Using social media to understand drivers of urban park visitation in the Twin Cities, MN
Autor: | Marie L. Donahue, Spencer A. Wood, Zoé A. Hamstead, David Fisher, Bonnie L. Keeler, Timon McPhearson |
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Rok vydání: | 2018 |
Předmět: |
Ecology
0211 other engineering and technologies 021107 urban & regional planning 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Metropolitan area Ecosystem services Urban Studies Survey methodology Geography Urban planning Scale (social sciences) Social media Twin cities Recreation Environmental planning 0105 earth and related environmental sciences Nature and Landscape Conservation |
Zdroj: | Landscape and Urban Planning. 175:1-10 |
ISSN: | 0169-2046 |
DOI: | 10.1016/j.landurbplan.2018.02.006 |
Popis: | 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. |
Databáze: | OpenAIRE |
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