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Dive into the reconstruction of social vulnerability patterns in Los Angeles from 1940 to 2000, examining what factors make people and places vulnerable to extreme events and developing new models for measurement.
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Reconstructing Spatio-Temporal Patterns of Social Vulnerability Los Angeles (1940-2000) Zaria Tatalovich John P. Wilson
Context • Part of larger Risk Transference Project in domain of vulnerability science • Objective to understand what makes people and places vulnerable to extreme events • Develop new methods and models for measurement of vulnerability • How well can we model vulnerability across space and time? • What are advantages of proposed model to understanding what makes people and places vulnerable? Zaria Tatalovich February 2006
Social Vulnerability Index • Social vulnerability - extent to which society is exposed to shock brought about by economic, environmental, government policy changes or combination of factors • Calculate Social Vulnerability Index (SVI) based on set of social variables • Advantage of SVI - can be used to represent complex phenomena in a format which permits easy comparison over time Zaria Tatalovich February 2006
Calculating SVI Population and structure • Calculate Social Vulnerability Index (SVI) for each decade 1940-2000 based on 6 social indicators (variables): • Population • Housing Units • Non-White Population • Below College Education • Median Value of Housing Unit • Blue Collar Occupation • Data Source: Los Angeles County Union Census Tract Data Series, 1940 -1990 (Ethington et al. 2000) • Re-aggregate historical census data to Census 2000 boundaries • Calculate proportion of Census tracts enclosed in each of 2000 tracts and allocating variables accordingly Factors that influence SV Differential access to resources Wealth/Poverty 1000 people 100 km² 700 people 70 km² 300 people 30 km² 1990 2000
Social Vulnerability + Hazardous Event Vulnerability to Specific Event Earthquake Scenario (HAZUS-MH): Northridge 1994
Vulnerability to Specific Event (cont.) Social Vulnerability (SV) SV + PGA
Combining Physical and Social Vulnerability Biophysical Vulnerability Social Vulnerability Place Vulnerability + + = Hazardous Event
Work Ahead • Integrate biophysical risk (e.g. frequency of hazardous events) with social risk to understand place-based composite vulnerability • Run several existing HAZUS earthquake scenarios in each decade 1940-2000 • Reconstruct building inventory 1940-2000 for input to HAZUS • Compare historical trends in vulnerability to earthquakes • Predict future risk
Acknowledgements Place-Based Decision Support for Spatial and Temporal Transference of Risk and Hazards John Wilson GIS Research Laboratory Thomas Jordan Southern California Earthquake Center Jennifer Swift Civil & Environmental Engineering Mark Benthien Earth Sciences Zaria Tatalovich Geography Susan Cutter Hazards Research Lab Madilyn Fletcher Marine Sciences Cary Mock Geography Walter Piegorsch Statistics John Rose Computer Science & Engineering John Shafer Earth Sciences and Resources Institute Matt Schmidtlein