NSF Convergence Accelerator Track H: Leveraging Human-Centered AI Microtransit to Ameliorate Spatiotemporal Mismatch between Housing and Employment for Persons with Disabilities

NSF 融合加速器轨道 H：利用以人为本的人工智能微交通改善残疾人住房和就业之间的时空不匹配

• 批准号: 2235225
• 负责人: Dongxiao Zhu
• 金额: $ 61.36万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-12-15 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2235225&HistoricalAwards=false
• 关键词: NSF; Convergence; Accelerator; Track; Leveraging

Persons with disabilities (PWD) have historically faced significant employment challenges mainly due to lack of transportation to employment-related Points of Interest (ePOIs) such as work, education, and training locations. Paratransit services that provide door-to-door and curb-to-curb services could alleviate the first/last mile problem. However, they often require submitting pick-up requests a few days to a few weeks in advance, which is not flexible enough to handle more urgent requests to arrive at ePOIs on time. A main reason for such temporal lags is the lack of accessible technology that helps make complex yet prompt decisions for the determination of pick-up/drop-off location, routing, scheduling, and re-routing. This project promotes disability inclusion in workplaces by enhancing the availability and reliability of paratransit services. Specifically, our vision is to deliver an open-source human-centered Artificial Intelligence (AI) technology that aids microtransit services to determine when and where to pick up/drop off PWD, and incorporates near real-time routing algorithms to serve more urgent PWD requests between residential and ePOI-rich regions. This project will be built on the already established strong collaboration among several organizations operating in the Metro Detroit Area, including paratransit service providers, disability research institutions, workforce development institutions, outreach communication services, and Wayne State University. Specifically, in this project we plan to: (1) Organize outreach activities, focus groups, and workshops to involve more organizations, have a convergent stakeholder discussion to better understand their needs, how best to provide near real-time paratransit services to meet identified needs, and identify data and ePOIs for testing; (2) Study inflow and outflow of paratransit service demand across regions and accessibility for PWD in the identified service area; (3) Create measurement tools for success of our prototype for each stakeholder type (user, service provider, employers). The data and measurement tools generated by this project will shape the development and design of the proposed technology.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.

残疾人历来面临着巨大的就业挑战，主要是因为缺乏前往工作、教育和培训地点等与就业有关的兴趣点的交通工具。提供门到门和路边到路边服务的辅助服务可以缓解第一英里/最后一英里的问题。然而，他们往往需要提前几天到几个星期提交取件请求，这不足以灵活地处理更多的紧急请求，以便按时到达ePOI。这种时间滞后的一个主要原因是缺乏可访问的技术，这些技术有助于做出复杂但迅速的决定，以确定上下车地点、路线、调度和重新路线。该项目通过提高辅助医疗服务的可得性和可靠性，促进工作场所的残疾包容。具体地说，我们的愿景是提供一种开源的以人为中心的人工智能(AI)技术，帮助微交通服务确定何时何地接送PWD，并结合近乎实时的路线算法，以满足住宅和ePOI丰富地区之间更紧迫的PWD请求。该项目将建立在在底特律大都会地区运营的几个组织之间业已建立的强有力合作的基础上，这些组织包括辅助设施服务提供者、残疾研究机构、劳动力发展机构、外联传播服务和韦恩州立大学。具体地说，在这个项目中，我们计划：(1)组织外展活动、焦点小组和研讨会，让更多的组织参与，进行利益相关者的集中讨论，以更好地了解他们的需求，如何最好地提供接近实时的辅助服务以满足确定的需求，并确定用于测试的数据和ePOI；(2)研究跨地区辅助服务需求的流入和流出以及在确定的服务领域中残疾人发展的可及性；(3)为每种利益相关者类型(用户、服务提供商、雇主)创建我们的原型成功的衡量工具。该项目产生的数据和测量工具将塑造拟议技术的开发和设计。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。