Lee Whanhee, Choi Munjeong, Bell Michelle L, Kang Cinoo, Jang Jeongju, Song Insung, Kim Yong-Ook, Ebi Kristie, Kim Ho
School of the Environment, Yale University, New Haven, CT, USA.
Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, South Korea.
Int J Epidemiol. 2022 Feb 18;51(1):111-121. doi: 10.1093/ije/dyab148.
Although urbanization is often an important topic in climate change studies, the complex effect of urbanization on heat vulnerability in urban and rural areas has rarely been studied. We investigated the disparate effects of urbanization on heat vulnerability in urban and rural areas, using nationwide data.
We collected daily weather data for all 229 administrative districts in South Korea (2011-17). Population density was applied as an urbanization indicator. We calculated the heat-mortality risk using a distributed lag nonlinear model and analysed the relationship with population density. We also examined district characteristics that can be related to the spatial heterogeneity in heat-mortality risk.
We found a U-shaped association between population density and heat-mortality risk, with the highest risk for rural populations; in urban areas, risk increases with increasing population density. Higher heat-mortality risk was associated with a lower number of hospital beds per person and higher percentage of people requiring recuperation. The association between hospital beds and heat-mortality risk was prominent in high-density urban areas, whereas the association between the percentage of people requiring recuperation and heat-mortality risk was pronounced in rural areas.
Our findings indicate that the association between population density and heat-mortality risk is different in urban and rural areas, and that district characteristics related to heat-mortality risk also differ by urbanicity. These results can contribute to understanding the complex role of urbanization on heat vulnerability and can provide evidence to policy makers for prioritizing resources.
尽管城市化通常是气候变化研究中的一个重要课题,但城市化对城乡地区热脆弱性的复杂影响鲜有研究。我们利用全国性数据调查了城市化对城乡地区热脆弱性的不同影响。
我们收集了韩国所有229个行政区2011 - 2017年的每日天气数据。人口密度被用作城市化指标。我们使用分布滞后非线性模型计算热死亡风险,并分析其与人口密度的关系。我们还研究了可能与热死亡风险空间异质性相关的地区特征。
我们发现人口密度与热死亡风险之间呈U形关联,农村人口风险最高;在城市地区,风险随着人口密度的增加而增加。较高的热死亡风险与人均病床数较少以及需要康复的人口比例较高有关。病床与热死亡风险之间的关联在高密度城市地区较为突出,而需要康复的人口比例与热死亡风险之间的关联在农村地区较为明显。
我们的研究结果表明,人口密度与热死亡风险之间的关联在城乡地区有所不同,而且与热死亡风险相关的地区特征也因城市化程度而异。这些结果有助于理解城市化对热脆弱性的复杂作用,并可为政策制定者优先分配资源提供依据。