School Location and Student Travel Analysis of Factors Affecting Mode Choice

By R. Ewing, William Schroeer, William H. Greene. 2004

480 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Transportation

View Paper: https://www.semanticscholar.org/paper/c0ccb6af476835ba096c61de0e41d3580cd816f0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

In Transportation

Citations in the corpus

Independent Mobility and Mode Choice for School Transportation: A Review and Framework for Future Research (2013, background): “First, proximity to school reduces the generalized cost of travel, and makes walking/ cycling a feasible option for school transportation (Ewing et al., 2004; McDonald, 2008b).”
School Trips: Effects of Urban Form and Distance on Travel Mode (2006, background): “It does not appear that the ordering of these options strongly influenced responses, as several responses at the middle and end of the list were frequent choices.”
Travel and the Built Environment (2010, background): “The literature suggests that the choice of mode for the journey to school is based on very different considerations than those for other trip making ( Ewing, Schroeer, & Greene, 2004 ; Yarlagadda & Srinivasan, 2008 ).”
Promoting walking and bicycling: assessing the evidence to assist planners (2010, background): “Work on children has found that both actual and perceived distance and barriers, like busy streets, matter in the walk to school (Ewing et al., 2004; Timperio et al., 2006; Black et al., 2001; Timperio et al., 2004; CDC, 2005).”
A joint model for mode choice and escort decisions of school trips (2015, methodology): “It has been declared (Yarlagadda and Srinivasan 2008; Wen et al. 2008; Ewing et al. 2004) that car ownership considerably affects transportation mode choice decisions which implies escorting kids.”
Built Environment and School Travel Mode Choice in Toronto, Canada (2010, methodology): “Informed by the school transport literature (15,16), this research assumed that beyond a distance of 5 km (i.”
A comparative study of machine learning classifiers for modeling travel mode choice (2017, methodology): “For this reasons it has been widely adopted in transportation40 research (e.g. Ewing et al., 2004; Böcker et al., 2016).41 A limitation of MNL models is that they assume that the probabilities of each pair of alternatives are42 independent of the presence or characteristics of all other…”
Travel-to-school mode choice modelling and patterns of school choice in urban areas (2008, background): “Recent studies concerning travel-to-school mode choice utilizing MNL have been focused on urban form, built environment and distance (McMillan, 2003; Black et al., 2004) as well as travel-time (Woodside et al., 2002; Ewing et al., 2004; McDonald, 2005).”