152
Views
1
CrossRef citations to date
0
Altmetric
Articles

The influence of activity-travel patterns on the success of VTBC

, &
Pages 255-276 | Received 22 Jul 2016, Accepted 16 May 2017, Published online: 29 May 2017

References

  • Ampt, E. (2003, August). Voluntary household travel behaviour change – theory and practice. Paper presented at the 10th international conference on travel behaviour research, 10–15 August 2003.
  • Axhausen, K., & Gärling, T. (1992). Activity-based approaches to travel analysis: Conceptual frameworks, models and research problems. Transport Reviews, 12(4), 323–341. doi: 10.1080/01441649208716826
  • Bamberg, S., Fujii, S., Friman, M., & Gärling, T. (2011). Behaviour theory and soft transport policy measures. Transport Policy, 18(1), 228–235. doi: 10.1016/j.tranpol.2010.08.006
  • Bhat, C. R. (2004). Austin commuter survey: Findings and recommendations. Technical Report, Dep. of Civil, Architectural and Environmental Engineering. The University of Texas at Austin. ww.ce.utexas.edu/prof/bhat/REPORTS/Austin_commuter_survey_report.doc
  • Bhat, C. R., & Koppelman, F. S. (1999). A retrospective and prospective survey of time-use research. Transportation, 26, 119–139. doi: 10.1023/A:1005196331393
  • Bhat, C. R., Varin, C., & Ferdous, N. (2010). A comparison of the maximum simulated likelihood and composite marginal likelihood estimation approaches in the context of the multivariate ordered response model. In W. Greene & R. C. Hill (Eds.), Advances in econometrics: Maximum simulated likelihood methods and applications (Vol. 26, pp. 65–106). Bingley: Emerald Group Publishing Limited.
  • Bowman, J. L., & Ben-Akiva, M. E. (2001). Activity-based disaggregate travel demand model system with activity schedules. Transportation Research Part A: Policy and Practice, 35(1), 1–28. doi:10.1016/S0965-8564(99)00043-9 doi: 10.1016/S0191-2615(00)00025-4
  • Brög, W., Erl, E., Ker, I., Ryle, J., & Wall, R. (2009). Evaluation of voluntary travel behaviour change: Experiences from three continents. Transport Policy, 16, 281–292. doi:10.1016/j.tranpol.2009.10.0003 doi: 10.1016/j.tranpol.2009.10.003
  • Currie, G., & Delbosc, A. (2011). Exploring the trip chaining behaviour of public transport users in Melbourne. Transport Policy, 18(1), 204–210. doi: 10.1016/j.tranpol.2010.08.003
  • Daly, A. J. (1997, September). Improved methods for trip generation. In transportation planning methods volume 11. Proceedings of seminar F held at PTRC european transport forum, Brunel University, England, September 1997.
  • Doherty, S. T. (2006). Should we abandon activity type analysis? Redefining activities by their salient attributes. Transportation, 33, 517–536. doi: 10.1007/s11116-006-0001-9
  • Dong, X., Ben-Akiva, M. E., Bowman, J. L., & Walker, J. L. (2006). Moving from trip-based to activity-based measures of accessibility. Transportation Research Part A: Policy and Practice, 40(2), 163–180. doi: 10.1016/j.tra.2005.05.002
  • Ettema, D. F., & Timmermans, H. J. P. (1997). Activity-based approaches to travel analysis. Oxford: Pergamon Press.
  • Fujii, S., & Taniguchi, A. (2006). Determinants of the effectiveness of travel feedback programmes–a review of communicative mobility management measures for changing travel behaviour in Japan. Transport Policy, 13(5), 339–348. doi: 10.1016/j.tranpol.2005.12.007
  • Gärling, T., & Fujii, S. (2009). Travel behavior modification: Theories, methods, and programmes. In R. Kitamura, T. Yoshi, & T. Yamamoto (Eds.), The expanding sphere of travel behavior research (pp. 97–128). IATBR.
  • Harding, C., Miller, E. J., Patterson, Z., & Axhausen, K. W. (2015). Multiple purpose tours and efficient trip chaining: An analysis of the effects of land use and transit on travel behavior in Switzerland. Presented at transportation research board, 94th annual meeting.
  • Hensher, D. A., & Reyes, A. J. (2000). Trip chaining as a barrier to the propensity to use public transport. Transportation, 27(4), 341–361. doi:10.1023/A:100524691673168 doi: 10.1023/A:1005246916731
  • Hensher, D. A., & Stopher, P. R. (1979). Behavioural travel modeling. London: Croom Helm.
  • Ho, C., & Mulley, C. (2013). Tour-based mode choice of joint household travel patterns on weekend and weekday. Transportation, 40(4), 789–811. doi: 10.1007/s11116-013-9479-0
  • Jones, P. (1979). New approaches to understanding travel behaviour: The human activity approach. In D. A. Hensher & P. R. Stopher (Eds.), Behavioural travel modeling (pp. 55–80). London: Croom Helm.
  • Jones, P. (1990). Developments in dynamic and activity based approaches to travel analysis. Oxford studies in Transport, Oxford University Press.
  • Jones, P., Dix, M., Clarke, M., & Heggie, I. (1983). Understanding travel behaviour. Aldershot: Gower.
  • Kitamura, R. (1988). An evaluation of activity-based travel analysis. Transportation, 15, 9–34. doi: 10.1007/BF00167973
  • Krizek, K. (2003). Neighborhood services, trip purpose and tour-based travel. Transportation, 30, 387–410. doi: 10.1023/A:1024768007730
  • Krygsman, S., Arentze, T., & Timmermans, H. (2007). Capturing tour mode and activity choice interdependencies: A co-evolutionary logit modelling approach. Transportation Research Part A: Policy and Practice, 41(10), 913–933. doi: 10.1016/j.tra.2006.03.006
