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Exploring the Dynamics in the Travel Decisions: A Panel Data Analysis of Trip Chaining and Mode Choice in Hyderabad, India

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Abstract

Hyderabad, a rapidly developing city in India, has seen a surge in private vehicle ownership due to its growing economy. As vehicle ownership increases, trip-makers are more likely to rely on their personal vehicles because of their flexibility in allowing for multiple stops. This contributes to a more complex travel behaviour, which emphasises the importance of understanding the interrelationship between mode choice and trip chain patterns and their influence on travel decisions. While previous studies have concentrated on the decision-making between trip chaining and mode choice using cross-sectional data, this study uses panel data to gain insights into travel behaviour changes over time in a developing country context. The present study examines the changes in travel decisions concerning trip chaining and mode choice over a period of 4 years. Structural equation modelling (SEM) is used to test the hypothesis of the decision hierarchy, with separate models developed for work and non-work trips by active modes, public and private transport users. The data sets of 2012 and 2016 reveal changes in travel behaviour over time. The results indicate that the increased vehicle ownership has led to a significant change in travel decisions and an increase in the complexity of trip chain patterns. Specifically, the study finds a change from simultaneous decision-making between trip chaining and mode choice to clear precedence of mode choice for non-work trips, while work trips exhibit the opposite trend. These findings provide valuable insights for revising planning strategies to increase public transport ridership in developing country contexts.

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References

  1. V. Vasudevan, R. Agarwala, S. Dash, Is vehicle ownership in urban india influenced by the availability of high quality dedicated public transit systems? IATSS Res. 45, 286–292 (2021). https://doi.org/10.1016/j.iatssr.2020.12.005

    Article  Google Scholar 

  2. D. Dissanayake, T. Morikawa, Transport policy analysis for developing countries using a nested logit model of vehicle usage, mode choice and trip-chain. J. Eastern Asia Soc. Transportation Stud. 4, 161–173 (2001)

    Google Scholar 

  3. H.I.M. Irtema, A. Ismail, M.N. Borhan et al., Case study of the behavioural intentions of public transportation passengers in Kuala Lumpur. Case Stud. Transp. Policy 6, 462–474 (2018). https://doi.org/10.1016/j.cstp.2018.05.007

    Article  Google Scholar 

  4. R. Kitamura, Panel analysis in transportation planning: an overview. Transp. Res. Part A 24, 401–415 (1990)

    Article  Google Scholar 

  5. C.R. Bhat, S.K. Singh, A comprehensive daily activity-travel generation model system for workers. Transp. Res. Part A Policy Pract. 34, 1–22 (2000)

    Article  Google Scholar 

  6. C.R. Bhat, Work travel mode choice and number of non-work commute stops. Transp. Res. B Methodol. 31, 41–54 (1997)

    Article  Google Scholar 

  7. C.R. Bhat, An analysis of evening commute stop-making behavior using repeated choice observations from a multi-day survey. Transport Res. B Methodol. 33, 495–510 (1999)

    Article  Google Scholar 

  8. Y.L. Chu, Daily stop-making model for workers. Transp. Res. Rec. 1894, 37–45 (2004)

    Article  Google Scholar 

  9. Y.L. Chu, Empirical analysis of commute stop-making behavior. Transp. Res. Rec. 1831, 106–113 (2003)

    Article  Google Scholar 

  10. J.G. Strathman, K.J.Dueker, Understanding trip chaining. Special Reports on Trip and Vehicle Attributes (1995)

  11. J.G. Strathman, K.J. Dueker, J.S. Davis, Effects of household structure and selected travel characteristics on trip chaining. Transportation (Amst) 21, 23–45 (1994)

    Article  Google Scholar 

  12. S. Subbarao, K. Krishna Rao, Trip chaining behavior in developing countries: a study of Mumbai metropolitan region, India. Euro. Transport Trasporti Europei 53, 1825–3997 (2013)

    Google Scholar 

  13. J. Xianyu, An exploration of the interdependencies between trip chaining behavior and travel mode choice. Proc. Soc. Behav. Sci. 96, 1967–1975 (2013). https://doi.org/10.1016/j.sbspro.2013.08.222

