This research explores Amtrak trespass incident data from 2011 to 2019 using a GIS spatiotemporal process. The objective is to evaluate incident characteristics based on space, time, incident factors, and statistical significance. Incidents were first analyzed at the megaregional level, revealing Northern and Southern California as the highest trespassing risk in the country, followed by the Northeast and Great Lakes megaregions. A new standardized point density approach was applied to reveal incident clusters representing high-risk localities. Then, the optimized and emerging hot spot methods were applied to the top four megaregions. The results showed four Amtrak corridors as hot spots, including three along coastal California railways and the Philadelphia region. Trends for incident report factors were analyzed (e.g., pre-crash activity, time of day, location of impact). “Walking” prior to impact, occurrence in the “afternoon,” and crash location “on the tracks” were found to be the most prominent incident characteristics for those factors.

这项研究使用GIS时空过程探索了2011年至2019年的Amtrak侵入事件数据。目的是根据空间，时间，事件因素和统计显着性来评估事件特征。首先在特大区域一级对事件进行了分析，揭示了加利福尼亚北部和南部是该国最高的越境风险，其次是东北和大湖特大区域。应用了一种新的标准化点密度方法来揭示代表高风险地点的事件簇。然后，将优化和新兴的热点方法应用于前四个大区域。结果显示，有四个Amtrak走廊是热点，包括三个沿海加州铁路和费城地区。分析了事件报告因素的趋势（例如，碰撞前的活动，时间，影响的位置）。对于这些因素，发现撞击前的“行走”，“下午”的发生以及“在铁轨上”的碰撞位置是最突出的事件特征。