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Analysis of Travel Time Expenditure of School-Going Children

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Transportation Research

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 45))

Abstract

Travel behaviour of school-going children has been a topic of scientific discourse. School trips hold a significant share of peak-hour trips in many Indian cities and are considered a major contributor to congestion. Commute mode choice, time-of-day of trip departure, time use, intra-household interaction with regard to chauffeuring, etc., are some of the topics on children’s travel behaviour that have seen significant development over the past decades. However, relatively less research has been undertaken on children’s travel time expenditure. This research contributes to the domain of travel time analysis. The present study hypothesizes that school-going children (usually) have a travel time bound associated with their school commute. The revealed travel time can be considered as a function of this bound. Stochastic frontier modelling, alternatively production frontier concept, is considered for investigating the travel time expenditure. This approach allows for investigating the unobserved bound using the revealed travel time and several explanatory variables. The econometric model is estimated using the household travel survey data for Bangalore city for the year 2010. The statistically significant empirical model for the conditional mean indicates that the concept of travel time bound holds for the data set. Parameter estimates suggest that male students have a higher bound compared with females, an observation aligning with conventional wisdom. Furthermore, students travelling on motorized modes are observed to have a higher time bound compared with non-motorized mode users. This might be an indication of the unreliability associated with the travel time on motorized vehicles during congested times when most school trips happen. Planning implications of the research findings are also discussed in the chapter.

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References

  1. Karnataka Urban Infrastructure Development and Finance Corporation (KUIDFC) (2007) Comprehensive Traffic and Transport Plan for Bangalore, Final Report

    Google Scholar 

  2. Paleti R, Bhat C, Pendyala R (2013) Integrated model of residential location, work location, vehicle ownership, and commute tour characteristics. Transp Res Rec 2382:162–172

    Article  Google Scholar 

  3. Ermagun A, Levinson D (2016) Intra-household bargaining for school trip accompaniment of children: a group decision approach. Transp Res Part A Policy Pract 94:222–234

    Google Scholar 

  4. Bhat CR (1997) Work travel mode choice and number of nonwork commute stops. Transp Res Part B 31(1):41–54

    Article  Google Scholar 

  5. Yarlagadda AK, Srinivasan S (2008) Modeling children’s school travel mode and parental escort decisions. Transportation 35(2):201–218

    Article  Google Scholar 

  6. Copperman R, Bhat CR (2010, Jan) Children’s activity-travel patterns and implications for activity-based travel demand modeling. In: Compendium of papers CD-ROM, transportation research board 89th annual meeting, Washington DC

    Google Scholar 

  7. Pinjari A, Eluru N, Srinivasan S, Guo JY, Copperman R, Sener IN, Bhat CR (2008, Jan) Cemdap: modeling and microsimulation frameworks, software development, and verification. In: Proceedings of the transportation research board 87th annual meeting, Washington DC

    Google Scholar 

  8. Copperman R, Bhat CR (2007) An analysis of the determinants of children’s weekend activity participation. Transportation 34(1):67–87

    Article  Google Scholar 

  9. Hofferth SL, Sandberg JF (2001) How American children spend their time. J Marriage Family 63:295–308

    Article  Google Scholar 

  10. Yathindra K (2009) Exploratory analysis of children’s travel patterns using time-use and trip-based surveys. Masters thesis, University of Florida

    Google Scholar 

  11. Nasar JL, Holloman C, Abdulkarim D (2015) Street characteristics to encourage children to walk. Transp Res Part A Policy Pract 72:62–70

    Google Scholar 

  12. O’Brian C, Gilbert R (2003) Kids on the move in Halton and Peel: final report. Report prepared for The Center for Sustainable Transport

    Google Scholar 

  13. Stefan KJ, Hunt JD (2006) Age-based analysis of children in Calgary, Canada. In: 85th annual meeting of the transportation research board, Washington, DC

    Google Scholar 

  14. Clifton KJ (2003) Independent mobility among teenagers: an exploration of travel to afterschool activities. Transp Res Rec 1854:74–80

    Article  Google Scholar 

  15. Weston LM (2005) What helps and what hinders the independent travel of non-driving teens. Ph.D. dissertation, The University of Texas at Austin

    Google Scholar 

  16. Mokhtarian PL, Salomon I, Redmond LS (2001) Understanding the demand for travel: it’s not purely’derived’. Innovation Eur J Soc Sci Res 4(4):355–380

    Google Scholar 

  17. Mokhtarian PL, Salomon I (2001) How derived is the demand for travel? Some conceptual and measurement considerations. Transp Res Part A Policy Pract 35(8):695–719

    Google Scholar 

  18. Mokhtarian PL, Chen C (2004) TTB or not TTB that is the question: a review and analysis of the empirical literature on travel time (and money) budgets. Transp Res Part A Policy Pract 38(9):643–675

    Google Scholar 

  19. Banerjee A, Ye X, Pendyala RM (2007) Understanding travel time expenditures around the world: exploring the notion of a travel time frontier. Transportation 34(1):51–65

    Article  Google Scholar 

  20. Census of India (2011) Figures at a glance—Karnataka (in CD-Rom)

    Google Scholar 

  21. Aigner D, Lovell CK, Schmidt P (1977) Formulation and estimation of stochastic frontier production function models. J Econom 6(1):21–37

    Article  MathSciNet  Google Scholar 

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Correspondence to M. Manoj .

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Manoj, M., Rahul, T.M., Verma, A., Yadav, S. (2020). Analysis of Travel Time Expenditure of School-Going Children. In: Mathew, T., Joshi, G., Velaga, N., Arkatkar, S. (eds) Transportation Research . Lecture Notes in Civil Engineering, vol 45. Springer, Singapore. https://doi.org/10.1007/978-981-32-9042-6_19

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  • DOI: https://doi.org/10.1007/978-981-32-9042-6_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9041-9

  • Online ISBN: 978-981-32-9042-6

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