Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data
Tipo de publicação
Artigo
Veículo
International Journal of Environmental Research and Public Health
Tipo de autoria
Pessoa Física
Nome do autor
Yeran Sun e Amin Mobasheri
Língua
Inglês
Abrangência geográfica
País estrangeiro específico
País
Inglaterra
Ano da publicação
2017
Palavra chave 1
Dados
Palavra chave 2
georreferenciamento
Palavra chave 3
Mapeamento
Palavra chave 4
Poluição
Palavra chave 5
strava
Palavra chave 6
Strava Metro
Palavra chave 7
Sustentabilidade
Descrição
With the development of information and communications technology, user-generated content and crowdsourced data are playing a large role in studies of transport and public health. Recently, Strava, a popular website and mobile app dedicated to tracking athletic activity (cycling and running), began offering a data service called Strava Metro, designed to help transportation researchers and urban planners to improve infrastructure for cyclists and pedestrians. Strava Metro data has the potential to promote studies of cycling and health by indicating where commuting and non-commuting cycling activities are at a large spatial scale (street level and intersection level). The assessment of spatially varying effects of air pollution during active travel (cycling or walking) might benefit from Strava Metro data, as a variation in air pollution levels within a city would be expected. In this paper, to explore the potential of Strava Metro data in research of active travel and health, we investigate spatial patterns of non-commuting cycling activities and associations between cycling purpose (commuting and non-commuting) and air pollution exposure at a large scale. Additionally, we attempt to estimate the number of non-commuting cycling trips according to environmental characteristics that may help identify cycling behavior.