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A tour-based mode choice model accommodating the influence of attitudes, perceptions, and inter- and intra-household interactions

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  • Punyabeet Sarangi

    (Indian Institute of Technology Delhi)

  • M. Manoj

    (Indian Institute of Technology Delhi)

Abstract

The paper examines the influences of attitude and perceptions on mode choice decisions while accounting for household interactions. A nested ICLVmodel is estimated, incorporating six types of tour typology at the upper level, and the lower level considers four modes (active, PT, MTW, and car) under each tour type. The formulation of tour typologies, consist of a combination of activity types (maintenance, discretionary, and a mix of both these activities) and ‘with-whom’ travel arrangements (household members and non-household members), is an important contribution of the study. Three latent constructs—green lifestyle, perceived residential neighborhood, and safety consciousness—extracted from 10 measurement items are integrated into the nested framework to account for the taste heterogeneity arising from variations in the perceptions and attitudes of decision-makers. This model is estimated at the household level by considering the activity-travel diary data of Bhubaneswar city, comprising 858 households, 1454 adult individuals, and 2214 joint tours. The tour typologies reveal that intra-household interactions are more pronounced than inter-household interactions involving non-family members. The results from the structural model of the ICLV framework indicate that household socio-demographics and built environment variables significantly influence the attitudes and perceptions of adult household members. With the inclusion of latent factors in the nested ICLV model estimation, a substantial part of the intrinsic taste (or distaste) variability was captured that was previously ascribed to alternative specific constants. Additionally, the study contributed to the literature by deriving distinct values of travel time savings for PT (₹19.978/hr.), MTW (₹30.687/hr.), and car (₹39.635/hr.) for different tour typologies. A sensitivity analysis of selected control variables is carried out, and policy interventions from a broad viewpoint are also discussed.

