SCC-PG: The Prospects for Artificial Intelligence in Urban Planning

SCC-PG：人工智能在城市规划中的前景

• 批准号: 2125259
• 负责人: Thomas Sanchez
• 金额: $ 14.88万
• 依托单位: Virginia Polytechnic Institute and State University
• 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 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125259&HistoricalAwards=false
• 关键词: SCC; PG; Prospects; Artificial; Intelligence

The breadth of artificial intelligence (AI) applications has grown significantly, particularly over the last decade, increasing productivity and efficiency across numerous sectors. Cities have become the primary sites of data collection and algorithm deployment, but the professional field of urban planning lacks a comprehensive evaluation of how AI can/should be used to improve analytical processes. Urban planning anticipates and guides the future physical and social conditions of communities to improve quality of life – all with a heavy reliance on increasingly large and varied datasets, which suggests the untapped potential of AI if the field were to develop robust frameworks for ethical deployment. This project examines and seeks to address the tension between improving the efficiency of public service provision and enhancing redistributive and procedural equity within urban decision-making. As AI’s role in society grows, so do the concerns that it may reproduce racial bias, deepen “digital divides,” infringe on privacy, and do little to address the “wicked problems” at the heart of complex social issues. In addition, it may shed light on broader impacts of automation in urban life, such as workforce displacement, lifestyle changes, and future developments in public service professions.This project is a partnership between Virginia Tech, the American Planning Association (APA), and Arlington County, Virginia’s Departments of Community Planning, Housing and Development (DCPHD Planning Division) and Technology Services (DTS). As part of this planning grant, the partnership will survey members of the APA and conduct feasibility analysis workshops and focus group sessions with DCPHD. The objective is to assess a broad range of tasks performed by County planners and determine which of these have the highest likelihood of being assisted and improved by AI technologies. This includes county-level responsibilities for comprehensive planning, land use, infrastructure, environment, housing, parks, and transportation. This project expects that each of these areas has the potential for more advanced data and analytical capabilities. The approach partners researchers, planning professionals, and community members will focus on the explainability and transparency of AI-based planning activities. This relates to the equitable deployment of AI methods and will also address concerns about trust in the use of data and analytical processes.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.

人工智能（AI）应用的广度显着增长，特别是在过去十年中，提高了众多领域的生产力和效率，城市已成为数据收集和算法部署的主要场所，但城市规划的专业领域缺乏全面的研究。评估人工智能可以/应该如何用于改进分析过程，以预测和指导社区未来的物质和社会条件，以提高生活质量——所有这些都严重依赖于日益庞大和多样化的数据集，这表明尚未开发的潜力。如果人工智能领域要发展壮大的话该项目研究并寻求解决提高公共服务提供效率与增强城市决策中的再分配和程序公平之间的紧张关系。偏见，加深“数字鸿沟”，侵犯隐私，并且对解决复杂社会问题核心的“棘手问题”无能为力。此外，它可能揭示自动化对城市生活的更广泛影响，例如劳动力流失。 、生活方式的改变，以及该项目是弗吉尼亚理工大学、美国规划协会 (APA) 以及弗吉尼亚州阿灵顿县社区规划、住房和发展部 (DCPHD 规划部) 和技术服务部 (DTS) 之间的合作项目。作为该规划拨款的一部分，该伙伴关系将调查 APA 成员，并与 DCPHD 举办可行性分析研讨会和焦点小组会议，目的是评估县规划人员执行的广泛任务，并确定其中哪些任务最有可能实现。受到帮助和该项目期望这些领域都有更先进的数据和分析能力。研究人员合作伙伴、规划专业人员和社区成员将重点关注基于人工智能的规划活动的可解释性和透明度，这关系到人工智能方法的公平部署，还将解决对数据和分析过程使用的信任问题。 NSF 的法定使命并被认为值得支持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。

项目成果

The prospects of artificial intelligence in urban planning

• DOI: 10.1080/12265934.2022.2102538
• 发表时间: 2022-07
• 期刊: International Journal of Urban Sciences
• 影响因子: 2.9
• 作者: Thomas W Sanchez;H. Shumway;Trey Gordner;Theo Lim