Abstract
This paper investigates the effects of the provision of traffic information on toll road usage based on a stated preference survey conducted in central Texas. Although many researchers have studied congestion pricing and traffic information dissemination extensively, most of them focused on the effects that these instruments individually produce on transportation system performance. Few studies have been conducted to elaborate on the impacts of traffic information dissemination on toll road utilization. In this study, 716 individuals completed a survey to measure representative public opinions and preferences for toll road usage in support of various traffic information dissemination classified by different modes, contents, and timeliness categories. A nested logit model was developed and estimated to identify the significant attributes of traffic information dissemination, traveler commuting patterns, routing behavior, and demographic characteristics, and analyze their impacts on toll road utilization. The results revealed that the travelers using dynamic message sign systems as their primary mode of receiving traffic information are more likely to choose toll roads. The potential toll road users also indicated their desire to obtain traffic information via internet. Information regarding accident locations, road hazard warnings, and congested roads is frequently sought by travelers. Furthermore, high-quality congested road information dissemination can significantly enhance travelers’ preferences of toll road usage. Specifically the study found that travelers anticipated an average travel time saving of about 11.3 min from better information; this is about 30 % of travelers’ average one-way commuting time. The mean value of the time savings was found to be about $11.82 per hour, close to ½ of the average Austin wage rate. The model specifications and result analyses provide in-depth insights in interpreting travelers’ behavioral tendencies of toll road utilization in support of traffic information. The results are also helpful to shape and develop future transportation toll system and transportation policy.
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Arnott, R., de Palma, A., Lindsey, R.: A structural model of peak-period congestion: a traffic bottleneck with elastic demand. Am. Econ. Rev. 83, 161–179 (1993)
Ben-Akiva, M.E., Lerman, S.R.: Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press, Cambridge, Massachusetts (1985)
Bhat, C.R., Guo, J.: A mixed spatially correlated logit model: formulation and application to residential choice modelling. Transp. Res. Part B 38(2), 147–168 (2004)
Dill, J., Wiensten, A.: How to pay for transportation? Survey of public preferences in California. Transp. Policy 14, 346–356 (2007)
Domencich, T., McFadden, D.: Urban Travel Demand: A Behavioral Analysis. North-Holland Pub. Co., North Holland, Amsterdam (1975)
Enrique Fernández, J., de Cea Ch, J., Germán, V.: Effect of advanced traveler information systems and road pricing in a network with non-recurrent congestion. Transp. Res. Part A 43, 481–499 (2009)
Evans, A.W.: Road congestion pricing: when is it a good policy? J. Transp. Econ. Policy 26(3), 213–244 (1992)
FHWA: “Value Pricing Notes” Value Pricing Homepage. http://www.hhh.umn.edu/center-s/slp/projects/conpric/news/spring02.pdf (2002). Accessed 21 June 2010
Jaensirisak, S., Wardman, M., May, A.D.: Explaining variations in public acceptability of road pricing schemes. J. Transp. Econ. Policy 39, 127–153 (2005)
Jou, R.-C., Lam, S.-H., Liu, Y.-H., Chen, K.-H.: Route switching behavior on freeways with the provision of different types of realtime traffic information. Transp. Res. Part A 39(5), 445–461 (2005)
Knight, F.H.: Some fallacies in the interpretation of social cost. Q. J. Econ. 38, 582–606 (1924)
Kockelman, K.M., Kalmanje, S.: Credit-based congestion pricing: a policy proposal and the public’s response. Transp. Res. Part A Policy Pract. 39(7–9), 671–690 (2005)
Kottenhoff, K., Freij, K.B.: The role of public transport for feasibility and acceptability of congestion charging—the case of Stockholm. Transp. Res. Part A43, 297–305 (2009)
Lawphongpanich, S., Hearn, D.W., Smith, M.J. (eds.): Mathematical and Computational Models for Congestion Charging. Springer, Berlin (2006)
