlands," Transport Policy, Elsevier, vol. 26(C), pages 4-14.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.