| id |
caadria2017_070 |
| authors |
Chen, Nai Chun, Xie, Jenny, Tinn, Phil, Alonso, Luis, Nagakura, Takehiko and Larson, Kent |
| year |
2017 |
| title |
Data Mining Tourism Patterns - Call Detail Records as Complementary Tools for Urban Decision Making |
| doi |
https://doi.org/10.52842/conf.caadria.2017.685
|
| source |
P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 685-694 |
| summary |
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 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. |
| keywords |
Machine Learning; Call Detail Record; Original-Destination Matrix; Urban Design Tool |
| series |
CAADRIA |
| email |
naichun@mit.edu |
| full text |
 file.pdf (2,413,719 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:55 |
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