Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163403
Title: Towards a “City in Nature”: evaluating the cultural ecosystem services approach using online public participation GIS to support urban green space management
Authors: Koh, Yi Fan
Loc, Ho Huu
Park, Edward
Keywords: Engineering::Environmental engineering
Issue Date: 2022
Source: Koh, Y. F., Loc, H. H. & Park, E. (2022). Towards a “City in Nature”: evaluating the cultural ecosystem services approach using online public participation GIS to support urban green space management. Sustainability, 14(3), 1499-. https://dx.doi.org/10.3390/su14031499
Project: SUG-NAP EP3/19 
#Tier1 RT 06/19 
#Tier1 2021-T1-001-056 
#Tier2 MOE-T2EP402A20-0001 
Journal: Sustainability 
Abstract: The concept of cultural ecosystem services has been increasingly influential in both environmental research and policy decision making, such as for urban green spaces. However, its popular definitions tend to conflate “services” with “benefits”, making it challenging for planners to employ them directly to manage urban green spaces. Thus, attempts have been made to redefine cultural ecosystem services as the function of cultural activities in environmental spaces which result in people’s enjoyment of cultural ecosystem benefits. The operability of such a redefinition needs to be evaluated, which this study seeks to achieve with Bishan-Ang Mo Kio Park in Singapore presenting itself as a prime case study research area. Transdisciplinary mixed methods of a public participation geographic information system, which leverages on spatial data from public park users, and social media text mining analysis via Google reviews were used. A wealth of cultural ecosystem services and benefits were reported in the park, especially the recreational and aesthetic services and experiential benefits. Policy and methodological implications for future research and urban park developments were considered. Overall, this paper would recommend the employment of the redefined cultural ecosystem services approach to generate relational, data-driven and actionable insights to better support future urban green space management.
URI: https://hdl.handle.net/10356/163403
ISSN: 2071-1050
DOI: 10.3390/su14031499
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ASE Journal Articles
EOS Journal Articles

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