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How DFA Can Help the Property/Casualty Industry, Part 4
Hurricanes Katrina, Rita, Wilma...
Catastrophes: Models and Reserving
Risk Measures
Reinsurer Results:
Catastrophe and Strengthening
Hurricanes: 2003 and 2004 Results, Clustering and TransitioninG
Brushfire and Fire Following Exposures
Tsunami Exposure Worldwide and U.S.
Wind and Hail: Relative Hazard Levels
Cat Modeling Class
Introduction to Reinsurance
Holborn Technical Seminar
Catastrophe, Injury, and Insurance
Chapter 1: Summary
Chapter 2: Background
Chapter 3: Study Methology
Chapter 4: Population at Risk
Chapter 5: Earthquake
Chapter 6: Terrorism
Chapter 7: Industrial Accident
Chapter 8: Infectious Disease
Chapter 9: Impact of Data Quality
Chapter 10: Managing the Risk
Chapter 11: The Future
Review of Myers & Read ARIA Paper
A Perfectly Ordinary Tuesday Morning
This is Not Your Father’s Cat Model
Global Warming and Increased Catastrophes?
Reinsurer Risk Loads from Marginal Surplus Requirements, PCAS LXXVII
Reinsurance Markets
Risk Transfer Assessment
Introduction to Asset Returns and Risks
CAS Call Paper Panel
Ceded Reinsurance Issues in DFA
Catastrophe Reinsurance Simulation Game
Reinsurance by any other name
Clash Pricing
ALLOCATION OF SURPLUS FOR A MULTI-LINE INSURER
Optimization to Improve Business Performance

 

 
2004
Andrew Coburn and Alexandra Cohen
Risk Management Solutions, Inc.
 
Page: 1 2 3 4 5 6

3. Study Methodology

3.1 Scenario Studies

3.1.1 Human Insurance Exposure Database

To study the impact to the insurance industry from injuries caused by catastrophes, RMS created a high resolution, dynamic human insurance exposure database. This database provides information on the geographic distribution of the population at any time of the day, the demographics, and most importantly, the insurance coverages of that population. It covers the entire U.S. at ZIP Code level and a considerably higher resolution for estimated occupancies of individual buildings for large parts of the commercial business districts of major cities.The construction of this exposure database is described in the next chapter.

RMS has well-established catastrophe models for earthquake and terrorism risk. The models have been adapted for this study to examine their impact on human exposure.They use a detailed understanding of the physical process of the events to construct the geographical extent and severity ‘footprint’ of destructive forces. By overlaying the footprint of a particular event on top of detailed property databases, and understanding the vulnerability of buildings to the destructive forces, it is possible to analyze the damage likely to be caused to the property. By adding the human occupancy of the structures and other people in the streets, the consequences of building damage and other harmful effects of the event on the exposed population can be analyzed to estimate the numbers of people injured or killed.

3.1.2 Chicago Area Study

The human exposure database covers the entire U.S. A case study area was used to assess events in detail and to understand the granularity of an event. The Chicago metropolitan area was selected as the location for five of the seven catastrophe scenarios. The buildings in the commercial city center have been individually mapped, and detailed studies made of the commuting patterns, demographics, and insurance penetration for the Chicago population. This has made it possible to assess the insurance claims that will affect the insurance losses by coverage.

The depiction of five different catastrophe scenarios in Chicago is not to suggest that Chicago is necessarily more catastrophe-prone than other cities. However, the fact that it is the second most densely populated city in the U.S. means that any events that do occur there are capable of causing more severe life loss than many other places. Chicago, like any sizeable city, has had its share of disasters, with a long history of accidents, health incidents, and civil disturbances that have caused clusters of casualties (1). These include the 1871 Great Chicago Fire, the 1918 influenza epidemic (8,500 deaths), severe winters in 1967 and 1979, and various heat waves.The concentrations of people in a major city like Chicago exacerbate the death toll from accidents.


Figure 3.1 The study area, Chicago, is the second most densely populated city in the
U.S. and has a large commuting population (Image: Associated Press)

The scenarios included in this study are credible examples of hazardous events that could occur in Chicago, or any other major city.

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(1) O’Brien, E., and Benedict, L.“Deaths, Disturbances, Disasters and Disorders in Chicago.” Chicago Public Library.

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