Abstract
Heat waves and heat-related stresses are increasing environmental concerns in urban areas. The impact of heat waves is dependent on the intensity and duration of each event and on underlying environmental and socio-demographic factors which influence population vulnerability. In order to develop effective adaptation strategies, it is important to develop a method to clearly identify the most vulnerable areas based on these factors. The purpose of this study is to develop and map a heat wave vulnerability index combined with heat exposure analysis to identify areas where interventions can be targeted. The vulnerability index was derived from a principle component analysis of eight key variables that influence heat wave vulnerability. Eight proxy measures of vulnerability were obtained from 2010 census and land-use data for the 1904 census districts of Osaka City. Three principle components explained >77 % of the variance (age, employment and education; social isolation; density and lack of green space). The components were combined and weighted to produce a vulnerability score for each census district. The vulnerability scores ranged from 0 to 106, were categorised into eight vulnerability levels and were overlaid with fine-scale air temperature observations. The resulting output identified the distribution of population vulnerability and exposure. This assessment of vulnerability, combining exposure and sensitivity components, can provide precedent for efficient, targeted action to be taken to reduce the impact of heat waves at present and under climate change.
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Acknowledgments
Thanks are expressed to the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan, and Osaka University for providing funding for this project. The authors would also like to express thanks to Dr. Keiko Masumoto at the Osaka City Institute of Public Health and Environmental Sciences for providing invaluable meteorological data.
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Macnee, R.G.D., Tokai, A. Heat wave vulnerability and exposure mapping for Osaka City, Japan. Environ Syst Decis 36, 368–376 (2016). https://doi.org/10.1007/s10669-016-9607-4
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DOI: https://doi.org/10.1007/s10669-016-9607-4