Data-driven changes in urban governance 数据驱动的城市治理模式的变革
At present, the grass-roots management of cities has long relied on assault and sports law enforcement, and management does not address the symptoms. Digital twin cities will implement efficient collaborative governance based on big data integration and big data analysis. Real-time dynamic data such as city basic data, government service business data, medical treatment, and transportation are added to geographic entities, and the geographic entities are loaded into the city information model (CIM) to form an entity, model, and data integration. Such a city command hub with global data summary enables city commanders to gain insight into the city's operating situation and laws from a global perspective. Through the extraction of urban characteristics, managers can find problems in a timely manner, grasp development trends, and make it easy to target and accurately implement policies. To this end, the functional departments of the city government will be merged from the divided departments into a large ministry, with the city as the starting point for urban governance. On the other hand, government personnel will be further divided into two functions: virtual and real. One part will manage and make decisions in the virtual urban space, and the other part will manage and serve the actual city site.
Each emergency will promote a series of changes. SARS in 2003 brought about a reform of the urban governance model. I believe that after the epidemic, we will also sum up experience and gradually improve the level of urban scientific governance. As an important comprehensive technical means for emergency measures, smart cities are the key to the scientific governance of cities.