Article

DATA MINING TOURISM PATTERNS

Copyright

NAI CHUN CHEN, JENNY XIE, PHIL TINN, LUIS ALONSO, TAKEHIKO NAGAKURA and KENT LARSON

NAI CHUN CHEN, JENNY XIE, PHIL TINN, LUIS ALONSO,
TAKEHIKO NAGAKURA and KENT LARSON

DATA MINING TOURISM PATTERNS

Call Detail Records as Complementary Tools for Urban Decision
Making

Authors:

Nai Chun Chen, Jenny Xie, Phil Tinn, Luis Alonso,
Takehiko Nagakura and Kent Larson

Abstract

In this study, we show how Call Detail Record (CDR) can be
used to better understand the travel patterns of visitors. We show how
Origin-Destination (OD) Interactive Maps can provide transportation information
through CDR. We then use an aggregation of CDR to show the
differences between the travel patterns of visitors from different countries
and of different lengths of stay. We also show that visitors move
differently during event periods and non-event periods, reflecting the importance
of real-time data available by CDR. From CDR, we can gain
more detailed and complete information about how tourists move compared
to traditional surveys, which can be used to aid smarter transportation
systems and urban resource planning.

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