Identifying Urban Flashpoints: A Delphi-Derived Model for Scoring Cities' Vulnerability to Large-Scale Unrest

摘要

Although great strides have been made toward forecasting state-level instability, little progress has been made toward the prediction of outbreaks of urban unrest. This article presents a method for the assessment of cities' vulnerability to large-scale urban unrest. Forty-five factors correlated with urban unrest are identified and weighted by an expert panel. Based on expert elicitation through an iterative Delphi exercise, the explicitly methodological discussion describes both the process and the resulting assessment framework. Results include a tool that will allow users to rank cities on their vulnerability to large-scale urban unrest.