SCC-CIVIC-PG Track A: Piloting On-Demand Multimodal Transit in Atlanta
SCC-CIVIC-PG Track A: Piloting On-Demand Multimodal Transit in Atlanta
批准号:
2043431
负责人:
Pascal Van Hentenryck
金额:
$4.78万
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 2021-09-30
中文摘要
在美国,拥有汽车仍然是社会向上流动的最佳预测因素。那些没有汽车的人在获得工作、医疗保健和体面的杂货方面处于严重的不利地位。此外,住房模式进一步限制了社会流动性,因为低收入人口往往居住在远离就业机会的地方,而且几乎没有有效的公共交通选择。叫车服务有时有助于提供额外的移动选择。但是,总的来说,它们扩大了交通无障碍方面的不平等,满足了富裕人口的需要,减少了过境当局的收入,并增加了拥堵和排放。在疫情期间,过境的重要性也得到了强调。该奖项设想了公共交通的未来,通过按需多式联运系统(ODMTS)的概念,满足所有人口群体的这些流动性挑战。ODMTS结合联合收割机按需服务,为低密度区域提供服务,高占用车辆(公共汽车和/或火车)沿沿着高密度走廊行驶。由此产生的门到门服务已被证明可以提高便利性,降低成本,并提供了一个独特的机会,以扩大服务和就业机会的社区,传统的交通系统已经过于昂贵。为了验证ODMTS的概念,在规模,这个公民参与项目探索试点在亚特兰大,士麦那市在科布县,和格温内特县。 通过研究互补的高影响力试点环境,即,该项目旨在解决过境沙漠、没有过境系统的城市、需要更好地连接大城市的县以及对低收入人口的支持等问题,希望为在全国部署新一代过境系统制定蓝图。为了支持这些试点,该奖项研究了将ODMTS概念转化为成功试点的科学和技术进步。特别是,它探索了四个研究线索,以克服知识差距:(1)移动模式及其与建筑环境的关系建模,捕捉未来的住房和零售概况;(2)模式采用和网络设计的联合优化;(3)按需和经常性请求的联合优化;(4)移动模式与建筑环境的关系建模。以及(4)交通管制环境的建模(ADA,EEO,Title VI)。该奖项采用社区驱动的参与式设计,通过先进的模拟,可视化和指标来强调ODMTS对移动需求和预算的潜在影响。在全国各城市部署ODMTS的蓝图包括一个软件管道,涵盖数据分析、预测模型、优化技术、移动的应用程序,和高性能计算架构,规划和运营交通系统。该项目是为了响应轨道A - CIVIC创新挑战-社区和流动性与NSF和能源部的合作。该奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的评估支持影响审查标准。
英文摘要
In the United States, car ownership remains the best predictor of upwards social mobility. Those without a car are grievously disadvantaged in accessing jobs, health care, and decent groceries. Moreover, housing patterns further limit social mobility, as low-income populations often reside far away from job opportunities and have few efficient public transit options. Ride-hailing services have sometimes helped in providing additional mobility options. But, in general, they have widened inequalities in accessibility, servicing the needs of an affluent population, reducing the revenues of transit authorities, and increasing congestion and emissions. The importance of transit has also being highlighted during the pandemic. This award envisions a future for public transit that meets these mobility challenges for all population segments through the concept of On-Demand Multimodal Transit Systems (ODMTS). ODMTS combine on-demand services to serve low-density regions with high-occupancy vehicles (buses and/or trains) to travel along high-density corridors. The resulting door-to-door services have been shown to improve convenience, reduce costs, and provide a unique opportunity to expand services and job accessibility in neighborhoods where traditional transit systems have been too costly.To validate the concept of ODMTS at scale, this civic engagement project explores pilots in Atlanta, the city of Smyrna in Cobb county, and Gwinnett county. By studying complementary high-impact pilot settings, i.e., transit deserts, cities with no transit systems, counties in need of better connections to a large city, and support for low-income population, the project hopes to create a blueprint for the deployment of a new generation of transit systems across the country. To support these pilots, this award researches the scientific and technological advances to translate the concept of ODMTS into successful pilots. In particular, it explores four research threads to overcome knowledge gaps: (1) the modeling of mobility patterns and their relationship to the built environment, capturing future housing and retail profiles; (2) the joint optimization of mode adoption and network design; (3) the joint optimization of on-demand and recurrent requests; and (4) the modeling of the transit regulatory environment ((ADA, EEO, Title VI). This award adopts a community-driven participatory design, sustained by advanced simulations, visualizations, and metrics to highlight the potential impact of ODMTS on mobility needs and budgets. The blueprint for deploying ODMTS in cities around the country consists of a software pipeline that covers the data analytics, predictive models, optimization technology, mobile applications, and high-performance computing architecture that plan and operate the transit systems.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.
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会议论文
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依托单位:
High-Fidelity, High-Performance Multi-Stage Transmission Planning with Spatio-Temporal Uncertainty Models
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财政年份:2017
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负责人:Pascal Van Hentenryck
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依托单位:
CRISP Type 1/Collaborative Research: Computable Market and System Equilibrium Models for Coupled Infrastructures
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批准号:1638199
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资助金额:$32.24万
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负责人:Pascal Van Hentenryck
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Online Stochastic Combinatorial Optimization
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批准号:0600384
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财政年份:2006
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负责人:Pascal Van Hentenryck
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依托单位:
ITR/SY: Stochastic Combinatorial Optimization
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依托单位:
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Global Compilation of Constraint Logic Programs
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