243
Views
1
CrossRef citations to date
0
Altmetric
ARTICLES

Determinants of tourists’ length of stay at various tourist attractions based on cellular data

& ORCID Icon
Pages 716-733 | Received 18 May 2019, Accepted 23 Jan 2020, Published online: 12 Feb 2020

References

  • Adongo, C. A., F. Badu-Baiden, and K. A. A. Boakye. 2017. “The Tourism Experience-Led Length of Stay Hypothesis.” Journal of Outdoor Recreation and Tourism 18: 65–74.
  • Akaike, H. 1985. “Prediction and Entropy.” In Selected Papers of Hirotugu Akaike Springer Series in Statistics (Perspectives in Statistics), edited by E. Parzen, K. Tanabe, and G. Kitagawa, 387–410. New York, NY: Springer. Factors that Affect the Leisure Needs of Agricultural Tourism and Recreation Benefits – an Example in Yilan County.
  • Alegre, J., S. Mateo, and L. Pou. 2011. “A Latent Class Approach to Tourists’ Length of Stay.” Tourism Management 32 (3): 555–563.
  • Alegre, J., and L. Pou. 2006. “The Length of Stay in the Demand for Tourism.” Tourism Management 27 (6): 1343–1355.
  • Alexander, L., S. Jiang, M. Murga, and M. C. González. 2015. “Origin–Destination Trips by Purpose and Time of Day Inferred From Mobile Phone Data.” Transportation Research Part C: Emerging Technologies 58: 240–250.
  • Alén, E., J. L. Nicolau, N. Losada, and T. Domínguez. 2014. “Determinant Factors of Senior Tourists’ Length of Stay.” Annals of Tourism Research 49: 19–32.
  • Barros, C. P., and L. P. Machado. 2010. “The Length of Stay in Tourism.” Annals of Tourism Research 37 (3): 692–706.
  • Calabrese, F., M. Colonna, P. Lovisolo, D. Parata, and C. Ratti. 2011. “Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome.” IEEE Transactions on Intelligent Transportation Systems 12 (1): 141–151.
  • Chen, Y. J. 2014. “Survey on the Influential Factors of Visitor’s Loyalty and Recreation Benefits – an Example of Agri-Tourism in Yilan County.” Master Thesis, National Ilan University.
  • Gao, H., and F. Liu. 2013. “Estimating Freeway Traffic Measures from Mobile Phone Location Data.” European Journal of Operational Research 229 (1): 252–260.
  • Gokovali, U., O. Bahar, and M. Kozak. 2007. “Determinants of Length of Stay: A Practical Use of Survival Analysis.” Tourism Management 28 (3): 736–746.
  • Gómez-Déniz, E., and J. V. Pérez-Rodríguez. 2019. “Modelling Bimodality of Length of Tourist Stay.” Annals of Tourism Research 75: 131–151.
  • Greene, W. H. 2012. Econometric Analysis. 7th ed. Boston: Prentice Hall.
  • Hellinga, B., P. Izadpanah, H. Takada, and L. Fu. 2008. “Decomposing Travel Times Measured by Probe-Based Traffic Monitoring Systems to Individual Road Segments.” Transportation Research Part C: Emerging Technologies 16 (6): 768–782.
  • Hojati, A. T., L. Ferreira, S. Washington, and P. Charles. 2013. “Hazard Based Models for Freeway Traffic Incident Duration.” Accident Analysis & Prevention 52: 171–181.
  • Huang, W. C. 2009. “Affect the Leisure Needs of Agriculture and Tourism and Recreation Benefits of the Factors that-An Example in I-Lan County, Taiwan.” Master Thesis, National Ilan University.
  • Huang, G., J. He, W. Zhou, G.-L. Huang, L. Guo, X. Zhou, and F. Tang. 2016. “Discovery of Stop Regions for Understanding Repeat Travel Behaviors of Moving Objects.” Journal of Computer and System Sciences 82 (4): 582–593.
