Assessing Public Safety of Cities using A Hierarchical Interval Outranking Approach
Keywords:
Public safety; multicriteria decision analysis; outranking approach; interval-based analysis; urban securityAbstract
This work proposes a multicriteria decision-making model to evaluate cities in terms of public safety. The proposed approach can handle data uncertainty and heterogeneity while recognizing public safety as a multifaceted issue that is influenced by various (often many) factors. It compares decision alternatives through a hierarchy of criteria and sub-criteria, facilitating a comprehensive evaluation of safety and accommodating the inherent uncertainty in crime measurement. The model integrates crime data, public security resources, and perceptions of insecurity. This approach can categorize cities into classes ranked by their public safety levels, addressing high, medium, and low-impact crimes according to policymakers’ preferences. The approach is illustrated throughout the paper in a case study with Mexico’s capital cities. The results reveal significant disparities in safety across cities, offering valuable insights into which capitals face the greatest challenges in achieving sustainable security.
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