Journal of Digital Landscape Architecture

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A Comparison of GIS-based Methods for Modelling Walking Accessibility of Parks in Guangzhou Considering Different Population Groups

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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