Estimation of behavioural change of railway passengers using smart card data
Estimation of behavioural change of railway passengers using smart card data
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DOI：
10.1007/s12469-011-0050-0
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发表时间：
2012-01
期刊：
影响因子：
2.6
通讯作者：
Y. Asakura;T. Iryo;Yoshiki Nakajima;Takahiko Kusakabe
中科院分区：
文献类型：
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作者：
Y. Asakura;T. Iryo;Yoshiki Nakajima;Takahiko Kusakabe
智能卡系统在全球范围内越来越受欢迎，不仅用于购买一般商品和服务，而且用于支付公共交通费用。当乘客使用公共交通智能卡时，他们通过检票口的确切时间被记录在智能卡系统数据库中。然而，这些数据尚未在运输研究领域得到充分研究。本文的目的是通过使用智能卡数据来估计铁路乘客的行为，并评估列车运营的影响。特别是，分析的重点是比较乘客的出行选择行为前后的铁路公司改变列车时刻表，本文描述了如何在一个小的离散时间间隔的入口和出口检票口的单个乘客的通过时间的聚合。出发，旅行和到达时间分布的分析表明，乘客顺利地调整他们的旅行行为，以新的列车时刻表。通过分析始发站和目的地站检票口的通过时间，并结合列车时刻表，可以确定每个旅客可能乘坐的列车。本文还提出了一种方法来分配乘客的组合列车之间的始发站和目的地站。使用实际的智能卡数据的方法进行检查。
Smart card systems are becoming increasingly popular on a global scale, not just for purchasing general goods and services, but also for paying public transport fares. When a traveller uses a public transport smart card, the exact time of their passage through ticket gates are recorded in the smart card system database. However, these data have not yet been sufficiently studied in the field of transport research. The aims of this paper are to estimate the behaviour of railway passengers by using smart card data and to evaluate the effects of train operations. In particular, the analysis is focused on the comparison of passengers’ travel choice behaviour before and after the railway company altered the train timetable.This paper describes how the passing times of individual passengers at entrance and exit ticket gates are aggregated for a small discrete time interval. Analysis of the departure, travel, and arrival time distributions shows that passengers smoothly adjusted their travel behaviour to the new train timetable. Analysis of the passing times at origin and destination station ticket gates in combination with the train timetable makes it possible to identify which train each traveller was likely to have boarded. This paper also proposes a method to assign a passenger to a combination of trains between an origin and destination stations. The method is examined using actual smart card data.