Ma, Y., Brindley, P. orcid.org/0000-0001-9989-9789 and Lange, E. orcid.org/0000-0002-2917-697X (2022) A comparison of GIS-based methods for modelling walking accessibility of parks in Guangzhou considering different population groups. In: Journal of Digital Landscape Architecture. Digital Landscape Architecture 2022 – Hybrid Landscapes, 09-10 Jun 2022, Cambridge Mass, USA. , pp. 269-279.
Abstract
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.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © Wichmann Verlag. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by-nd/4.0/). |
Keywords: | Park accessibility; comparison of modelling approaches; population groups; GIS-based |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Landscape Architecture (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Sep 2022 10:41 |
Last Modified: | 01 Feb 2023 18:22 |
Published Version: | https://gispoint.de/gisopen-paper/7372-a-compariso... |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.14627/537724026 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:190806 |