杨廷宝先生，字仁辉，是我国著名建筑学家和建筑教育家，巴卡漫画 建筑学科创立的一代宗师。2021年杨廷宝先生诞辰120周年之际，为传承和光扬先生的学术精神，巴卡漫画 开设“仁辉讲堂”，长期延请国内外著名学者、建筑师举办讲座，弘扬学术，激励后学，推动中国建筑和建筑教育事业的蓬勃发展。本期仁辉讲堂，由东京科学大学环境·社会理工学院建筑系教授大佛俊泰（Osaragi Toshihiro）以及东京科学大学环境·社会理工学院建筑系副教授冲拓弥（Oki Takuya） 主讲，采取线上线下同步直播的方式开展，文末可见预约链接。
Professor Yang Tingbao, also known by his courtesy name as Renhui, was a renowned Chinese architect and architectural educator, who founded the architectural discipline at Southeast University. To honor his academic legacy, on the occasion of Prof. Yang Tingbao’s 120th anniversary in 2021, the School of Architecture at Southeast University launched the "Renhui Forum". This ongoing initiative invites leading scholars and architects from China and abroad to give lectures, advancing academic excellence, nurturing emerging talents, and promoting the development of architecture and architectural education in China.
The upcoming lecture will feature Osaragi Toshihiro, professor and PhD Supervisor, School of Environment and Society, Institute of Science Tokyo. And OkiTakuya, associate professor and PhD Supervisor, School of Environment and Society, Institute of Science Tokyo. The lecture will be held both at the venue and via livestream. The reservation link can be found at the end of the article.
城市脉动:基于空间数据、建模与仿真解码的人与空间互动关系
Cities in Motion: Exploring Human-Space Dynamics Through Spatial Data, Models, and Simulation
主讲人:大佛 俊泰
Osaragi Toshihiro
本次讲座将系统阐述关于不同空间环境中人类行为的研究。通过融合人口统计与空间数据集，探讨人员流动、行人行为以及人空间互动如何共同塑造建筑与城市环境。研究涉及多层次的计算框架与多功能模型的设计与开发，以评估从微观到宏观尺度的空间可达性与建成环境动态。模型应用的重点聚焦于防灾减灾领域，包括模拟财产损失、疏散过程、火灾蔓延及消防员救援行动，旨在建立一套连接数据科学、空间建模与政策模拟的综合方法论，为构建更智能、更具适应性的环境提供支持。
This lecture presents an overview of my research on human behavior across a range of spatial environments. By integrating demographic and spatial datasets, I examine how human mobility, pedestrian behavior, and human–space interactions shape both architectural and urban settings. Computational frameworks and multi-functional models are developed to evaluate accessibility and built-environment dynamics at multiple scales. Particular emphasis is placed on disaster mitigation—modeling property damage, evacuation processes, fire spread, and fire-fighter operations. Through these studies, I aim to establish a comprehensive methodology that connects data science, spatial modeling, and policy-oriented simulation to support smarter and more adaptive environments.
讲者简介
东京科学大学环境・社会理工学院建筑学系教授（博导），教育设施环境创造中心主任，日本地理信息学会会长（2020-2022）、监事。致力于揭示建筑与城市空间中各种环境因素与人的评估、行为特性之间的规律性关系，并以此为基础构建面向建筑策划·城市规划的理论与方法体系。研究领域涉及建筑空间策划、城市区域分析、空间信息科学、城市防灾韧性、行为建模仿真、时空大数据分析等。承担JSPS等基金项目19项，发表学术论文近700篇，学术专著17部，会议报告80余次。
Professor and PhD Supervisor, School of Environment and Society, Institute of Science Tokyo; Director of Center for Educational Facilities and Learning Environments; President and Auditor of the Geographic Information System Association(GISA) of Japan.
His research focuses on uncovering the systematic relationships between various environmental factors and human evaluations/behavioral characteristics in architectural and urban spaces, with the goal of developing theoretical and methodological frameworks for architectural planning and urban design. His research areas include architectural space planning, urban regional analysis, spatial information science, urban disaster resilience, behavioral modeling and simulation, and spatiotemporal big data analysis. He has led 19 research projects funded by organizations such as JSPS, published nearly 700 academic papers, authored 17 academic books, and delivered over 80 conference presentations.
街道意象大数据如何支持城市可持续?
How Can Street Image Big Data Contribute to Urban Sustainability?
主讲人:冲拓弥
Oki Takuya
近年来，街景图像大数据已逐渐被全球众多研究者广泛采用，支撑其应用的计算机视觉技术也取得了突飞猛进的发展。如何将这些数据与技术有效运用于提升城市可持续发展水平？本次讲座将结合本研究室的具体实践案例，包括街道空间视觉评价、建筑外观感知评估与属性推测、空置房屋概率预测等，展示我们的系列研究成果。同时，我们更期待与各位共同探讨街景图像大数据的未来发展方向及创新应用路径。
In recent years, street image big data has been increasingly utilized by researchers worldwide. Advances in computer vision technology for leveraging this data have also been remarkable. How can such data and technology be applied to enhance urban sustainability? This lecture will introduce past initiatives from my laboratory, using examples such as: street impression evaluation, impression evaluation and attribute estimation based on building exteriors; and vacant house probability estimation. Then, I would like to discuss with you the future direction of street image big data and new ways to utilize them.
讲者简介
东京科学大学环境・社会理工学院建筑学系副教授（博导）,日本地理信息系统学会执行委员会主任委员。致力于利用大数据与人工智能技术建立循证（Evidence-Based）的建筑设计与城市规划方法，通过定量分析揭示环境特征、空间组织与人类感知、行为之间的关系，为设计与规划提供科学依据。研究方向涉及大数据与人工智能、城市空间信息建模、数据驱动设计、街道环境感知与智能化评价。承担JSPS等基金项目5项，发表学术论文100余篇，学术报告50余次。
Associate Professor and PhD Supervisor, School of Environment and Society, Institute of Science Tokyo; Director of the Executive Committee, Geographic Information System Association (GISA) of Japan.
He is dedicated to establishing evidence-based approaches in architectural design and urban planning by leveraging big data and artificial intelligence technologies. His work focuses on quantitative analysis to reveal the relationships between environmental characteristics, spatial organization, and human perception and behavior, thereby providing a scientific foundation for design and planning. His research areas include big data and AI, urban spatial information modeling, data-driven design, and perceptual and intelligent evaluation of street environments. He has led 5 research projects funded by organizations such as JSPS, published over 100 academic papers, and delivered more than 50 academic presentations.
