Analysis On Influencing Factors Of Urban Integration Development Level Of High-speed Railway Stations

With the continuous improvement of China’s urbanization level,the problems of"big city disease"such as population congestion and traffic congestion continue to emerge.The demand for high speed rail stations in big cities is no longer a single traffic distribution space,but a comprehensive region with vitality that can alleviate the problem of"big city disease"."Station-city integration"mode is to take high-speed railway hub stations as the core,through reasonable land planning,industrial spatial layout,etc.,the station’s transportation hub function and part of the city function integration,to achieve the station and the surrounding area integrated development,so as to effectively improve the"urban disease".Therefore,the research question of this paper is:what is the development level of urban integration of high-speed railway stations?What are the factors influencing the level of station city integration development?Firstly,61 high-speed railway stations in China are selected as the research samples.These high-speed railway stations are all from cities with an urban population of more than 1 million.The nine influencing factors are GDP,urban population,the number of high-speed railway tracks,the average number of stops per day,the area of high-speed railway station housing,the time of operation,the space distance between stations and cities,the time distance between stations and cities,and the area of undevelopable land in the station area.The development level of station city integration is calculated by entropy method.The urban function indexes within 2 kilometers around the high-speed railway station are as follows:The number of restaurants,hotels,retail,enterprises,housing,education,hospitals,leisure and entertainment,and financial institutions.Based on Kmeans clustering method,61 high-speed railway stations are divided into 5 categories to study the level of integrated development of different types of high-speed railway stations and cities.The empirical results show that the final goodness of fit R~2of multiple linear regression is 0.66,while the R~2of Lasso regression is 0.68,and the fitting effect is better.In OLS model and Lasso model,the positive or negative effects of independent variables on the development level of station city integration are consistent with expectations,and the relationship between dependent variables and independent variables can be well explained.The results of multiple linear regression show that the main factors affecting the development level of high-speed railway station city integration are the time distance between the station city,the number of branches and the gross regional product.According to the results of Lasso regression,the factors that significantly affect the integrated development level of stations and cities are as follows:gross regional product,undevelopable land area,time distance between stations and cities,station housing area,number of branches and average daily train number.The total regional product,station area,number of tracks and average daily train number have a significant positive impact on the integrated development level of high-speed railway stations,while the time distance between stations and cities and the area of undevelopable land will bring obstacles.Based on the empirical results,three suggestions are put forward for the integrated development of high-speed railway stations in China.The site selection of the stations should be based on the economic level of the city,the number of population,the area of undevelopable land in the station area and other factors.High-capacity vehicles should be added to high-speed rail hubs in big cities to speed up the efficiency of access between high-speed rail stations and downtown areas.The station scale should match with the city’s economy and population.There are 6 figures,17 tables and 50 references in this paper.