Porch Pirates’ perceptions of opportunity: how offenders weigh guardianship cues, neighborhood cues, and target attractiveness

Engineering notes

Key topics: autonomous driving, perception. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Package theft (“porch piracy”) has become one of the most common opportunity-driven crimes, yet almost nothing is known about how offenders perceive the situational cues that shape these opportunities. This study extends the Crime as Opportunity framework by examining how package thieves evaluate guardianship cues, neighborhood cues, and target attractiveness, and whether these perceptions differ by offending frequency. Data were collected via an online survey of 309 self-identified package thieves. Exploratory factor analysis yielded three opportunity-perception scales (guardianship cues, neighborhood cues, target attractiveness). Respondents were grouped by lifetime frequency of theft. Group differences were tested with ANOVA; predictors of higher frequency were examined using ordered logistic regression. Doorbell cameras, human presence, and police visibility were rated the strongest deterrents ( M = 4.22, SD = 0.77). Higher-frequency offenders perceived guardianship cues as less deterring than one-time offenders ( M = 3.93 vs. M = 4.31; p = .013). Neighborhood cues showed no group differences. Target attractiveness exhibited a non-significant upward trend. In the multivariate model, a one-standard-deviation increase in perceived guardianship cues was associated with an 11%-point lower probability of higher-frequency offending (95% CI [–21, − 1]; pseudo-R² = 0.067). The findings reaffirm perceived guardianship as the key subjective inducement that distinguishes occasional from higher-frequency thieves, while neighborhood and reward cues play limited roles. The study supports the Crime as Opportunity framework and offers actionable implications for situational prevention, such as enhancing surveillance and concealing targets in last-mile delivery.

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