Exploring Factors Associated With Public Risk Perceptions of Railroad Trespassing

Abstract: Railroad trespassing remains a significant safety concern in the United States, with over 500 fatalities occurring annually. Beyond these fatalities, the number of trespassing incidents is substantially higher, underscoring the potential for further accidents and the urgency of addressing this issue comprehensively. Understanding the public’s risk perception—specifically, whether individuals perceive railroad trespassing as dangerous—is critical in developing effective prevention strategies and interventions.

This study explores a range of demographic, socioeconomic, and behavioral factors (e.g., citizenship status, education level, income, and familiarity with railroad environments) that may influence risk perceptions of railroad trespassing. Data were collected through a comprehensive survey of approximately 600 respondents, conducted between August 2022 and May 2023, to capture diverse viewpoints and identify patterns in perceptions and behaviors related to railroad trespassing.

To analyze the data, we employed descriptive statistics to understand the relationships between variables. In addition, we utilized non-parametric tests such as the Mann-Whitney U test and the Kruskal–Wallis H test to determine if significant differences exist across various groups based on the demographic and socioeconomic factors. These statistical methods allowed for an in-depth examination of the data, ensuring robustness and reliability in identifying critical insights.

The findings of this paper provide valuable information for policymakers and stakeholders, emphasizing the need for targeted interventions and countermeasures that consider the diverse characteristics of the population. By addressing the underlying factors influencing risk perception, authorities can develop more effective strategies to reduce railroad trespassing incidents and improve public safety outcomes. Future research will further refine these insights by exploring additional factors and testing intervention strategies designed based on the survey results.