The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
School Location and Student Travel Analysis of Factors Affecting Mode Choice
Abstract
This study is the first to examine the relationship between mode of travel to school and the full range of factors that might affect mode choice. With data from Gainesville, Florida, a multinomial logit model was estimated to explain school mode choice for a sample of K-12 students. Students with shorter walk or bike times to school proved significantly more likely to walk or bike. If confirmed through subsequent research, this finding argues for neighborhood schools serving nearby residential areas. Students traveling through areas with sidewalks on main roads were also more likely to walk. If confirmed, this finding argues for "safe routes to school" sidewalk improvements. As noteworthy as the significant factors are those that did not prove significant. School enrollment was not significant after controlling for travel time between home and school. Larger schools may draw students from larger areas and thereby indirectly affect mode choices. But school size does not appear to have a direct effect on mode choices. Land use variables such as density and mix also were not significant. The travel behavior literature emphasizes the importance of such variables in travel decision making. Apparently, school trips are different. They tend to be unlinked to other activities, and thus reduce the need for proximity to other land uses. They are mandatory; thus the walking environment may be less important than it is with discretionary travel. And school trips involve children, who may be less sensitive to walking conditions than are their adult counterparts.
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Cites
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Encouraging Walking: The Case of Journey-to-school Trips in Compact Urban Areas
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Brownson, R. C., Hoehner, C. M., Day, K., Forsyth, A., & Sallis, J. F. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2009.01.005 · Cited by 1,318
Parks and People: An Environmental Justice Inquiry in Baltimore, Maryland
Boone, C. G., Buckley, G. L., Grove, J. M., & Sister, C. (2009) · Annals of the Association of American Geographers · doi:10.1080/00045600903102949 · Cited by 828
Environmental determinants of active travel in youth: A review and framework for future research
Panter, J. R., Jones, A. P., & van Sluijs, E. M. (2008) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-5-34 · Cited by 524
A comparative study of machine learning classifiers for modeling travel mode choice
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Exploring the influence of built environment on Uber demand
Sabouri, S., Park, K., Smith, A., Tian, G., & Ewing, R. (2020) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2020.102296 · Cited by 104
Self-citation
Metadata
- Authors
- Ewing, R., Schroeer, W., & Greene, W.
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- Published
- 2004-01
- Volume
- 1895
- Issue
- 1
- Pages
- 55-63
- ISSN
- 0361-1981 (ISSN-L)
- 2169-4052
- OpenAlex
- W2124300671
- Cited by
- 435
- References
- 10
- FWCI
- 15.86
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.