Record nummer 2079801
Titel artikel Decision-tree analysis of factors influencing rainfall-related building structure and content damage
Auteur(s) Spekkers, M.H. ; Kok, M. ; Clemens, F.H.L.R. ; Veldhuis, J.A.E. ten
Tijdschrifttitel Natural hazards and earth system sciences / European Geosciences Union
Deel(Jaar)Nummer 14(2014)9
Paginering 2531 - 2547
Online full text
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Trefwoorden (cab) overstromingen / risicoschatting / schade / effectvoorspelling / neerslag / databanken / gegevensanalyse / bezit / verzekering / opstalverzekering
Rubrieken Financiële sector / Waterbouwkunde / Rampen
Publicatie type Artikel
Taal Engels
Toelichting (Engels) Flood-damage prediction models are essential building blocks in flood risk assessments. So far, little research has been dedicated to damage from small-scale urban floods caused by heavy rainfall, while there is a need for reliable damage models for this flood type among insurers and water authorities. The aim of this paper is to investigate a wide range of damage-influencing factors and their relationships with rainfall-related damage, using decision-tree analysis. For this, districtaggregated claim data from private property insurance companies in the Netherlands were analysed, for the period 1998-2011. The databases include claims of water-related damage (for example, damages related to rainwater intrusion through roofs and pluvial flood water entering buildings at ground floor). Response variables being modelled are average claim size and claim frequency, per district, per day. The set of predictors include rainfall-related variables derived from weather radar images, topographic variables from a digital terrain model, building-related variables and socioeconomic indicators of households. Analyses were made separately for property and content damage claim data.
Betrokken instanties Technische Universiteit Delft, Faculteit der Civiele Techniek en Geowetenschappen, Afdeling Watermanagement
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