
The contribution of urban green space (UGS) to an ecologically and socially sustainable city has been recognized by a large body of research. Parks, as a multifunctional types of UGS, provide places for a range of daily activities. The ability to access parks by residents is important for the full use of their functions. Using a case study from Guangzhou, China, we investigate perceived accessibility among different population groups by using questionnaires both onsite and online. In addition, we compare modelling park accessibility using four accessibility measurements using both linear and network distance. We found that whilst age was significantly correlated to the walking time to urban parks, both gender and the level of education were not significantly correlated. Additionally, we identify differences among different accessibility modelling methods, which help specify a more scientific selection of accessibility measuring methods.
Autor / Author: | Ma, Yueshan; Brindley, Paul; Lange, Eckart |
Institution / Institution: | University of Sheffield, Sheffield/UK; University of Sheffield, Sheffield/UK; University of Sheffield, Sheffield/UK |
Seitenzahl / Pages: | 11 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 7-2022 |
Tagung / Conference: | Digital Landscape Architecture 2022 – Hybrid Landscapes |
Veranstaltungsort, -datum / Venue, Date: | Harvard University, Cambridge Mass, USA 09-06-22 - 10-06-22 |
Schlüsselwörter (de): | |
Keywords (en): | Park accessibility, comparison of modelling approaches, population groups, GIS-based |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537724026 |
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