城市发展演化和区域资源协同 (Urban development evolution and regional resource synergies)

　　本研究方向聚焦城市演化与区域资源可持续发展问题，采用“事理-物理-人理”的复杂系统分析范式，解耦城市社会-生态系统中的“主体-交通-水土-生态”复杂互馈关系，揭示城市“交通、用地、资源、环境”等多元资源协同治理的“认知-行为-决策”机理;突破复杂场景下满足城市需求的多元资源跨时空协同调度瓶颈，构建城市多元资源协同治理的多尺度嵌套网络模型，辨析气候变化与人类活动对城市演化和区域资源的影响机理及风险传导过程，研发数智驱动的城市多元资源协同管理的风险溯源、动态预警、全景管控技术体系;采用多智能体计算科学方法，研发支持实时决策方案预演的人机物协同仿真方法，构建支持移动互联、场景模拟、群智感知的城市可持续发展综合管理平台。

　　Focusing on urban evolution and sustainable development of regional resources, this research direction adopts the complex system analysis paradigm of "matter-physics-human reason" to decouple the complex mutual-feedback relationship of "subject-transportation-soil-water-ecology" in the urban social-ecological system, and reveals the "cognition-behavior-decision-making" mechanism of the synergistic governance of multiple resources in the city, such as "transportation, land use, resources, and environment". Breakthrough the bottleneck of inter-temporal and spatial coordinated scheduling of multiple resources to meet urban needs under complex scenarios, construct a multi-scale nested network model for coordinated management of multiple resources in cities, analyze the mechanism of the impact of climate change and human activities on the evolution of cities and regional resources as well as the process of risk transmission, and develop a digital intelligence-driven technology system for risk tracing, dynamic early warning, and panoramic control for the coordinated management of multiple resources in cities. Adopting multi-intelligence body computing scientific methods, research and development of human-machine-object collaborative simulation methods to support real-time decision-making program preview, and construction of an integrated management platform for sustainable urban development that supports mobile interconnectivity, scenario simulation, and group intelligence sensing.