Staff Introduction
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一藤 裕 Yu ICHIFUJI
- Emailichifujinagasaki-u.ac.jp- Position / Degree Institute of Integrated Science and Technology, Associate Professor
School of Information and Data Sciences, Associate Professor
Graduate School of Engineering, Associate Professor
Doctor (Information Science)- Specialized Field Data mining, Tourism Policy, Tourism Bigdata- External Links researchmap
CV
| Apr.1999 – Mar.2003 | Tohoku University, Bachelor of Engineering |
| Apr.2003 – Mar.2005 | Tohoku University, Graduate School of Information Sciences, Master of Information Sciences |
| Apr.2005 – Mar.2010 | Tohoku University, Graduate School of Information Science, Doctor of Information Sciences |
| Apr.2010 – Mar.2016 | Research Organization of Information and Systems, Transdisciplinary Research Integration Center, Project Researcher |
| Apr.2016 – current | Nagasaki University, Center for Information and Communication Technology, Associate Professor |
| Apr.2018 – current | Research Organization of Information and Systems, Joint Support-Center for Data Science Research, Visiting Associate Professor |
| Apr.2020 | School of Information and Data Sciences, Nagasaki University, Associate Professor |
Research Activities
Estimating tourist trends based on tourism bigdata
Research Topics of Interest：
1. Prediction model for sales of accommodation plans / occupancy rate estimation based on Web reservation data.
2. Prediction of Tourisim and Visitors Distribution based on Wi-Fi access log.
3. Construction of a social infrastructure that facilitates the use of tourism big data
Since we don’t know if the data published on the Web is reliable, we will establish a method for assessing reliability and build a predictive model based on that data.(occupancy rate of accommodation facilities and plans sell-out) . In addition, using the Wi-Fi access log and user attribution, quantitatively evaluate what kind of user is attracted to what factor, and base data for conducting customer forecasting and economic effect evaluation create.
Infrastructure of Collecting and integrating data related to tourism and use it to attract visitors and predict the effects of tourism.
Educational Activities
Class
School of Information and Data Sciences：First-year Seminar, Social and Tourism Informatics I, Research Project
Graduate School of Engineering：Advanced lecture of BigData analysis