Planning a Shared Autonomous Vehicle Mobility Pilot for Linking Affordable Housing and Jobs

生活在城市经济适用房区的中低收入居民往往面临着获得工作或其他机会的问题，因为流动性选择有限，包括缺乏公共交通系统。由于潜在问题通常是运营公共交通或其他类似出行选择的成本高昂，因此不可行，因此运营一个也可用于在当前新冠肺炎疫情等大流行期间运送食品和物资的海陵和共乘自动驾驶车辆车队被提议为可行的解决方案。这种在过境沙漠中部署共享自动驾驶汽车（SAV）的方法将为居民提供一种按需，快速和负担得起的连接到工作地点的选择，使他们能够更快，更可靠地访问工作，服务和设施，否则在合理的旅行时间内不容易访问。该项目的更广泛影响是造福社会，并推动改善智能城市中低收入社区就业机会的预期社会成果。 该团队将从SAV的技术角度以及该技术的社会科学维度来解决这些需求，该技术既可以与社区合作，也可以由社区塑造。该项目汇集了来自多个学科的研究人员与社区合作伙伴，计划一个负担得起的创新移动解决方案，更好地将居民与工作，关键服务和设施联系起来。该项目计划的研究试点部署是在俄亥俄州的玛丽斯维尔市使用SAV，为其居民提供一个快速和负担得起的连接到工作地点的选择。SAV将是全电动汽车，具有最佳路由算法，可减少其行程时间和能源足迹。项目团队将确定与马里斯维尔经济适用房相对应的需求位置和与工作相对应的目的地位置，确定SAV运营的地理围栏区域，计划与现有交通系统集成以增加行程范围，分析现有交通数据，为所选地理围栏区域构建SAV运营模拟环境，并使用它来规划研究试点部署。项目小组还将确定试点项目的供应商和运作方法。这个第一阶段规划项目的规划工作将编入第二阶段建议书，其中将包括第二阶段研究试验计划的计划，以及如何评估其成功与否。 该项目是为了响应CIVIC创新挑战A轨道而资助的。社区和流动性：提供更好的移动选择，以解决住房负担能力和就业之间的空间不匹配，这是NSF和能源部汽车技术办公室之间的合作。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

Low-mid income residents living in affordable housing areas of a city are often faced with problems in accessing jobs or other locations of opportunity due to limited mobility choices including the lack of a public transportation system. Since the underlying problem is usually the high and therefore unfeasible cost of operating public transportation or other similar mobility options, operation of a fleet of ride hailing and ride-sharing autonomous vehicles that can also be used for the delivery of food and supplies during a pandemic like the current Covid-19 outbreak is proposed as a feasible solution. This approach of deploying ride Shared Autonomous Vehicles (SAV) in a transit desert will give residents an on-demand, fast and affordable option of connecting to their job locations, allowing them to have faster and reliable access to work, services and amenities that are otherwise not so easily accessible in reasonable travel periods. The broader impact of this project is to benefit society and advance the desired societal outcome of improving access to jobs from low-mid income neighborhoods in a smart city. The team will be addressing these needs from both the technological perspective of SAVs as well as from the social science dimension of this technology can both work with the community and be shaped by it.This project brings together researchers from several disciplines with community partners to plan an affordable, innovative mobility solution that better connects residents to work, critical services, and amenities. The research pilot deployment that will be planned in this project is the use of SAVs in the City of Marysville, Ohio to give its residents a fast and affordable option of connecting to their job locations. The SAVs will be fully electric vehicles with an optimal routing algorithm that will reduce their trip time and energy footprint. The project team will identify demand locations corresponding to affordable housing in Marysville and destination locations corresponding to jobs, determine the geo-fenced area of SAV operation, plan integration with the existing transportation systems for increasing trip range, analyze existing traffic data, build an SAV operation simulation environment for the chosen geo-fenced area and use it to plan a research pilot deployment. The project team will also identify vendors and methods for operation of the pilot. The planning work of this Stage 1 planning project will be compiled into a Stage 2 proposal and will include the plan for the Stage 2 research pilot and how it will be evaluated for success. This project is funded in response to CIVIC Innovation Challenge Track A. Communities and Mobility: Offering Better Mobility Options to Solve the Spatial Mismatch Between Housing Affordability and Jobs which is a collaboration between NSF and Department of Energy Vehicle Technology Office.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.