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Effects of Hurricane Irene and Sandy in New Jersey: Evacuation Traffic Patterns

机译:飓风艾琳和桑迪在新泽西州的影响:疏散交通模式

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This study analyzes spatio-temporal evacuation traffic patterns based on traffic data collectedduring Hurricanes Irene and Sandy in New Jersey. The temporal analysis shows that the totalnumber of evacuees in Sandy was less than 30 percent of those in Irene. This is possibly due tothe late-summer season, differences in background traffic, as well as so called “crying wolf”effect. However, similar to the evacuation departure behavior during Hurricane Irene, peoplewho evacuated during Hurricane Sandy responded very quickly to the mandatory evacuationorder. Traffic volumes increased significantly when the official mandatory evacuation order wasissued. The spatial analysis shows that the most significant evacuation movements were locatedin the southern portion of the State, closest to the shore areas. The vast majority of thisevacuation traffic moved westward, instead of traveling northbound along the shore areas madevulnerable by the storm. These evacuation traffic patterns are similar to the typical outboundtraffic patterns seen in the shore areas at the end of a summer weekend but with departure timesthat were three to four hours earlier than usual. Moreover, in examining the evacuation trafficpatterns and collected travel time data, this study was also able to identify traffic bottlenecks thatarose during Hurricane Irene and Sandy evacuations. The results show that the bottlenecks weregenerally located at merging areas in the vicinity of on/off ramps or interchanges. Theseempirical observations can be used to improve real-world emergency response operations andevacuation models.
机译:本研究基于收集的交通数据分析时空疏散交通模式 在飓风艾琳(Errene)和桑迪(Sandy)在新泽西期间。时间分析表明 桑迪的疏散人数不到艾琳的30%。这可能是由于 夏末季节,背景流量的差异以及所谓的“哭狼” 影响。但是,类似于飓风​​“艾琳”中的疏散离场行为,人们 在飓风桑迪期间疏散的人对强制疏散反应很快 命令。当官方强制疏散命令生效时,交通量显着增加 发布。空间分析表明,最重要的疏散运动位于 在该州的南部,最靠近海岸地区。绝大多数 疏散交通向西移动,而不是沿着沿海地区向北行驶 受暴风雨侵袭。这些疏散交通模式类似于典型的出站交通 夏季周末结束时在海岸地区看到的交通模式,但有发车时间 比平常早了三到四个小时。此外,在检查疏散交通时 模式和收集的出行时间数据,该研究还能够识别出交通瓶颈 在飓风艾琳和桑迪撤离期间出现。结果表明,瓶颈是 通常位于开/关坡道或交叉路口附近的合并区域。这些 实证观察可用于改善现实世界中的应急响应操作,以及 疏散模型。

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