An economic valuation of urban green spaces in Kuala Lumpur city

An economic valuation of urban green spaces in Kuala Lumpur city. Pertanika Journal Social Science & Humanities, 26 (1): 28. pp. 469-490. ISSN 0128-7702 (2018)


An economic value of urban green space (UGS) in Kuala Lumpur (KL) city is estimated in this study. A global model and a local model are formulated based on hedonic price method. The global and local models were analysed with an Ordinary Least Squares (OLS) regression and a Geographically Weighted Regression (GWR) respectively. Both the models were compares to see which model offered a better result. The results of OLS regression illustrated that Titiwangsa and Forest Research Institute Malaysia (FRIM) offer the highest economic value for model 2 and 3 respectively. The results of GWR determined that the economic value of an UGS can be analysed by the region. The GWR result revealed that FRIM provides high economic value to all the residential areas in KL city. However, the economic value of Titiwangsa is not valuable for the residential areas in KL city including Mont Kiara Pines, Jinjang Selatan, Segambut Garden, Bandar Menjalara and Taman Bukit Maluri. As a conclusion, even though Titiwangsa generates the highest economic value, it is only significant at certain residential areas as proved by the local model. In terms of model application, the local model performed better than the global model.

Item Type: Article
Keywords: Economic valuation, Geographically weighted regression model, Hedonic pricing model, Urban green space, Green architecture, Market value
Taxonomy: By Subject > Architecture, Planning & Surveying > Estate Management
By Subject > Architecture, Planning & Surveying > Landscape Architecture
Agencies of Resources: Higher Institution > Public University > Universiti Putra Malaysia > UPM-MTDC Technology Center | JTS & JSSH Only | UPM/TNCPI/UPM-JD/LibraryUiTM - 16/11/2018
Local Content Hub: Subjects > Architecture, Planning & Surveying
Depositing User: Shahidatul Akhmam Rambeli
Date Deposited: 18 Sep 2020 07:19
Last Modified: 18 Sep 2020 07:19
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