Technical Papers
Apr 28, 2021

Sociopsychological, Instrumental, and Sociodemographic Determinants of Travel Mode Choice Behavior in Delhi, India

Publication: Journal of Urban Planning and Development
Volume 147, Issue 3

Abstract

Established theories have identified multiple sociopsychological variables that contribute to improving behavior predictions. Researchers have tested their application in explaining travel behavior. This study uses descriptive analysis of data collected on 27 variables of travel behavior. Of these, 21 were relatively new variables, including 16 sociopsychological and five qualitative instrumental variables. Six currently popular demographic and quantitative instrumental variables were also included. It uses interview-based survey data on work trips by users of two private and two public transport modes in Delhi, India. Responses from a total of 406 participants were used. A total of 13 variables show promise in explaining mode-choice behavior. These include four qualitative instrumental variables: “time,” “cost,” “comfort,” and “safety”; six sociopsychological variables: “habit,” “intention,” “perceived behavior control,” “positive symbolism,” “negative symbolism,” and “awareness norm”; and three sociodemographic variables: “education,” “household income,” and “household vehicle ownership.” This makes a case for urban planners as well as transport planners and researchers to consider nontraditional variables for improving the accuracy of travel mode-choice models.

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References

Aarts, H., B. Verplanken, and A. van Knippenberg. 1998. “Predicting behavior from actions in the past: Repeated decision making or a matter of habit?” J. Appl. Social Psychol. 28 (15): 1355–1374. https://doi.org/10.1111/j.1559-1816.1998.tb01681.x.
Ajzen, I. 1991. “The theory of planned behavior.” In Organizational behaviour and human decision processes, edited by F. Gino, 179–211. Amherst, MA: Elsevier.
Bagozzi, R. P., and R. Pieters. 1998. “Goal-directed emotions.” Cognit. Emotion 12 (1): 1–26. https://doi.org/10.1080/026999398379754.
Bamberg, S., I. Ajzen, and P. Schmidt. 2003a. “Choice of travel mode in the theory of planned behavior: The roles of past behavior, habit and reasoned action.” Basic Appl. Soc. Psych. 25: 175–187. https://doi.org/10.1207/S15324834BASP2503_01.
Bamberg, S., D. Rolle, and C. Weber. 2003b. “Does habitual car use not lead to more resistance to change of travel mode?” Transportation (Amst). 30: 97–108. https://doi.org/10.1023/A:1021282523910.
Burnett, P. 1978. “Time cognition and urban travel behavior.” Geogr. Ann. Ser. A Phys. Geogr. 60 (2): 107–115. https://doi.org/10.1080/04353684.1978.11879435.
Carrus, G., P. Passafaro, and M. Bonnes. 2008. “Emotions, habits and rational choices in ecological behaviors: The case of recycling and use of public transportation.” J. Environ. Psychol. 28 (1): 51–62. https://doi.org/10.1016/j.jenvp.2007.09.003.
Census of India. 2011. Office of the registrar general and census commissionner of india. New Delhi, India: Census of India.
Cook, C., F. Heath, R. L. Thompson, and B. Thompson. 2001. “Score reliability in webor internet-based surveys: Unnumbered graphic rating scales versus Likert-type scales.” Educ. Psychol. Meas. 61 (4): 697–706. https://doi.org/10.1177/00131640121971356.
Curl, A., J. D. Nelson, and J. Anable. 2015. “Same question, different answer: A comparison of GIS-based journey time accessibility with self-reported measures from the National Travel Survey in England.” Comput. Environ. Urban Syst. 49: 86–97. https://doi.org/10.1016/j.compenvurbsys.2013.10.006.
Dijst, M., S. Farag, and T. Schewanen. 2008. “A comparative study of attitude theory and other theoretical models for understanding travel behavior.” Environ. Plann. A 40 (4): 831–847. https://doi.org/10.1068/a39151.
Directorate of Economics and Statistics. 2012. Employment and unemployment situtation in Delhi. New Delhi, India: Directorate of Economics and Statistics.
Flyvbjerg, B. 2008. “Curbing optimism bias and strategic misrepresentation in planning: Reference class forecasting in practice.” Eur. Plann. Stud. 16 (1): 3–21. https://doi.org/10.1080/09654310701747936.
