Crowding cost estimation with large scale smart card and vehicle location data

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• 作者：Daniel Hö ; rcher ; ^{d.horcher@imperial.ac.uk} ; Daniel J. Graham ; Richard J. Anderson
• 关键词：Public transport ; Crowding ; Revealed preference ; Smart card data ; AVL data
• 刊名：Transportation Research Part B: Methodological
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：95
• 期：Complete
• 页码：105-125
• 全文大小：2605 K
• 卷排序：95

文摘

Smart card passengers are assigned to trains recorded in automated data. Passenger-to-train assignment leads to a train-level pattern of crowding. Crowding costs can be estimated in a revealed preference route choice setting. Standing costs 26.5% of travel time, the crowding multiplier does not exceed 1.981.