    Article  Google Scholar 

  14. X. Ye, R.M. Pendyala, G. Giovanni, An exploration of the relationship between mode choice and complexity of trip chaining patterns. Transport Res. B Methodol. 41, 96–113 (2007)

    Article  Google Scholar 

  15. D. Dissanayake, T. Morikawa, Household travel behavior in developing countries: nested logit model of vehicle ownership, mode choice, and trip chaining. Transp. Res. Rec. 1805, 45–52 (2002)

    Article  Google Scholar 

  16. L. Yang, Q. Shen, Z. Li, Comparing travel mode and trip chain choices between holidays and weekdays. Transp. Res. Part A Policy Pract. 91, 273–285 (2016)

    Article  Google Scholar 

  17. D.A. Hensher, A.J. Reyes, Trip chaining as a barrier to the propensity to use public transport. Transportation (Amst) 27, 341–361 (2000). https://doi.org/10.1023/A:1005246916731

    Article  Google Scholar 

  18. E. Mirzaei, R. Kheyroddin, D. Mignot, Exploring the effect of the built environment, weather condition and departure time of travel on mode choice decision for different travel purposes: Evidence from Isfahan, Iran. Case Stud. Transp. Policy 9, 1419–1430 (2021). https://doi.org/10.1016/j.cstp.2021.05.002

    Article  Google Scholar 

  19. M. Hadiuzzaman, N.P. Farazi, S. Hossain et al., Structural equation approach to investigate trip-chaining and mode choice relationships in the context of developing countries. Transp. Plan. Technol. 42, 391–415 (2019). https://doi.org/10.1080/03081060.2019.1600244

    Article  Google Scholar 

  20. S.S.V. Subbarao, S.N.V. Swaroop, R.S. Shekhar, Interrelationships between mode choice and trip-chain choice decisions: a case of Mumbai metropolitan region. Transport Res. Proc. 48, 3049–3061 (2020). https://doi.org/10.1016/j.trpro.2020.08.182

    Article  Google Scholar 

  21. F. Rahman, R.J.R. Mazumder, M.S. Kabir, M. Hadiuzzaman, An exploratory analysis of factors affecting comfort level of work trip chaining and mode choice: a case study for Dhaka City. Transp. Developing Econ. 6, 1–18 (2020). https://doi.org/10.1007/s40890-020-0095-3

    Article  Google Scholar 

  22. M.A. Arman, N. Khademi, M. de Lapparent, Women’s mode and trip structure choices in daily activity-travel: a developing country perspective. Transp. Plan. Technol. 41, 845–877 (2018). https://doi.org/10.1080/03081060.2018.1526931

    Article  Google Scholar 

  23. R.J. Vandenberg, C.E. Lance, A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organ Res. Methods 3, 4–70 (2000). https://doi.org/10.1177/109442810031002

    Article  Google Scholar 

  24. A. Banerjee, Understanding activity engagement and timeuse patterns in a developing country context. Doctoral Dissertation (2006)

  25. F. Primerano, M.A.P. Taylor, L. Pitaksringkarn, P. Tisato, Defining and understanding trip chaining behaviour. Transportation (Amst) 35, 55–72 (2008). https://doi.org/10.1007/s11116-007-9134-8

    Article  Google Scholar 

  26. F. Valiquette, C. Morency, Trip chaining and its impact on travel behaviour. In: 12th World Congress on Transportation Research. pp 11–15 (2010).

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  1. Transportation Division, Department of Civil Engineering, National Institute of Technology, Warangal, 506004, Telangana State, India

    S. Padma Tejaswi & C. S. R. K. Prasad

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  1. S. Padma Tejaswi
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Tejaswi, S.P., Prasad, C.S.R.K. Exploring the Dynamics in the Travel Decisions: A Panel Data Analysis of Trip Chaining and Mode Choice in Hyderabad, India. J. Inst. Eng. India Ser. A 104, 855–866 (2023). https://doi.org/10.1007/s40030-023-00757-2

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