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 language | English |
|---|---|
| Title of host publication | Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018 |
| Editors | Weihua Gu, Shuaian Wang |
| Publisher | Hong Kong Society for Transportation Studies Limited |
| Pages | 283-289 |
| Number of pages | 7 |
| ISBN (Electronic) | 9789881581471 |
| State | Published - 1 Jan 2018 |
| Event | 23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018 - Hong Kong, Hong Kong Duration: 8 Dec 2018 → 10 Dec 2018 |
Publication series
| Name | Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018 |
|---|
Conference
| Conference | 23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018 |
|---|---|
| Country | Hong Kong |
| City | Hong Kong |
| Period | 8/12/18 → 10/12/18 |
Keywords
- Cellular probe data
- Length of stay
- Scenic spots
- Survival analysis
Fingerprint Dive into the research topics of 'Determinants of tourists' length of stay at various scenic spots based on cellular data'. Together they form a unique fingerprint.
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.