Abstract
In the last decade, a broad array of disciplines has shown a general interest in enhancing discrete choice models by considering the incorporation of psychological factors affecting decision making. This paper provides insight into the comprehension of the determinants of route choice behavior by proposing and estimating a hybrid model that integrates latent variable and route choice models. Data contain information about latent variable indicators and chosen routes of travelers driving regularly from home to work in an urban network. Choice sets include alternative routes generated with a branch and bound algorithm. A hybrid model consists of measurement equations, which relate latent variables to measurement indicators and utilities to choice indicators, and structural equations, which link travelers’ observable characteristics to latent variables and explanatory variables to utilities. Estimation results illustrate that considering latent variables (i.e., memory, habit, familiarity, spatial ability, time saving skills) alongside traditional variables (e.g., travel time, distance, congestion level) enriches the comprehension of route choice behavior.
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Aarts, H., Dijksterhuis, A.P.: The automatic activation of goal-directed behaviour: the case of travel habit. J. Environ. Psychol. 20(1), 75–82 (2000)
Abdel-Aty, M.A., Huang, Y.: Exploratory spatial analysis of expressway ramps and its effects on route choice. J. Transp. Eng. 130(1), 104–112 (2004)
Abdel-Aty, M.A., Kitamura, R., Jovanis, P.P.: Exploring route choice behavior using geographic information system-based alternative routes and hypothetical travel time information input. Transp. Res. Rec. 1493, 74–80 (1995)
Akgün, V., Erkut, E., Batta, R.: On finding dissimilar paths. Eur. J. Oper. Res. 121(2), 232–246 (2000)
Azevedo, J.A., Santos Costa, M.E.O., Silvestre Madera, J.J.E.R., Vieira Martins, E.Q.: An algorithm for the ranking of shortest paths. Eur. J. Oper. Res. 69(1), 97–106 (1993)
Bekhor, S., Prashker, J.N.: Stochastic user equilibrium formulation for the generalized nested logit model. Transp. Res. Rec. 1752, 84–90 (2001)
Bekhor, S., Ben-Akiva, M.E., Ramming, S.: Adaptation of logit kernel to route choice situation. Transp. Res. Rec. 1805, 78–85 (2002)
Bekhor, S., Ben-Akiva, M.E., Ramming, S.: Evaluation of choice set generation algorithms for route choice models. Ann. Oper. Res. 144, 235–247 (2006)
Ben-Akiva, M.E., Bierlaire, M.: Discrete choice methods and their applications to short term travel decisions. In: Hall, R.W. (ed.) Handbook of Transportation Science, pp. 5–34. Kluwer, Dordrecht (1999)
Ben-Akiva, M.E., Bergman, M.J., Daly, A.J., Ramaswamy, R.: Modeling interurban route choice behaviour. In: Volmuller, J., Hamerslag, R. (eds.) Proceedings of the 9th International Symposium on Transportation and Traffic Theory, pp. 299–330. VNU Science Press, Utrecht (1984)
Ben-Akiva, M.E., McFadden, D., Train, K.E., Walker, J.L., Bhat, C.R., Bierlaire, M., Bolduc, D., Boersch-Supan, A., Brownstone, D., Bunch, D., Daly, A., de Palma, A., Gopinath, D., Karlstrom, A., Munizaga, M.A.: Hybrid choice models: progress and challenges. Mark. Lett. 13(3), 163–175 (2002)
Ben-Elia, E., Erev, I., Shiftan, Y.: The combined effect of information and experience on drivers’ route-choice behavior. Transportation 35(2), 165–177 (2008)
Bhat, C.R.: Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences. Transp. Res. Part B 37(9), 837–855 (2003)
Bliemer, M.C.J., Bovy, P.H.L.: Impact of route choice set on route choice probabilities. Transp. Res. Rec. 2076, 10–19 (2008)
