Exposure and social vulnerability of French cities to flood risk: a spatiotemporal analysis at a fine scale (1999-2017)

被引:0
作者
Fujiki, Kenji [1 ]
Finance, Olivier [1 ]
机构
[1] Univ Strasbourg, Lab Image Ville Environm, UMR 7362 CNRS, Strasbourg, France
来源
CYBERGEO-EUROPEAN JOURNAL OF GEOGRAPHY | 2022年
关键词
exposure; vulnerability; flood; city; France; disaggregated approach; ENVIRONMENTAL INEQUALITY; NEW-ORLEANS; POPULATION; HOMEOWNERSHIP; DISASTERS; HAZARDS; CONTEXT; INTERPOLATION; INFORMATION; RECOVERY;
D O I
10.4000/cybergeo.39179
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
More than half of the municipalities in France are affected by flood risk. In this context, our study aims to measure both the physical and social vulnerability of urban populations to flooding over the last twenty years (1999-2017). Physical vulnerability is defined here by the exposure of populations to the flood hazard, and social vulnerability by the propensity of populations to suffer the negative consequences of a major flood over the long term. The measure of vulnerability is based on a very fine-scale disaggregation of census data. The results reveal a phenomenon of accumulation of exposure and social vulnerability at the national scale: social vulnerability indicators are systematically higher in flood-prone areas than outside flood-prone areas. However, this accumulation does not seem to worsen over the study period. For the indicators of social vulnerability, the gap between flood-prone and non-flood-prone areas does not increase, while for exposure, the population growth in flood-prone areas remains lower than overall demographic growth. However, these general observations conceal very different situations depending on the city, and our analysis highlights the importance of a geographical approach to vulnerability.
引用
收藏
页数:35
相关论文
共 83 条
[1]  
Aldrich D. P., 2012, Building Resilience: Social Capital In Post-Disaster Recovery, DOI [10.7208/chicago/9780226012896.001.0001, DOI 10.7208/CHICAGO/9780226012896.001.0001]
[2]   IT'S WHO YOU KNOW: FACTORS DRIVING RECOVERY FROM JAPAN'S 11 MARCH 2011 DISASTER [J].
Aldrich, Daniel P. .
PUBLIC ADMINISTRATION, 2016, 94 (02) :399-413
[3]  
Alexander D., 2000, CONFRONTING CATASTRO
[4]  
Antoni V., 2020, Risques climatiques: Six Francais sur dix sont d'ores et deja concernes
[5]   A high-resolution population grid map for Europe [J].
Batista e Silva, Filipe ;
Gallego, Javier ;
Lavalle, Carlo .
JOURNAL OF MAPS, 2013, 9 (01) :16-28
[6]   Flood Vulnerability Analysis in Urban Context: A Socioeconomic Sub-Indicators Overview [J].
Bigi, Velia ;
Comino, Elena ;
Fontana, Magda ;
Pezzoli, Alessandro ;
Rosso, Maurizio .
CLIMATE, 2021, 9 (01) :1-18
[7]   Population Estimation Using a 3D City Model: A Multi-Scale Country-Wide Study in the Netherlands [J].
Biljecki, Filip ;
Ohori, Ken Arroyo ;
Ledoux, Hugo ;
Peters, Ravi ;
Stoter, Jantien .
PLOS ONE, 2016, 11 (06)
[8]   Small-area analysis of social inequalities in residential exposure to road traffic noise in Marseilles, France [J].
Bocquier, Aurelie ;
Cortaredona, Sebastien ;
Boutin, Celine ;
David, Aude ;
Bigot, Alexis ;
Chaix, Basile ;
Gaudart, Jean ;
Verger, Pierre .
EUROPEAN JOURNAL OF PUBLIC HEALTH, 2013, 23 (04) :540-546
[9]   REGISTERED CAPITAL [J].
BOURDIEU, P .
ACTES DE LA RECHERCHE EN SCIENCES SOCIALES, 1980, (31) :2-3
[10]   The effects of informal neighborhood bonding social capital and neighborhood context on homeownership for families living in poverty [J].
Brisson, Daniel ;
Usher, Charles L. .
JOURNAL OF URBAN AFFAIRS, 2007, 29 (01) :65-75