Flyvbjerg, B., M. K. Skamris Holm, and S. L. Buhl. 2006. “Inaccuracy in traffic forecasts.” Transp. Rev. 26 (1): 1–24. https://doi.org/10.1080/01441640500124779.
Fujii, S., and T. Garling. 2003. “Application of attitude theory for improved predictive accuracy of stated preference methods in travel demand analysis.” Transp. Res. A 34 (4): 389–402. https://doi.org/10.1016/S0965-8564(02)00032-0.
Garling, T., D. Eek, P. Loukopoulos, S. Fujii, O. Johansson-Stenman, R. Kitamura, R. Pendyala, and B. Vilhelmson. 2002. “A conceptual analysis of the impact of travel demand management on private car use.” Transp. Policy 9 (1): 59–70. https://doi.org/10.1016/S0967-070X(01)00035-X.
Goel, R., and G. Tiwari. 2014. Promoting low carbon transport in India, case study of metro rails in Indian cities. New Delhi, India: IIT Delhi.
Goel, R., and G. Tiwari. 2016. “Access–egress and other travel characteristics of metro users in Delhi and its satellite cities.” IATSS Res. 39 (2): 164–172. https://doi.org/10.1016/j.iatssr.2015.10.001.
Golob, T. F. 2003. “Structural equation modeling for travel behavior research.” Transp. Res. B 37 (1): 1–25. https://doi.org/10.1016/S0191-2615(01)00046-7.
Heath, Y., and R. Gifford. 2002. “Extending the theory of planned behavior: Predicting the use of public transportation1.” J. Appl. Social Psychol. 32 (10): 2154–2189. https://doi.org/10.1111/j.1559-1816.2002.tb02068.x.
Kline, R. B. 2016. Principles and practice of structural equation modeling. 4th ed. New York: The Guilford Press.
Knoflacher, H. 1981. “Zur Frage des Modal Split.” StraBenverkehrstechnik 25 (5): 150–154.
Knoflacher, H. 2013. “The common goal traffic safety in urban areas from different positions of science and practice: A stocktaking.” In Safety, sustainability & future urban transport, edited by D. Mohan, 403–422. New Delhi: Eicher Goodearth Pvt. Ltd.
Knoflacher, H. 2017. “The role of engineers and their tools in the transport sector after paradigm change: From assumptions and extrapolation to science.” In Engineering tools and solutions for sustainable transport planning, edited by H. Knoflacher and E. V. Ocalir-Akunal, 1–29. Hershey, PA: IGI-Global.
Lalla, M. 2017. “Fundamental characteristics and statistical analysis of ordinal variables: A review.” Qual. Quantity 51 (1): 435–458. https://doi.org/10.1007/s11135-016-0314-5.
Li, C.-H. 2016. “The performance of ML, DWLS and ULS estimation with robust corrections in structural equation models with ordinal variables.” Psychol. Methods 21 (3): 369–387. https://doi.org/10.1037/met0000093.
Li, Y. 2003. “Evaluating the urban commute experience: A time perception approach.” J. Public Transp. 6 (4): 41–67. https://doi.org/10.5038/2375-0901.6.4.3.
Lietz, P. 2010. “Research into questionnaire design: A summary of the literature.” Int. J. Mark. Res 52 (2): 249–272. https://doi.org/10.2501/S147078530920120X.
Manheim, M. L. 1980. Fundamentals of transportation system analysis. Cambridge, MA: The MIT Press.
Mohan, D. 2008. “Mythologies, metro rail systems and future urban transport.” Econ. Polit. Weekly 43 (4): 41–53.
Mokhtarian, P. L., I. Salomon, and M. E. Singer. 2015. “What moves us? An interdisciplinary exploration of reasons for traveling.” Transp. Rev. 35: 250–274. https://doi.org/10.1080/01441647.2015.1013076.
Montello, D. R. 1997. “The perception and cognition of environmental distance: Direct source of information.” In Spatial information theory: A theoretical basis of GIS, edited by S. C. Hirtle, and A. U. Frank, 297–311. Berlin: Springer-Verlag.
Morris, J. M., P. L. Dumble, and M. R. Wigan. 1979. “Accessibility indicators for transport planning.” Transp. Res. A 13 (2): 91–109. https://doi.org/10.1016/0191-2607(79)90012-8.
Perugini, M., and R. P. Bagozzi. 2001. “The role of desires and anticipated emotions in goal-directed behaviors: Broadening and deepening the theory of planned behavior.” Br. J. Social Psychol. 40 (1): 79–98. https://doi.org/10.1348/014466601164704.