Suggested Citation

  • Punyabeet Sarangi & M. Manoj, 2025. "A tour-based mode choice model accommodating the influence of attitudes, perceptions, and inter- and intra-household interactions," Transportation, Springer, vol. 52(2), pages 467-506, April.
    • Handle: RePEc:kap:transp:v:52:y:2025:i:2:d:10.1007_s11116-023-10428-7
    DOI: 10.1007/s11116-023-10428-7
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    as
    1. Abou-Zeid, Maya & Ben-Akiva, Moshe, 2011. "The effect of social comparisons on commute well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 345-361, May.
    2. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    3. Wang, Donggen & Chai, Yanwei & Li, Fei, 2011. "Built environment diversities and activity–travel behaviour variations in Beijing, China," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1173-1186.
    4. Chinh Ho & Corinne Mulley, 2013. "Tour-based mode choice of joint household travel patterns on weekend and weekday," Transportation, Springer, vol. 40(4), pages 789-811, July.
    5. Liang Ma & Jason Cao, 2019. "How perceptions mediate the effects of the built environment on travel behavior?," Transportation, Springer, vol. 46(1), pages 175-197, February.
    6. Sylvia Y. He & Genevieve Giuliano, 2017. "Factors affecting children’s journeys to school: a joint escort-mode choice model," Transportation, Springer, vol. 44(1), pages 199-224, January.
    7. Timmermans, Harry J.P. & Zhang, Junyi, 2009. "Modeling household activity travel behavior: Examples of state of the art modeling approaches and research agenda," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 187-190, February.
    8. Hélène Bouscasse, 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers hal-01795630, HAL.
    9. Sivaramakrishnan Srinivasan & Chandra Bhat, 2008. "An exploratory analysis of joint-activity participation characteristics using the American time use survey," Transportation, Springer, vol. 35(3), pages 301-327, May.
    10. Glerum, Aurélie & Atasoy, Bilge & Bierlaire, Michel, 2014. "Using semi-open questions to integrate perceptions in choice models," Journal of choice modelling, Elsevier, vol. 10(C), pages 11-33.
    11. Md Sami Hasnine & Khandker Nurul Habib, 2021. "Tour-based mode choice modelling as the core of an activity-based travel demand modelling framework: a review of state-of-the-art," Transport Reviews, Taylor & Francis Journals, vol. 41(1), pages 5-26, January.
    12. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    13. Chorus, Caspar G. & Kroesen, Maarten, 2014. "On the (im-)possibility of deriving transport policy implications from hybrid choice models," Transport Policy, Elsevier, vol. 36(C), pages 217-222.
    14. Rajesh Paleti & Peter Vovsha & Danny Givon & Yehoshua Birotker, 2015. "Impact of individual daily travel pattern on value of time," Transportation, Springer, vol. 42(6), pages 1003-1017, November.
    15. Idris, Ahmed Osman & Nurul Habib, Khandker M. & Shalaby, Amer, 2015. "An investigation on the performances of mode shift models in transit ridership forecasting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 551-565.
    16. Tai-Yu Ma & Philippe Gerber & Samuel Carpentier & Sylvain Klein, 2015. "Mode choice with latent preference heterogeneity: a case study for employees of the EU institutions in Luxembourg," Post-Print halshs-01132437, HAL.
    17. Sarangi, Punyabeet & Manoj, M., 2022. "Task-allocation among adult household members by activity purpose and accompanying person," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 246-266.
    18. Daniel Badoe, 2002. "Modelling Work-Trip Mode Choice Decisions in Two-Worker Households," Transportation Planning and Technology, Taylor & Francis Journals, vol. 25(1), pages 49-73, January.
    19. Amith Yarlagadda & Sivaramakrishnan Srinivasan, 2008. "Modeling children’s school travel mode and parental escort decisions," Transportation, Springer, vol. 35(2), pages 201-218, March.
    20. De Vos, Jonas & Cheng, Long & Kamruzzaman, Md. & Witlox, Frank, 2021. "The indirect effect of the built environment on travel mode choice: A focus on recent movers," Journal of Transport Geography, Elsevier, vol. 91(C).
    21. Jennifer Roberts & Gurleen Popli & Rosemary J. Harris, 2018. "Do environmental concerns affect commuting choices?: hybrid choice modelling with household survey data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(1), pages 299-320, January.
    22. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    23. Mark Bradley & Peter Vovsha, 2005. "A model for joint choice of daily activity pattern types of household members," Transportation, Springer, vol. 32(5), pages 545-571, September.
    24. C. Angelo Guevara, 2017. "Mode-valued differences of in-vehicle travel time Savings," Transportation, Springer, vol. 44(5), pages 977-997, September.
    25. Maria Kamargianni & Moshe Ben-Akiva & Amalia Polydoropoulou, 2014. "Incorporating social interaction into hybrid choice models," Transportation, Springer, vol. 41(6), pages 1263-1285, November.
    26. Cynthia Chen & Patricia Mokhtarian, 2006. "Tradeoffs between Time Allocations to Maintenance Activities/Travel and Discretionary Activities/Travel," Transportation, Springer, vol. 33(3), pages 223-240, May.
    27. Joshua Auld & Lei Zhang, 2013. "Inter-personal interactions and constraints in travel behavior within households and social networks," Transportation, Springer, vol. 40(4), pages 751-754, July.
    28. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    29. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    30. Ferdous, Nazneen & Eluru, Naveen & Bhat, Chandra R. & Meloni, Italo, 2010. "A multivariate ordered-response model system for adults' weekday activity episode generation by activity purpose and social context," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 922-943, September.
    31. Feng, Jianxi & Dijst, Martin & Wissink, Bart & Prillwitz, Jan, 2013. "The impacts of household structure on the travel behaviour of seniors and young parents in China," Journal of Transport Geography, Elsevier, vol. 30(C), pages 117-126.
    32. Xuemei Fu & Zhicai Juan, 2017. "Accommodating preference heterogeneity in commuting mode choice: an empirical investigation in Shaoxing, China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(4), pages 434-448, May.
    33. Ha, Jaehyun & Lee, Sugie & Ko, Joonho, 2020. "Unraveling the impact of travel time, cost, and transit burdens on commute mode choice for different income and age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 147-166.
    34. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2015. "The influence of weather characteristics variability on individual’s travel mode choice in different seasons and regions in Sweden," Transport Policy, Elsevier, vol. 41(C), pages 147-158.
    35. Tim Schwanen & Dick Ettema & Harry Timmermans, 2007. "If You Pick up the Children, I'll Do the Groceries: Spatial Differences in between-Partner Interactions in out-of-Home Household Activities," Environment and Planning A, , vol. 39(11), pages 2754-2773, November.
    36. Francisco J. Bahamonde-Birke & Uwe Kunert & Heike Link & Juan de Dios Ortúzar, 2017. "About attitudes and perceptions: finding the proper way to consider latent variables in discrete choice models," Transportation, Springer, vol. 44(3), pages 475-493, May.
    37. Samira Ramezani & Barbara Pizzo & Elizabeth Deakin, 2018. "An integrated assessment of factors affecting modal choice: towards a better understanding of the causal effects of built environment," Transportation, Springer, vol. 45(5), pages 1351-1387, September.
    38. Chandra Bhat & Ram Pendyala, 2005. "Modeling intra-household interactions and group decision-making," Transportation, Springer, vol. 32(5), pages 443-448, September.
    39. Amlan Banerjee & Xin Ye & Ram Pendyala, 2007. "Understanding Travel Time Expenditures Around the World: Exploring the Notion of a Travel Time Frontier," Transportation, Springer, vol. 34(1), pages 51-65, January.
    40. Hess, Stephane & Bierlaire, Michel & Polak, John W., 2005. "Estimation of value of travel-time savings using mixed logit models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 221-236.
    41. Handy, Susan & Cao, Xinyu & Mokhtarian, Patricia L., 2005. "Correlation or causality between the built environment and travel behavior? Evidence from Northern California," University of California Transportation Center, Working Papers qt5b76c5kg, University of California Transportation Center.
    42. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    43. Bouscasse, H., 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers 2018-07, Grenoble Applied Economics Laboratory (GAEL).
    44. Ahmad, Zaheer & Batool, Zahara & Starkey, Paul, 2019. "Understanding mobility characteristics and needs of older persons in urban Pakistan with respect to use of public transport and self-driving," Journal of Transport Geography, Elsevier, vol. 74(C), pages 181-190.
    45. Bhat, Chandra R. & Dubey, Subodh K., 2014. "A new estimation approach to integrate latent psychological constructs in choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 68-85.
    46. John Gliebe & Frank Koppelman, 2002. "A model of joint activity participation between household members," Transportation, Springer, vol. 29(1), pages 49-72, February.
    47. Kamargianni, Maria & Dubey, Subodh & Polydoropoulou, Amalia & Bhat, Chandra, 2015. "Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 473-488.
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