基于AI的地铁站点区地下步行系统可达性研究

城市地铁站点影响区地下步行系统可以带动站点辐射区域的发展,为其增加人群的聚集度,它的可达性对提高城市的发展具有重要意义。以四川成都春熙路地铁站站点为研究对象,通过Python工具获取各条交通线路的站点等地理位置信息,通过相关搜索引擎搜索与整理相关信息,以GIS为主、AutoCAD工具为辅建立该城市轨道交通站点影响区地下步行系统相关数据库和“时间—距离”模型;在基于3类主要出行方式的条件下,运用“层次分析法+GIS可视化”呈现该站点影响区地下步行网络的可达性作用机制,提出“地铁—公交—自主”出行的合理分配模式,并在此基础上为地下步行网络设计规律提供建议,为其他站点地下步行网络系统提供一定的参考。

Study on the Accessibility of Underground Pedestrian System in Metro Station Area Based on AI

The underground pedestrian system in the influence area of urban subway station can promote the development of the radiation area of the station and increase the aggregation degree of the crowd. Its accessibility is of great significance to improve the development of the city. Taking Chunxi Road subway station in Chengdu, Sichuan Province as the research object, and using part of AI basic technology as the basis of research and analysis. Get the geographic location information of each traffic line through Python tools, search and sort out the relevant information through relevant search engines, and establish the relevant database and “time-distance” model of the underground pedestrian system in the influential area of the urban railway station with GIS as the main tool and AutoCAD as the auxiliary tool; under the conditions of three main types of travel modes, use “AHP + GIS visualization” to present the accessibility mechanism of the underground pedestrian network in the influential area of the station, put forward the reasonable distribution mode under the mode of “Subway-bus-Autonomy” travel, and on this basis, provide suggestions for the design law of the underground pedestrian network, and provide certain reference for the development of the underground pedestrian network system of other stations and the development of underground space.