1 thought on “How does big data stimulate the "group intelligence" of urban agglomerations?”
Randall
The urban agglomeration is an important trend and phenomenon of global urbanization. The urban agglomeration has undertaken the main population and economic scale of the core countries and regions. The final molding on the basis of this is to form the entire area, the industries and economic functions of each city are complementary and complementary economic functions and economic functions. Specialized functional coordination spatial structure. In the second half of my country's urbanization (after the urbanization rate reaches 50%), the urban agglomeration, as the main form of the new urbanization, has become the core growth point of my country's productivity layout. It is also an important carrier and space platform for my country's innovation -driven development strategy. Essence The development of urban agglomerations has entered a new stage, facing the process of transformation from incremental expansion to the increase in stock. In this process, big data and smart cities technology will profoundly affect the development and change of urban agglomerations. In recent years, quantitative research on urban and data science based on information technology and data has become an important promotion force for the reform of the urban planning industry. Especially with the continuous breakthrough of the bottlenecks of big data technology methods, a large amount of data has continuously formed in -depth accumulation, and new trends in big data research have also emerged -gradually described by the static description of the internal space structure of a single city in the past, to the larger regional scale of the larger regional scale Comprehensive research leap. Research on the latest dynamic systems, complex networks, and multi -dimensional stream spaces have gradually been applied to the theoretical research and planning practice of urban agglomerations. The essence of urban agglomeration is the space of flow: flow of people, logistics, economic flow, and information flow. Under the guidance of the market economy, the flow and integration of cities is most important, which has promoted the formation and development of urban agglomerations. The urban agglomeration is a composite space based on this complex stream network. In traditional urban research and planning policies, due to the restrictions of technical means, the layout and development model of urban agglomerations are bound by static and ideal models. For example, in the urban agglomeration planning, we are used to dividing cities into different levels, so that the "blueprint" planning may be difficult to implement. In fact, compared with the static scale of cities, the collection and diffusion of dynamic elements between cities is the core connotation of urban agglomeration development and regional linkage. Big data and smart city technology can achieve refined supervision and intervention of dynamic element flow through quantitative methods, thereby achieving the smart development of urban agglomerations. This taking the Beijing -Tianjin -Hebei urban agglomeration as an example, in recent years, the three places have been promoting coordinated development. As a leader, Beijing has been linked in the industry. However, in actual work, the industry is relatively easy to transfer, and the population of free flow is difficult to grasp its total amount, and the statistics of each caliber are often inconsistent. This brings difficulties in the population management policy of the urban agglomeration. Big data such as mobile phone signaling and Internet location data can be used to analyze the space -time characteristics of population activities in depth. For example, the population of different categories, occupations, and age stages analyzes its characteristics of residence and commuting at different times of distribution, and study its characteristics of flowing inside the urban agglomeration. These new data sources can see the characteristics of self -organizing urban agglomerations, help us better understand the characteristics of urban agglomerations, and then provide strong support for the scientific decision -making of urban planning. Big data will help the static urban management system to dynamic ecosystems. Population management policies can also adopt more flexible policy tools to serve free mobile services during the life cycle of the population. We can observe the real -time changes in the population of Beijing, track the flow of population, observe the changes in population flow trends between the three places of Beijing -Tianjin -Hebei, and provide elastic, timely facilities and other services through comprehensive and dynamic monitoring of the population. In this way, we may achieve more humane population management on the large space scale of the urban agglomeration. Some cities inside the urban agglomeration have decreased, but the population space distribution of the entire urban agglomeration will be optimized. In addition to the population, big data provides us with technical means of quantitative, refined, and comprehensive perception to analyze and detect the characteristics of various real factors, so that we can comprehensively, three -dimensional and real -time recognition of the urban agglomerations in real time. The problem, then promote the efficient use of a variety of factors resources. For example, through the in -depth analysis of the economic flow inside the urban agglomeration, it can clarify the association and quantitative relationship between different cities and industries and the path of industrial evolution, and provide decision support for precise investment and industrial transformation and upgrading of cities at the level of urban agglomeration at the level of urban agglomerations. The combination of multi -source and multi -dimensional big data can achieve