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 physical network is developed, degree, closeness betweenness selected as centrality measures. Hourly smart-card data used for representing passenger flows. For classification, principal component analysis k-means clustering utilized. The findings suggest that usually move opposite directions, morning peak-hour boardings completely uncorrelated with centrality, can be classified ‘central destinations’, ‘averagely central origins’, ‘underutilized peripheral stations’.