Skip to main content
Log in

Joint models for analysis of household trip frequency and vehicle ownership in Chennai city

  • Published:
International Journal of Advances in Engineering Sciences and Applied Mathematics Aims and scope Submit manuscript

Abstract

This study investigates some of the key determinants of vehicle ownership (number of two-wheelers and cars) and the trip frequency at the household level using data from Chennai city, India. Potential endogeneity between the number of vehicles present in a household and trip frequency is tested systematically. Vehicle ownership is represented in two ways: (1) The total number of vehicles in a household and (2) The number of cars and number of two-wheelers present in the household. The latter approach is more suitable for the Indian context, in view of its more disaggregate nature and the fact that the effects of some explanatory factors differ considerably for the two types of vehicles. Furthermore, the disaggregate representation enables testing for potential endogeneity between number of vehicles present in the two categories. The empirical results indicate that the relationship between vehicle ownership and trip frequency is indeed endogenous. Disregarding this endogeneity can lead to spurious significance of some factors and failure to detect significance of other important factors. Two-wheeler and car-ownership decisions also appear to be correlated at the unobserved level. Some interesting implications of the models and empirical results for demand modeling and management policies are also discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Gakenheimer R., Zegras, C.: Drivers of travel demand in the developing world. A synthesis of eight case studies. http://www.wbcsd.orgf/web/publications/mobility/mobility-appendix.pdf (2006). World business council for sustainable development. Accessed 24 June 2013

  2. OECD.: Economic, Environmental and Social Statistics. http://miranda.sourceoecd.org/vl=17286383/cl=29/nw=1/rpsv/fact2006/ Accessed 12 May 2012

  3. Srinivasan, K.K., Bhargavi, P.V.L., Ramadurai, G., Muthuram, V., Srinivasan, S.: Determinants of changes in mobility and travel patterns in developing countries: a case study of Chennai. Transp. Res. Rec. 2038, 53–61 (2007)

    Article  Google Scholar 

  4. Gakenheimer, R.: Urban mobility in the developing world. Transp. Res. Part A 33, 671–689 (1999)

    Google Scholar 

  5. Van Zyl. N. J. W., Raza.M.: In search of the value of time: from South Africa to India, Travel Survey Methods–Quality and Future Directions, Elsevier, Oxford (2006)

  6. Badoe, A.D.: Forecasting travel demand with alternatively structured models of trip frequency. Transp. Plan. Technol. 30(5), 455–475 (2007)

    Article  Google Scholar 

  7. Wang, X., Hofe, R.V.: Research Methods in Urban and Regional Planning. Springer, New York (2007)

    Google Scholar 

  8. Lim, K. K., Srinivasan, S.: Comparative analysis of alternate econometric structures for trip generation models. Transportation Research Record: J. Transp. Res. Board, 2254(1), 68–78 (2011)

    Google Scholar 

  9. Schmocker, J.D., Qaddus, M.A., Noland, R.B., Bell, M.G.H.: Estimating trip generation of elderly and disabled people: an analysis of London data. Transp. Res. Rec. 1924, 9–18 (2005)

    Article  Google Scholar 

  10. Jang, T.Y.: Count data models for trip generation. ASCE J. Transp. Eng. 131(6), 444–450 (2005)

    Article  Google Scholar 

  11. Kuppam, A.R., Pendyala, R.M.: A structural equation analysis of commuter’s activity and travel patterns. Transportation 28(1), 33–54 (2001)

    Article  Google Scholar 

  12. Kitamura, R.: A dynamic model system of household car ownership, trip generation, and modal split: model development and simulation experiment. Transportation 36(6), 711–732 (2009)

    Article  Google Scholar 

  13. Van Acker, V., Wee, B.V., Witlox, F.: When transport geography meets social psychology: toward a conceptual model of travel behaviour. Transp. rev. 30(2), 219–240 (2010)

    Article  Google Scholar 

  14. Leong, L.V., Sadullah, A.F.M.: A study on the motorcycle ownership: a case study in Penang state, Malaysia. Proc. East. Asia Soc. Transp. Stud. 6, 1–12 (2007)

