Measuring transit use variability with smart-card data

被引：188

作者：

Morency, Catherine

Trepanier, Martin

Agard, Bruno

机构：

[1] Ecole Polytech, Grp Polygist, Montreal, PQ H3C 3A7, Canada

[2] Ecole Polytech, Grp MADITUC, Montreal, PQ H3C 3A7, Canada

[3] Ecole Polytech, CIRRELT, Montreal, PQ H3C 3A7, Canada

来源：

TRANSPORT POLICY | 2007年 / 14卷 / 03期

基金：

加拿大自然科学与工程研究理事会;

关键词：

smart cards; transit system; travel behaviour; data mining; variability;

D O I：

10.1016/j.tranpol.2007.01.001

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The potential of smart-card data for measuring the variability of urban public transit network use is the focus of this paper. Data collected during 277 consecutive days of travel on a Canadian transit network are processed for this purpose. The organization of data using an object-oriented approach is discussed. Then, measures of spatial and temporal variability of transit use for various types of card are defined and estimated using the data sets presented. Data mining techniques are also used to identify transit use cycles and homogenous days and weeks of travel among card segments and at various times of the year. (C) 2007 Elsevier Ltd. All rights reserved.

引用

页码：193 / 203

页数：11

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