[HTML][HTML] Emerging data for pedestrian and bicycle monitoring: Sources and applications

K Lee, IN Sener - Transportation research interdisciplinary perspectives, 2020 - Elsevier
Growing attention on the benefits of non-motorized travel has increased the demand for
accurate and timely pedestrian and bicycle travel data. Advancements in technologies and …

Categorizing bicycling environments using GPS-based public bicycle speed data

S Joo, C Oh, E Jeong, G Lee - Transportation Research Part C: Emerging …, 2015 - Elsevier
A promising alternative transportation mode to address growing transportation and
environmental issues is bicycle transportation, which is human-powered and emission-free …

Strava Metro data for bicycle monitoring: a literature review

K Lee, IN Sener - Transport reviews, 2021 - Taylor & Francis
Monitoring bicycle trips is no longer limited to traditional sources, such as travel surveys and
counts. Strava, a popular fitness tracker, continuously collects human movement trajectories …

Estimation of average annual daily bicycle counts using crowdsourced strava data

B Dadashova, GP Griffin, S Das… - Transportation …, 2020 - journals.sagepub.com
Traffic volumes are fundamental for evaluating transportation systems, regardless of travel
mode. A lack of counts for non-motorized modes poses a challenge for practitioners …

Crowdsourced data for bicycling research and practice

T Nelson, C Ferster, K Laberee, D Fuller… - Transport …, 2021 - Taylor & Francis
Cities are promoting bicycling for transportation as an antidote to increased traffic
congestion, obesity and related health issues, and air pollution. However, both research and …

[HTML][HTML] Generalized model for mapping bicycle ridership with crowdsourced data

T Nelson, A Roy, C Ferster, J Fischer… - … Research Part C …, 2021 - Elsevier
Fitness apps, such as Strava, are a growing source of data for mapping bicycling ridership,
due to large samples and high resolution. To overcome bias introduced by data generated …

[HTML][HTML] Correcting bias in crowdsourced data to map bicycle ridership of all bicyclists

A Roy, TA Nelson, AS Fotheringham, M Winters - Urban Science, 2019 - mdpi.com
Traditional methods of counting bicyclists are resource-intensive and generate data with
sparse spatial and temporal detail. Previous research suggests big data from crowdsourced …

Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories

W Li, S Wang, X Zhang, Q Jia, Y Tian - International Journal of …, 2020 - Taylor & Francis
In this paper, we present a data-driven framework to support exploratory spatial, temporal,
and statistical analysis of intra-urban human mobility. We leveraged a new mobility data …

[HTML][HTML] Mapping bicycling exposure and safety risk using Strava Metro

C Ferster, T Nelson, K Laberee, M Winters - Applied geography, 2021 - Elsevier
Overcoming concerns about bicycling safety is critical to increasing the health benefits of
bicycling for transportation. While exposure measures are critical for monitoring and …

[图书][B] Guidebook on pedestrian and bicycle volume data collection

P Ryus, EM Ferguson, KM Laustsen, RJ Schneider… - 2014 - academia.edu
• Guidebook objectives• Guidebook organization• Guidebook development• Topics covered
in the guidebook• Related topics not covered in the guidebook• Relationship of the …