transportation systems resilience

运输系统弹性
  • 文章类型: Journal Article
    全球COVID-19大流行引发了大量修改和重新设计公共交通和共享出行车辆的想法,以保护工人和乘客在旅行时免于感染这种疾病。这项研究旨在盘点这些策略,并以使研究人员能够进行组织和提炼,政策制定者,和公共交通和移动服务运营商,以更系统和有效地评估它们。通过文献检索和分析,开发了COVID-19风险缓解车辆设计(CRVD)类型学,阐明12类策略(例如,座椅配置,障碍)和12种机制(例如,物理距离,物理分离),这些策略可能会减少COVID-19的传播。这项研究的第二个贡献是收集与COVID-19及其传播相关领域的专家的意见,关于已确定的CRVD策略和缓解机制。类型学和专家意见是进一步创新和研究的起点,以评估CRVD策略的有效性及其与用户偏好和旅行行为的关系,在当前背景下和之外。公共交通和共享移动服务运营商可以使用CRVD类型作为参考,结合行业指导和新兴的战略有效性研究,帮助他们继续应对大流行以及未来规划的决策。
    The global COVID-19 pandemic has given rise to a plethora of ideas for modifying and redesigning public transportation and shared mobility vehicles to protect workers and riders from contracting the disease while traveling. This research seeks to inventory these strategies, and to organize and distill them in a way that enables researchers, policymakers, and public transport and mobility service operators to more systematically and efficiently evaluate them. Through literature search and analysis, the COVID-19 risk-mitigating vehicle design (CRVD) typology was developed, articulating 12 categories of strategies (e.g., Seating Configuration, Barriers) and 12 mechanisms (e.g., physical distancing, physical separation) by which the strategies may reduce COVID-19 spread. A secondary contribution of this research is to gather opinions of experts in fields related to COVID-19 and its transmission, about the identified CRVD strategies and mitigation mechanisms. The typology and expert opinions serve as a launching point for further innovation and research to evaluate the effectiveness of CRVD strategies and their relationship to user preferences and travel behavior, within and beyond the current context. Public transport and shared mobility service operators can use the CRVD typology as a reference, in conjunction with industry guidance and emerging research on strategy effectiveness, to aid decision-making in their continued response to the pandemic as well as for future planning.
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  • 文章类型: Journal Article
    在没有疫苗的情况下,社交距离和减少旅行等非药物干预措施是减缓COVID-19大流行传播的唯一策略.使用2020年3月至5月在大流行开始时从夏威夷收集的调查数据(n=22,200),调查了将疾病带入州的旅行者传播者与社区传播者之间的差异。除了描述人口统计学属性并将其与那些易受COVID-19影响的人的属性进行比较外,还开发并测试了解释旅行行为的Logit模型。旅行者传播者可能是男性,年轻,返回的学生。社区传播者更可能是男性,基本工人,第一反应者,和暴露风险最高的医务人员。使用空间统计,绘制了高危个体的集群和热点位置。由于交通研究人员能够将他们的关键分析能力和经验与有关移动性和传染病传播的相关数据库相结合,这一分析可以支持应对和减缓大流行蔓延的努力。
    In the absence of a vaccine, nonpharmaceutical interventions such as social distancing and travel reductions were the only strategies for slowing the spread of the COVID-19 pandemic. Using survey data from Hawaii (n = 22,200) collected in March through May of 2020 at the onset of the pandemic, the differences between traveler spreaders who brought the disease into the state and community spreaders were investigated. In addition to describing the demographic attributes and comparing them with attributes of those who were vulnerable to COVID-19, logit models explaining travel behaviors were developed and tested. Traveler spreaders were likely to be male, younger, and returning students. Community spreaders were more likely to be male, essential workers, first responders, and medical personnel at the highest risk of exposure. Using spatial statistics, clusters and hotspot locations of high-risk individuals were mapped. As transportation researchers are in a position to combine their critical analytical capabilities and experience with relevant databases on mobility and the spread of infectious diseases, this analysis could support efforts to respond to and slow the spread of the pandemic.