Lay, M., Daley, K.: The Melbourne city link project. Transp. Policy 9, 261–267 (2002)
Levinson, D.: The value of advanced traveler information systems for route choice. Transp. Res. Part C 11(1), 75–87 (2003)
Mahmassani, H., Jou, R.-C.: Transferring insights into commuter behavior dynamics from laboratory experiments to field surveys. Transp. Res. A 34, 243–260 (2000)
Mehndiratta, S.R., Kemp, M.A., Lappin, J.E., Nierenberg, E.: Likely users of advanced traveler information systems. Transportation Research Record 1739, pp. 15–24, Washington, DC (2000)
Meng, Q., Xu, W., Yang, H.: A trial-and-error procedure for implementing a road-pricing scheme. Transp. Res. Rec. 1923, 103–109 (2005)
Odeck, J., Bråthen, S.: Toll financing in Norway: the success, the failures and perspectives for the future. Transp. Policy 9(4), 253–260 (2002)
Olson, R.L., Hanowski, R.J., Hickman, J.S., Bocanegra, J.: Driver distraction in commercial vehicle operations, final report. Report No. FMCSA-RRR-09-042. Federal Motor Carrier Safety Administration, Washington, DC (2009)
Olszewski, P., Xie, L.: Modeling the effects of road pricing on traffic in Singapore. Transp. Res. Part A 39, 755–772 (2005)
Pacific Rim Resources: Managed Lanes Public Opinion Research. Washington State Department of Transportation Website. http://www.wsdot.wa.gov/mobility/managed/Survey.ppt (2001). Accessed 21 June 2010
Pigou, A.C.: The Economics of Welfare. MacMillan, London (1920)
Podgorski, K.V., Kockelman, K.M.: Public perceptions of toll roads: a survey of the Texas perspective. Transp. Res. Part A 40, 888–902 (2006)
Schuitema, G., Steg, L.: The role of revenue use in the acceptability of transport pricing policies. Transp. Res. Part F 11, 221–231 (2008)
Shrank, D., Lomax, T.: The 2009 urban mobility report. Texas Transportation Institute. The Texas A&M University System (http://mobility.tamu.edu/ (2010). Accessed 14 July 2010
Small, K.: The incidence of congestion tolls on urban highways. J. Urban Econ. 13, 90–111 (1983)
Srinivasan, K.K., Krishnamurthy, A.: Investigating the role of mixed real-time information strategies in network performance. Transportation Research Board, 83rd Annual Meeting, Washington, DC (2004)
Vickrey, W.: Congestion theory and transport investment. Am. Econ. Rev. (Papers and Proceedings) 59, 251–261 (1969)
Walters, A.A.: The theory and measurement of private and social cost of highway congestion. Econometrica 29, 676–699 (1961)
Walton, C.M., Persad, K., Wang, Z.: Use of Traveler Information to Improve Texas Transportation Network Operations in the Context of Toll Roads. Texas Department of Transportation Technical Report 0-5079-1 (2006)
Winslott-Hiselius, L., Brundell-Freij, K., Vagland, A., Bystrom, C.: The development of public attitudes towards the Stockholm congestion trial. Transp. Res. Part A 43, 269–282 (2009)
Yan, J., Small, K., Sullivan, E.: Choice models of route, occupancy, and time-of-day with value priced tolls. Transp. Res. Rec. 1812, 69–77 (2002)
Yang, H., Huang, H.J.: Time multi-class, multi-criteria traffic network equilibrium and systems optimum problem. Transp. Res. Part B Methodol. 38, 1–15 (2004)
Yang, H., Huang, H.J.: Mathematical and Economic Theory of Road Pricing. Elsevier, Oxford (2005)
Yim, Y., Hall, R.W., Weissenberger, S.: TravInfo Evaluation: Traveler Response Element Broad Area Survey. PATH Working Paper UCB-ITS-PWP-97-9, California Department of Transportation, CA (1997)
Yin, Y., Yang, H.: Simultaneous determination of the equilibrium market penetration and compliance rate of advanced traveler information systems. Transp. Res. Part A 37, 165–181 (2003)
Zhang, H.M., Verhoef, E.: A monopolistic market for advanced traveler information systems and road use efficiency. Transp. Res. A 40(5), 424–443 (2006)
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Zhang, G., Wang, Z., Persad, K.R. et al. Enhanced traffic information dissemination to facilitate toll road utilization: a nested logit model of a stated preference survey in Texas. Transportation 41, 231–249 (2014). https://doi.org/10.1007/s11116-013-9449-6
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DOI: https://doi.org/10.1007/s11116-013-9449-6