Determinants of Tourists’ Length of Stay at Various Tourist Attractions Based on Cellular Data,Transportmetrica A: Transport Science

当前位置： X-MOL 学术 › Transportmetr. A Transp. Sci. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Determinants of Tourists’ Length of Stay at Various Tourist Attractions Based on Cellular Data
Transportmetrica A: Transport Science ( IF 3.3 ) Pub Date : 2020-01-01 , DOI: 10.1080/23249935.2020.1722288
Yu-Chiun Chiou, Chih-Wei Hsieh

ABSTRACT This paper aimed to investigate contributing factors in length of stay at various types of tourist attractions based on cellular data. Accelerated failure time (AFT) models with three error terms distribution were compared: Weibull, log-normal, and log-logistic. The model with frailty was further used to accommodate unobserved heterogeneity. Potential factors related to attractions and trip characteristics are selected. A case study on Yi-Lan County, Taiwan, where has a variety of sightseeing spots attracting visitors, was conducted. The estimation results show that the Log-normal AFT model with frailty performs best. The key contributing factors in length of stay are city of origin, travel distance, entrance time, travel mode, and sequence of visited spots.

更新日期：2020-01-01

点击分享查看原文

点击收藏

阅读更多本刊最新论文

全部期刊列表>>