作者: David Etkin
DOI: 10.1016/B978-0-12-800227-8.00002-8
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摘要: Chapter Overview Disaster data are needed to test theories, develop empirical studies, and for policy development. There are, however, numerous difficulties in the bases that exist, there no universally accepted methodologies measure disaster impacts. The choice of indices, example, can strongly bias analyses different directions; one example is total cost as compared per capita cost. These choices underlain by institutional mandates, availability, values. Thus, users must be careful terms how they interpret such information, order avoid, or transparent about, biases errors.