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RAPID/Collaborative Research: An Empirical Investigation of Risk Preferences of Transportation Construction Workforce Managers under COVID-19 Pandemic Uncertainties

RAPID/Collaborative Research: An Empirical Investigation of Risk Preferences of Transportation Construction Workforce Managers under COVID-19 Pandemic Uncertainties
RAPID/协作研究:COVID-19 大流行不确定性下交通建设劳动力管理者风险偏好的实证调查
批准号:
2035198
负责人:
Baabak Ashuri
金额:
$4.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2023-08-31

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中文摘要
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英文摘要
The objective of this Rapid Response Research (RAPID) project is to identify new challenges and determine factors impacting workforce decision-making processes in the transportation construction industry under COVID-19 pandemic uncertainties. Never in the history of modern transportation infrastructure construction, has the industry had to adapt to a nationwide threat to their workforce and changing public health guidelines and constraints. How are workforce managers seeking to operate, maintain, and construct lifeline transportation infrastructure projects without risking the safety and health of their vital resources (workers, operators, engineers, fabricators, and project managers)? Workforce decision makers are dealing with a daunting task. The public expects no disruptions in receiving critical infrastructure services in these challenging times. And more importantly, the public expects limited risk of virus infection while using these critical infrastructures. COVID-19 continues to have substantial impacts on workstyle in the transportation construction industry. The pandemic challenges threaten the operations of transportation infrastructure systems that are facing ever-increasing impacts of weather-related disasters. Yet, transportation infrastructure construction and inspection cannot be delayed. Transportation infrastructure is essential to not only fulfill the daily needs of human beings but also combat the COVID-19 outbreak. The success of this research is contingent upon the collection of time-bound data on the workforce managers’ thought processes during the COVID-19 pandemic. This project will not only enhance the science of decision making under pandemic uncertainty, but also provide critical information for the transportation construction industry regarding best practices during a pandemic and effective strategies for adapting to the uncertainties emerging and evolving from this unprecedented event. Because of the exploratory nature of this research, PIs will use a combination of methods, such as surveys and follow-up interviews with key informants in state transportation agencies, to identify new challenges of workforce decision-making during the COVID-19 pandemic and determine factors impacting decision-making processes. Supporting documents will be collected from the key informants following the interviews (e.g., collecting and analyzing their revealed choices manifested in COVID-19 actions, organizational COVID-19 daily updates, internal operations memos, and public news) for further content analysis. The PIs will assemble a variety of questions that enable a thorough investigation of critical factors impacting workforce decision-making in the unique pandemic condition. These factors will include major pandemic issues, such as essential versus non-essential operations, construction site shutdown (planned or unplanned), project suspension at any stage of construction (for a designate or unknown period of time), restarting construction, project continuation, suspension, and delay, expedited construction operations to take advantage of the declined traffic and receive early completion incentives, and occupational safety policies (social distancing and wearing N95 masks). Employing the ephemeral empirical evidence rigorously collected in this RAPID project, the PIs will be able to examine and model the risk preferences of workforce decision makers under pandemic uncertainties. Successful identification of the factors impacting decision-making processes will be critical for the develop of a novel multi-attribute utility choice models that capture the risk preferences of decision makers in the transportation construction industry under pandemic uncertainties. Revealing factors impacting decision-making processes will pave the way to inform workforce policies under pandemic uncertainties. The findings will be disseminated widely through the creation of easy-to-understand and practical educational materials that are integrated with the research components so that they can improve each other. This project will also engage underrepresented students from diverse backgrounds in research activities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Availability Heuristic in Construction Workforce Decision-Making amid COVID-19 Pandemic: Empirical Evidence and Mitigation Strategy
COVID-19 大流行期间建筑劳动力决策中的可用性启发式:经验证据和缓解策略
DOI: --
发表时间: 2022
期刊: Journal of management in engineering
影响因子: 7.4
作者: [Yunping Liang, Anil Baral]
通讯作者: Yunping Liang, Anil Baral
Collaborative Research: IRES Track I: Artificial Intelligence and Human Designer - Research Experience in Singapore (AIHD Singapore)
  • 批准号:
    2246298
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2023
  • 负责人:
    Baabak Ashuri
  • 依托单位:
Valuation of Investments in Building Energy Improvements under Uncertainties
  • 批准号:
    1300918
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2013
  • 负责人:
    Baabak Ashuri
  • 依托单位:
海外基金