"Since this year, we have handled 30,000 illegal incidents and 1,100 general procedural cases, especially through digital empowerment, which has greatly improved the efficiency of handling cases."A few days ago, the Municipal Comprehensive Administrative Law Enforcement Bureau analyzed, studied and judged the improvement of the city appearance in the construction of a national civilized model city, and released the law enforcement data updated on the smart law enforcement platform. With the new path of "smart governance" becoming wider and wider, Lishui's urban management has become more meticulous and intelligent.
In recent years, with the continuous deepening of urban construction process, some problems that were easily ignored in the management of city appearance have also emerged. Urban chaos, such as the random parking of shared bicycles and the "ten chaos" phenomenon, has become a persistent disease in urban management and needs to be solved urgently.
In order to cope with the increasingly complex urban management situation, since this year, in addition to increasing the "rule by man" measures such as the sinking of all government officials and all law enforcement officers need to get to the streets, the Municipal Bureau of Comprehensive Administrative Law Enforcement has also focused on "smart governance".
"At the end of last year, we launched the intelligent application of comprehensive law enforcement, which has realized the closed-loop governance of handling one thing for urban management events and one thing for comprehensive law enforcement cases. From the current effect, the application has greatly improved the efficiency of law enforcement."According to the relevant person in charge of the Municipal Bureau of Comprehensive Administrative Law Enforcement, as a project integrating comprehensive law enforcement and urban management at the market and county levels, the intelligent application of comprehensive law enforcement has broken down into four Level 1 tasks and 37 minimum tasks, including dog management, shared bicycle management, economic services at street stalls, and the prevention and control of illegal buildings. With a clear law enforcement process and targeted assessment of law enforcement results, the urban chaos that had never been stopped has been effectively solved.
Taking the management of shared bicycles as an example, the number of shared bicycles in the urban area were reduced to 18,000 and all bikes were licensed after the implementation of the "three-step walk" of "clearing the resources, reducing the quantity and licensing" in 2021.At the same time, through the introduction of four enterprises with AI recognition parking technology, the problem of disorderly parking of shared bicycles has been largely solved.
"Now, through the intelligent application of comprehensive law enforcement, once the law enforcement personnel find or receive the citizen's feedback on the phenomenon of disorderly parking of shared bicycles during the patrol, we can immediately notify the bike sharing enterprises to clear and transport the disorderly parking vehicles in a timely manner." Fu Guobin, the data commissioner of the Municipal Bureau of Comprehensive Administration and Law Enforcement, introduced that with the construction of five urban management scenarios in our city for the prevention and control of illegal construction, management of vendors, management of legal entities, management of dogs and management of shared bicycles, the efficiency of urban management has been greatly improved, and the satisfaction of the masses has also been improved.
It is reported that, in order to further promote the creation of a national model civilized city, the Municipal Bureau of Comprehensive Administrative Law Enforcement will continue to carry out a "carpet" investigation and rectification of the main and secondary arterial roads in the city by deepening the "grid+big data" precise governance model, so as to find, standardize, rectify and eliminate one place, and strive not to leave a dead corner, miss a weak point, or miss a blind spot.