Evaluating Hail Damage Using Property Insurance Claims Data

被引:58
|
作者
Brown, Tanya M. [1 ]
Pogorzelski, William H. [1 ]
Giammanco, Ian M. [1 ]
机构
[1] Insurance Inst Business & Home Safety, Richburg, SC 29729 USA
关键词
Hail; Statistics; Damage assessment; Geographic information systems (GIS); Insurance; Risk assessment; POLARIMETRIC RADAR CHARACTERISTICS; SIGNATURES; SUPERCELL; ALGORITHM; WSR-88D;
D O I
10.1175/WCAS-D-15-0011.1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A series of thunderstorms on 24 May 2011 produced significant hail in the Dallas-Fort Worth (DFW) metroplex, resulting in an estimated $876.8 million (U.S. dollars) in insured losses to property and automobiles, according to the Texas Department of Insurance. Insurance claims and policy-in-force data were obtained from five insurance companies for more than 67 000 residential properties located in 20 ZIP codes. The methodology for selecting the 20 ZIP codes is described. This study evaluates roofing material type with regard to resiliency to hailstone impacts and relative damage costs associated with roofing systems versus wall systems. A comparison of Weather Surveillance Radar-1988 Doppler (WSR-88D) radar-estimated hail sizes and damage levels seen in the claims data is made. Recommendations for improved data collection and quality of insurance claims data, as well as guidance for future property insurance claims studies, are summarized. Studies such as these allow insurance underwriters and claims adjusters to better evaluate the relative performance and vulnerability of various roofing systems and other building components as a function of hail size. They also highlight the abilities and limitations of utilizing radar horizontal reflectivity-based hail sizes, local storm reports, and Storm Data for claims processing. Large studies of this kind may be able to provide guidance to consumers, designers, and contractors concerning building product selections for improved resiliency to hailstorms, and give a glimpse into how product performance varies with storm exposure. Reducing hail losses would reduce the financial burden on property owners and insurers and reduce the amount of building materials being disposed of after storms.
引用
收藏
页码:197 / 210
页数:14
相关论文
共 50 条
  • [31] ASSIGNMENT OF LIABILITY INSURANCE RIGHTS FOR LATENT INJURY AND DAMAGE CLAIMS
    Waldron, John T., III
    Stanton, Andrew R.
    CONNECTICUT INSURANCE LAW JOURNAL, 2008, 14 (02): : 389 - 433
  • [32] INSURANCE CLAIMS FROM EARTHQUAKE DAMAGE IN RELATION TO SOIL PATTERN
    NORTHEY, RD
    GEODERMA, 1973, 10 (1-2) : 151 - 159
  • [33] A statistical analysis of insurance damage claims related to rainfall extremes
    Spekkers, M. H.
    Kok, M.
    Clemens, F. H. L. R.
    ten Veldhuis, J. A. E.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2013, 17 (03) : 913 - 922
  • [34] How many hospital insurance claims are based on infection control failures? A data analysis of hospital insurance claims
    Moench, N.
    Breier, A. -C.
    Weitzel-Kage, D.
    Gausmann, P.
    Jaklin, J.
    Gastmeier, P.
    Geffers, C.
    DEUTSCHE MEDIZINISCHE WOCHENSCHRIFT, 2011, 136 (27) : 1413 - 1416
  • [35] Detection of hail using satellite data
    BauerMessmer, B
    PROGRESS IN ENVIRONMENTAL REMOTE SENSING RESEARCH AND APPLICATIONS, 1996, : 447 - 451
  • [36] Key considerations when using health insurance claims data in advanced data analyses: an experience report
    Konrad, Renata
    Zhang, Wenchang
    Bjarndottir, Margret
    Proano, Ruben
    HEALTH SYSTEMS, 2020, 9 (04) : 317 - 325
  • [37] An alternative property for evaluating sample size for normal data using preliminary data
    Fay, Michael P.
    CLINICAL TRIALS, 2013, 10 (06) : 990 - 991
  • [38] Analysis of skewed data by using compound Poisson exponential distribution with applications to insurance claims
    Meraou, Mohammed A.
    Al-Kandari, Noriah M.
    Raqab, Mohammad Z.
    Kundu, Debasis
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2022, 92 (05) : 928 - 956
  • [39] Fraud Detection and Frequent Pattern Matching in Insurance claims using Data Mining Techniques
    Verma, Aayushi
    Taneja, Anu
    Arora, Anuja
    2017 TENTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3), 2017, : 84 - 90
  • [40] Reduction in data lag using optum pre-adjudicated health insurance claims
    Ogilvie, Rachel
    Song, Jennifer
    Zhou, Cindy
    Lloyd, Patricia
    Wong, Hui-Lee
    Clarke, Tainya
    Shoaibi, Azadeh
    Amend, Kandace
    Seeger, John
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2022, 31 : 624 - 624