Ontology highlight
ABSTRACT:
SUBMITTER: Liu J
PROVIDER: S-EPMC5994772 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
Liu Jingyu J Piegorsch Walter W WW Schissler A Grant AG Cutter Susan L SL
Journal of the Royal Statistical Society. Series A, (Statistics in Society) 20171010 3
We develop a quantitative methodology to characterize vulnerability among 132 U.S. urban centers ('cities') to terrorist events, applying a place-based vulnerability index to a database of terrorist incidents and related human casualties. A centered autologistic regression model is employed to relate urban vulnerability to terrorist outcomes and also to adjust for autocorrelation in the geospatial data. Risk-analytic 'benchmark' techniques are then incorporated into the modeling framework, where ...[more]