by Aldo Benini, July 2015
Priority indices have grown popular for identifying communities most affected by disasters. Responders have produced a number of formats and formulas. Most of these combine indicators using weights and aggregations decided by analysts. Often the rationales for these are weak. In such situations, a data-driven methodology may be preferable. This [2] note discusses the suitability of different approaches. It offers a basic tutorial of a DEA freeware application that works closely with MS Excel. The demo data [3] are from the response to Typhoon Haiyan in the Philippines 2013. . – Mirrored from the Assessment Capacities Project (ACAPS [4]) Web site with permission.
Rick Davies comment: I have dipped into this paper and resolved to learn more about Data Envelope Analysis. It looks like it could be quite useful.