  • Jiang, S., J. Ferreira, and M. C. González. 2017. “Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore.” IEEE Transactions on Big Data 3 (2): 208–219.
  • Klein, J. P., and M. L. Moeschberger. 2003. Survival Analysis: Techniques for Censored and Truncated Data. Vol. Second Edition, Statistics for Biology and Health. New York: Springer.
  • Lee, K.-H., A. C. Alexander, and D.-Y. Kim. 2014. “A Study of Geographical Distance Groups on Length of Visitors’ Stay at Local Food Festival Destinations.” Journal of Vacation Marketing 20 (2): 125–136.
  • Li, J., L. Xu, L. Tang, S. Wang, and L. Li. 2018. “Big Data in Tourism Research: A Literature Review.” Tourism Management 68: 301–323.
  • Martínez-Garcia, E., and J. M. Raya. 2008. “Length of Stay for Low-Cost Tourism.” Tourism Management 29 (6): 1064–1075.
  • MOTC. 2018. “Public Transport Data eXchange (PTX).” https://ptx.transportdata.tw/PTX.
  • Peypoch, N., R. Randriamboarison, F. Rasoamananjara, and B. Solonandrasana. 2012. “The Length of Stay of Tourists in Madagascar.” Tourism Management 33 (5): 1230–1235.
  • Qi, Y., H. Teng, and D. R. Martinelli. 2009. “An Investigation of Incident Frequency, Duration and Lanes Blockage for Determining Traffic Delay.” Journal of Advanced Transportation 43 (3): 275–299.
  • Rahmani, M., and H. N. Koutsopoulos. 2013. “Path Inference from Sparse Floating Car Data for Urban Networks.” Transportation Research Part C: Emerging Technologies 30: 41–54.
  • Scholtz, M., M. Kruger, and M. Saayman. 2015. “Determinants of Visitor Length of Stay at Three Coastal National Parks in South Africa.” Journal of Ecotourism 14 (1): 21–47.
  • Soler, I. P., G. Gemar, and M. B. Correia. 2018. “Length of Stay for Tourists’ Inland Trips.” Journal of Destination Marketing & Management 10: 49–60.
  • Takada, H. 2006. “Road Traffic Condition Acquisition via Mobile Phone Location Referencing.” PhD dissertation, University of Waterloo.
  • Thrane, C. 2012. “Analyzing Tourists’ Length of Stay at Destinations with Survival Models: A Constructive Critique Based on a Case Study.” Tourism Management 33 (1): 126–132.
  • Thrane, C., and E. Farstad. 2012. “Nationality as a Segmentation Criterion in Tourism Research: The Case of International Tourists’ Expenditures While on Trips in Norway.” Tourism Economics 18 (1): 203–217.
  • Vuong, Q. H. 1989. “Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses.” Econometrica 57 (2): 307–333.
  • Wang, Z., S. Y. He, and Y. Leung. 2018. “Applying Mobile Phone Data to Travel Behaviour Research: A Literature Review.” Travel Behaviour and Society 11: 141–155.
  • Wang, E., B. B. Little, and B. A. DelHomme-Little. 2012. “Factors Contributing to Tourists’ Length of Stay in Dalian Northeastern China – a Survival Model Analysis.” Tourism Management Perspectives 4: 67–72.
  • Zhao, X., X. Lu, Y. Liu, J. Lin, and J. An. 2018. “Tourist Movement Patterns Understanding from the Perspective of Travel Party Size Using Mobile Tracking Data: A Case Study of Xi'an, China.” Tourism Management 69: 368–383.
  • Zheng, Y., L. Zhang, X. Xie, and W.-Y. Ma. 2009. “Mining Interesting Locations and Travel Sequences From GPS Trajectories.” In Proceedings of the 18th International Conference on World Wide web, 791–800. Madrid, Spain: ACM.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.