地理与地理信息科学

2020, v.36(01) 87-92

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基于Space-P复杂网络的南京市轨道交通换乘可达性研究
Research on Accessibility of Nanjing Metro Based on Space-P Complex Network

王宇环;靳诚;杜家禛;
WANG Yu-huan;JIN Cheng;DU Jia-zhen;School of Geography Science,Nanjing Normal University;

摘要(Abstract):

针对轨道交通特殊的站点换乘方式,该文结合Space-P复杂网络模型与Python语言,借助ArcGIS网络分析模块设计出一种换乘可达性算法,并对南京市现状和二期建设轨道进行实证研究。结果表明:Space-P网络可以弥补ArcGIS网络分析无法添加站点换乘时间的不足;南京现状轨道、二期轨道的平均可达性值分别为36.99 min、34.81 min,二期轨道的建设使得站点30 min可达性圈层扩大,且向东西方向延伸;现状轨道中,1号线可达性最好,S8号线最差,二期轨道的建设整体上提高了线网的可达性;现状轨道、二期轨道的站点平均换乘指数分别为1.0428、1.3114,二期新增站点为乘客出行提供了更多的换乘选择。
As an important public travel mode to alleviate traffic pressure,metro has become an indispensable travel choice in people's daily life.Aiming at the special site transfer mode of metro,this paper designs a transfer accessibility algorithm based on ArcGIS network analysis module combining with Space-P complex network model and Python language,and takes the current and second phase of Nanjing metro for case study.The results show that the Space-P network can make up for the inability of ArcGIS network analysis to add site transfer time;the average accessibility time of the current metro is 36.99 min,and the second phase metro is 34.81 min;the construction of the second phase metro makes the 30-minute circle expand and extend to the east-west direction;in the current metro,the accessibility of Line 1 is the best,and the line of S8 is the worst,the construction of the second phase metro improves the accessibility of the lines as a whole;the average transfer index of the current metro stations is 1.0428,and the average transfer index of the second phase metro stations is 1.3114,which indicates that the new stations in the second phase metro provide more transfer options for passengers.

关键词(KeyWords): 轨道交通;Space-P;网络分析;换乘可达性;南京市
metro;Space-P;network analysis;transfer accessibility;Nanjing City

Abstract:

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基金项目(Foundation): 国家自然科学基金项目(41571134、41871131)

作者(Author): 王宇环;靳诚;杜家禛;
WANG Yu-huan;JIN Cheng;DU Jia-zhen;School of Geography Science,Nanjing Normal University;

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