会议日程公布｜第四届城市科学大会

会议简介

城市科学正处在从数据驱动研究向跨学科融合与智能化研究范式拓展的重要阶段。随着城市问题日益呈现多尺度耦合、跨系统传导与高度不确定等特征，传统单一学科视角和静态分析方法已难以充分回应复杂城市系统的研究需求。城市科学不仅需要深化对城市运行机制、演化过程与治理干预的理解，也需要借助大语言模型、智能体、具身智能与世界模型等新思路、新方法，探索以人工智能深度参与和跨学科知识融合为基础的城市科学新范式。

第四届城市科学大会旨在以城市科学为锚点，推动城市科学与人工智能、公共健康、社会治理、气候变化、认知科学、复杂系统等方向的交叉融合创新，搭建跨学科交流与合作的平台。大会将于8月8日至9日在香港科技大学（广州）举办，邀请来自牛津大学、芝加哥大学、康奈尔大学、哥伦比亚大学、瑞士洛桑联邦理工学院、美国东北大学、新加坡国立大学、北京大学、清华大学、香港大学、香港科技大学（广州）、上海交通大学等国内外高校与科研机构的专家学者作特邀报告，共同探讨应对城市复杂性挑战的前沿理念、创新技术与实践方案。

同时，大会将邀请 Nature Cities、Science Advances等高水平综合类与交叉学科期刊编辑参与圆桌讨论，围绕城市科学研究前沿、跨学科论文选题、期刊发表趋势与青年学者学术成长等议题展开深入交流。

本届大会论文与海报投稿的录用结果现已公布！口头汇报论文将获得在大会期间现场报告与深入交流的机会，优秀工作将推荐至领域高水平SCI期刊发表。录用海报也将获得闪电展示机会，本次会议的海报环节汇集了众多高水平研究工作，其中不乏Nature正刊及子刊级别的前沿成果，充分展现了城市科学领域的最新突破与学术高度。论文与海报主题涵盖城市科学、计算社会科学、数据科学、人工智能及其交叉应用等方向。欢迎大家注册参会，共赴这场城市科学的学术盛会！

Urban Cup 2026 挑战赛入选名单也已揭晓！三大赛道——“城市具身智能与世界模型”、“城市科学 Vibe Research”、“城市社会模拟 AgentSociety”——涌现出众多极具创新性的解决方案，入围决赛队伍将在大会现场进行成果展示，并获得与国际著名城市科学学者当面交流探讨的宝贵机会。本届赛事受到清华大学-美团数智生活联合研究中心等合作方联合资助， 总奖金达15万元，并为各赛道提供了计算平台与必要的技术支持。

投稿入选

Decarbonizing Urban Buildings for Net-Zero Transitions: Costs, Benefits, and Retrofit Pathways

Shihong Zhang and Zhe Wang 

How stable urban service networks emerge from unstable informal mobility

Yuhang Wan, Xiaoyue Xing and Darui Tian

Segmentation of Emerging Cross-Border Visitor Types at the World’s Busiest Border: Evidence from Smartphone Data

Yu Lu, Yufei Wu and Li Zhang

AI Driven Urban Planning Methodology: A Large Language Model Enhanced Framework for Inner-City Migration and Counterfactual Urban Policy Evaluation

Peng Lu and Yuhao Ke

Where VLMs Get Cities Wrong: Spatially Structured Affordance Bias and Its Correction at City Scale

Guosheng Yang, Jiawang Du, Hanzhi Zu and Cai Wu

（仅展示部分入选）

Tong Xia, Emil Carlsson, Mikael Kageback, Marco Montagna, John S. Ji, Cecilia Mascolo. Short-Term Associations between Air Pollution and Nocturnal Cough Frequency. *Communications Health*, 2026.

Yuan Yuan, Jingtao Ding, Zhongpu Qiu, Jingfang Fan, Yong Li. Learning the Coupled Dynamics of Global Climate Modes. *Nature Machine Intelligence*, 2026.

Yunke Zhang, Fengli Xu, Qi R. Wang, Esteban Moro, Yang Yue, Huandong Wang, Bin Chen, Yu Liu, Dongping Fang, Peng Gong, Lus M. A. Bettencourt, Michael Batty, Yong Li. Generative AI in Urban Science and Practice. *Nature Cities*（即将发表）, 2026.

Kangning Huang, Mingzhen Lu. Nested Economies of Scale in Global City Mass. *Nature Cities*（返修中）, 2026.

Ding J, Li S, Sun C, et al. A Temporal Dataset of Onshore Wind Turbines in China Derived from Satellite Imagery. *Scientific Data*（投稿中）, 2026.

Hongrong Yang, Markus Schläpfer. Learning Transferable Interaction Representations for Fine-Grained Mobility Forecasting across Cities. *Nature Computational Science*（投稿中）, 2026.

Qianyue Hao, Sibo Li, Fengli Xu, Tong Duan, Guozhen Zhang, Qinglai Guo, Zhe Wang, Yu Wang, Deliang Chen, Yong Li. Coordinating Electric-Vehicle Mobility and Bidirectional Charging Enables City-Scale Solar Integration. *Nature Communications*（投稿中）, 2026.

Zhilong Chen, Fengli Xu, Yong Li, James Evans. Scientific Inequality and the Burden of Open Access. *Science*（投稿中）, 2026.

Ziyi Liu, Lin Chen, Yong Li. Information Gerrymandering of LLM Agents. *Nature Human Behaviour*（准备投稿）, 2026.

Yuanyi You, Yunke Zhang, Yong Li. Dynamic Inequalities in Urban Heat Exposure under Climate Change. *Nature Cities*（准备投稿）, 2026.

Jinzhou Cao, Jiashi Chen, Xiangxu Wang, Weiming Huang, Dongsheng Chen, Tianhong Zhao, Wei Tu, Qingquan Li. UrbanMMCL: A Multimodal Contrastive Learning Framework for Urban Representation. *ISPRS Journal of Photogrammetry and Remote Sensing*, 2026.

Xiaoyue Luo, Shifen Cheng, Yitao Yang, Peixiao Wang, Shengmin Guo, Feng Lu. Heterogeneity-Guided Tensor Decomposition for Spatiotemporal Traffic Data Imputation. *IEEE Transactions on Intelligent Transportation Systems*, 2026.

Ji Cao, Yu Wang, Tongya Zheng, Jie Song, Qinghong Guo, Zujie Ren, Canghong Jin, Gang Chen, Mingli Song. Capturing Context-Aware Route Choice Semantics for Human Mobility Modeling. *IEEE Transactions on Knowledge and Data Engineering*, 2026.

Xiangxu Wang, Jinzhou Cao, Tianhong Zhao, Bowen Zhang, Guanzhou Chen, Zhenhui Li, Haolin Chen, Wei Tu, Qingquan Li. ST-Camba: Spatiotemporal Context-Aware Mamba for Traffic Flow Prediction. *Information Fusion*, 2026.

Chun Song, Xuchuan Lin, Rui Cao. Coupled Density–Hazard Navigation for Evacuation Reliability in Dense Urban Informal Settlements. *Reliability Engineering & System Safety*, 2026.

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赛道2