Analyzing long-term travel behaviour: A comparison of smart card data and graphical usage patterns

被引：5

作者：

Li, Yeun-Touh ^{[1
]}

Iwamoto, Takenori ^{[2
]}

Schmocker, Jan-Dirk ^{[1
]}

Nakamura, Toshiyuki ^{[3
]}

Uno, Nobuhiro ^{[4
]}

机构：

[1] Kyoto Univ, Grad Sch Engn, Dept Urban Management, Kyoto, Japan

[2] Shizuoka Railway Co Ltd, Aoi Ku, Shizuoka, Japan

[3] Nagoya Univ, Inst Innovat Future Soc, Nagoya, Aichi, Japan

[4] Kyoto Univ, Grad Sch Engn, Dept Civil & Earth Resources Engn, Kyoto, Japan

来源：

TRANSPORT SURVEY METHODS IN THE ERA OF BIG DATA: FACING THE CHALLENGES | 2018年 / 32卷

关键词：

Long-term Travel Behaviour; Smart Card Data; Usage Pattern;

D O I：

10.1016/j.trpro.2018.10.005

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

This study attempted to validate the trend of long-term usage of public transport based on the information of the smart card holder and "long-term graphical usage patterns" that are obtained via a questionnaire survey. The study was conducted in Shizuoka prefecture, Japan, where the smart card "LuLuCa" was introduced in 2006. In this paper, the monthly usage (revealed usage) of smart card data was traced back from October 2011 to February 2017; on the other side, the usage survey was distributed in early 2017 to the targeting users (monitors) to obtain their "stated usage" over time. We found that the, from the smart card data, observed long-term usage dynamics are fairly in line with their chosen pattern, though biased to more recent observations. Further, regression analysis of individual patterns suggests the trend of "actual usage" can be explained with the chosen pattern (stated usage). This suggests that obtaining pattern information can be simple way for analysts to classify users and potentially predict their future demand. (C) 2018 The Authors. Published by Elsevier Ltd.

引用

页码：34 / 43

页数：10

共 11 条

[1] Two-year worth of smart card transaction data - extracting longitudinal observations for the understanding of travel behaviour [J].