基于智慧城市多源时空数据脉动规律认知的城市病研究

随着智慧城市上升为国家战略和《新型智慧城市评价指标》出台,各级政府不断推进新型智慧城市建设,各类便民惠民项目争相落地,产业规模呈现快速增长态势。针对常见城市病,利用我们在智慧城市建设中形成的空间信息公共平台所汇聚的各类数据,运用大数据思维和科学的数据挖掘手段,全方位、多角度揭示城市潜藏规律,把脉城市健康脉搏,辅助城市管理、规划决策和应急响应。依托"城市脉动"基本理念,针对城市交通拥堵、城乡垃圾堆放、城市热岛涌现、社会案件频发等常见"城市病",融合数据挖掘技术和深度学习手段对长序列时空大数据进行分析,揭示"城市脉动"变化规律并进行可视化展示,最终为城市规划和管理决策者提供科学指导,提升智慧城市公共服务效率。

Research on Urban Diseases Based on the Fluctuation Law of Multi-source Spatial Temporal Data of Smart City

With the smart city rising to national strategy and the introduction of "the evaluation of new smart city" , all levels of government continue to promote the construction of new smart city, all kinds of convenient new affordable projects landing, and industry scale showed rapid growth. For the common urban diseases, the use the formation of public information platform in construction of smart city by the various types of data, and logical thinking of big data and scientific means of data mining, displaying latent law of urban in all-round and multi-angle, the pulse of urban health pulse, all those assisted the city management, plan decisions and response emergency. Based on the basic concept of "city pulsation", for urban diseases such as urban traffic congestion, urban and rural garbage dumps, urban heat island and social events, this paper analyzes the long sequence space-time big data with data mining techniques and deep learning methods, scientifically reveals the law of changes of urban pulsation, displays the visualization of urban pulsation's laws, and ultimately provides scientific guidance for urban planning and management to decision makers and further improves the efficiency of public services of smart city.