Japan Geoscience Union Meeting 2016

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Oral

Symbol M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS07] geopark

Wed. May 25, 2016 10:45 AM - 11:45 AM 101A (1F)

Convener:*Takayuki Ogata(Faculty of Education, University of the Ryukyus), Takeyuki Ueki(Faculty of Risk and Crisis Management, Chiba Institute of Science), Tetsuya Waragai(Graduate School of Science and Engineering, Nihon University), Yoshihiro Hiramatsu(Faculty of Natural System, Institute of Science and Engineering, Kanazawa University), Takayuki Arima(Department of Tourism Management, Faculty of Economics, Teikyo University), Marekazu Ohno(Unzen Volcanic Area Geopark Promotion Office), Noritaka Matsubara(Graduate School of Regional Resource Management, University of Hyogo), Chair:Tetsuya Waragai(Graduate School of Science and Engineering, Nihon University)

10:45 AM - 11:00 AM

[MIS07-07] Recognition of Geoparks Shown in Data Retrievals

*Takashi Nakakushi1,2, Tomohiko Ozawa3, Naoki Nozu1,4 (1.Faculty of Tourism, Wakayama University, 2.Institute for Education on Space, Wakayama University, 3.Misato Observatory, 4.NAVITIME JAPAN Co.,Ltd.)

Keywords:geopark, geotourism, big data

A geopark has a character of “business.” In particular, sustainable development and promotion through geotourisms is important. Thus, objective analysis of the business is needed. Full-fledged marketing researches by research companies has been rarely seen in the record and there are only a few studies by researchers with small-scale questionnaire surveys and interviews.
Therefore, we are aiming to clarify how geoparks are recognized by using the objective data. In this paper, we try to visualize the degree and the time variation of the spread of geoparks by using the Twitter advanced search and a newspaper article database. In addition, the initial results of the analysis using the traffic big data for the movement of people associated with geoparks will be also reported. We also want to consider what context geoparks are mentioned in, by corpus analysis and morphological analysis of newspaper articles.