SCC-IRG Track 1: Revamping Regional Transportation Modeling and Planning to Address Unprecedented Community Needs during the Mobility Revolution

这项NSF智能和互联社区综合研究基金（SCC-IRG）旨在解决移动系统中重要的公平和系统集成挑战，这些挑战可能直接影响个人用户的生活质量、获得关键服务和就业机会。该项目的成果将通过利用新兴技术和这些技术产生的公共政策杠杆，广泛地支持大都市地区，特别是圣地亚哥地区的改善。研究小组将与圣地亚哥政府协会的交通建模师和规划者合作，开发一个大大改进的决策支持系统，用于区域规划和投资决策，这可能会导致更公平、可持续和有弹性的未来交通系统，例如可以更好地将人们，特别是弱势群体与工作、医疗保健、杂货和其他活动联系起来的解决方案。该项目还提供教育和外展机会，在一个综合和多学科的研究环境中培养下一代工程师和实践者，并扩大STEM领域的参与。为了解决与公平流动性、可达性和环境可持续性相关的社会技术挑战，研究小组将在短期内对区域交通系统模型进行有针对性的改进，并从长远来看从根本上改造区域交通系统模型。为了在短期内改进模型，研究小组将开发灵活和详细的按需移动服务模型，确定和开发公平指标和公平分析技术，并开发用于快速分析潜在政策的低分辨率模型。从长远来看，为了从根本上改进区域模型，研究团队将开发一个规定性的（即基于优化的）多层次、多分辨率、多目标的基于路径的建模框架，不仅可以分析，还可以实际推荐随时间推移的交通和土地使用政策以及基础设施投资组合。区域交通规划从预测模型向规定性模型的转变将是一项重要的理论贡献，将公平性纳入多目标优化问题的制定也将是一项重要的理论贡献。此外，开发一个多分辨率建模框架来支持双层、多目标的规定性建模框架将是一个有价值的方法论贡献。同样，新模式提供了足够的灵活性，可以捕捉按需移动服务的重要组成部分，而联网自动驾驶汽车等新技术也代表了一种重要的方法贡献，将加速智能移动解决方案的有效部署，以应对紧迫的社会公平、可持续性和经济挑战。该奖项反映了美国国家科学基金会的法定使命，并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，被认为值得支持。

This NSF Smart and Connected Communities Integrative Research Grant (SCC-IRG) aims to address important equity and system integration challenges in mobility systems that could directly affect individual users' quality of life and access to critical services and employment opportunities. Results from this project will support the improvement of metropolitan areas broadly and the San Diego region specifically by exploiting emerging technologies and the public policy levers these technologies engender. The research team will work with transportation modelers and planners at the San Diego Association of Governments to develop a substantially improved decision support system for regional planning and investment decisions that could lead to more equitable, sustainable, and resilient future mobility system, such as solutions that could better connect people, especially disadvantaged populations, to jobs, healthcare, groceries, and other activities. The project also presents education and outreach opportunities to train next-generation engineers and practitioners in an integrated and multi-disciplinary research environment and broaden participation in STEM field. To address socio-technical challenges related to equitable mobility, accessibility, and environmental sustainability, the research team will implement targeted improvements to regional transportation system models in the short term and fundamentally revamp regional transportation system models in the long run. To improve the models in the short run, the research team will develop flexible and detailed models of mobility-on-demand services, identify and develop equity metrics and equity analysis techniques, and develop low-resolution models for rapid analysis of potential policies. To fundamentally revamp regional models in the long run, the research team will develop a prescriptive (i.e., optimization-based) multi-level, multi-resolution, multi-objective pathway-based modeling framework to not only analyze but actually recommend combinations of transportation and land use policies and infrastructure investments over time. Moving from predictive to prescriptive modeling for regional transportation planning will represent a major theoretical contribution, as will incorporating equity into a multi-objective optimization problem formulation. Additionally, developing a multi-resolution modeling framework to support the bi-level, multi-objective prescriptive modeling framework will represent a valuable methodological contribution. Similarly, the new models provide sufficient flexibility to capture the important components of mobility-on-demand services and new technologies like connected automated vehicles thus represent an important methodological contribution that will speed the effective deployment of smart mobility solutions to address pressing social equity, sustainability, and economic challenges.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.