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Heat wave vulnerability and exposure mapping for Osaka City, Japan

Author

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  • Robert G. D. Macnee

    (Osaka University)

  • Akihiro Tokai

    (Osaka University)

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.

Suggested Citation

  • Robert G. D. Macnee & Akihiro Tokai, 2016. "Heat wave vulnerability and exposure mapping for Osaka City, Japan," Environment Systems and Decisions, Springer, vol. 36(4), pages 368-376, December.
    • Handle: RePEc:spr:envsyd:v:36:y:2016:i:4:d:10.1007_s10669-016-9607-4
    DOI: 10.1007/s10669-016-9607-4
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    References listed on IDEAS

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    1. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    2. Tabuchi, Takahiro & Fukuhara, Hiroyuki & Iso, Hiroyasu, 2012. "Geographically-based discrimination is a social determinant of mental health in a deprived or stigmatized area in Japan: A cross-sectional study," Social Science & Medicine, Elsevier, vol. 75(6), pages 1015-1021.
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    Cited by:

    1. Zachary A. Collier & James H. Lambert & Igor Linkov, 2016. "Data analysis and modeling to support policy decisions in environmental, transportation, and energy systems," Environment Systems and Decisions, Springer, vol. 36(4), pages 329-330, December.
    2. Wei Zhang & Phil McManus & Elizabeth Duncan, 2018. "A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia," IJERPH, MDPI, vol. 15(11), pages 1-20, November.
    3. Xiaojun Huang & Yanyu Li & Yuhui Guo & Dianyuan Zheng & Mingyue Qi, 2020. "Assessing Urban Risk to Extreme Heat in China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    4. Wei Zhang & Qianxing Zhao & Minjie Pei, 2021. "How much uncertainty does the choice of data transforming method brings to heat risk mapping? Evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 349-373, March.
    5. Robert G. D. Macnee & Akihiro Tokai, 2017. "The development of a method to determine the burden of climate change on different health outcomes at a local scale: a case study in Osaka Prefecture, Japan," Environment Systems and Decisions, Springer, vol. 37(3), pages 309-319, September.
    6. Fei Li & Tan Yigitcanlar & Madhav Nepal & Kien Nguyen Thanh & Fatih Dur, 2022. "Understanding Urban Heat Vulnerability Assessment Methods: A PRISMA Review," Energies, MDPI, vol. 15(19), pages 1-34, September.

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