Spatial-temporal impacts of tourism economy

研究成果: Conference contribution

抄録

This study aims to propose a spatial-temporal geographically weighted regression model to estimate tourists' consumption caused by tourism infrastructure improvement. A Bayesian geographically weighted regression model with time series correlations are proposed. In this study, northern part of Nagano prefecture is selected as a study area, where is a popular sightseeing spot because of winter sports, trekking and eco-tourism. In the proposed model, tourists' consumption per tourist is explained by indices relating tourism infrastructure improvement, seasonal distribution of the number of tourists. Model estimation results show the followings. Estimation results of model parameters indicate that tourism consumption in the previous year and investment on commerce and industry are strongly correlated with tourism consumption. It is also shown that hyper parameter on error term effects over estimate of model parameter.

本文言語English
ホスト出版物のタイトルProceedings of the Fifth International Conference on Traffic and Transportation Studies, ICTTS 2006
ページ444-452
ページ数9
出版ステータスPublished - 2006 12 1
イベント5th International Conference on Traffic and Transportation Studies, ICTTS - Xi'an, China
継続期間: 2006 8 22006 8 4

出版物シリーズ

名前Proceedings of the Conference on Traffic and Transportation Studies, ICTTS

Other

Other5th International Conference on Traffic and Transportation Studies, ICTTS
国/地域China
CityXi'an
Period06/8/206/8/4

ASJC Scopus subject areas

  • 機械工学

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