Using social media to understand drivers of urban park visitation in the Twin Cities, MN

• Published in: Landscape and urban planning 2018-07, Vol.175, p.1-10
• Main Authors: Donahue, Marie L., Keeler, Bonnie L., Wood, Spencer A., Fisher, David M., Hamstead, Zoé A., McPhearson, Timon
• Format: Article
• Language: English
• Subjects: Cultural ecosystem services; Green space; Park use; Recreation; Spatial analysis; Urban planning
• ISSN: 0169-2046; 1872-6062; 1872-6062
• DOI: 10.1016/j.landurbplan.2018.02.006

•We used social media data to measure patterns of urban park visitation and assess factors influencing use.•Social media-derived estimates were validated as reliable proxy for survey-derived visitation.•Water features, amenities, trails, and population density are shown to be important factors for urban park visitation. Green space and parks in urban environments provide a range of ecosystem services and public benefits. However, planners and park managers can lack tools and resources to gather local information on how parks are used and what makes them desirable places for recreation and a wide variety of uses. Traditional survey methods to monitor park use and user preferences can be costly, time consuming, and challenging to apply at scale. Here, we overcome this limitation by using geotagged social media data to assess patterns of visitation to urban and peri-urban green space across park systems in the metropolitan area of the Twin Cities, Minnesota, USA. We find that parks with nearby water features, more amenities, greater accessibility from the presence of trails, and that are located within neighborhoods with higher population density, are associated with higher rates of visitation. As cities grow and shifts in demographics occur, more responsive management of public green space will become increasingly important to ensure urban parks provide ecosystem services and meet users’ needs. Using social media data to rapidly assess park use at a lower cost than traditional surveys has the potential to inform public green space management with targeted information on user behavior and values of urban residents.