Development of a tourist consumption model in small areas for measurement of network effects on multiple transportation

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K12414
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 80020:Tourism studies-related
• Research Institution: Nanzan University
• Principal Investigator: Takaaki Okuda 南山大学, 経営学部, 教授 (40233457)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: インバウンド観光 / 周遊観光 / 交通ネットワーク / 観光ビックデータ / 空間的自己相関モデル

Outline of Final Research Achievements

Spatial relationships (spatial weight matrices in spatial autocorrelation models) between tourist destinations change when transportation network investments are made. Therefore, tourism consumption models in multi-destinations have been developed to analyze these effects. This model has been developed using inter-prefectural data published by the Ministry of Land, Infrastructure, Transport and Tourism in Japan. In this study, by utilizing location information (tourism big data, Trip flow data) of foreign visitors to Japan, we have succeeded in developing a tourism consumption model in multi-destinations that can be analyzed on a city, ward, town, and village basis.

Free Research Field

観光学、経営学

Academic Significance and Societal Importance of the Research Achievements

外国人観光客は複数の観光地を周遊しながら観光消費を行うことが多い。この研究では、市区町村を分析単位にして周遊の中で行われる観光消費を分析する新しい手法を開発した。これによって、国際交通から国内の幹線交通、地方交通へと至る一連の交通サービスをシームレスに提供することが、大都市圏に集中する外国人観光消費を地方圏に分散させることにつながるかどうかを、データを用いて評価することが可能になった。