AI驱动社区更新：人机交互的社区微更新数字化规划平台
AI for Community Renewal: A Human-Computer Interactive Digital Platform for Urban Community Planning
近年来，随着人工智能技术的飞速发展，以生成式AI为代表的人工智能模型引发了全球性的技术变革。从交通优化、环境监测到辅助城市规划与设计，AI正在重塑城市研究的知识体系与实践逻辑。在此背景下，同济大学建筑与城市规划学院发起AI4CITIES第二届国际会议暨首届暑期工作营，本次活动由国际中国规划学会(IACP)和世界规划教育组织(WUPEN)协办，联合海内外众多高校机构，于2025年7月在中国上海同济大学举行。
作为全球首个聚焦“人工智能+城市”融合领域的暑期工作营，倡导问题导向的跨学科合作，鼓励AI赋能下城市的可持续发展探索。同济大学建筑与城市规划学院热忱邀请来自人工智能与城市学科的杰出学者、高年级本科生、硕士研究生、博士研究生及青年学者参与本次AI4CITIES国际会议与暑期工作营，期待与您共同探索“可解释、可协同、可持续”的AI4CITIES创新研究。
As generative AI rapidly reshapes our understanding of the urban world from mobility optimization and environmental monitoring to plans and design automation new interdisciplinary frameworks are urgently needed. Building on the success of the 2024 event, the College of Architecture and Urban Planning (CAUP) at Tongji University will initiate and host the second AI4CITIES Conference and the inaugural AI4CITIES International Summer Workshop in July 2025, in collaboration with the International Association for China Planning (IACP) and the World Urban Planning Education Network (WUPEN), and in partnership with a wide network of universities and institutions from around the world.
The AI4CITIES Summer Workshop is the first global program to focus specifically on the integration of Artificial Intelligence for Cities. It fosters problem-driven, cross-disciplinary collaboration and encourages the use of AI as a tool for exploring “more explainable, collaborative, and sustainable” urban futures. We warmly invite outstanding scholars, senior undergraduate students, master’s students, PhD. candidates, as well as early-career researchers, from both AI-related and city-focused disciplines to join us in Shanghai for this summer initiative.
导师团队丨Instructors
晏龙旭 副教授丨同济大学建筑与城市规划学院
Longxu Yan：Associate Professor, College of Architecture and Urban Planning, Tongji University
倪张凯 副教授丨同济大学计算机科学与技术学院
Zhangkai Ni：Associate Professor, School of Computer Science and Technology, Tongji University
关键词丨Keywords
人机交互；规划支持系统；社区更新规划；计算机视觉
Human-Computer Interactive；Planning Support System；Community Planning; Computer Vision
议题简介丨Description
随着我国城市发展进入存量更新阶段，大量社区面临设施增补、环境提升等微更新需求。存量社区在更新时面临人车干扰、空间有限、需求多元等复杂条件，往往超出社区规划师个人经验范畴。建立人机交互的社区更新规划支持平台，借助图像AI诊断现状问题，运用实体模型实现更具亲和力的社区参与，将定量评价结果实时呈现给规划师和利益相关者，能够有效的支持社区规划决策。
本议题将介绍和讨论如何将各种智能技术与社区微更新规划需求相结合，以实现人机交互的数字化社区微更新平台。本议题导师团队将带领学员学习规划支持系统的概念与理论；教授关于图像AI的现状社区空间评价，集成各类数智技术开发一个数字化社区微更新平台的雏形。通过结合同济新村的现实更新需求，应用所学理论与技术，探索新技术方法在社区微更新项目中的潜力。
通过本次工作营学习，学员能够更深入地理解AI技术的规划应用，尤其是城市更新项目的复杂性，学习如何将AI技术纳入设计的公众参与过程，并掌握运用先进AI技术辅助公众参与式规划的实践技能。
As China's urban development transitions into the renewal phase, a large number of communities face micro-regeneration demands such as facility supplementation and environmental enhancement. Community renewal encounters complex conditions during renewal, including pedestrian-vehicle conflicts, limited space, and diverse needs, often exceeding the scope of individual planners' expertise. Establishing a human-computer interactive community renewal planning support platform—leveraging image-based AI to diagnose existing issues, employing physical models to facilitate more accessible community engagement, and presenting quantitative evaluation results in real time to planners and stakeholders—can effectively support community planning decision-making.
This topic will introduce and discuss how to integrate various intelligent technologies with the needs of community regeneration planning to realize a digital platform for human-computer interactive community renewal. The instructor team will guide participants to learn the concepts and theories of planning support systems, teach AI-based spatial evaluation of existing communities using image analysis, and develop a prototype of a digital community micro-regeneration platform by integrating diverse digital and intelligent technologies. By addressing the practical renewal needs of Tongji Xincun, participants will apply the acquired theories and technologies to explore the potential of new technical methods in community micro-regeneration projects.
Through this workshop, participants will gain a deeper understanding of AI applications in planning, particularly the complexities of urban renewal projects. They will learn how to incorporate AI technologies into the public participation process of design and acquire practical skills for employing advanced AI tools to assist in participatory planning.
