Spatial variation in bicycling risk based on crowdsourced safety data
Dados Bibliográficos
| ID | 8421985 |
|---|---|
| Autores | Jaimy Fischer (0000-0002-7200-9173, Simon Fraser University), Stephanie Sersli (0000-0003-2368-4639, Université de Sherbrooke), Trisalyn Nelson (0000-0003-2537-6971, University of California, Santa Barbara, autor correspondente), Hanchen Yu (0000-0002-3246-8586, Center for Policy Analysis), Karen Laberee (0000-0003-4886-6121, University of Victoria), Moreno Zanotto (0000-0003-3184-9835, Simon Fraser University), Meghan Winters (0000-0001-9932-0255, Simon Fraser University) |
| Ano | 2022 |
| Volume | 66 |
| Fascículo | 3 |
| Páginas | 556-568 |
| Data de publicação | 2022-09-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Canadian Geographies / Géographies canadiennes (JOURNAL) |
| Identificadores do periódico | ISSN: 0008-3658 • E-ISSN: 1541-0064 |
| Editora | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/cag.12756 |
| OpenAlex | W4214714868 |
| Idioma | EN |
| Citações recebidas | 1 |
| Referências citadas | 50 |
Bicycling‐related injury data are difficult to obtain from official reports, which capture only about 20% of crashes and often lack coordinates, injury outcomes, and narratives needed for understanding where and why incidents occurred. Crowdsourced data on bicycling safety provides new opportunities for the study of bicycling injury and risk. Our goal was to quantify factors that influence the spatial variation in unsafe bicycling across a city, based on self‐reports of bicycling incidents. To meet this goal, we leveraged BikeMaps.org , a global tool for reporting bicycling safety incidents, drawing on data from Metro Vancouver. We summarized incident conditions that led to injury, developed a model to identify predictors of injury using random forest regression, and mapped bicycling incident hot spots. Our results demonstrate that injuries from bicycling incidents are associated with older and younger bicyclists, downhill slopes, parked cars, recreation and weekend rides, falls, and single bicycle incidents with infrastructure, roads, and railroads. The broad range of incidents reported to BikeMaps.org allows us to add evidence that falls and single bicycle collisions are major causes of injury. Also, we demonstrate the value of attributing safety hot spots with contextual details to identify infrastructure interventions that can reduce injury for bicyclists
Environmental health · Geography · Injury prevention · Occupational safety and health · Poison control · Psychological intervention · Recreation · Transport engineering · Engineering · Human Factors and Ergonomics · Injury Epidemiology and Prevention · Medicine · Psychology · Traffic and Road Safety · Urban Transport and Accessibility
Infrastructure, programs, and policies to increase bicycling
Cycling as a Part of Daily Life
Cycling towards a more sustainable transport future
Health benefits of cycling
Commuting by Bicycle
Random Forests
Mapping bicycling exposure and safety risk using Strava Metro
Cycling to work in 90 large American cities
Bicycling crash circumstances vary by route type
Mapping ridership using crowdsourced cycling data
Divergent infrastructure
Who were these bike lanes built for? Social-spatial inequities in Vancouver's bikeways, 2001–2016
Route Infrastructure and the Risk of Injuries to Bicyclists
A General Inductive Approach for Analyzing Qualitative Evaluation Data
| Obras citantes distintas | 1 |
|---|---|
| Citações por ano | 1 |
| Intervalo de citações | 2025 - 2025 (1) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 1 |