Publication Type

Journal Article

Version

publishedVersion

Publication Date

1-2015

Abstract

The recent interest in performance measures and new bicycle infrastructure development has triggered rapid advancements in monitoring methods for active transportation, but comprehensive monitoring programs for the bicycle mode are far from ubiquitous. This study evaluates the use of GPS survey data and a new crowdsourced volume dataset that may offer promise to extend the reach of limited counting programs. The authors integrated count data from 5 separate trail locations in Austin, Texas, with a previous survey using the CycleTracks smartphone app, and a new data product derived from a larger-scale use of the Strava fitness app. New crowdsourced methods offer prospect to expand the relative time and geography of bicycle traffic monitoring, but do not currently offer many other attributes about trips obtainable from other methods. Further studies involving the combination of high-accuracy monitoring points with crowdsourced datasets may improve the efficiency of monitoring programs over large areas.

Discipline

Urban Studies | Urban Studies and Planning

Research Areas

Integrative Research Areas

Publication

URISA Journal

Volume

27

Issue

1

First Page

57

Last Page

66

ISSN

1045-8077

Publisher

Urban and Regional Information Systems Association

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