Big Data Applications in Risk Prevention and Control of Great Cities
December 24, 2021 08:10 Source: "China Social Sciences" December 24, 2021, Issue 2316, author: Wu Xiaolin

Due to the advantages of location and resources,Special cities is the most active area of ​​population mobility,and have generated huge traffic around the population economic and social activities、Resource and information flow。huge traffic is both a password for urban vitality,There are all kinds of risks that are large or small。Effective identification of traffic、Get and use big data,It is an important support for becoming a risk of preventing and controlling and controlling the major cities。

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According to the seventh national census data launched in 2020,Cities above the large and above our country (hereinafter referred to as the "Great Cities") have reached 21 seats。in 2020,The completion area of ​​21 special cities accounts for 0.18%of the country's land area,GDP domestically accounts for 32.9%of the country。In the next few years,Some cities will enter the ranks of large or large cities one after another,This means that GDP, which will contribute 40 % or even half of the country in major cities。

Great cities are often traffic cities,Have a huge population、Resource、Information and traffic flow,After flowing out of the flow of huge amounts of resource elements,It is an important node city in the country and even the world、Hub City。From the perspective of population flow,The population of the establishment of a large city exceeds 5 million,Due to the advantages of location and resources,Special cities is the most active area of ​​population mobility,and generate bet365 best casino games a huge amount of traffic trajectory and resources around the population economic and social activities、Information flow。Due to the characteristics of the traffic city,Once there is an emergency risk in a large city,may face huge challenges,Treatment of regional and even global chain reactions。A recommendations for the "Central Committee of the Communist Party of China on the Fourteenth Five -Year Plan for the Development of the National Economic and Social Development and the 2013 Vision Goals of the Fourteenth Five -year Planning of the National Economic and Social Development" adopted in the proposal to improve the level of urban governance,"Strengthening risk prevention and control in the governance of the mega city","Preventing and resolving various risks affecting my country's modernization process,Build a national security barrier ",Build a sponge city、"Tough City",The core is to enhance the toughness of the big cities,Effective prevention and responding to various major emergencies,Reduce the impact and uncertainty caused by the risk。

Under the conditions of new technological development,Central and different cities emphasize "applying modern information technology to deal with various risks",Many cities have begun to explore smart cities and big data governance,The important content is to use big data to prevent and control various risks。In recent years,In the process of dealing with risks in different places,Big data does play a positive role。

  Questions in the practice of risk prevention and control in the large city

In recent years, some major cities have been in the process of risk prevention and control,The big data that has been highly hoped "Break" bet365 best casino games is almost silent。In practice,Why do big data fail in risk governance、What about failure? What is the reason?。

The first is the question of the concept of governance。The development of big data has provided favorable conditions for the modernization of governance。The Central Committee of the Communist Party of China released in the first half of 2021、The State Council's "Opinions on Strengthening the Governance System and Modernization of Governance System and Governance Capacity",Just one chapter "Strengthen the Governance Governance Capability",It is pointed out that the "Internet+grassroots governance" action is needed,Improve the township (street)、Village (community) geographical information and other basic data,Co -construction of a national grass -roots governance database,Promote the sharing of data resource sharing of grassroots governance。but,Many cities still lack "counting wisdom concepts",Traditional data collection year after year、Day after day,Leading method、Repeat jobs; some cities are keen on "grid governance",A large amount of data is collected and lying in the background to become a "dead data"; although some cities have built big data platforms,Still "will not use、Not useful ",Once the risk occurs,Discard the data without,Passionate to use "sports governance" and "excessive governance" to table skills、Brush Sensing Sensing。

The second is the problem of the data structure。Big data should really serve the risk prevention and control of the major cities,It must be structured,instead of scattered。Current,Although some of the major cities have data,But the data is not big enough,bet365 Play online games Disposal distributed in different institutions、Industry,No unified synthesis of a large data platform,It is difficult to serve risk prevention and control。This is why big data is only used in different links for different types of risks,instead of the whole process and the whole type is applied。

Look at it in reality,The application of big data in risk prevention and control is a areas that are more concentrated in risk prevention and control is "the response to social security incidents",The reason is,Special cities can collect structured data of synthetic social security categories,This structured data can more accurately analyze social security、Grasp。other,Big data algorithm for structured data is more mature,The reason why some cities in the eastern part of my country can "accurately and not disturb the people",It lies in the creation of a data associated platform,Drive all departments to share and use data on the same platform,to ensure that the data is turned on、Easy to dig data potential、Application in risk prevention and control。

The third is the problem of governance structure。During the risk prevention and control process of special cities,The "adaptation gap" problem of existing governance structure and big data,is the "incompatibility" of administrative power and data power。2021 Zhengzhou's "7 · 20" Extraordinary Restaurant,Meteorological department continuously issued heavy rain red warning signals、"Metro Line 4 into Water Curtain Cave" and other topics to appear on the Internet hot search,But the staff on the front line cannot take the necessary measures to take the interruption,This cannot be simply blame the staff’s "loss"Bet365 lotto review ,More inadequate connection between the entire system and big data,Especially the lack of necessary authorization between "big data warning and disposal"、docking,As a result,I don’t know how to decide。

  traffic thinking and big data governance

First,Government of the Grand Cities must be good at management and application of "traffic",With the concept of big data governance。As described above,Special cities itself is a huge traffic city,Facing a huge amount of element flow every moment,These elements are high -speed flowing and re -combining these elements,It is easy to generate various risks。Under big data technical conditions,The huge urban traffic can be collected、Storage、operation and visualization,Applicated to urban daily management and risk prevention and control。Grand City Government,We must have the consciousness of applying big data to urban governance,Good at updating the concept of governance,Through modern technology perception and analysis of various flows,Activation of existing data,Courage to apply big data to the practice of urban governance。

Second,Government of the Grand Cities must master the global "traffic",Construction structured big data。Various traffic data within the city is distributed in different fields、Different industries,Master by different departments,Even no department control。The phenomenon of "information islands", "information chimney" and "information blind zone" exist,It is difficult to get through all kinds of data platforms,Non -structured traffic data is full of urban space。This is the case,Once the risk comes,Big data cannot perform complete data perception,Can't bet365 live casino games perform valid data operations,No help to risk prevention and control。Therefore,Government of the Grand Cities must crack data connectivity in time,Building a platform for data sharing,Intelligent construction of data、Data potential,Provide data call、Data analysis and data use and other convenient services,to help risk prevention and control。

again,Government of the Grand Cities must actively accommodate and adapt to "traffic",Perfect the governance structure。Various types of traffic are both physical foundations of mega cities,It is the source of big data perception and integration。Big data based on huge traffic perception,It is a neutral technology,What is the effect of its risk prevention and control in megacities,Depending on how urban managers apply。Since the big city has faced huge traffic、more or less introduced big data technology,So,Governance structure and mechanism must accept and accommodate big data technology,Use the technology to drive the structure of the organizational structure。This means that big data is not in a field、A link application,It's not the responsibility of a certain department,Instead of being overall by the city government、A sucking in the whole process,The entire organizational system should use the big data with full、With foot、Work; this also means,Government of the Great Cities must be based on the characteristics of big data,Employment to urban governance、Decision makers in all aspects of risk prevention and control、frontline workers,Clarify the right to apply big data to respond to risks,To avoid problems such as "hanging without use" big data。

(This article is a major topic of "Modernization of Traffic City and Governance Bet365 app download Capability" in Shenzhen in Shenzhen Construction of Socialism with Chinese Characteristics)

(The author is a researcher at the China Government Development Research Center of Nankai University)

Editor in charge: Changchang
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