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Estimating daily bicycle counts with Strava data in rural and urban locations · Study

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ArticleEstimating daily bicycle counts with Strava data in rural and urban locations

Gilles Jean-Louis2023

Article2023

Estimating daily bicycle counts with Strava data in rural and urban locations

Gilles Jean-Louis · Michelle Eckhardt · Simone A. Podschun · Judith Mahnkopf · Markus Venohr

16 citations·0/0 files stored·Travel Behaviour and Society

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Urban Transport and Accessibility Transportation Planning and Optimization Human Mobility and Location-Based Analysis

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References

2017Cycling towards a more sustainable transport future 2014Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events 2011SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE 2016Mapping ridership using crowdsourced cycling data 2012Estimating use of non-motorized infrastructure: Models of bicycle and pedestrian traffic in Minneapolis, MN 2020Strava Metro data for bicycle monitoring: a literature review 2007Weather and cycling—a first approach to the effects of weather conditions on cycling 2023Bias and precision of crowdsourced recreational activity data from Strava

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2025Evaluating the influence of environmental factors and route characteristics on leisure-oriented active travel: A case study in Skåne Province 2024Scalability challenges of machine learning models for estimating walking and cycling volumes in large networks

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Details

Year2023

Typearticle

Published2023-10-19

VenueTravel Behaviour and Society

ISSN-L2214-367X

Languageen

Citations16

Files0 public / 0

ShelfUrban Transport and Accessibility

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doi10.1016/j.tbs.2023.100694

openalex_workW4387794958

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