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Making a Case for Better Models and Information Sharing of the Transportation Impacts around Points of Dispensing during a Biological Event

机译:为生物事件中点胶点周围的运输影响提供更好的模型和信息共享的依据

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Points of dispensing (PODs) are locations that distribute medicine to populations during a public health biological event. Underestimated demand may lead to insufficient parking capacity and network congestion, causing distribution delays. A customized travel demand model provided a preliminary analysis of traffic impacts, using measures of effectiveness for the transportation network and POD operations. The case study modeled an aerosolized anthrax release in Wilmington, Delaware. Results indicated that although PODs did not significantly impact the surrounding network, localized congestion, and large delays may occur at PODs depending on patient assignment, parking availability, and traffic management. Analysis underscored the need to model interactions between POD operations and the transportation network, revealed gaps in understanding of how patients will respond to biological events, and highlighted the need for parking management and mechanisms for sharing information about PODs. The objective of this paper is to address these issues through new and existing technologies.
机译:分发点(POD)是在公共卫生生物学事件中向人群分发药品的位置。需求低估可能会导致停车容量不足和网络拥塞,从而导致配送延迟。定制的旅行需求模型使用交通网络和POD运营的有效性度量来提供对交通影响的初步分析。该案例研究模拟了特拉华州威尔明顿市的一种气雾化炭疽排放。结果表明,尽管POD不会对周围网络产生重大影响,但POD可能会出现局部拥塞,并且可能会出现较大的延迟,具体取决于患者分配,停车位和交通管理。分析强调有必要对POD运营和运输网络之间的交互进行建模,揭示在理解患者对生物事件的反应方面的差距,并强调需要停车管理和共享POD信息的机制。本文的目的是通过新技术和现有技术解决这些问题。

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