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SCC-CIVIC-PG Track A: MICOPP: Mobility Improvements to achieve transportation equity in Communities through joint Optimization of Public and Private community-based resources

SCC-CIVIC-PG Track A: MICOPP: Mobility Improvements to achieve transportation equity in Communities through joint Optimization of Public and Private community-based resources
SCC-CIVIC-PG 轨道 A:MICOPP:通过联合优化公共和私人社区资源,改善流动性以实现社区交通公平
批准号:
2043869
负责人:
Pan Li
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-01-15 至 2022-06-30
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项目摘要

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中文摘要
翻译
传统工业城市在为所有居民建立公平的交通系统方面面临着许多障碍。俄亥俄州的克利夫兰就是这样的例子,在几十年的人口流失、郊区化、就业中心从中心城市搬迁以及经济适用房集中在以种族隔离和集中贫困为标志的社区中,那里曾经充满活力的公共交通系统已经减弱。这些因素综合在一起,造成低收入家庭的交通不安全。该项目的愿景是利用现有的社区合作解决空间不匹配问题(Parliament Prize)以及新技术,利用公共和社区交通资产和资源,促进低收入城市社区的交通可及性、可负担性和安全性。在现有数据和学术研究的基础上,并利用技术降低成本和提高现有系统的效率,该项目将确定系统中的瓶颈和效率低下的问题,以指导新的投资和资源分配,从而动态地促进更好的交通便利,将负担得起的住房和就业机会联系起来。此外,该项目将涉及交通、人工智能、社会科学、网络物理系统、智慧城市和物联网应用,从而改善低收入社区之间的联系,并使人们能够获得就业、经济适用房和综合服务。该项目设想通过合作努力,开发一个名为“通过公共和私人社区资源联合优化实现社区交通公平的流动性改进"的混合交通系统,并可能适用于受到无序扩张和人口下降挑战的其他城市社区。这一规划过程将涉及所有项目利益相关者的积极参与,以确保明确确定社区需求、可用资源以及在获得交通选择方面的用户和系统瓶颈。利用现有数据,将开发人工智能机制,在安全、可用性和可负担性限制的情况下,共同优化公共和社区交通资源,目标是最大限度地扩大该系统为社区服务的范围。 将制定适当的衡量标准,以评估MICOPP的有效性,并研究投资决策中的权衡。该项目是响应公民创新挑战计划,轨道A-社区和流动性:提供更好的流动性选择,以解决住房负担能力和工作之间的空间不匹配,是NSF和能源部之间的合作。该奖项反映了NSF的法定使命,并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。
英文摘要
Legacy industrial cities face numerous barriers to creating an equitable transportation system for all residents. Such is the case of Cleveland, Ohio, whose once vibrant public transportation system has weakened amidst decades of population loss, suburbanization, the relocation of job hubs away from the central city, and the concentration of affordable housing in neighborhoods marked by segregation and concentrated poverty. The confluence of these factors translate into transportation insecurity for low income households. The vision for this project is to leverage an existing community collaboration tackling the spatial mismatch (Paradox Prize) together with new technologies to take advantage of both public and community-based transportation assets and resources for advancing transportation access, affordability, and security in low-income urban communities. Building on existing data and scholarship, and using technologies to reduce cost and increase efficiency in the current system, this project will identify bottle-necks and inefficiencies in the system to guide new investments and resource allocations to dynamically foster better transportation access, connecting affordable housing and employment opportunities. Additionally, this project will work across transportation, artificial intelligence, social science, cyber-physical systems, smart city, and IoT applications, leading to better connections between low-income communities and access to jobs, affordable housing and wraparound services. This project envisions a collaborative effort that will lead to the development of a hybrid transportation system called “Mobility Improvements to achieve transportation equity in Communities through joint Optimization of Public and Private community-based resources (MICOPP)”, with potential applicability to other urban communities challenged by sprawl and population decline. This planning process will involve active participation of all project stakeholders to make sure that the community needs, available resources, and user and systemic bottlenecks in accessing transportation choices are clearly identified. Using available data, artificial intelligence mechanisms will be developed to jointly optimize public and community-based transportation resources, given safety, availability and affordability constraints with the objective of maximizing the extent that the system serves the community. Appropriate metrics will be devised to evaluate the effectiveness of MICOPP and study the tradeoffs in investment decisions. This project is in response to the Civic Innovation Challenge program, Track A— Communities and Mobility: Offering Better Mobility Options to Solve the Spatial Mismatch Between Housing Affordability and Jobs—and is a collaboration between NSF and the Department of Energy.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.
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Collaborative Research: CIF-Medium: Privacy-preserving Machine Learning on Graphs
  • 批准号:
    2402816
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
    Pan Li
  • 依托单位:
CAREER: Multi-Radio Multi-Channel Multi-Hop Cellular Networks: Throughput and Energy Consumption Optimization
  • 批准号:
    1566479
  • 项目类别:
    Continuing Grant
  • 资助金额:
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  • 财政年份:
    2015
  • 负责人:
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  • 依托单位:
EARS: Collaborative Research: Cognitive Mesh: Making Cellular Networks More Flexible
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2015
  • 负责人:
    Pan Li
  • 依托单位:
海外基金