Determinants of tourists' length of stay at various scenic spots based on cellular data

Yu-Chiun Chiou, Chih Wei Hsieh

研究成果: Conference contribution同行評審

摘要

This study aims to investigate factors contributing to the length of stay on various types of scenic spots based on cellular probe data by using accelerated failure time (AFT) models with three error terms distribution, Weibull, log-normal, and log-logistic, respectively. Potential factors related to scenic spots and trip characteristics are selected. A case study on Yi-Lan County, Taiwan, where has a variety of scenic spots attracting visitors, has been conducted. The estimation results show that the Log-normal AFT model performs best. The key factors contributing to length of stay include origin city, travel distance, entrance time, travel mode, and sequence of visited scenic spots.

原文English
主出版物標題Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018
編輯Weihua Gu, Shuaian Wang
發行者Hong Kong Society for Transportation Studies Limited
頁面283-289
頁數7
ISBN(電子)9789881581471
出版狀態Published - 12月 2018
事件23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018 - Hong Kong, 香港
持續時間: 8 12月 201810 12月 2018

出版系列

名字Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018

Conference

Conference23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018
國家/地區香港
城市Hong Kong
期間8/12/1810/12/18

指紋

深入研究「Determinants of tourists' length of stay at various scenic spots based on cellular data」主題。共同形成了獨特的指紋。

引用此