SCC-CIVIC-PG Track A: Data-driven and Community Engaged Planning Tools For Addressing Spatial Mismatch

为了解决空间不匹配的问题，住房中介机构寻求找到与工作和机会接近或联系良好的经济适用房。与此同时，运输机构努力扩大通道，同时最大限度地降低运营成本和能源消耗。这两项工作的规模往往限制了围绕住房和交通需求进行深入的、社区参与的规划的能力。该规划拨款的目标是从利益相关者和社区的角度确定当前估算空间不匹配的方法中的差距；探索和记录基于社区数据的模型；为跨部门规划工具设计内部和面向社区的框架。最终，这将创建一个分析框架，使用定量和定性方法解决空间不匹配问题，并开发透明的场景规划工具。该项目将社区参与的规划、住房政策和金融、交通需求和网络建模、交通能效以及数据驱动的公共政策分析结合在一起。该项目旨在建立代表空间失配的社区知情框架，为直接整合住房和交通规划过程的规划工具奠定基础。可达性是个人体验的交通质量（即旅行成本、时间、可靠性）以及与工人技能和其他机会相匹配的工作的邻近性和连接性的函数。现有的空间失配研究方法对低收入旅行者的选择形成了一个推理结构；此外，他们专注于交通的调整，同时将住房视为固定的，反之亦然。空间不匹配既不是二元的，也不是静态的度量标准，也不能仅仅通过经验来衡量：它的测量需要社区以旅行模式、约束和需求的形式输入，以及交通连接的质量。该项目旨在为空间错配干预的概率、非线性路径模型开发一个框架，允许定性数据为定量度量构建提供信息。社区参与过程将有助于确定当前规划过程中的差距和可达性计算中的新变量。这个项目是响应公民创新挑战项目，轨道A -社区和流动性：提供更好的流动性选择来解决住房负担能力和工作之间的空间不匹配，是国家科学基金会和能源部之间的合作项目。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。

To address spatial mismatch, housing agencies seek to locate affordable housing proximate or well-connected to jobs and opportunities. At the same time, transit agencies strive to expand access while minimizing operational costs and energy consumption. Both of these efforts are often done at scales that limit the ability to do deep, community-engaged planning around housing and transit needs. The goal of this planning grant is to identify gaps in current methods of estimating spatial mismatch from both a stakeholder and community perspective; to explore and document models based on data from the community; and design internal and community-facing frameworks for cross-sector planning tools. Ultimately, this will enable the creation of an analytical framework for addressing spatial mismatch using quantitative and qualitative approaches and develop transparent scenario planning tools. The project brings together community-engaged planning, housing policy and finance, transportation demand and network modeling, transportation energy-efficiency, and data-driven public policy analysis.This project aims to build community-informed frameworks representing spatial mismatch, which lay the foundation for planning tools that directly integrate with housing and transportation planning processes. Accessibility is a function of the transit quality experienced by individuals (i.e., travel cost, time, reliability) and the proximity and connectivity to jobs that match a worker’s skills and other opportunities. Existing methods to study spatial mismatch force an inferential structure on low-income traveler choice; additionally, they focus on adjustments to transit while treating housing as fixed, and vice versa. Spatial mismatch is neither a binary nor static metric, nor can it be measured by empirics alone: its measurement requires community input in the form of travel patterns, constraints, and needs, as well as the quality of transit connections. This project aims to develop a framework for probabilistic, non-linear path models of spatial mismatch interventions, that allow for qualitative data to inform quantitative metric construction. The community engagement process will allow for identification of gaps in current planning processes and new variables that belong in the calculation of accessibility. This project is in response to the Civic Innovation Challenge program, Track A— Communities and Mobility: Offering Better Mobility Options to Solve the Spatial Mismatch Between Housing Affordability and Jobs—and is a collaboration between 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.