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Risky Facilities and the Legacy of Ronald Clarke: Developing a New Typology of Risky Facilities to Improve Situational Crime Prevention Strategies

Research output: Other contributionOther

Abstract

The risky facilities framework posits that a small subset of locations accounts for a disproportionate share of crime compared to similar places. While influential to crime science, this model generally overlooks the importance of the spatial context surrounding these facilities. We analyze 227,447 crime incidents in Atlanta from 2021 to 2024 to extend this framework by integrating facility-level risk with contextual measures of local crime patterns. We examine three common facility types-gas stations, convenience stores, and restaurants. These places are analyzed within a hierarchical framework that nests facilities within their surrounding street segments. By combining within facility crime rankings with segment-level crime shares, we develop a dual axis typology which distinguishes between intrinsic facility risk and contextual representation of crime patterns. Results reveal substantial heterogeneity between facilities in patterns. Only a small minority of high crime facilities function as isolated risky facilities, accounting for most of the crime on their surrounding segments. Most high-risk facilities are embedded within broader criminogenic environments where crime is more evenly distributed across multiple locations. Conversely, some low volume facilities drive crime patterns on otherwise low activity street segments. High crime facilities should not be uniform targets for crime control interventions. The most efficient prevention strategies should consider diagnosing the degree to which crime is driven by facility specific management issues or broader environmental contexts. Isolated risky facilities are best suited for situational crime prevention emphasizing place management and on-site guardianship. Conversely, embedded risky facilities require intervention techniques targeting shared environmental conditions. By incorporating contextual diagnostics into the risky facilities framework, this study provides a more precise problem analysis foundation to help efficiently allocate resources for problem-oriented policing and situational crime prevention.
Original languageUndefined/Unknown
Media of outputArticle
PublisherSSRN
DOIs
StatePublished - Feb 2 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

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