a superposition analysis of multi -important prime, helping urban agglomerations to achieve a reasonable match at the level of urban agglomeration at the level of urban agglomeration, optimize the layout and space form of urban agglomerations, and improve their development efficiency. The city is a dynamic life form, while the urban agglomeration is the collection of the city, and the complexity of the vital signs grows. If traditional statistical data is like traditional medicine, and prescriptions for the development of urban agglomerations according to experience, then big data will be personally detected by the holographic detection of urban agglomerations like emerging precision medicine. And accurate treatment plan. For urban management departments, based on data, building a dynamic monitoring index system and informatization management platform is an inevitable requirement for the coordinated development of urban agglomerations and enhancement of wisdom. It is also part of the modern urban agglomeration system. Big data provides intelligent support for the coordinated development of urban agglomerations, and supports the scientific and refined management of regional policies. For developers, with the development of urban agglomerations and regional linkage, as well as the suburbs of my country's metropolis and factor overflow, the peripheral radiation areas of major cities have also begun to become a new growth point for urban development in my country. Big data can help developers accurately judge the characteristics and space characteristics of urban agglomerations, and find the value potential of radiation areas in the core cities in the core cities of urban agglomerations. By constructing a full cycle, integrated, quantitative, and intelligent urban development and capital operation platform to optimize investment and development results. The public also benefited from the process of big data intervention in urban agglomerations. In fact, all kinds of big data such as flow, traffic, and information flow are from public space -time activities. Everyone is providing behavioral samples for the holographic observation and research of urban agglomerations in the way of "voting with feet". Big data -based population monitoring will promote the orderly flow of the population, effectively promote the healthy and orderly development of urbanization in my country, and ultimately provide a more complete well -being for residents of the core subject of urban agglomeration. The past smart cities are the development path of a single city. Now the integration of big data and urban agglomeration will realize the "group intelligence" of multiple cities. The latest "new IT era" technology such as big data, deep learning, and neural networks will fully achieve data value in the development and operation of urban agglomerations in the new era. Sexual solution. Big data can know what users need.
The urban agglomeration is an important trend and phenomenon of global urbanization. The urban agglomeration has undertaken the main population and economic scale of the core countries and regions. The final molding on the basis of this is to form the entire area, the industries and economic functions of each city are complementary and complementary economic functions and economic functions. Specialized functional coordination spatial structure. In the second half of my country's urbanization (after the urbanization rate reaches 50%), the urban agglomeration, as the main form of the new urbanization, has become the core growth point of my country's productivity layout. It is also an important carrier and space platform for my country's innovation -driven development strategy. Essence The development of urban agglomerations has entered a new stage, facing the process of transformation from incremental expansion to the increase in stock. In this process, big data and smart cities technology will profoundly affect the development and change of urban agglomerations.
In recent years, quantitative research on urban and data science based on information technology and data has become an important promotion force for the reform of the urban planning industry. Especially with the continuous breakthrough of the bottlenecks of big data technology methods, a large amount of data has continuously formed in -depth accumulation, and new trends in big data research have also emerged -gradually described by the static description of the internal space structure of a single city in the past, to the larger regional scale of the larger regional scale Comprehensive research leap. Research on the latest dynamic systems, complex networks, and multi -dimensional stream spaces have gradually been applied to the theoretical research and planning practice of urban agglomerations.
The essence of urban agglomeration is the space of flow: flow of people, logistics, economic flow, and information flow. Under the guidance of the market economy, the flow and integration of cities is most important, which has promoted the formation and development of urban agglomerations. The urban agglomeration is a composite space based on this complex stream network.
In traditional urban research and planning policies, due to the restrictions of technical means, the layout and development model of urban agglomerations are bound by static and ideal models. For example, in the urban agglomeration planning, we are used to dividing cities into different levels, so that the "blueprint" planning may be difficult to implement. In fact, compared with the static scale of cities, the collection and diffusion of dynamic elements between cities is the core connotation of urban agglomeration development and regional linkage. Big data and smart city technology can achieve refined supervision and intervention of dynamic element flow through quantitative methods, thereby achieving the smart development of urban agglomerations.