  • Kurani, K. S., & Kitamura, R. (1996). Recent developments and the prospects for modeling household activity schedules. Davis, CA: Report for the Los Alamos National Laboratory, Institute of Transportation Studies, University of California.
  • Kurani, K. S., & Lee-Gosselin, M. E. H. (1996, June). Synthesis of past activity analysis applications: A process-oriented history. Presented at the TMIP conference on activity-based travel forecasting, New Orleans, LA, June 2–5.
  • Lee, M. S., & McNally, M. G. (2003). On the structure of weekly activity/travel patterns. Transportation Research Part A: Policy and Practice, 37(10), 823–839. doi: 10.1016/S0965-8564(03)00047-8
  • Martinez L.M. (2016, July). Shared urban mobility solution workshop. World conference on transport research. Shanghai.
  • McNally, M. G. (2000). The activity-based approach. In D. A. Hensher & K. J. Button (Eds.), Handbook of transport modeling (Vol. 1). Oxford: Pergamon Press.
  • Meloni, I., Guala, L., & Loddo, A. (2004). Time allocation to discretionary in-home, out-of-home activities and to trips. Transportation, 31(1), 69–96. doi: 10.1023/B:PORT.0000007228.44861.ae
  • Meloni, I., & Sanjust, B. (2014). Using a GPS active logger to implement travel behaviour change programmes. In S. Rasouli & H. Timmermans (Eds.), Mobile technologies for activity-travel data collection and analysis (pp. 325–340). Hershey, PA: IGI Global.
  • Meloni, I., Sanjust, B., & Spissu, E. (2016). Lessons learned from a personalized travel planning (PTP) research programme to reduce car dependence. Transportation, 1–18. doi: 10.1007/s11116-016-9681-y
  • Meloni, I., Spissu, E., & Bhat, C. R. (2011). The effect of personal cap-and-trade mileage policies on individual activity-travel patterns. The activity locator project. Transportation Letters: The International Journal of Transportation Research, 3, 293–307. doi: 10.3328/TL.2011.03.04.293-307
  • O'Fallon, C., & Sullivan C. (2005). Trip chaining: Understanding how New Zealanders link their travel. ( Transfund New Zealand Research Report No. 268).
  • Pas, E. (1985). State of the art and research opportunities in travel demand: Another perspective. Transportation Research Part A: General, 19, 460–464. Elsevier Science Pergamon Press. doi: 10.1016/0191-2607(85)90048-2
  • Pas, E. (1998). Time in travel choice modeling: From relative obscurity to center stage. In T. Gärling, T. Laitila, & K. Westin (Eds.), Theorical foundations of travel choice modeling (pp. 231–250). Oxford: Pergamon Press.
  • Portoghese, A., Spissu, E., Bhat, C. R., Eluru, N., & Meloni, I. (2011). A copula-based joint model of commute mode choice and number of non-work stops during the commute. International Journal of Transport Economics, XXXVIII(3), 337–364.
  • Primerano, F., Taylor, M. A. P., Pitaksringkarn, L., & Tisato, P. (2008). Defining and understanding trip chaining behaviour. Transportation, 35(1), 55–72. doi: 10.1007/s11116-007-9134-8
  • Rose, G., & Ampt, E. (2001). Travel blending: An Australian travel awareness initiative. Transportation Research Part D: Transport and Environment, 6, 95–110. doi: 10.1016/S1361-9209(00)00015-8
  • Sanjust, B., Bhat, C. R., & Meloni, I. (2014). Modeling the propensity to use a sustainable mode in the context of a programme of voluntary change in travel behaviour. Transportation Research Record: Journal of the Transportation Research Board, 2412, 11–19. doi: 10.3141/2412-02
  • Sanjust, B., Meloni, I., & Spissu, E. (2015). An impact assessment of a travel behavior change programme: A case study of a light rail service in cagliari, Italy. Case Studies on Transport Policy, 3(1), 12–22. doi: 10.1016/j.cstp.2014.04.002
  • Shiftan, Y. (1998). Practical approach to model trip chaining. Transportation Research Record: Journal of the Transportation Research Board, 1645, 17–23. doi: 10.3141/1645-03
  • Siyu, L. (2015). Activity based travel demand model: Application and innovation (Unpublished doctoral dissertation). Tsinghua University.
  • Sperling, D., & Gordon, D. (2009). Two billion cars: Driving toward sustainability. New York: Oxford University Press.
  • Stopher, P. (2005). Voluntary travel behaviour change. In K. J. Button & D. A. Hensher (Eds.), Handbook of transport strategy, policy and institutions (Vol. 6, pp. 561–578). Amsterdam: Elsevier.
  • Strathman, J. G., & Dueker, K. J. (1995). Understanding trip chaining. Special reports on trip and vehicle attributes. Publication FHWA-PL-95-033. FHWA, US Department of Transportation.
  • Strathman, J. G., Dueker, K. J., & Davis, J. S. (1994). Effect of household structure and selected travel characteristics on trip chaining. Transportation, 21, 23–45. doi: 10.1007/BF01119633
  • Taylor, M., & Ampt, E. (2003). Travelling smarter down under: Policies for voluntary travel behaviour change in Australia. Transport Policy, 10(3), 165–177. doi: 10.1016/S0967-070X(03)00018-0
  • Toint, P., & Cirillo, C. (2001). An activity-based approach to the Belgian travel survey. Namur: FUNDP.
  • Ye, X., Pendyala, R. M., & Gottardi, G. (2007). An exploration of the relationship between mode choice and complexity of trip chaining patterns. Transportation Research Part B: Methodological, 41, 96–113. doi: 10.1016/j.trb.2006.03.004

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.