研究示意丨Schematic of the study
虚实融合实验
参与式规划设想
MIT CityScope项目参考
导师介绍丨Instructors
晏龙旭
同济大学建筑与城市规划学院 副教授
Longxu Yan
Associate Professor, College of Architecture and Urban Planning, Tongji University
晏龙旭，同济大学建筑与城市规划学院副教授，2017-2019年MIT Senseable City Lab联合培养，2020年获同济大学城乡规划学博士学位。研究领域包括大数据与城市模型、智能规划技术、城市空间结构等，聚焦引用前沿技术解决城市和规划的实际问题，在SCS、Cites、Transportation、TRD、IJGIS、城市规划和城市规划学刊等期刊发表论文40篇，申请专利9项，获授权3项。主持国家自然科学基金、国家重点研发计划子课题等课题7项，入选省部级人才计划，获2024年中国知网TOP1%高被引学者、金经昌中国城市规划优秀论文、国土空间规划学术年会优秀论文、同济大学优秀博士论文等奖项，开发SimPlan智能规划系统并应用在十余个国土空间规划项目。
Yan Longxu is an Associate Professor at the College of Architecture and Urban Planning, Tongji University. He worked at the MIT Senseable City Lab from 2017 to 2019 as visiting Ph.D. student and earned his Ph.D. in Urban and Rural Planning from Tongji University in 2020. His research focuses on big data and urban modeling, intelligent planning, and urban spatial structure. He has published 40+ papers in leading journals such as Sustainable Cities and Society (SCS), Cities, Transportation, Transportation Research Part D (TRD), International Journal of Geographical Information Science (IJGIS), City Planning Review, and Urban Planning Forum, filed 9 patent applications (3 granted), and led 7 research projects, including grants from the National Natural Science Foundation of China and the National Key R&D Program. Recognized for his academic contributions, he was named a 2024 CNKI Top 1% Highly Cited Scholar, received the Jin-Jingchang Award for Outstanding Urban Planning Paper, the Best Paper Award at the National Land Use Planning Conference, and the Tongji University Outstanding Doctoral Dissertation Award. He also developed the SimPlan Intelligent Planning System, which has been applied in over 10 territorial spatial planning projects.
倪张凯
同济大学计算机科学与技术学院 副教授
Zhangkai Ni
Associate Professor, School of Computer Science and Technology, Tongji University
倪张凯，博士，同济大学计算机科学与技术学院副教授，博士生导师。2021年10月毕业于香港城市大学计算机科学系获博士学位。2021年10月至2021年12月在香港城市大学计算机科学系任职博士后研究员。2017年7月至2018年7月在新加坡南洋理工大学电气与电子工程学院任职助理研究员。
主要研究领域为计算机视觉、人工智能和医疗影像分析等。主要科研成果在IEEE TPAMI、IJCV、CVPR和NeurIPS等国内外学术期刊和会议上发表论文40余篇，申请及授权国内外发明专利20余项。主持国家和省部级等科研项目6项，包括国家重点研发计划子课题（2024）、国家自然科学基金（青年）（2023）、上海市浦江人才计划（2022）、上海市领军人才（海外）青年人才（2022）计划等项目。参与国家和省部级等科研项目6项，其中包括国家自然科学基金（面上）、科技部科技创新2030--重大项目课题、中国工程科技发展战略上海研究院咨询研究等项目。研究成果获日内瓦国际发明展银奖（2024），中国电子学会优秀硕士学位论文奖（2018）。担任CCF多媒体技术专业委员会执行委员、VALSE执行领域主席委员会执行委员、上海市图像图形学学会元宇宙专业委员会副主任、上海市计算机学会计算机视觉专业委员会副秘书长等。
Zhangkai Ni is an Associate Professor at the School of Computer Science and Technology, Tongji University, Shanghai, China. He received his Ph.D. in Computer Science from City University of Hong Kong in October 2021, under the supervision of Prof. Sam Kwong (IEEE Fellow). He was a Postdoctoral Fellow at the Department of Computer Science, City University of Hong Kong, Hong Kong, from October 2021 to December 2021. He was a Research Engineer at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, from July 2017 to July 2018, under the supervision of Prof. Kai-Kuang MA (IEEE Life Fellow). His research interests include computer vision, image and video processing, computer graphics, and biomedical image analysis, with a particular emphasis on generative modeling, neural rendering, 3D reconstruction, image and video restoration, perceptual quality assessment, and medical imaging. He has authored over 40 peer-reviewed publications, including 20+ papers in IEEE Transactions journals, and filed more than 20 invention patents, with 5 granted. He has led or played a key role in over 10 national and provincial research projects, including the National Natural Science Foundation of China, the National Key R&D Program of China, the Science and Technology Innovation 2030 Major Project, the Shanghai Pujiang Talent Program, and the Shanghai Overseas Leading Young Talent Program, etc. Dr. Ni is the recipient of the Outstanding Master’s Thesis Award of the Chinese Institute of Electronics (2018) and the Silver Medal at the 49th International Exhibition of Inventions of Geneva (2024).
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图文丨城市规划系
排版丨CAUP全媒体中心 施琦
编辑丨CAUP全媒体中心
