Evaluation Of The Connection Between High-speed Railway Hub And Urban Transportation Network Based On Internet Open Data

With the continuous development of high-speed railway(HSR)technology in China,HSR plays an increasingly important role in intercity travel.In order to further improve the overall efficiency of HSR travel,the integrated passenger transport hub of high-speed railway(HSR hub),as an intercity travel endpoint,becomes more and more important for its efficient connection with the urban transport network.HSR hub is not only an important hub node connecting the city with the outside and active economy in the new era,but also has a prominent position in the urban comprehensive transportation system.This paper aims to systematically analyze the typical characteristics and problems in the integration of HSR hubs and urban transportation in provincial capitals of China.Combined with dynamic and static indexes and accessibility data,the transportation network system of large and small circles around HSR hubs is quantitatively studied.It has important theoretical guidance and practical significance for improving the connection between hub and urban transportation network and enhancing the integrated travel experience of passengers.This paper relies on the key consulting and research projects of the Chinese Academy of Engineering "Research on the integrated development strategy of China’s railway stations and cities"(2020-XZ-14)and Jiangsu outstanding youth fund project(BK20200014).Firstly,the paper studies the distribution of built environment in different areas around the HSR hub,and determines the research scope of traffic network in small circles around the hub.Based on AMap API interface and Open Street Map online map,the method and process of acquiring POI data points,road congestion,travel planning data,road network geometry attributes and other dynamic and static traffic network data of large and small circles are introduced.Secondly,the paper establishes a dynamic and static index system to evaluate the traffic network in the small circle around the hub,and describes the distribution characteristics and agglomeration of traffic and functional business forms around the HSR hub by Ripley’s K function and kernel density analysis method;According to the static indicators,the connection level of regional traffic network in the surrounding small circle of 31 hubs is divided into three categories: high,medium and low by hierarchical clustering method.The average of the indexes of the highest type of hub was almost better than the other two types of hub;Combined with the traffic situation,the congestion difference of the small circle road network around the hub during the peak period is evaluated.Finally,aiming at the large circle traffic network between hubs and urban areas,the paper rasterizes urban areas,evaluates the static transfer accessibility of hubs and urban grids,and analyzes the directness and accessibility of each hub and its urban area through transfer coefficient and secondary transfer accessibility rate;article constructs the HSR hub and the city grid point between public transportation and car dynamic spatial and temporal accessibility network,the spatial and temporal accessibility differences of public transport and cars between different types of hubs and urban areas are comprehensively evaluated based on external factors such as city level,urban terrain and hub location,and the significant impact of external factors on the spatial and temporal accessibility of the two modes of transport was analyzed;Kmeans clustering is used to cluster the public transport and car accessibility of hubs.The results show that 31 hubs are divided into three categories: hubs with high public transport accessibility,hubs with high car accessibility and hubs with low public transport accessibility and car accessibility,and the classification type is closely related to the city level.