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A Global Analysis of the Relationship Between Urbanization and Fatalities in Earthquake-Prone Areas

摘要Urbanization can be a challenge and an oppor-tunity for earthquake risk mitigation.However,little is known about the changes in exposure(for example,pop-ulation and urban land)to earthquakes in the context of global urbanization,and their impacts on fatalities in earthquake-prone areas.We present a global analysis of the changes in population size and urban land area in earth-quake-prone areas from 1990 to 2015,and their impacts on earthquake-related fatalities.We found that more than two thirds of population growth(or 70%of total population in 2015)and nearly three quarters of earthquake-related deaths(or 307,918 deaths)in global earthquake-prone areas occurred in developing countries with an urbaniza-tion ratio(percentage of urban population to total popula-tion)between 20 and 60%.Holding other factors constant,population size was significantly and positively associated with earthquake fatalities,while the area of urban land was negatively related.The results suggest that fatalities increase for areas where the urbanization ratio is low,but after a ratio between 40 and 50%occurs,earthquake fatalities decline.This finding suggests that the resistance of building and infrastructure is greater in countries with higher urbanization ratios and highlights the need for fur-ther investigation.Our quantitative analysis is extended into the future using Shared Socioeconomic Pathways to reveal that by 2050,more than 50%of the population increase in global earthquake-prone areas will take place in a few developing countries(Pakistan,India,Afghanistan,and Bangladesh)that are particularly vulnerable to earth-quakes.To reduce earthquake-induced fatalities,enhanced resilience of buildings and urban infrastructure generally in these few countries should be a priority.

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作者单位 State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,Beijing 100875,China;School of Natural Resources,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China [1] Fenner School of Environment and Society,Australian National University,Canberra,ACT 2601,Australia [2] Department of Geography and Environmental Management,University of Waterloo,Waterloo,Ontario N2L 3G1,Canada [3] State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,Beijing 100875,China;Academy of Disaster Reduction and Emergency Management,Ministry of Emergency Management and Ministry of Education,Beijing Normal University,Beijing 100875,China;School of Geographical Science,Qinghai Normal University,Xining 810016,China [4] Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China [5] Department of Geography,University of Washington,Seattle,WA 98195,USA [6] School of Social Sciences,Nanyang Technological University,Singapore 639818,Singapore [7] State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,Beijing 100875,China;Academy of Disaster Reduction and Emergency Management,Ministry of Emergency Management and Ministry of Education,Beijing Normal University,Beijing 100875,China [8] Geophysical Institute and Center for Disaster Management and Risk Reduction Technology,Karlsruhe Institute of Technology(KIT),76344 Karlsruhe,Germany [9]
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发布时间 2022-04-28(万方平台首次上网日期,不代表论文的发表时间)
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国际灾害风险科学学报(英文版)

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