Publication Type

Journal Article

Version

publishedVersion

Publication Date

6-2015

Abstract

Research on the role of bicycling for health through physical activity has been limited by the lack of information on where bicyclists ride. New big data sources available through smartphone-based applications provide a rich source to provide bicycle volume data more comparable to the scale of information available for automotive and public transit modes. In the case of smartphone apps for fitness tracking, results of this data can be used similar to the growing application of global positioning systems for automotive travel surveying. The authors evaluate data from Travis County, Texas for the purpose of determining where bicyclists ride, primarily for fitness purposes. Ride trip volumes are evaluated with residential and employment density, land use diversity, bicycle facilities and terrain to characterize places chosen for bicycling for health. Though limited to bicycle rides and routes voluntarily logged using the smartphone app, this method provides promise for applications in multi-modal transportation planning and health impact assessment studies.

Keywords

Bicycling, Health, Crowdsourcing, VGI, GIS, Built environment

Discipline

Transportation | Urban Studies

Research Areas

Integrative Research Areas

Publication

Journal of Transport & Health

Volume

2

Issue

2

First Page

238

Last Page

247

ISSN

2214-1405

Identifier

10.1016/j.jth.2014.12.001

Publisher

Elsevier

Additional URL

https://doi.org/10.1016%2Fj.jth.2014.12.001

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