scholarly journals Estimating the Effects of Light Rail Transit (LRT) System on Residential Property Values Using Geographically Weighted Regression (GWR)

2014 ◽  
Vol 8 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Mohd Faris Dziauddin ◽  
Neil Powe ◽  
Seraphim Alvanides
Keyword(s):  
Geographically Weighted Regression ◽  
Property Values ◽  
Weighted Regression ◽  
Residential Property ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Residential Property Values

scholarly journals The impact of urban light rail transit on double-story terraced property values in the Greater Kuala Lumpur, Malaysia

2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Mohd Faris Dziauddin
Keyword(s):  
Property Values ◽  
Urban Rail Transit ◽  
Urban Region ◽  
Residential Property ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Kuala Lumpur ◽  
Residential Property Values ◽  
The Impact

Introducing a rail transit system into an urban region is expected to increase land values, and subsequently, residential property values. Despite this general belief, there has been limited research on the impact of proximity to urban light rail transit stations in developing countries setting. This study, therefore, investigates the impact of proximity to urban light rail transit on double-story terraced property values in the Greater Kuala Lumpur, Malaysia, using hedonic pricing model. The findings suggest urban light rail transit has a positive and significant impact on surrounding double-story terraced residential property values – estimated at a premium of 12.3% and 9.8% for properties located up to 1000 m and 1001 – 2000 m to the nearest light rail transit station respectively. The findings of the study are useful for investors and developers, namely to build more houses near urban rail transit infrastructure since they lead to significant appreciation in value.

scholarly journals Use of Geographically Weighted Regression (GWR) Method to Estimate the Effects of Location Attributes on the Residential Property Values

2017 ◽  
Vol 49 (1) ◽  
pp. 97 ◽  
Author(s):  
Mohd Faris Dziauddin ◽  
Zulkefli Idris
Keyword(s):  
Geographically Weighted Regression ◽  
Geographical Area ◽  
Property Values ◽  
Weighted Regression ◽  
Residential Property ◽  
Spatial Effects ◽  
Kuala Lumpur ◽  
Global Parameter ◽  
Residential Property Values ◽  
The Government

This study estimates the effect of locational attributes on residential property values in Kuala Lumpur, Malaysia. Geographically weighted regression (GWR) enables the use of the local parameter rather than the global parameter to be estimated, with the results presented in map form. The results of this study reveal that residential property values are mainly determined by the property’s physical (structural) attributes, but proximity to locational attributes also contributes marginally. The use of GWR in this study is considered a better approach than other methods to examine the effect of locational attributes on residential property values. GWR has the capability to produce meaningful results in which different locational attributes have differential spatial effects across a geographical area on residential property values. This method has the ability to determine the factors on which premiums depend, and in turn it can assist the government in taxation matters.

Light Rail Transit and Property Values in Kitchener–Waterloo

2019 ◽  
Vol 45 (1) ◽  
pp. 32-47
Author(s):  
David R. Johnson ◽  
Joseline Nicholas
Keyword(s):  
Property Values ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit
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