Non-locality and spillover effects of residential flood damage on community recovery: Insights from high-resolution flood claim and mobility data

被引:0
|
作者
Ma, Junwei [1 ]
Blessing, Russell [2 ]
Brody, Samuel [3 ]
Mostafavi, Ali [1 ]
机构
[1] Texas A&M Univ, Zachry Dept Civil Engn, Urban Resilience AI Lab, College Stn, TX 77843 USA
[2] Texas A&M Univ, Inst Disaster Resilient Texas, Galveston, TX USA
[3] Texas A&M Univ Galveston, Dept Marine & Coastal Environm Sci, Galveston, TX USA
基金
美国国家科学基金会;
关键词
Flood analytics; Spatial spillover; Human mobility; Residential damage; Community recovery;
D O I
10.1016/j.scs.2024.105947
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Examining the relationship between vulnerability of the built environment and community recovery is crucial for understanding disaster resilience. Yet, this relationship is rather neglected in the existing literature due to limitations in the availability of empirical datasets needed for such analysis. In this study, we combined fineresolution flood damage claim data (composed of both insured and uninsured losses) and human mobility data (composed of millions of movement trajectories) during the 2017 Hurricane Harvey in Harris County, Texas, to specify the extent to which vulnerability of the built environment (i.e., residential flood damage) affects community recovery (based on the speed of human mobility recovery) locally and regionally. We examined such relationship using spatial lag, spatial reach, and spatial decay models to measure the extent of spillover effects of residential flood damage on community recovery. The results indicate that: first, the severity of residential flood damage significantly affects the speed of community recovery. A greater extent of residential flood damage suppresses community recovery not only locally but also in the surrounding areas; second, the spillover effects of residential flood damage on community recovery decay with distance from the highly damaged areas with a spatial reach of up to 31.2 miles (49.92 Km); third, areas display heterogeneous spatial decay coefficients, which are associated with urban form and structure features such as the density of facilities and roads. These findings provide a novel data-driven characterization of the spatial spillover effects of residential flood damage on community recovery and move us closer to a better understanding of complex spatial diffusion processes that shape community resilience to hazards. This study also provides valuable insights for emergency managers and public officials seeking to mitigate the non-local effects of flood damage.
引用
收藏
页数:14
相关论文
共 10 条
  • [1] Residential Flood Loss Assessment and Risk Mapping from High-Resolution Simulation
    Afifi, Zulfahmi
    Chu, Hone-Jay
    Kuo, Yen-Lien
    Hsu, Yung-Chia
    Wong, Hock-Kiet
    Ali, Muhammad Zeeshan
    WATER, 2019, 11 (04)
  • [2] High-resolution flood mapping from low-resolution passive microwave data
    Galantowicz, JF
    IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 1499 - 1502
  • [3] Effects of digital terrain model uncertainties on high-resolution urban flood damage assessment
    Arrighi, Chiara
    Campo, Lorenzo
    JOURNAL OF FLOOD RISK MANAGEMENT, 2019, 12
  • [4] Flood Damage Modeling on the Basis of Urban Structure Mapping Using High-Resolution Remote Sensing Data
    Gerl, Tina
    Bochow, Mathias
    Kreibich, Heidi
    WATER, 2014, 6 (08) : 2367 - 2393
  • [5] Land Cover Classification from Very High-Resolution UAS Data for Flood Risk Mapping
    Belcore, Elena
    Piras, Marco
    Pezzoli, Alessandro
    SENSORS, 2022, 22 (15)
  • [6] Assessing the effects of using high-quality data and high-resolution models in valuing flood protection services of mangroves
    Menendez, Pelayo
    Losada, Inigo J.
    Torres-Ortega, Sau Prime L.
    Toimil, Alexandra
    Beck, Michael W.
    PLOS ONE, 2019, 14 (08):
  • [7] Contribution of insurance data to cost assessment of coastal flood damage to residential buildings: insights gained from Johanna (2008) and Xynthia (2010) storm events
    Andre, C.
    Monfort, D.
    Bouzit, M.
    Vinchon, C.
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2013, 13 (08) : 2003 - 2012
  • [8] Small-Area Estimations from Survey Data for High-Resolution Maps of Urban Flood Risk Perception and Evacuation Behavior
    Rufat, Samuel
    Howe, Peter D.
    ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS, 2023, 113 (02) : 425 - 447
  • [9] Hydrological Flood Simulation Using a Design Hyetograph Created from Extreme Weather Data of a High-Resolution Atmospheric General Circulation Model
    Kimura, Nobuaki
    Tai, Akira
    Chiang, Shen
    Wei, Hsiao-Ping
    Su, Yuan-Fong
    Cheng, Chao-Tzuen
    Kitoh, Akio
    WATER, 2014, 6 (02) : 345 - 366
  • [10] High-resolution sequence stratigraphy and facies assemblage in flood-dominated and mixed deltaic systems: Insights from early Eocene Figols Group, South-central Pyrenean basin
    Fonnesu, Marco
    Mutti, Emiliano
    SEDIMENTARY GEOLOGY, 2022, 439