1st International Workshop on Utilizing Transit Smart Card Data for Service Planning
Collecting fares through “smart cards” is becoming standard in most advanced public transport
networks of major cities around the world. Using such cards has advantages for users as well as
operators. Whereas for travellers smartcards are mainly increasing convenience, operators value in
particular the reduced money handling fees. Smartcards further make it easier to integrate the fare
systems of several operators within a city and to split the revenues. The electronic tickets also make
it easier to create complex fare systems (time and space differentiated prices) and to give incentives
to frequent or irregular travellers.
Less utilised though appear to be the behavioural data collected through smartcard data. The
records, even if anonymous, allow for a much better understanding of passengers’ travel behaviour
as various literature has begun to demonstrate. This information can be used for better service
planning.
Workshop Objectives
1.
2.
3.
4.
To create a network of researchers analysing smart card data for further continuous exchange.
To exchange experience on how public transport smart card data can be best analysed with the
final goal to establish some “best practice” guidelines.
To better understand in how far the data have been already utilised in practice.
To include public transport operators in the on-going (academic) discussion to better
understand how they see the need and potential for smart card data analysis.
Workshop Details
The workshop will be held on 2+3 July 2014 at the Nagaragawa Convention centre, in Gifu, Japan.
For details on the venue, see: http://en.wikipedia.org/wiki/Nagaragawa_Convention_Center.
Below program is a draft based on conversations between researchers involved in the topic. We
welcome additional participants and their contribution. If you are interested please contact
smartcard@trans.kuciv.kyoto-u.ac.jp
We will distribute further information, including registration deadlines, at the beginning of April.
With best regards,
Fumitaka Kurauchi (Gifu University), the ITS group at Kyoto University (Nobuhiro Uno, Jan-Dirk
Schmöcker, Toshiyuki Nakamura, Hiroki Yamazaki) and Hiroshi Shimamoto (Miyazaki University)
Draft Program
Day 1, 2 July 2014
Possible moderator and speakers (all confirmed)
10.30
Registration
11.00 - 12.00
Welcome, overview and
purpose of this workshop
Welcome,
overview/keynote
presentation(s)
12.00 - 13.00
13.00 - 15.00
Behavio
ur
15.30 - 17.30
From 18.00
Analysis of
network wide
activity patterns
(OD patterns,
temporal
aggregate
demand
patterns)
Fumitaka Kurauchi (Gifu University)
Nigel Wilson (MIT): “Using Smart card data and
complementary data to improve the performance of
public transport systems: A framework and
applications”
Lunch (light lunch, “bento”)
Marcela Munizaga (Universidad de Chile), Seungjae
Lee (University of Seoul), Hiroaki Nishiuchi
(Nagaoka), Asakura/Kusakabe (Tokyo Tech)
Analysis of
Martin Trepanier (Montreal), Hiroshi Shimamoto
individual
(Miyazaki), Toshiyuki Nakamura (Kyoto)
behavioural
characteristics
(route choice,
characteristics
of users )
Workshop dinner (restaurant, within walking distance)
Day 2, 3 July 2014
9.00 - 10.30
10.45 - 12.15
Method
ology
12.30 - 13.30
13.45 - 15.15
Data cleaning,
inferring missing
data
Data fusion with
other data
sources
Evaluation
Mark Hickman (U of Queensland), Wai Yuen Szeto /
Yanfang Li ((Hong Kong U / Sichuan, China)
Martin Trepanier (Montreal), Zhang Linan (Tongji),
Marcela Munizaga (Universidad de Chile)
Lunch (light lunch, “bento”)
Niels van Oort (Delft), Zhang Dong (Tongji), Mark
Hickman (U of Queensland),
Applicat
ion
15.30 - 17.00
17.00 - 17.30
From 18.00
Implementation Alex Erath (ETH/Future Cities Singapore), Pieter
examples
Fourie (ETH/Future Cities Singapore), Shizuoka Rail,
Wrap-up: final discussion, suggestions
Post-workshop event: cormorant fishing with dinner (not included in workshop
costs), http://www.gifucvb.or.jp/en/01_sightseeing/01_01.html