Article ID: | iaor2013190 |
Volume: | 40 |
Issue: | 1 |
Start Page Number: | 69 |
End Page Number: | 90 |
Publication Date: | Jan 2013 |
Journal: | Transportation |
Authors: | Enoch Marcus, Wang Chao, Ristell Jessica, Quddus Mohammed, Hardy Peter |
Keywords: | education, behaviour, statistics: regression |
School travel is becoming increasingly car‐based and this is leading to many environmental and health implications for children all over the world. One of several reasons for this is that journey to school distances have increased over time. This is a trend that has been reinforced in some countries by the adoption of so‐called ‘school choice’ policies, whereby parents can apply on behalf of their child(ren) to attend any school, and not only the school they live closest to. This paper examines the traffic and environmental impacts of the school choice policy in England. It achieves this by analysing School Census data from 2009 from the Department for Education. Multinomial logit modelling and mixed multinomial logit modelling are used to illustrate the current travel behaviour of English children in their journey to school and examine how there can be a significant reduction in vehicle miles travelled, CO