Author Bios (50 Words)

1.Chieh-Ping Wu, Director of Planning Division, Taiwan Tourism Bureau. Apart from tourism marketing, analysis and research of tourism market, she also works for the development and implementation of tourism planning, including reviewing, collating and codifying tourism regulations.

2.Shao-Hsun Wang, Section Chief of Planning Division, Taiwan Tourism Bureau. She mainly works for the tourism marketing research, collecting and analyzing tourists trend, and using ICT to improve methdology on tourism statistics.

3.Hsuan Chiu, Sr. Data Engineer of Data Team, Vpon Inc. Hsuan has 10 years of experience as a software developer in dealing with various back-end systems. In Vpon, she works for developing DMP architecture and productionizing machine learning models.

4. Pei-Xun Wang, Sr. Data Scientist of Data Team, Vpon Inc. Pei-Xun has served as a senior machine learning domain expert in Vpon. She is an active researcher in urban computing and machine learning, and her works has been integrated into Vpon DSP and DMP.

5. Chia-Hu Chang, Chief Data Officer, Vpon Inc. Chia-Hu has a Ph.D. in CSIE from NTU with over 10 years in leading edge of developing applied AI in industry. In Vpon, he leads the team to support all data-related business and guide the strategic direction. He received the Best Paper Award from the IEEE Transactions on Education in 2016.

6. Pei-Chi Sun, Business Analyst of Data Team, Vpon Inc. Pei-Chi has intensive experiences in transforming data into business insight and assisting customers in making business decisions. In Vpon, she works for diverse projects including audience insight profiling, consumption analysis and travelers’ intent analysis.

7. Wen-Qian Chen, Data Analyst Manager of Data Team, Vpon Inc. Wen-Qian has over 10 years of experience as a data analyst in big data analysis and data science. In Vpon, he works for developing various go-to-market data products. He leads analyst team to support headquarter and each branch region requirements in business side.

8. Hsiao-Wei Sung, Staff Data Analyst of Data Team, Vpon Inc. Hsiao-Wei has over 10 years experience in Statistic / Research / Data Analysis field. In Vpon, she helps to develops data visualization projects including audience insight, cross-border travel analysis.

9. Hsiao-Hui Chen, Analytic Support Manager of Data Team, Vpon Inc. Hsiao-Hui has rich experiences in supporting Vpon advertising business. She is proficient in providing audience targeting strategies, analyzing and tracking advertising effectiveness in customer websites, developing massive automation tools for speeding up ad targeting procedures.

Abstract (150 Words)

This work presents a location-based data analysis framework for profiling visitors structures. In terms of recreational area management, understanding visitors’ structure and popularity is important. Traditionally, visitors monitoring with automatic counting devices has drawbacks of inaccurate visitors counting. In this work, compared to automatic counting devices, we use Wi-Fi tracking as the main method to count visitors, which provides a fairly precise picture of visitor structures. Moreover, we deliver rich analytic functions in this framework and we present the functionality with visitor data collected from Guanyinshan Visitor Center. This framework not only standardizes visitor counting process but also facilitates a profound analysis of visitor structures.

Key Words:

Guanyinshan Visitor Center, Wi-Fi tracking

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Location-based Data Analysis of Visitor Structure for Recreational Area Management

This work presents a location-based data analysis framework for profiling visitors structures. In terms of recreational area management, understanding visitors’ structure and popularity is important. Traditionally, visitors monitoring with automatic counting devices has drawbacks of inaccurate visitors counting. In this work, compared to automatic counting devices, we use Wi-Fi tracking as the main method to count visitors, which provides a fairly precise picture of visitor structures. Moreover, we deliver rich analytic functions in this framework and we present the functionality with visitor data collected from Guanyinshan Visitor Center. This framework not only standardizes visitor counting process but also facilitates a profound analysis of visitor structures.

Key Words:

Guanyinshan Visitor Center, Wi-Fi tracking