SCC-IRG Track 1: Crowd+AI Tools to Map, Analyze, and Visualize Sidewalk Accessibility for Inclusive Cities

SCC-IRG 第 1 轨道：用于绘制、分析和可视化包容性城市人行道可达性的群体 AI 工具

• 批准号: 2125087
• 负责人: Jon Froehlich
• 金额: $ 201.8万
• 依托单位: University of Washington
• 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
• 起止时间: 2021-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125087&HistoricalAwards=false
• 关键词: SCC; IRG; Track; Crowd+AI; Tools

Despite decades of civil rights legislation for Americans with disabilities, many city sidewalks remain inaccessible. A key problem is the lack of reliable data on where sidewalks exist and their quality. This lack of data fundamentally limits how sidewalk accessibility can be studied in cities, the ability for communities, advocacy groups, and local governments to understand, transparently discuss, and make informed planning decisions, and how sidewalks and accessibility are incorporated into interactive map, navigation, and Geographic Information Systems analysis tools. This proposal aims to (1) advance understanding of stakeholder needs and opportunities for socio-technical tools to assess and plan for accessible sidewalks; (2) develop and evaluate crowd+AI sidewalk data collection and assessment techniques to improve scalability, reliability, and better support diverse stakeholder needs; and (3) develop and evaluate a suite of open-source urban accessibility analysis and visualization tools. To address these aims, this project's cross-disciplinary team will work with urban and transportation planners, government leaders, disability advocates (e.g. EasterSeals - which also is participating as a Co-PI) and people with disabilities via participatory-design methods, crowdsourcing and stakeholder focus groups and interviews.The proposed work makes foundational contributions to Human Computer Interaction, urban planning, and disability studies. First, this project will advance understanding of stakeholder needs and opportunities for socio-technical tools to support planning of accessible sidewalks, civic engagement, advocacy, and trip planning. Second, this project will develop new data collection and assessment techniques that will contribute new ML-based algorithms, crowd+AI workflows, and quality control mechanisms that improve scalability, reliability, and better support diverse stakeholder needs. The proposed crowd+AI approaches will enhance understanding of the challenges, concerns, and future opportunities for engaging people with disabilities in smart cities civic participation. Third, this project will develop and evaluate a suite of open-source sidewalk accessibility analysis and visualization tools, which are uniquely enabled by our data collection techniques, to help urban planners and transit agencies develop ADA transition plans for improving sidewalk accessibility, enable pedestrian and disability advocates to examine geo-spatial patterns of inaccessibility and review government progress, and help people with disabilities make safe, accessible mobility decisions. The proposed data collection and visualization tools have the potential to transform how sidewalk accessibility data is collected and analyzed, how cities plan for and improve sidewalk accessibility, and how infrastructure funding is dispersed in cities. The tools and data will be open sourced, enabling others to build off our work—including the over 80% of US cities that do not yet have plans to remove sidewalk barriers.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.

尽管几十年来美国残疾人的民权立法，许多城市的人行道仍然无法进入。一个关键问题是缺乏关于人行道存在位置及其质量的可靠数据。这种数据的缺乏从根本上限制了如何在城市中研究人行道的可达性，社区，倡导团体和地方政府理解，透明讨论和制定明智的规划决策的能力，以及人行道和可达性如何纳入交互式地图，导航和地理信息系统分析工具。该提案旨在（1）促进对利益相关者需求和社会技术工具机会的理解，以评估和规划无障碍人行道;（2）开发和评估人群+人工智能人行道数据收集和评估技术，以提高可扩展性，可靠性，并更好地支持不同的利益相关者需求;（3）开发和评估一套开源城市可达性分析和可视化工具。为了实现这些目标，该项目的跨学科团队将通过参与式设计方法、众包和利益相关者焦点小组以及访谈，与城市和交通规划者、政府领导人、残疾人倡导者（例如EasterSeals -也作为Co-PI参与）和残疾人合作。拟议的工作为人机交互、城市规划和残疾人研究做出了基础性贡献。首先，该项目将促进利益相关者对社会技术工具的需求和机会的理解，以支持无障碍人行道的规划，公民参与，宣传和旅行规划。其次，该项目将开发新的数据收集和评估技术，这些技术将有助于新的基于ML的算法，人群+AI工作流和质量控制机制，以提高可扩展性，可靠性，并更好地支持不同的利益相关者需求。拟议的人群+人工智能方法将加强对残疾人参与智慧城市公民参与的挑战，关注和未来机遇的理解。第三，该项目将开发和评估一套开源的人行道可达性分析和可视化工具，这些工具由我们的数据收集技术独特地支持，以帮助城市规划者和交通机构制定ADA过渡计划，以改善人行道可达性，使行人和残疾人倡导者能够检查地理空间模式的不可达性和审查政府的进展，并帮助残疾人安全，无障碍行动决定。 拟议的数据收集和可视化工具有可能改变人行道可达性数据的收集和分析方式，城市如何规划和改善人行道可达性，以及基础设施资金如何分散在城市中。这些工具和数据将是开源的，使其他人能够借鉴我们的工作，包括超过80%的美国城市，这些城市还没有拆除人行道障碍的计划。这个奖项反映了NSF的法定使命，并被认为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来支持。