Crowdsourced data for bicycling research and practice-Reference-Cited by-同舟云学术

Crowdsourced data for bicycling research and practice

Published:2020-08-15 Issue:1 Volume:41 Page:97-114
ISSN:0144-1647
Container-title:Transport Reviews
language:en
Short-container-title:Transport Reviews

Author:

Nelson Trisalyn¹,Ferster Colin²,Laberee Karen²,Fuller Daniel³,Winters Meghan⁴

Affiliation:

1. School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA

2. Department of Geography, University of Victoria, Victoria, BC, Canada

3. School of Human Kinetics and Recreation, Memorial University, St. John's, NL, Canada

4. Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada

Funder

Public Health Agency of Canada

Canada Research Chairs program

Michael Smith Foundation for Health Research Scholar Award

Arizona State University Foundation

Publisher

Informa UK Limited

Subject

Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/01441647.2020.1806943

Reference65 articles.

1. Predictors of the frequency and subjective experience of cycling near misses: Findings from the first two years of the UK Near Miss Project

2. Corporate Editors in the Evolving Landscape of OpenStreetMap

3. The world’s user-generated road map is more than 80% complete

4. Blanc, B. & Figliozzi, M. (2017). Safety perceptions, roadway characteristics and cyclists’ demographics: A study of crowdsourced smartphone bicycle safety data. Transportation Research Board 96th Annual Meeting, 17-03262.

5. Using crowdsourced data to monitor change in spatial patterns of bicycle ridership

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