希腊雅典每日地铁客流量与车站中心性的关系如何?

Athanasios Kopsidas, K. Kepaptsoglou
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引用次数: 0

摘要

在本研究中,探讨了希腊雅典地铁系统车站中心性与车站客流量之间的日内相关性。建立了物理地铁网络的非加权l空间表示,并选择程度、紧密度和间隔度作为车站中心性度量。每小时的智能卡数据被用来表示客流。对于站点分类,使用主成分分析和k-means聚类。研究结果表明,中心性和客流量通常是相反的方向,早高峰上车人数与车站中心性完全不相关,地铁站可以分为“中心目的地”、“平均中心起点”和“未充分利用的外围站”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How is Intraday Metro Ridership related to Station Centrality in Athens, Greece?
In this study, intraday correlations between station centralities and ridership at stations of the Athens metro system in Greece are explored. An unweighted L-space representation of the physical metro network is developed, and degree, closeness and betweenness are selected as station centrality measures. Hourly smart-card data are used for representing passenger flows. For station classification, principal component analysis and k-means clustering are utilized. The findings suggest that centrality and ridership usually move in opposite directions, morning peak-hour boardings are completely uncorrelated with station centrality, and metro stations can be classified as ‘central destinations’, ‘averagely central origins’, and ‘underutilized peripheral stations’.
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