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  • 文章类型: Journal Article
    最近的COVID-19大流行导致了几乎在世界范围内的就地避难战略。这引起了一些关于安全放松当前限制的自然担忧。本文重点介绍了在运输背景下加热通风和空调(HVAC)系统的设计和操作。DoHVACsystemshavearoleinlimitedvirusspread?Duringshelt-in-place,住宅或车辆中的暖通空调系统可以帮助限制病毒传播吗?典型的工作场所和交通暖通空调系统可以限制病毒的传播吗?本文直接解决了这些和其他问题。此外,它还总结了做出有意义的预测所需的简化假设。本文使用Ginsberg和Bui首次给出的变换方法得出新结果。这些新结果描述了通过HVAC系统的病毒传播,并估算了当感染的乘员存在于同一建筑物或车辆内时未感染的建筑物或车辆乘员吸入的病毒的总剂量。这些结果的核心是推导出一个称为“保护因子”的数量,这是一个从防毒面具设计中借用的艺术术语。依赖于这些微分方程的数值逼近的较旧结果早已得到实验室验证。本文首次给出了固定基础设施中的精确解决方案。这些解决方案,因此,保留对较旧的近似方法的相同实验室验证。Further,这些精确的解决方案对运输中使用的HVAC系统产生了有价值的见解。
    The recent COVID-19 pandemic has led to a nearly world-wide shelter-in-place strategy. This raises several natural concerns about the safe relaxing of current restrictions. This article focuses on the design and operation of heating ventilation and air conditioning (HVAC) systems in the context of transportation. Do HVAC systems have a role in limiting viral spread? During shelter-in-place, can the HVAC system in a dwelling or a vehicle help limit spread of the virus? After the shelter-in-place strategy ends, can typical workplace and transportation HVAC systems limit spread of the virus? This article directly addresses these and other questions. In addition, it also summarizes simplifying assumptions needed to make meaningful predictions. This article derives new results using transform methods first given in Ginsberg and Bui. These new results describe viral spread through an HVAC system and estimate the aggregate dose of virus inhaled by an uninfected building or vehicle occupant when an infected occupant is present within the same building or vehicle. Central to these results is the derivation of a quantity called the \"protection factor\"-a term-of-art borrowed from the design of gas masks. Older results that rely on numerical approximations to these differential equations have long been lab validated. This article gives the exact solutions in fixed infrastructure for the first time. These solutions, therefore, retain the same lab validation of the older methods of approximation. Further, these exact solutions yield valuable insights into HVAC systems used in transportation.
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  • 文章类型: Journal Article
    COVID-19大流行给交通运输研究人员和从业人员带来了重大挑战,但也带来了前所未有的机遇。在这篇文章中,确定了运输部门工作人员的主要经验教训和知识差距,包括以下内容:(1)公共卫生与交通的整合;(2)支持接触者追踪和旅行者追踪的技术;(3)关注弱势群体,有风险的运营商,顾客,和服务不足的社会成员;(4)重新设计旅行需求模型,以支持社会距离,检疫,和公共卫生干预措施;(5)大数据和信息技术的挑战;(6)公众之间的信任关系,政府,私营部门,(7)灾害期间的冲突管理;(8)跨学科知识和参与的复杂性;(9)培训和教育的需求;(10)支持社区复原力的变革性变革。专注于交通规划和社区复原力,大流行的教训需要针对不同的系统进行分享和定制,服务,模态,和用户。虽然大流行期间的许多干预措施都是基于公共卫生,管理层,回应,recovery,适应,危机导致的运输系统的转变需要多学科的合作,多辖区沟通和协调,和资源共享。需要进一步的研究来支持知识到行动。
    The COVID-19 pandemic has created significant challenges but also unprecedented opportunities for transportation researchers and practitioners. In this article, the major lessons and gaps in knowledge for those working in the transportation sector are identified, including the following: (1) integration between public health and transportation; (2) technology to support contact tracing and tracking of travelers; (3) focus on vulnerable, at-risk operators, patrons, and underserved members of society; (4) re-engineering of travel demand models to support social distancing, quarantine, and public health interventions; (5) challenges with Big Data and information technologies; (6) trust relationships between the general public, government, private sector, and others in disaster management; (7) conflict management during disasters; (8) complexities of transdisciplinary knowledge and engagement; (9) demands for training and education; and (10) transformative change to support community resilience. With a focus on transportation planning and community resilience, the lessons from the pandemic need to be shared and customized for different systems, services, modalities, and users. While many of the interventions during the pandemic have been based on public health, the management, response, recovery, adaptation, and transformation of transportation systems resulting from the crisis require multi-disciplinary, multi-jurisdictional communications and coordination, and resource sharing. Further research to support knowledge to action is needed.
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