课题基金 / 基金详情

SCC-IRG Track 1: Fostering Smart and Sustainable Travel through Engaged Communities using Integrated Multidimensional Information-Based Solutions

SCC-IRG Track 1: Fostering Smart and Sustainable Travel through Engaged Communities using Integrated Multidimensional Information-Based Solutions
SCC-IRG 第 1 轨道:使用基于信息的集成多维解决方案通过参与社区促进智能和可持续旅行
批准号:
2125390
负责人:
Srinivas Peeta
金额:
$250.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-10-01 至 2025-09-30

项目摘要

项目成果

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中文摘要
翻译
该奖项支持开发系统化部署工具的研究,智能互联社区可以利用这些工具,通过利用信息、通信和传感器技术的进步,以可量化的方式实现其可持续出行目标。虽然先进技术解决方案的部署为社区提供了改善居民生活质量和繁荣的巨大希望,但由于居民面临的技术和旅行需求以及障碍的多样性,他们在实现这些愿望方面面临着重大挑战。实现可持续发展目标的解决方案,包括增强旅行的流动性、安全性、公平性和可访问性,将利用桃树角城市(GA)作为沉浸式生活实验室。其中包括建立新的伙伴关系,涉及私营部门新兴的微型交通服务和成熟的公共交通模式。此外,它们还将涉及个性化的行为干预,通过无缝的信息提供来推动和激励个人汽车用户考虑可持续的替代方案。在社区一级,公共政策干预措施将力求促成灵活和新颖的旅行替代办法,同时确保所有居民都能及时获得与旅行有关的信息。对于服务不足和代表性不足的居民,解决方案将包括克服低收入社区信息沙漠的策略,老年居民与年龄相关的技术精通问题,以及智能手机和交通选择的减少。这些解决方案将使用从社区居民和其他来源收集的数据进行开发,并使用信息设计系统进行部署,该系统使用多种交付机制(包括社区应用程序)向社区中的各个利益相关者提供有针对性的信息交付。该项目将推进与整体社区级决策相关的理论和部署范例,以实现以多个,在满足不同利益相关者的需求和限制的同时,实现不同的目标。特别是,它将解决如何整合来自不同利益相关者的不同,多源数据的挑战,并利用它来系统地产生多维解决方案选项(伙伴关系,行为干预,政策干预),以满足社区一级的多个可持续发展目标,随着时间的推移,系统化,可量化的方式。它将借鉴多目标和多代理优化,机器学习,行为经济学以及数据和政策分析的方法,以生成多维解决方案。此外,它还将为解决方案本身带来新的范例和算法,并为制定与内在复杂,多维智能和互联社区中的实际部署框架相关的可推广原则。该项目还将开发信息设计和交付的正式方法,将多维解决方案转化为可操作的信息,对各个利益相关者来说是无缝的。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。
英文摘要
This Smart and Connected Communities award supports research that will develop systematic deployment tools that smart and connected communities can use to achieve their sustainable travel goals in a quantifiable manner by leveraging advances in information, communication and sensor technologies. While the deployment of advanced technological solutions offers great promise for communities to improve residents' quality of life and prosperity, they are faced with significant challenges in realizing these aspirations due to the diversity in technological and travel needs and barriers faced by the residents. Solutions to achieve sustainability objectives related to enhancing travel mobility, safety, equity, and access will be developed using the City of Peachtree Corners (GA) as an immersive living lab. They include building novel partnerships involving emerging micromobility services in the private sector and the well-established public transit modes. Further, they will involve personalized behavioral interventions to nudge and incentivize personal auto users to consider sustainable alternatives through seamless information provision. At the community level, public policy interventions will seek to enable flexible and novel travel alternatives while ensuring that all residents have access to timely travel-related information. For underserved and underrepresented residents, the solutions will include strategies to overcome information deserts in lower-income neighborhoods, age-related technology savviness issues for senior residents, and reduced access to smartphones and transportation options. These solutions will be developed using data collected from community residents and other sources, and deployed using an information design system that provides targeted information delivery to the various stakeholders in the community using multiple delivery mechanisms, including a community app.This project will advance theory and deployment paradigms associated with holistic, community-level decision-making to achieve travel sustainability goals characterized by multiple, disparate objectives while meeting the needs and constraints of different stakeholders. In particular, it will address the challenges of how to integrate disparate, multi-source data from various stakeholders and use it to systematically generate multidimensional solution options (partnerships, behavioral interventions, policy interventions) to meet multiple sustainability objectives at the community level in a systematic, quantifiable manner over time. It will draw on methods from multi-objective and multi-agent optimization, machine learning, behavioral economics, and data and policy analytics, to generate the multidimensional solutions. Further, it will lead to novel paradigms and algorithms for the solution options themselves, and for the development of generalizable principles related to practical deployment frameworks in the inherently complex, multidimensional smart and connected communities. The project will also develop formal methods for information design and delivery that translate the multidimensional solutions into actionable information that is seamless for the various stakeholders.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(2)
专著(0)
科研奖励(0)
会议论文
Impacts of micromobility on car displacement with evidence from a natural experiment and geofencing policy
微移动对汽车位移的影响,来自自然实验和地理围栏政策的证据
DOI: 10.1038/s41560-022-01135-1
发表时间: 2022
期刊: Nature Energy
影响因子: 56.7
作者: [Asensio, Omar Isaac, Apablaza, Camila Z., Lawson, M. Cade, Chen, Edward W., Horner, Savannah J.]
通讯作者: Horner, Savannah J.
Shared electric scooters and electric bikes can reduce traffic in urban centres
共享电动滑板车和电动自行车可以减少城市中心的交通
DOI: --
发表时间: 2022
期刊: Nature energy
影响因子: 56.7
作者: [Asensio, Omar Isaac]
通讯作者: Asensio, Omar Isaac
Collaborative Research: Statistical Learning, Driving Simulator-Based Modeling, and Computationally Tractable Dynamic Traffic Assignment
  • 批准号:
    1907563
  • 项目类别:
    Standard Grant
  • 资助金额:
    $21.95万
  • 财政年份:
    2018
  • 负责人:
    Srinivas Peeta
  • 依托单位:
Collaborative Research: Statistical Learning, Driving Simulator-Based Modeling, and Computationally Tractable Dynamic Traffic Assignment
  • 批准号:
    1662692
  • 项目类别:
    Standard Grant
  • 资助金额:
    $21.95万
  • 财政年份:
    2017
  • 负责人:
    Srinivas Peeta
  • 依托单位:
Collaborative Research: Coordinated Real-Time Traffic Management based on Dynamic Information Propagation and Aggregation under Connected Vehicle Systems
  • 批准号:
    1435866
  • 项目类别:
    Standard Grant
  • 资助金额:
    $11.0万
  • 财政年份:
    2014
  • 负责人:
    Srinivas Peeta
  • 依托单位:
Collaborative Research: Stochastic Sensing Control Models for Safe and Efficient Traffic Signal Strategies
  • 批准号:
    0528225
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $26.5万
  • 财政年份:
    2005
  • 负责人:
    Srinivas Peeta
  • 依托单位:
国内基金
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  • 批准号:
    825B2123
  • 项目类别:
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    30.00万元
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  • 负责人:
    杨月
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    82505569
  • 项目类别:
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  • 资助金额:
    30.00万元
  • 批准年份:
    2025
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    张贺
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温肾健脾化痰方下调PTGS1激活IRG1/itaconate通路缓解肥胖相关性肾病的分子机制研究
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    JCZRLH202500679
  • 项目类别:
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    --
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    2025
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