Bogers, E.A.I., Viti, F., Hoogendoorn, S.P.: Joint modeling of advanced travel information service, habit, and learning impacts on route choice by laboratory simulator experiments. Transp. Res. Rec. 1926, 189–197 (2005)
Bolduc, D., Boucher, N., Alvarez-Daziano, R.: Hybrid choice modeling of new technologies for car choice in Canada. Transp. Res. Rec. 2082, 63–71 (2008)
Bovy, P.H.L., Fiorenzo-Catalano, S.: Stochastic route choice set generation: behavioral and probabilistic foundations. Transportmetrica 3(3), 173–189 (2007)
Bovy, P.H.L., Stern, E.: Route Choice: Wayfinding in Transport Networks. Kluwer Academic Publishers, Dordrecht (1990)
Bovy, P.H.L., Bekhor, S., Prato, C.G.: The factor of revisited path size: an alternative derivation. Transp. Res. Rec. 2076, 132–140 (2008)
Cascetta, E., Nuzzolo, A., Russo, F., Vitetta, A.: A modified logit route choice model overcoming path overlapping problems: specification and some calibration results for interurban networks. In: Lesort, J.B. (ed.) Proceedings of the 13th International Symposium on Transportation and Traffic Theory, pp. 697–711. Pergamon Press, Lyon (1996)
Conroy Dalton, R.: The secret is to follow your nose: route path selection and angularity. Environ. Behav. 35(1), 107–131 (2003)
De La Barra, T., Perez, B., Anez, J.: Multidimensional path search and assignment. In: Proceedings of the 21st PTRC Summer Annual Meeting, pp. 307–319. PTRC, Manchester (1993)
Frejinger, E., Bierlaire, M.: Capturing correlation with subnetworks in route choice models. Transp. Res. Part B 41(3), 363–378 (2007)
Frejinger, E., Bierlaire, M., Ben-Akiva, M.E.: Sampling of alternatives for route choice modeling. Transp. Res. Part B 43(10), 984–994 (2009)
Freundschuh, S.M.: Is there a relationship between spatial cognition and environmental patterns? Lect. Notes Comput. Sci. 639, 288–304 (1992)
Fujii, S., Garling, T.: Application of attitude theory for improved predictive accuracy of stated preference methods in travel demand analysis. Transp. Res. Part A 37(4), 389–402 (2003)
Gale, N., Golledge, R.G., Pellegrino, J.W., Doherty, S.: The acquisition and integration of route knowledge in an unfamiliar neighbourhood. J. Environ. Psychol. 10, 3–25 (1990)
Garling, T., Golledge, R.G.: Cognitive mapping and spatial decision making. In: Kitchin, R., Freundschuh, S. (eds.) Cognitive Mapping: Past, Present, and Future, pp. 44–65. Routledge, London (2000)
Golledge, R.G., Garling, T.: Spatial behavior in transportation modeling and planning. In: Goulias, K.G. (ed.) Transportation Systems Planning: Methods and Applications, pp. 3-1–3-27. CRC Press, New York (2003)
Hoogendoorn-Lanser, S.: Modelling travel behaviour in multi-modal networks. Ph.D. Thesis, TRAIL Research School, Technical University of Delft, The Netherlands (2005)
Hunt, D.T., Kornhauser, A.L.: Assigning traffic over essentially-least-cost paths. Transp. Res. Rec. 1556, 1–7 (1997)
Kahneman, D.: Maps of bounded rationality: a perspective on intuitive judgment and choice. In: Frangsmyr, T. (ed.) Les Prix Nobel: The Nobel Prizes 2002, pp 449–489. The Nobel Foundation, Stockholm (2002)
Li, H., Guensler, R., Ogle, J.: Analysis of morning commute route choice patterns using global positioning system-based vehicle activity data. Transp. Res. Rec. 1926, 162–170 (2005)
Lombard, K., Church, R.L.: The gateway shortest path problem: generating alternative routes for a corridor location problem. Geogr Syst 1, 25–45 (1993)
Madanat, S.M., Yang, C.Y., Yen, Y.M.: Analysis of stated route diversion intentions under advanced traveler information systems using latent variable modeling. Transp. Res. Rec. 1485, 10–17 (1995)
McFadden, D.: Economic choices. Am. Econ. Rev. 91(3), 351–378 (2001)
