Establishment of a Prediction Model by Studying Ramblers' Behavioral History

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K00311
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: University of Shizuoka
• Principal Investigator: Yuze Hiroaki 静岡県立大学, 経営情報学部, 教授 (30240162)
• Co-Investigator(Kenkyū-buntansha): 武藤 伸明 静岡県立大学, 経営情報学部, 教授 (40275102) ; 川原田 茜 京都教育大学, 教育学部, 講師 (70710953) ; 斉藤 和巳 静岡県立大学, 経営情報学部, 教授 (80379544) ; 大久保 あかね 日本大学短期大学部, その他部局等, 教授 (80434538) ; 渡邉 貴之 静岡県立大学, 経営情報学部, 准教授 (90326124) ; 井本 智明 静岡県立大学, 経営情報学部, 助教 (20749296) ; 池田 哲夫 静岡県立大学, 経営情報学部, 教授 (60363727)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 回遊行動モデル / 媒介中心性 / 回遊中心性 / 実証評価 / 観光

Outline of Final Research Achievements

The purpose of this study is to establish a ramblers’ behavioral model that enables an adequately accurate prediction of future behaviors of ramblers (tourists) during sightseeing tours, etc. and to verify the model’s effectiveness. The study analyzed road networks and tourists’ questionnaire survey results, proposed and evaluated the method to extract optimal tourist spots by expanding the rambling centrality, developed a parallel computing method to extract important tourist spots (with probability) based on the set rambling centrality, and developed an app to measure rambling behaviors. Then, using the rambling behavior data, it evaluated and expanded the set betweenness centrality and set rambling centrality to increase the matching rate with the centrality of actual behaviors. Furthermore, it examined digital disaster signages for tourists. Through a wide range of coverage, including applications, the study successfully acquired useful results.

Free Research Field

情報教育，防災情報システム