Please use this identifier to cite or link to this item:
Title: Spatially analyzing the inequity of the Hong Kong urban heat island by socio-demographic characteristics
Authors: Wong, MS 
Peng, F
Zou, B
Shi, WZ 
Wilson, GJ
Issue Date: 2016
Source: International journal of environmental research and public health, Mar. 2016, v. 13, no. 3, p. 1-17
Abstract: Recent studies have suggested that some disadvantaged socio-demographic groups face serious environmental-related inequities in Hong Kong due to the rising ambient urban temperatures. Identifying heat-vulnerable groups and locating areas of Surface Urban Heat Island (SUHI) inequities is thus important for prioritizing interventions to mitigate death/illness rates from heat. This study addresses this problem by integrating methods of remote sensing retrieval, logistic regression modelling, and spatial autocorrelation. In this process, the SUHI effect was first estimated from the Land Surface Temperature (LST) derived from a Landsat image. With the scale assimilated to the SUHI and socio-demographic data, a logistic regression model was consequently adopted to ascertain their relationships based on Hong Kong Tertiary Planning Units (TPUs). Lastly, inequity "hotspots" were derived using spatial autocorrelation methods. Results show that disadvantaged socio-demographic groups were significantly more prone to be exposed to an intense SUHI effect: over half of 287 TPUs characterized by age groups of 60+ years, secondary and matriculation education attainment, widowed, divorced and separated, low and middle incomes, and certain occupation groups of workers, have significant Odds Ratios (ORs) larger than 1.2. It can be concluded that a clustering analysis stratified by age, income, educational attainment, marital status, and occupation is an effective way to detect the inequity hotspots of SUHI exposure. Additionally, inequities explored using income, marital status and occupation factors were more significant than the age and educational attainment in these areas. The derived maps and model can be further analyzed in urban/city planning, in order to mitigate the physical and social causes of the SUHI effect.
Keywords: Environmental inequity
Land surface temperature
Socio-demographic characteristic
Spatial autocorrelation
Urban heat island
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: International journal of environmental research and public health 
ISSN: 1661-7827
EISSN: 1660-4601
DOI: 10.3390/ijerph13030317
Rights: © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (
The following publication Wong, M. S., Peng, F., Zou, B., Shi, W. Z., & Wilson, G. J. (2016). Spatially analyzing the inequity of the Hong Kong urban heat island by socio-demographic characteristics. International Journal of Environmental Research and Public Health, 13(3), (Suppl. ), - is available at
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Jul 12, 2020


Last Week
Last month
Citations as of Jul 10, 2020

Page view(s)

Last Week
Last month
Citations as of Jul 13, 2020

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.