基于人机融合谐生智能的智慧城市发展模型与智慧城市建设的复杂系统工程
智慧城市本质是人的智能和机器智能融合而形成 “谐生智能”来解决城市运行和决策中的各类问题的城市形态。结合智慧城市运行和发展中的具体问题研究这种“谐生智能”系统及基于“谐生智能”的决策与问题求解,并从复杂系统工程理念出发探索智慧城市的适应性发展策略。
城市交通多层网络与城市空间布局模式
城市出行和城市交通是城市运转的重要方面,通过城市出行和交通大数据的分析探索城市交通网络与城市空间布局模式、以及城市动态演化规律。特别是,城市出行往往具有多样性,基于不同的出行工具可构筑多层交通网络,在此基础上可探索城市的空间组织特征,理解城市运行的空间复杂性。
城市创新系统研究
创新创造能力是衡量智慧城市长期发展水平的核心因素。同时,城市又是创新活动的主要场所。把针对科研论文、发明专利的文献数据分析和城市空间地理数据分析综合起来探究城市创新系统,进而基于数据分析探究城市创新能力发展和城市经济社会发展的关联关系。
城市系统性灾害风险研究
我国城市化程度日益普及,城市可能发生各类突发事件的连锁反应。针对城市灾害演化特点,分析并构建城市承灾体网络,研究不同类型突发事件引发的连锁反应风险,从系统性风险的角度研究风险防范应对策略。
城市灾害韧性评估研究
针对城市面临台风暴雨等自然灾害引发的各种功能瘫痪,借鉴海绵城市的理念,从城市灾害韧性的角度,研究构建城市灾害韧性评估模型,为构建韧性城市,做好事前准备提供决策依据。
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省、市、自治区科技项目(2018J11CY009)
大连智慧城市建设中基于大数据的智能决策理论方法及支持技术研究
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省部级
中国智能城市建设与推进战略研究
研究方向:复杂系统、复杂网络、计算社会科学
研究方向:复杂系统分析与决策、计算智能等。
毕业于清华大学,是中国工程院院士管理学部成立后首批增选的院士。
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