Since the 19th CPC National Congress,General Secretary Xi has emphasized that the development of megacities should make more use of the new generation of information technology,and improve the level of scientific,refined and intelligent management of cities.In the report of the 20th CPC National Congress,it is once again proposed to build Digital China,improve the level of urban governance,and realize the digital transformation of cities.This paper takes the"Deciduous Leaf Index"independently developed by Shanghai Jing'an Urban Development(Group)Co.,Ltd.as an example.Relying on machine learning algorithm technology,the paper studies the influencing factors of roadside tree shedding.By building a prediction model,the paper accurately predicts the information of deciduous leaves,so as to make the road cleaning scheduling and deployment more scientific,and realize the transformation of management mode to data management,quantitative management and refined management.
关键词
数字中国/城市治理/数字化转型/行道树/落叶指数
Key words
Digital China/urban governance/digital transformation/roadside tree/defoliation index
维普
万方数据