Vitality of Urban Parks and Its Influencing Factors from the Perspective of Recreational Service Supply, Demand, and Spatial Links

Int J Environ Res Public Health. 2020 Mar 2;17(5):1615. doi: 10.3390/ijerph17051615.

Abstract

Urban parks provide multiple non-material benefits to human health and well-being; measuring these "intangible" benefits mainly co-produced by the spatial interactivity between dwellers and urban parks is vital for urban green space management. This paper introduced "vitality" to measure the intangible benefits of urban parks and constructed a straightforward and spatially explicit approach to assess the park vitality based on visiting intensity and recreational satisfaction rate. Freely available data of check-in comments on parks, points-of-interest (POIs), and other multi-source data from Beijing were used to assess the urban park vitality and explore the factors influencing it from the perspectives of recreational service supply, demand, and spatial linking characteristics. We found that the urban park vitalities decreased along the urban-rural gradient. The presence of water and facility density in the parks have significant positive impacts on park vitality, and high population density nearby was a positive factor. Moreover, the external higher levels of the POI-based urban function mix and density, as well as developed public transportation, were strongly associated with greater park vitality. Our research proposed a feasible and effective method to assess the park vitality, and the findings from this study have significant implications for optimizing the spatial configuration of urban parks.

Keywords: Beijing; POI-based urban function mix; park vitality; recreational services; volunteered check-in data.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Beijing
  • Humans
  • Parks, Recreational* / statistics & numerical data
  • Parks, Recreational* / supply & distribution
  • Personal Satisfaction
  • Population Density
  • Recreation
  • Transportation
  • Urban Population / statistics & numerical data