This taking the Beijing -Tianjin -Hebei urban agglomeration as an example, in recent years, the three places have been promoting coordinated development. As a leader, Beijing has been linked in the industry. However, in actual work, the industry is relatively easy to transfer, and the population of free flow is difficult to grasp its total amount, and the statistics of each caliber are often inconsistent. This brings difficulties in the population management policy of the urban agglomeration.
Big data such as mobile phone signaling and Internet location data can be used to analyze the space -time characteristics of population activities in depth. For example, the population of different categories, occupations, and age stages analyzes its characteristics of residence and commuting at different times of distribution, and study its characteristics of flowing inside the urban agglomeration. These new data sources can see the characteristics of self -organizing urban agglomerations, help us better understand the characteristics of urban agglomerations, and then provide strong support for the scientific decision -making of urban planning.
Big data will help the static urban management system to dynamic ecosystems. Population management policies can also adopt more flexible policy tools to serve free mobile services during the life cycle of the population. We can observe the real -time changes in the population of Beijing, track the flow of population, observe the changes in population flow trends between the three places of Beijing -Tianjin -Hebei, and provide elastic, timely facilities and other services through comprehensive and dynamic monitoring of the population. In this way, we may achieve more humane population management on the large space scale of the urban agglomeration. Some cities inside the urban agglomeration have decreased, but the population space distribution of the entire urban agglomeration will be optimized.
In addition to the population, big data provides us with technical means of quantitative, refined, and comprehensive perception to analyze and detect the characteristics of various real factors, so that we can comprehensively, three -dimensional and real -time recognition of the urban agglomerations in real time. The problem, then promote the efficient use of a variety of factors resources. For example, through the in -depth analysis of the economic flow inside the urban agglomeration, it can clarify the association and quantitative relationship between different cities and industries and the path of industrial evolution, and provide decision support for precise investment and industrial transformation and upgrading of cities at the level of urban agglomeration at the level of urban agglomerations. The combination of multi -source and multi -dimensional big data can achieve a superposition analysis of multi -important prime, helping urban agglomerations to achieve a reasonable match at the level of urban agglomeration at the level of urban agglomeration, optimize the layout and space form of urban agglomerations, and improve their development efficiency.
The city is a dynamic life form, while the urban agglomeration is the collection of the city, and the complexity of the vital signs grows. If traditional statistical data is like traditional medicine, and prescriptions for the development of urban agglomerations according to experience, then big data will be personally detected by the holographic detection of urban agglomerations like emerging precision medicine. And accurate treatment plan.
For urban management departments, based on data, building a dynamic monitoring index system and informatization management platform is an inevitable requirement for the coordinated development of urban agglomerations and enhancement of wisdom. It is also part of the modern urban agglomeration system. Big data provides intelligent support for the coordinated development of urban agglomerations, and supports the scientific and refined management of regional policies.
For developers, with the development of urban agglomerations and regional linkage, as well as the suburbs of my country's metropolis and factor overflow, the peripheral radiation areas of major cities have also begun to become a new growth point for urban development in my country. Big data can help developers accurately judge the characteristics and space characteristics of urban agglomerations, and find the value potential of radiation areas in the core cities in the core cities of urban agglomerations. By constructing a full cycle, integrated, quantitative, and intelligent urban development and capital operation platform to optimize investment and development results.
The public also benefited from the process of big data intervention in urban agglomerations. In fact, all kinds of big data such as flow, traffic, and information flow are from public space -time activities. Everyone is providing behavioral samples for the holographic observation and research of urban agglomerations in the way of "voting with feet". Big data -based population monitoring will promote the orderly flow of the population, effectively promote the healthy and orderly development of urbanization in my country, and ultimately provide a more complete well -being for residents of the core subject of urban agglomeration.
The past smart cities are the development path of a single city. Now the integration of big data and urban agglomeration will realize the "group intelligence" of multiple cities. The latest "new IT era" technology such as big data, deep learning, and neural networks will fully achieve data value in the development and operation of urban agglomerations in the new era. Sexual solution.
Big data can know what users need.