Public transit influence of healthy cities medical service fairness

This paper chose the number of public health personnel per 10, 000 population as the proxy index of public medical resources in healthy cities. It designed and selected the explanatory variable index of the public transport system from the supply and demand of public transportation services for a healthy city and the demand for public transportation services. The weighted Gini coefficient of urban public services was designed to measure the distribution gap between wealth or income distribution of a city and full equality. The various multiple regression models were analyzed and sorted out. On this basis, taking Nanjing as an example, through the ordinary linear regression analysis, the selected public transport indicators had a high linear correlation. Furthermore, through the comparison of ridge regression analysis, LASSO regression analysis and elastic net analysis, the elastic net model was selected according to the EBIC criterion. Then the regression equation between weighted Gini coefficient and public transport of urban medical public service level in Nanjing was constructed. The quantitative analysis of the correlation and quantitative change law between the relevant indicators of public transport and the fairness of urban medical public services had been done. The results show that it is appropriate to introduce the Gini coefficient, a quantitative indicator of urban income equity, into the evaluation of urban public transportation. The elastic network regression model can better describe the relationship between public transportation sharing rate indicators on the equity of urban public services and the positive indicators affecting the fairness of urban medical public service in Nanjing are bus kilometer sharing rate and bus motorized sharing rate. © 2023, Central South University Press. All rights reserved.