    Article  Google Scholar 

  15. Pettersson, P., Schmocker, J.D.: Active ageing in developing countries? Trip generation and tour complexity of older people in Metro Manila. J. Transp. Geogr. 18(5), 613–623 (2000)

    Article  Google Scholar 

  16. Daly, A. J.: Improved methods for trip generation. Proceedings of the 25th European Transport Conference, 415, 207–222 (1997)

  17. Valentin, C. A., Prashker, J. N., Shiftan, Y.: Analysis of trip generation characteristics in Israel for the years 1984, 1996/7 and spatial & temporal transferability of trip generation demand models. Presented at the Transportation Research Board’s 82nd Annual Meeting, Washington DC (2003)

  18. Ramjerdi, F., Rand, L., Saetermo, I.: Models for car ownership, transactions and vehicle type. Presented at the 7th international conference on Travel Behaviour Research (IATBR), Austin, Texas (1997)

  19. Matas, A., Raymond, J.L., Roig, J.L.: Car ownership and access to jobs in Spain. Transp. Res. Part A 43(6), 607–617 (2009)

    Google Scholar 

  20. Bhat, C.R., Guo, Y.J.: A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels. Transp. Res. Part B 41, 506–526 (2005)

    Article  Google Scholar 

  21. Dargay, J.M., Vythoulkas, P.C.: Estimation of dynamic car ownership model: a pseudo panel approach. J. Transp. Econ. Policy 33(3), 287–301 (1999)

    Google Scholar 

  22. Bhat, C.R.: Work travel mode choice and number of non work commute stops. Transp. Res. Part B 31(1), 41–54 (1997)

    Article  MathSciNet  Google Scholar 

  23. Kumar, M., Rao, K.V.K.: A stated preference study for a car ownership model in the context of developing countries. Transp. Plan. Technol. 29(5), 409–425 (2006)

    Article  Google Scholar 

  24. Choo, S., Mokhtarian, P.L.: What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice. Transp. Res. Part A 38(3), 201–222 (2004)

    Google Scholar 

  25. Train, K. E., Winston, C.: Vehicle choice behavior and the declining market share of U.S. auto makers. Brookings Institution. http://www.brookings.edu/views/papers/winston/200507.htm. (2005). Accessed 24 May 2013

  26. Zhao, Y., Kockelman, K.M.: Household vehicle ownership by vehicle type: Application of a multivariate negative binomial model. Presented at the Transportation Research Board’s 81st Annual Meeting (2002)

  27. Bhat, C.R., Sen, S., Eluru, N.: The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use. Transp. Res. Part B 43(2), 1–18 (2008)

    Google Scholar 

  28. Mohammadian, A., Miller, E.J.: Dynamic modeling of household automobile transactions. Transp Res Rec J Transp Res Board 1831, 99–106 (2003)

    Google Scholar 

  29. Chang, H.L., Wu, S.C.: Exploring the vehicle dependence behind mode choice: evidence of motorcycle dependence in Taipei. Transp. Res. Part A 42(2), 307–320 (2008)

    MathSciNet  Google Scholar 

  30. Senbil, M., Zhang, J., Fujiwara, A.: Motorcycle ownership and use in metropolitan area of Jabotabek, Indonesia. In: Transportation Research Board 86th Annual Meeting, 7(2208), (2007)

  31. Tuan, V.A., Shimizu, T.: Modeling of household motorcycle ownership behavior in Hanoi city. J. East. Asia Soc. Transp. Stud. 6, 1751–1765 (2005)

    Google Scholar 

  32. Hsu, T.P., Dao, N.X., Ahmad, F.M.S.: A comparative study on motorcycle traffic development of Taiwan, Malaysian and Vietnam. J. East. Asia Soc. Transp. Stud. 5, 179–193 (2003)

    Google Scholar 

  33. RAND.: Motorcycles and congestion: The effect of modal shift, Phase Report 1. Cambridge, UK (2003)

  34. Tuan, V.A.: Dynamic interactions between private passenger car and motorcycle ownership in Asia: a cross-country analysis. J. East. Asia Soc. Transp. Stud. 9, 541–556 (2011)

