Modeling children’s school travel mode and parental escort decisions

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.

[1]  Tori D Rhoulac,et al.  Bus or Car?: The Classic Choice in School Transportation , 2005 .

[2]  Brian D. Taylor,et al.  Gender, Race, and Travel Behavior: Analysis of Household-Serving Travel and Commuting in San Francisco Bay Area , 1998 .

[3]  S. Srinivasan Modeling household interactions in daily activity generation , 2004 .

[4]  Peter Vovsha,et al.  Impact of Intrahousehold Interactions on Individual Daily Activity-Travel Patterns , 2004 .

[5]  Mariela Alfonzo,et al.  Evaluation of the California Safe Routes to School legislation: urban form changes and children's active transportation to school. , 2005, American journal of preventive medicine.

[6]  C. DiGuiseppi,et al.  Determinants of car travel on daily journeys to school: cross sectional survey of primary school children , 1998, BMJ.

[7]  R Kitamura,et al.  1990 NPTS REPORT SERIES: SPECIAL REPORTS ON TRIP AND VEHICLE ATTRIBUTES. BASED ON DATA FROM THE 1990 NATIONWIDE PERSONAL TRANSPORTATION SURVEY (NPTS) , 1995 .

[8]  Kelly R Evenson,et al.  Statewide prevalence and correlates of walking and bicycling to school. , 2003, Archives of pediatrics & adolescent medicine.

[9]  P S Fischbeck,et al.  The relative risks of school travel: a national perspective and guidance for local community risk assessment , 2003 .

[10]  T. McMillan,et al.  Walking and Urban Form: Modeling and Testing Parental Decisions about Children’s Travel , 2003 .

[11]  C. Black,et al.  Encouraging Walking: The Case of Journey-to-school Trips in Compact Urban Areas , 2001 .

[12]  I. Roberts,et al.  Cohort study of multiple brain lesions in sport divers: role of a patent foramen ovale , 1997, BMJ.

[13]  Peter Vovsha,et al.  Escorting children to school: Statistical analysis and applied Modeling approach , 2005 .

[14]  Geert Wets,et al.  Children's Travel Behavior: World of Difference , 2006 .

[15]  William H. Greene,et al.  School Location and Student Travel Analysis of Factors Affecting Mode Choice , 2004 .

[16]  N. McDonald Children's Travel: Patterns and Influences , 2005 .