Geolocated social media as a rapid indicator of park visitation and equitable park access. (November 2018)

• Record Type: Journal Article
• Authors: Hamstead, Zoé A.; Fisher, David; Ilieva, Rositsa T.; Wood, Spencer A.; McPhearson, Timon; Kremer, Peleg
• Is Part Of: Computers, environment and urban systems. Volume 72(2018)
• Page Start: 38
• Page End: 50
• Publication Date: 2018-11
• Subjects: Geolocated social media -- Urban parks -- Park accessibility -- Visitation -- Equity planning -- Big data; City planning -- Data processing -- Periodicals; Regional planning -- Data processing -- Periodicals; 303.4834
• DOI: 10.1016/j.compenvurbsys.2018.01.007
• Languages: English
• ISSNs: 0198-9715

Abstract

Abstract: Understanding why some parks are used more regularly or intensely than others can inform ways in which urban parkland is developed and managed to meet the needs of a rapidly expanding urban population. Although geolocated social media (GSM) indicators have been used to examine park visitation rates, studies applying this approach are generally limited to flagship parks, national parks, or a small subset of urban parks. Here, we use geolocated Flickr and Twitter data to explore variation in use across New York City's 2143 diverse parks and model visitation based on spatially-explicit park characteristics and facilities, neighborhood-level accessibility features and neighborhood-level demographics. Findings indicate that social media activity in parks is positively correlated with proximity to public transportation and bike routes, as well as particular park characteristics such as water bodies, athletic facilities, and impervious surfaces, but negatively associated with green space and increased proportion of minority ethnicity and minority race in neighborhoods in which parks are located. Contrary to previous studies which describe park visitation as a form of nature-based recreation, our findings indicate that the kinds of green spaces present in many parks may not motivate visitation. From a social equity perspective, our findings may imply that parks in high-minority neighborhoods are not as accessible, do not accommodate as many visitors, and/or are of lower quality than those in low-minority neighborhoods. These implications are consistent with previous studies showing that minority populations disproportionately experience barriers to park access. In applying GSM data to questions of park access, we demonstrate a rapid, big data approach for providing information crucial for park management in a way that is less resource-intensive than field surveys. Highlights: We analyze geographic human visitation dynamics in all New York City parks using Twitter and Flickr data Park visitation increases with proximity to public transportation, water bodies, athletic fields and impervious surfaces Park visitation decreases with green space and proportion of minority ethnicity and minority race in neighborhoods of parks Location-based social media data can be used as a rapid indicator for citywide park visitation to inform management