Perugini, M., and M. Conner. 2000. “Predicting and understanding behavioral volitions: The interplay between goals and behaviors.” Eur. J. Social Psychol. 30 (5): 705–731. https://doi.org/<705::AID-EJSP18>3.0.CO;2-#.
Pickrell, D. H. 1992. “A desire named streetcar fantasy and fact in rail transit planning.” J. Am. Plann. Assoc. 58 (2): 158–176. https://doi.org/10.1080/01944369208975791.
RITES. 2011. Transport demand forecast study for development of integrated road cum mulit-modal public transport network for NCT of Delhi. New Delhi, India: RITES.
Siegel, S. 1956. Non parametric statistics for the behavioural sciences. Tokyo: McGrawHill Kogakusha.
Singh, M. 2006. “High-speed express metro rail link from New Delhi railway station to IGI airport.” In Airport of tomorrow, 6.1–6.10. New Delhi, India: Ministry of Civil Aviation, Government of India.
Steg, L., and C. Vlek. 1997. “The role of problem awareness in willingness-to-change car use and in evaluating relevant policy measures.” In Traffic and transport psychology. Theory and application, edited by T. Rothengatter and E. Carbonell Vaya, 465–475. Oxford, UK: Elsevier.
Steg, L., C. Vlek, and G. Slotegraaf. 2001. “Instrumental-reasoned and symbolic-affective motives for using a motor car.” Transp. Res. F 4 (3): 151–169. https://doi.org/10.1016/S1369-8478(01)00020-1.
Temme, D., M. Paulssen, and T. Dannewald. 2008. “Incorporating latent variables into discrete choice models—A simultaneous estimation approach using SEM software.” Bus. Res. 1 (2): 220–237. https://doi.org/10.1007/BF03343535.
Tiwari, G. 2013. “Metro rail and the city, derailing public transport.” Econ. Polit. Weekly 48 (48): 65–76.
Triandis, H. C. 1977. Interpersonal behavior. Three Lakes, WI: Cole Publishing Company.
Trujillo, L., E. Quinet, and A. Estache. 2002. “Dealing with demand forecasting games in transport privatization.” Transp. Policy 9 (4): 325–334. https://doi.org/10.1016/S0967-070X(02)00022-7.
Tudela, A., K. N. Habib, A. O. Idris, and J. A. Carrasco. 2013. “Semantic approach to capture psychological factors affecting mode choice: Comparative results from Canada and Chile.” In Transport survey methods: Best practice for decision making, edited by J. Zmud, M. Lee-Gosselin, M. Munizaga, and J. A. Carrasco, 625–642. Bingley, UK: Emerald Group Publishing.
Tversky, A., and D. Kahneman. 1981. “The framing of decisions and the psychology of choice.” Science 211 (4481): 453–458. https://doi.org/10.1126/science.7455683.
Tversky, A., and D. Kahneman. 1986. “Rational choice and the framing of decisions.” J. Bus. 59 (S4): S251–S278. https://doi.org/10.1086/296365.
Verplanken, B., and H. Aarts. 1999. “Habit, attitude, and planned behavior: Is habit an empty construct or an interesting case of goal-directed automaticity?” In European review of social psychology, edited by W. Stroebe, and M. Hewstone, 101–134. Chichester, UK: Wiley.
Verplanken, B., H. Aarts, A. van Knippenberg, and C. van Knippenberg. 1994. “Attitude versus general habit: Antecedents of travel mode choice1.” J. Appl. Social Psychol. 24 (4): 285–300. https://doi.org/10.1111/j.1559-1816.1994.tb00583.x.
Verplanken, B., I. Walker, A. Davis, and M. Jurasek. 2008. “Context change and travel mode choice: Combining the habit discontinuity and self-activation hypotheses.” J. Environ. Psychol. 28 (2): 121–127. https://doi.org/10.1016/j.jenvp.2007.10.005.
Zeithaml, V. A. 1988. “Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence.” J. Marketing 52 (1): 2–22. https://doi.org/10.1177/002224298805200302.

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Journal of Urban Planning and Development
Volume 147Issue 3September 2021

History

Received: Feb 26, 2020
Accepted: Feb 5, 2021
Published online: Apr 28, 2021
Published in print: Sep 1, 2021
Discussion open until: Sep 28, 2021

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Sandeep Gandhi [email protected]
Principal, S G Architects, 6151/8, Sector D Pocket 6, Vasant Kunj, New Delhi 110070, India (corresponding author). Email: [email protected]
Geetam Tiwari [email protected]
Professor, Dept. of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khaz, New Delhi 110016, India. Email: [email protected]

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