When crowds converge: Link between events and crime

This study draws on environmental criminology to conceptualize planned events as bounded opportunity contexts that temporarily reshape urban activity. Using high-dimensional fixed-effects Poisson models and a panel of 154,561 events in Houston, Texas, we estimate reduced-form associations across event attributes and offense types. The event-crime association is statistically detectable but economically modest. Formal comparisons reveal selective offense heterogeneity, with the Crimes Against Society coefficient exceeding the Violent Crime coefficient. Public opportunistic crime also shows stronger associations than private opportunistic and non-opportunistic crime, but not Other Crime. Event size exhibits significant heterogeneity, with the largest events showing stronger associations than those in all lower-attendance categories. Event type, day-type context, duration, and recurrence are not statistically distinguishable. Adjustment for contemporaneous foot traffic attenuates the event coefficient. The findings suggest proportionate, targeted situational prevention rather than generalized security escalation in urban destination safety planning.

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Publication Details

Journal
Tourism Management
Published
2026-09-16
DOI
https://doi.org/10.1016/j.tourman.2026.105525
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
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article

When crowds converge: Link between events and crime

Yang Yang, Gyusang (Kevin) Hwang
Tourism Management
Crime Patterns and Interventions
article

When crowds converge: Link between events and crime

Yang Yang, Gyusang (Kevin) Hwang
article en

Abstract

This study draws on environmental criminology to conceptualize planned events as bounded opportunity contexts that temporarily reshape urban activity. Using high-dimensional fixed-effects Poisson models and a panel of 154,561 events in Houston, Texas, we estimate reduced-form associations across event attributes and offense types. The event-crime association is statistically detectable but economically modest. Formal comparisons reveal selective offense heterogeneity, with the Crimes Against Society coefficient exceeding the Violent Crime coefficient. Public opportunistic crime also shows stronger associations than private opportunistic and non-opportunistic crime, but not Other Crime. Event size exhibits significant heterogeneity, with the largest events showing stronger associations than those in all lower-attendance categories. Event type, day-type context, duration, and recurrence are not statistically distinguishable. Adjustment for contemporaneous foot traffic attenuates the event coefficient. The findings suggest proportionate, targeted situational prevention rather than generalized security escalation in urban destination safety planning.

Tourism ManagementVol. 119
Temple University (US)
Openalex Percentile: Top 4%
Crime Patterns and Interventions
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When crowds converge: Link between events and crime — Yang Yang, Gyusang (Kevin) Hwang · Tourism Management (2026) | TGRS Research Map | TGRS