ArticleInternational journal of environmental research and public health2017
Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data.
Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Objectively measuring the association between the built environment and physical activity: a systematic review and reporting framework.The international journal of behavioral nutrition and physical activity · 2022Pooled it
- Association between passively collected walking and bicycling data and purposefully collected active commuting survey data-United States, 2019.Health & place · 2023Article
- The role of neighbourhood design in cycling activity during COVID-19: An exploration of the Melbourne experience.Journal of transport geography · 2023Article
- Supplementing Environmental Assessments with Cumulative Effects Scenario Modeling for Grizzly Bear Connectivity in the Bow Valley, Alberta, Canada.Environmental management · 2022Article
- Smartphone app reveals that lynx avoid human recreationists on local scale, but not home range scale.Scientific reports · 2022Article
- Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach.International journal of environmental research and public health · 2021Article
- Virtual Reality Representations of Nature to Improve Well-Being amongst Older Adults: a Rapid Review.Journal of technology in behavioral science · 2021Review
- Technological innovations in the recreational fishing sector: implications for fisheries management and policy.Reviews in fish biology and fisheries · 2021Review
- Eye-Level Street Greenery and Walking Behaviors of Older Adults.International journal of environmental research and public health · 2020Article
- Understanding Potential Exposure of Bicyclists on Roadways to Traffic-Related Air Pollution: Findings from El Paso, Texas, Using Strava Metro Data.International journal of environmental research and public health · 2019Article
- Social media captures demographic and regional physical activity.BMJ open sport & exercise medicine · 2019Article
- How has big data contributed to obesity research? A review of the literature.International journal of obesity (2005) · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Policymakers pay much attention to effectively increasing frequency of people's cycling in the context of developing sustainable and green cities. Investigating associations of environmental characteristics and cycling behaviour could offer implications for changing urban infrastructure aiming at encouraging active travel. However, earlier examinations of associations between environmental characteristics and active travel behaviour are limited by low spatial granularity and coverage of traditional data. Crowdsourced geographic information offers an opportunity to determine the fine-grained travel patterns of people. Particularly, Strava Metro data offer a good opportunity for studies of recreational cycling behaviour as they can offer hourly, daily or annual cycling volumes with different purposes (commuting or recreational) in each street across a city. Therefore, in this study, we utilised Strava Metro data for investigating associations between environmental characteristics and recreational cycling behaviour at a large spatial scale (street level). In this study, we took account of population density, employment density, road length, road connectivity, proximity to public transit services, land use mix, proximity to green space, volume of motor vehicles and traffic accidents in an empirical investigation over Glasgow. Empirical results reveal that Strava cyclists are more likely to cycle for recreation on streets with short length, large connectivity or low volume of motor vehicles or on streets surrounded by residential land.
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Registered trials
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