Use Of Insurance Data Research Articles

The use of insurance data in the analysis of Surface Water Flood events – A systematic review

This study employs a systematic literature review to investigate how insurance data can be applied in the analysis of Surface Water Flood events. The study firstly identifies the variables expressing insurance data and those explaining them, together with their interrelationships. Damage variables may be expressed as either monetary-based or number of claims-based. Explaining variables may be subdivided into four categories: meteorological, geographic, demographic and property/building-based. Most of the common and under-researched combinations of these variables and their expression are discussed. Secondly, a comparative analysis is presented of current models, highlighting their differences and similarities. The study demonstrates that the scope and approach of the models varies in relation to scale, the coverage and period of incorporated insurance claims, and the methods used for model development and validation. Thirdly, the study proposes a generic and adaptable framework, constructed from an aggregation of information contained in relevant literature, to define a workflow for model development and future deployment. The study concludes with a discussion of the challenges facing model development and opportunities for deployment.

Crime risk in urban neighbourhoods: the use of insurance data to analyse changing spatial forms

Summary The recent British Crime Surveys have confirmed that there are significant spatial variations in the distribution of crime risk. However, it is notoriously difficult to represent the spatial patterns in Britain convincingly, owing to the statistical inadequacy of the official crime data. This paper discusses the use of home contents insurance data as a proxy measure of crime risk, and examines the changing spatial distribution of crime risk in the two Northern conurbations of Merseyside and Greater Manchester. The analysis provides an explicit urban focus in order to establish links between the spatial distribution of crime risk and other patterns of deprivation or inequality in the urban environment. Since insurance data is used as a proxy measure of crime risk in the Department of the Environment's Index of Local Conditions, this analysis serves as an interesting basis for both academic and policy discussion.