2018 Fiscal Year Final Research Report

A Study on Trip Chain Characteristics by Market Segments in Tourism Destinations Using Big Data

Research Project

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Project/Area Number	16H03331
Research Category	Grant-in-Aid for Scientific Research (B)
Allocation Type	Single-year Grants
Section	一般
Research Field	Tourism Studies
Research Institution	Tokyo Metropolitan University
Principal Investigator	Shimizu Tetsuo 首都大学東京, 都市環境科学研究科, 教授 (40272679)
Co-Investigator(Kenkyū-buntansha)	直井岳人首都大学東京, 都市環境科学研究科, 准教授 (10341075) 片桐由希子首都大学東京, 都市環境科学研究科, 助教 (50508190) 相尚寿東京大学, 空間情報科学研究センター, 助教 (70624419) 鈴木祥平首都大学東京, 都市環境科学研究科, 特任助教 (70826825) 倉田陽平首都大学東京, 都市環境科学研究科, 准教授 (50585528)
Project Period (FY)	2016-04-01 – 2019-03-31
Keywords	観光圏政策 / 観光周遊行動分析 / 観光ビッグデータ / 一次交通サービス / 二次交通サービス
Outline of Final Research Achievements	This study analyzes travel behavior characteristics in tourist destinations of Japan such as "tourism zone" through big-data-based and questionnaire-based analytical methods, in order to provide policy recommendations for better tourism zone development. First, effects of level of service of primary transport services to a tourist destination on number of tourist arrivals and time duration of their stay are analyzed using position-based big data. Second, potentials of social media use and information provision for promoting time spent and consumption are evaluated through questionnaire and field surveys. Third, characteristics of willingness-to-pay to local secondary transport services are analyzed through questionnaire surveys at several tourist destinations. Finally, policy recommendation for better tourism zone development focusing on improvements on primary and secondary transport service level and, on local tourism promotion organization.
Free Research Field	交通学，観光政策学，観光計画学，観光統計・データ
Academic Significance and Societal Importance of the Research Achievements	本研究は，観光政策・施策で具体的に使える提言の作成を目的に，そのために必要な観光ビッグデータの分析手法を提案している点が大きな特徴であり，ややもするとデータ分析のためのデータ分析研究に陥っていた観光分野での一連のビッグデータ利活用研究とは異なり，当該研究分野の実務的価値を高めることに貢献できたと考えている．