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

Yu-Chiun Chiou, Chih Wei Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationTransportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018
EditorsWeihua Gu, Shuaian Wang
PublisherHong Kong Society for Transportation Studies Limited
Pages283-289
Number of pages7
ISBN (Electronic)9789881581471
StatePublished - 1 Jan 2018
Event23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018 - Hong Kong, Hong Kong
Duration: 8 Dec 201810 Dec 2018

Publication series

NameTransportation 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
CountryHong Kong
CityHong Kong
Period8/12/1810/12/18

Keywords

  • Cellular probe data
  • Length of stay
  • Scenic spots
  • Survival analysis

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  • Cite this

    Chiou, Y-C., & Hsieh, C. W. (2018). Determinants of tourists' length of stay at various scenic spots based on cellular data. In W. Gu, & S. Wang (Eds.), Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018 (pp. 283-289). (Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018). Hong Kong Society for Transportation Studies Limited.