Research On The Relationship Between Social Economic Factors And Traffic Congestion Based On Beijing

Relieving urban traffic congestion has become a governance challenge for many cities.The study of traffic congestion plays an important role in the prevention of traffic congestion,and holds important research value in the field of traffic research.By discussing the relationship between society,economy,urban development,and related management policies and traffic congestion,the article establishes six socio-economic quantifiable indicators as representative research variables for the discussion of the relationship between socio-economic factors and traffic congestion statistics,which are the GDP,total resident population,vehicle ownership,urban road mileage,bus operation mileage,and track operation mileage.At the same time,the traffic congestion index published and implemented by Beijing is used as the basis for characterizing the level of traffic congestion.Secondly,through Pearson's correlation analysis,there is a correlation between the six socio-economic indicators and the traffic congestion index.Finally,the article establishes two analysis models,namely the multiple linear regression model and the BP neural network model.Through the comparative study of the two models,the statistical relationship between the socio-economic influencing factors and traffic congestion is discovered,revealing the influence of socio-economic factors on the traffic congestion index.Explaining ability.The article draws the following conclusions.The two analysis models built in the article are effective.Among them,the adjusted R-square value of the multiple linear regression analysis model is 0.931,the significance probability P value is close to 0 to satisfy the significance test,and the neural network residuals are scattered.The graph presents a random distribution.Secondly,according to the comparative analysis of model goodness,the goodness of fit between the multiple linear regression model and the BP neural network model is above 0.9,indicating that under the two analysis models,the social and economic influencing factors can explain the traffic congestion index up to 90% Above,the statistical relationship between socio-economic development and traffic congestion is determined.In addition,based on the results of the analysis of the importance of various social and economic factors based on the model built in this article,and the actual congestion management,this article makes relevant reflections and suggestions on urban traffic congestion management from the perspective of public transportation system,urban development,and total population.