Menghini, G., Carrasco, N., Schuessler, N., Axhausen, K.W.: Route choice of cyclists in Zurich. Transp. Res. Part A 44(9), 754–765 (2010)
Nielsen, O.A.: Behavioural responses to pricing schemes: description of the Danish AKTA experiment. J. Intell. Transp. Syst. 8(4), 233–251 (2004)
Papinski, D., Scott, D.M., Doherty, S.T.: Exploring the route choice decision-making process: a comparison of pre-planned and observed routes obtained using person-based GPS. Transp. Res. Part F 12(4), 347–358 (2009)
Parkany, E., Du, J., Aultman-Hall, L., Gallagher, R.: Modeling stated and revealed route choice: consideration of consistency, diversion, and attitudinal variables. Transp. Res. Rec. 1985, 29–39 (2006)
Polydoropoulou, A., Ben-Akiva, M.E., Kaysi, I.: Influence of traffic information on drivers’ route choice behavior. Transp. Res. Rec. 1453, 56–65 (1995)
Prashker, J.N., Bekhor, S.: Investigation of stochastic network loading procedures. Transp. Res. Rec. 1645, 94–102 (1998)
Prato, C.G., Bekhor, S.: Applying branch & bound technique to route choice set generation. Transp. Res. Rec. 1985, 19–28 (2006)
Prato, C.G., Bekhor, S.: Modeling route choice behavior: how relevant is the choice set composition? Transp. Res. Rec. 2003, 64–73 (2007)
Prato, C.G.: Latent factors and route choice behaviour. Ph.D. Thesis. Politecnico di Torino, Italy (2005)
Prato, C.G., Bekhor, S., Pronello, C.: Methodology for exploratory analysis of latent factors influencing drivers’ behavior. Transp. Res. Rec. 1926, 115–125 (2005)
Raghubir, P., Krishna, A.: As the crow flies: bias in consumers’ map-based distance judgments. J. Consum. Res. 23(1), 26–39 (1996)
Ramming, S.: Network knowledge and route choice. Ph.D. Thesis, Massachusetts Institute of Technology, Cambridge, USA (2002)
Rich, J., Mabit, S., Nielsen O.A.: Route choice model for Copenhagen: a data-driven choice set generation approach based on GPS data. In: Proceedings of the 6th Tristan Conference, Phuket, Thailand (2007)
Schuessler, N., Balmer, M., Axhausen, K.W.: Route choice sets for very high-resolution data. In: Proceedings of 89th Annual Meeting of the Transportation Research Board, Washington, DC (2010)
Train, K.: Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge (2003)
Van der Zijpp, N.J., Fiorenzo-Catalano, S.: Path enumeration by finding the constrained K-shortest paths. Transp. Res. Part B 39(6), 545–563 (2005)
Verplanken, B., Aarts, H.: Habit, attitudes, and planned behaviour: is habit an empty construct or an interesting case of goal-directed automaticity? Eur Rev Soc Psychol 10, 101–134 (1999)
Walker, J.L.: Extended discrete choice models: integrated framework, flexible error structures, and latent variables. Ph.D. Thesis, Massachusetts Institute of Technology, Cambridge, USA (2001)
Wolf, J., Schönfelder, S., Samaga, U., Oliveira, M., Axhausen, K.W.: Eighty weeks of global positioning system traces: approaches to enriching trip information. Transp. Res. Rec. 1870, 46–54 (2004)
Yai, T., Iwakura, S., Morichi, S.: Multinomial probit with structured covariance for route choice behavior. Transp. Res. Part B 31(3), 195–207 (1997)
Acknowledgments
The authors would like to express their gratitude to Kay Axhausen and Michel Bierlaire for commenting on a preliminary version of the paper and suggesting improvements to the model specification. The authors would also like to express their appreciation for the contribution of four anonymous reviewers.
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Prato, C.G., Bekhor, S. & Pronello, C. Latent variables and route choice behavior. Transportation 39, 299–319 (2012). https://doi.org/10.1007/s11116-011-9344-y
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DOI: https://doi.org/10.1007/s11116-011-9344-y