Context-dependent influence of road attributes and pricing policies on route choice behavior of truck drivers: results of a conjoint choice experiment

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• 作者：Theo Arentze (1) t.a.arentze@bwk.tue.nl
  Tao Feng (1) t.feng@bwk.tue.nl
  Harry Timmermans (1) h.j.p.timmermans@bwk.tue.nl
  Jops Robroeks (2) jrobroeks@evo-it.nl
• 关键词：Freight transport – ; Route choice – ; Price policies – ; Stated choice experiment
• 刊名：Transportation
• 出版年：2012
• 出版时间：November 2012
• 年：2012
• 卷：39
• 期：6
• 页码：1173-1188
• 全文大小：395.3 KB
• 参考文献：1. Adelakun A., Cherry C.: Exploring truck driver perceptions and preferences: congestion and conflict, managed lanes, and tolls. Compendium of Papers CD-ROM, the 84th Annual Meeting of the Transportation Research Board, Washington DC, 11–15 Jan 2009
  2. Arentze, T., Borgers, A., DelMistro, R., Timmermans, H.: Transport stated choice responses: effects of task complexity, presentation format and literacy. Transp. Res. E 39, 229–244 (2003)
  3. Avineri, E., Prasker, J.N.: The impact of travel time information on travelers’ learning under uncertainty. Transportation 33, 393–408 (2006)
  4. Ben Elia, E., Ettema, D.: Carrots versus sticks: rewarding commuters for avoiding the rush-hour: a study of willingness to participate. Transp. Policy 16, 68–76 (2009)
  5. Bogers, E.A.I., Viti, F., Hoogendoorn, S.P., Zuylen, H.J.: Valuation of different types of travel time reliability in route choice—a large scale laboratory experiment. Transp. Res. Rec. 1985, 162–170 (2006)
  6. Caussade, S., de Dios Ortuzar, J., Rizzi, L.I., Hensher, D.A.: Assessing the influence of design dimensions on stated choice experiment estimates. Transp. Res. B 39, 621–640 (2005)
  7. Chorus C.G., Timmermans H.J.P.: An empirical study into the influence of travel behavior on stated and revealed mental maps. Compendium of Papers CD-ROM, the 88th Annual Meeting of the Transportation Research Board, Washington, DC, 11–15 Jan 2009
  8. Cullinane, K., Toy, N.: Identifying influential attributes in freight route/mode choice decisions: a context analysis. Transp. Res. E 36, 41–53 (2000)
  9. Greenberg, A.: Designing pay-per-mile auto insurance regulatory incentives. Transp. Res. D 14, 437–445 (2009)
  10. Hensher, D.A., Greene, W.H.: The mixed logit model: the state of practice. Transportation 30, 133–176 (2003)
  11. Holgu铆n-Veras, J., Wang, Q., Xu, N., Ozbay, K., Cetin, M., Polimeni, J.: The impacts of time of day pricing on the behavior of freight carriers in a congested urban area: implications to road pricing. Transp. Res. A 40, 744–766 (2006)
  12. Holgu铆n-Veras, J.: Necessary conditions for off-hour deliveries and the effectiveness of urban freight road pricing and alternative financial policies in competitive markets. Transp. Res. A 42, 392–413 (2008)
  13. Kahneman, D., Tversky, A.: Prospect theory: an analysis of decision under risk. Econometrica 152I, 263–291 (1979)
  14. Kawamura, K.: Perceived value of time for truck operators. Transp. Res. Rec. 1725, 31–36 (2002)
  15. Knorring, J.H., He, R., Kornhauser, A.L.: Analysis of route choice decisions by long-haul truck drivers. Transp. Res. Rec. 1923, 46–60 (2005)
  16. Levinson, D.M., Tilahun, N.Y.: A moment of time: reliability in route choice using stated preference. Compendium of Papers CD-ROM, the 87th Annual Meeting of the Transportation Research Board, Washington D. C., 13–17 Jan 2008
  17. Lin, C.: The freight routing problem of time-definite freight delivery common carriers. Transp. Res. B 35, 525–547 (2001)
  18. Louviere, J.: Analyzing decision making: metric conjoint analysis. Sage, London (1998)
  19. Oppewal, H., Timmermans, H.J.P.: Context effects and decompositional choice modeling. Pap. Reg. Sci. 70, 113–131 (1991)
  20. Timmermans, H.J.P., Hato, E.: Electronic instrument design and user interfaces for activity based modeling. In: Bonnel, P. Lee-Gosselin, M. Zmud, J. Madre J-L. (eds.) Transport Survey Methods: Keeping up with a Changing World, pp. 437–462. Emerald Group Publishing Ltd, Bingley, UK (2009)
  21. Tversky, A., Kahneman, D.: The framing of decision and the psychology of choice. Science 211, 453–458 (1981)
  22. Vadali, S.R., Womack, K.N., Pappu, M.: Freight route decision making in the presence of tolling—evidence from Texas. Compendium of Papers CD-ROM, the 84th Annual Meeting of the Transportation Research Board, Washington D. C., 11–15 Jan 2009
  23. Zhang, Y., Yan, Y., Mao, H., Wang, N.: A survey for private-owner truck drivers about trip behavior and environmental awareness: a case of Nanjing in China. Compendium of Papers CD-ROM, the 88th Annual Meeting of the Transportation Research Board, Washington D. C., 11–15 Jan 2009
  24. Zhou L., Baker R.: The impact of incentives on toll road use by trucks. Compendium of Papers CD-ROM, the 88th Annual Meeting of the Transportation Research Board, Washington D. C., 11–15 Jan 2009
• 作者单位：1. Faculty of Architecture, Building and Planning, Urban Planning Group, Eindhoven University of Technology, Eindhoven, The Netherlands2. EVO Informatietechnologie BV, Pijnacker, The Netherlands
• ISSN：1572-9435

文摘

In this paper, we report the results of a stated choice experiment, which was conducted to examine truck drivers’ route choice behavior. Of particular interest are the questions (i) what is the relative importance of road accessibility considerations via-a-vis traditional factors influencing route choice behavior, (ii) what are the influences of particular personal and situational variables on the evaluation of route attributes, (iii) how sensitive are truck drivers for possible pricing policies, and (iv) is there a difference in impact if environmental concerns are framed as a bonus or as a pricing instrument. The main findings indicate that road accessibility characteristics have a substantial impact on route preferences which is of the same order of magnitude as variation in travel times. This suggests that provision of adequate travel information in itself can be an effective instrument to prevent negative externalities of good transport associated with shortest routes. Furthermore, the results indicate that truck drivers/route planners when choosing a route are relatively sensitive to road pricing schemes and rather insensitive to environmental bonuses.