, Volume 35, Issue 2, pp 201–218

Modeling children’s school travel mode and parental escort decisions

  • Amith K. Yarlagadda
  • Sivaramakrishnan Srinivasan

DOI: 10.1007/s11116-007-9144-6

Cite this article as:
Yarlagadda, A.K. & Srinivasan, S. Transportation (2008) 35: 201. doi:10.1007/s11116-007-9144-6


Understanding of the activity-travel patterns of children is becoming increasingly important to various policy makers. Further, there is also a growing recognition that intra-household interactions need to be explicitly accommodated in travel models for realistic forecasts and policy evaluation. In the light of these issues, this paper contributes towards an overall understanding of the school-travel behavior of children and the related interdependencies among the travel patterns of parents and children. An econometric model is formulated to simultaneously determine the choice of mode and the escorting person for children’s travel to and from school. The 2000 San Francisco Bay Area Travel Survey (BATS) data are used in the model estimation process. Empirical results indicate that the characteristics of child like age, gender, and ethnicity, and employment and work flexibility characteristics of the parents have strong impacts on the mode choice decisions. In addition, the impacts of some of these attributes on the choice of mode to school are different from the corresponding impacts on the choice of mode from school. The distance between home and school is found to strongly and negatively impact the choice of walking to and from school, with the impact being stronger for walking to school. Several land-use and built-environment variables were explored, but were found not to be statistically significant predictors.


Children’s school travel Mode choice Parental escort Household interactions 

Copyright information

© Springer Science+Business Media, LLC. 2007

Authors and Affiliations

  • Amith K. Yarlagadda
    • 1
  • Sivaramakrishnan Srinivasan
    • 2
  1. 1.Parsons BrinckerhoffSeattleUSA
  2. 2.Department of Civil and Coastal EngineeringUniversity of FloridaGainesvilleUSA

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