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SCC-CIVIC-PG Track A: Community Hub for Smart Mobility

SCC-CIVIC-PG Track A: Community Hub for Smart Mobility
SCC-CIVIC-PG 轨道 A:智能出行社区中心
批准号:
2043060
负责人:
Junfeng Jiao
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 2022-05-31

项目摘要

项目成果

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中文摘要
翻译
由于住房负担能力的问题,美国人经常必须住得离工作地点很远。这种空间错位导致通勤交通拥堵,每年给美国经济造成290亿美元的损失。此外,几十年前,许多交通系统都是为过时的工作和生活模式而设计的,往往会让社区缺乏所需的交通基础设施。该项目通过开发一个新的“智能移动社区中心”(CHSM)概念来解决这些问题。CHSM将成为社区级的枢纽,居民可以在那里获得多种交通方式,如(电动自行车共享)、电动滑板车、乘车服务、电动汽车充电站和公共交通。通过利用由社区成员提供信息的发展过程以及量化建模,社区交通管理系统将直接满足社区居民的独特交通需求。CHSM将提供更多的流动性选择,增加就业机会,并提高受影响交通系统的整体效率。该项目的发现不仅将有助于增进交通领域的知识,还将通过一种新的基于社区的模式来促进参与式设计。该项目的主要目标是开发、实施和评估德克萨斯州奥斯汀的智能移动社区中心(CHSM)。该项目将在一个被确定为受工作/住房空间不匹配影响的社区设计和开发CHSM。在该项目的第一阶段,研究团队将通过社区对话与居民共同创建过程,以了解社区的实际社会经济和旅行需求。研究团队将把这一反馈与量化建模相结合,以预测社区独特的交通需求。研究结果将在迭代反馈循环中与社区成员共享和修改,直到社区和研究团队都对结果感到满意。在第二阶段,利用与奥斯汀市的牢固伙伴关系以及通过研讨会和调查进一步促进社区的参与,该项目将开发和评估CHSM试验点。该场地将不需要新的建设或开发,而是利用现有的基础设施、服务和空间(例如,将CHSM设在一个未使用的停车场上)。在成功开发和实施该网站后,研究团队将收集乘客数据集,并进行额外的调查、访谈和焦点小组,以评估CHSM的成功。CHSM模式有可能在美国各地的类似社区实施,这一试点的结果将成为全国范围内通过基于社区的移动性解决方案解决工作/住房不匹配问题的典范。该项目是对与NSF和能源部合作的轨道A-公民创新挑战-社区和移动性的响应。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。
英文摘要
Due to issues of housing affordability, Americans often must live far from their jobs. This spatial mismatch causes commuter traffic congestion resulting in an annual $29 billion loss to the US economy. Furthermore, many transportation systems were designed decades ago for outdated working and living patterns, often leaving communities without the transportation infrastructure they need. This project addresses these issues through development of a novel “Community Hub for Smart Mobility” (CHSM) concept. CHSMs will be community-level hubs where residents can access multiple modes of transport such as (e-)bike shares, e-scooters, ride hail, electric vehicle charging stations, and public transit. By utilizing a development process informed by community member input as well as quantitative modeling, CHSMs will directly address the unique transportation needs of community residents. CHSMs will provide more mobility options, increase access to jobs, and improve the overall efficiency of affected transportation systems. The findings from this project will contribute to knowledge not only in the field of transportation, but also participatory design through a novel community-based model. The main objective of this project is to develop, implement, and evaluate a Community Hub for Smart Mobility (CHSM) in Austin, TX. This project will design and develop a CHSM in a community identified as impacted by a job/housing spatial mismatch. In Stage 1 of this project, the research team will engage in a co-creation process with residents through community conversations to understand the community’s actual socioeconomic and travel needs. The research team will integrate this feedback with quantitative modeling to predict the unique transportation need of the community. Findings will be shared and revised with community members in an iterative feedback loop until both the community and research team are satisfied with the results. In Stage 2, leveraging the strong partnership with the City of Austin and further community involvement through workshops and surveys, the project will develop and evaluate the CHSM pilot site. The site will not require new construction or development, instead utilizing existing infrastructure, services, and spaces (e.g., situating the CHSM on an unused parking lot). After successful development and implementation of the site, the research team will collect ridership datasets and perform additional surveys, interviews, and focus groups to evaluate the success of the CHSM. The CHSM model has the potential to be implemented in similar communities throughout the US, and the results from this pilot will serve as a model for tackling the job/housing mismatch through community-based mobility solutions nationwide.This project is in response to Track A – CIVIC Innovation Challenge - Communities and Mobility a collaboration with 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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1177/03611981221076426
发表时间: 2022-03
期刊: Transportation Research Record
影响因子: 1.7
作者: [J. Jiao;Huihai Wang]
通讯作者: J. Jiao;Huihai Wang
Modeling factors contributing to dockless e-scooter injury accidents in Austin, Texas
德克萨斯州奥斯汀无桩电动滑板车伤害事故的建模因素
DOI: 10.1080/15389588.2022.2030057
发表时间: 2022
期刊: Traffic Injury Prevention
影响因子: 2
作者: [Azimian, Amin, Jiao, Junfeng]
通讯作者: Jiao, Junfeng
NRT-AI: Convergent, Responsible, and Ethical Artificial Intelligence Training Experience for Roboticists
  • 批准号:
    2125858
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $300.0万
  • 财政年份:
    2021
  • 负责人:
    Junfeng Jiao
  • 依托单位:
SCC-CIVIC-FA Track A: Co-Creating a Community Hub for Smart Mobility: A University-Government-Nonprofit Partnership
  • 批准号:
    2133302
  • 项目类别:
    Standard Grant
  • 资助金额:
    $98.54万
  • 财政年份:
    2021
  • 负责人:
    Junfeng Jiao
  • 依托单位:
海外基金