Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data

doi:10.3390/ijerph14060644

	Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data
	Sun, Yeran 1; Du, Yunyan 2; Wang, Yu 3; Zhuang, Liyuan 3
刊名	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
	2017-06-01
卷号	14 期号:6 页码:12
关键词	cycling crowdsourced geographic information Strava street level big data
ISSN号	1660-4601
DOI	10.3390/ijerph14060644
通讯作者	Sun, Yeran(yeran.sun@glasgow.ac.uk)
英文摘要	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.
资助项目	UK Economic and Social Research Council[ES/L011921/1]
WOS关键词	VOLUNTEERED GEOGRAPHIC INFORMATION ; BUILT ENVIRONMENT ; PHYSICAL-ACTIVITY ; HEALTH-BENEFITS ; BICYCLE INFRASTRUCTURE ; WALKING ; TRANSPORTATION ; ADULTS ; TRAVEL ; WORK
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000404107600092
资助机构	UK Economic and Social Research Council
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/63142]
专题	中国科学院地理科学与资源研究所
通讯作者	Sun, Yeran
作者单位	1.Univ Glasgow, Sch Social & Polit Sci, Urban Big Data Ctr, Glasgow G12 8RZ, Lanark, Scotland 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Glasgow, Sch Social & Polit Sci, Urban Studies, Glasgow G12 8RS, Lanark, Scotland
推荐引用方式 GB/T 7714	Sun, Yeran,Du, Yunyan,Wang, Yu,et al. Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2017,14(6):12.
APA	Sun, Yeran,Du, Yunyan,Wang, Yu,&Zhuang, Liyuan.(2017).Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,14(6),12.
MLA	Sun, Yeran,et al."Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 14.6(2017):12.