    Google Scholar 

  35. Wedagama, D.M.P.: The analysis of household car and motorcycle ownerships using poisson regression (Case Study: Denpasar-Bali). Jurnal Teoretis dan Terapan Bidang Rekayasa Sipil 16(2), 103–111 (2009)

    Google Scholar 

  36. Sanko, N., Dissanayake, D., Kurauchi, S., Maesoba, H., Yamamoto, T.,Morikawa, T.: Inter-temporal analysis of household car and motorcycle ownership behaviors: The case in the Nagaya metropolitan area of Japan, 1981–2001. IATSS research, 33(2), (2009)

  37. Sanko, S., Maesoba, H., Dissanayake, D., Yamamoto, T., Morikawa, T.: Inter-temporal and inter-regional analysis of household cars and motorcycles ownership behaviours in Asian Big Cities. Graduate School of Environmental Studies, Nagoya University, manuscript. (http://cost355.inrets.fr/IMG/doc/SAKURA_Yamamoto_.doc) (2004)

  38. Anastasopoulos, P.C., Karlaftis, M.G., Haddock, J.E., Mannering, F.L.: Household automobile and motorcycle ownership analyzed with random parameters bivariate ordered probit model. J. Transp. Res. Board 2279(1), 12–20 (2012)

    Article  Google Scholar 

  39. Eluru, N., Pinjari, A.R., Pendyala, R.M., Bhat, C.R.: An econometric multi-dimensional Choice Model of Activity-Travel Behavior. Transp. Lett. Int. J. Transp. Res. 2(4), 217–230 (2010)

    Article  Google Scholar 

  40. Golob, T.F.: A simultaneous model of household activity participation and trip chain generation. Transp. Res. B 34, 355–376 (2000)

    Article  Google Scholar 

  41. Rana, T. A., Sikder, S., Pinjari, A.R.: Copula-based method for addressing endogeneity in models of severity of traffic crash injuries. Transportation Research Record: J. Transp. Res. Board, 2147(1), 75–87(2010)

    Google Scholar 

  42. Pinjari, A.R., Pendyala, R., Bhat, C.R., Waddell, P.A.: Modeling residential sorting effects to understand the impacts of the built environment on commute mode choice. Transportation 34, 557–573 (2007)

    Article  Google Scholar 

  43. Chirumamilla, K.: Discrete-continuous Model of Household Vehicle Ownership and Trip Generation. MS dissertation, Tennessee Technological University, ProQuest (2008)

  44. Sillaparcharn, P.: Vehicle ownership and trip generation modelling: a case study of Thailand. IATSS research, 31(2), 17–26 (2007)

    Google Scholar 

  45. Golob, T.F., Wissen, L.V.: A joint household travel distance generation and car ownership model. Transp. Res. Part B 23B(6), 471–491 (1989)

    Article  Google Scholar 

  46. Zellner, A., Theil, H.: Three-stage least squares: simultaneous estimation of simultaneous equations. Econometrica 30(1), 54–78 (1962)

    Google Scholar 

  47. Greene, W.H.: Econometric Analysis, vol. 6. Prentice Hall Inc., New Jersey (2007)

    Google Scholar 

  48. Sargan, John D.: The estimation of economic relationships using instrumental variables. Econometrica 26, 393–415 (1958)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

This research is supported in part by the Centre of Excellence in Urban Transport funded by the Ministry of Urban Development, Government of India. This support is gratefully acknowledged. The authors would like to acknowledge Mr. Vishnu B, M.S. Scholar at IIT Madras and Mr. Anand Raj, a former B.Tech student of IIT Madras for their help in data cleaning and organization tasks.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Viswanath Gopisetty.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gopisetty, V., Srinivasan, K.K. Joint models for analysis of household trip frequency and vehicle ownership in Chennai city. Int J Adv Eng Sci Appl Math 5, 129–144 (2013). https://doi.org/10.1007/s12572-013-0091-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12572-013-0091-5

Keywords

Navigation