STRIDE Report: Using crowdsourcing to prioritize bicycle route network improvements
This one is for the real data nerds out there!
Some of you may recall the OTTO cycle study done in Winnipeg years ago. This study is somewhat similar but using smartphones and the Strava, CycleDixie and Cycle Atlanta apps.
https://stride.ce.ufl.edu/wp-content/uploads/2017/03/STRIDE_Report_2013-083s...
In a nutshell, here are the research objectives:
- Collect crowdsourced cycling data through smartphone applications - Compare and analyze measures describing the quality of bicycle facilities, in terms of level of service and level of stress - Model the factors affecting bicycle route choice in urban and suburban areas - Develop route suitability score and route preference models
If you want to skip to the conclusions, go to page 138 of the pdf, though the conclusions are not particularly surprising; it's the methodology that is likely of most interest (to those so inclined), in particular the Bicycle Level of Service (LOS) and Level of Stress discussion.
Thanks to Michelle Porter for the share.
cheers, Beth
participants (1)
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Beth McKechnie