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Jurnal Ekonomi Malaysia

59 (3) 2025 1 – 12

A Comparison of Survival and Truncated Negative Binomial Models: Modelling Tourist Length of Stay in Sabah Using the Theory of Planned Behaviour
Perbandingan Model Survival dan Model Binomial Negatif Terpangkas: Pemodelan Tempoh Penginapan Pelancong di Sabah Menggunakan Teori Tingkah Laku Terancang

Faculty of Business, Economics and Accountancy
Universiti Malaysia Sabah
Jalan UMS, 88400 Kota Kinabalu, Sabah, MALAYSIA.

taykaixin@ums.edu.my

Abstract

In the present study, a comparative analysis was conducted between count-based and survival analysis models to understand the dynamics affecting the length of stay (LOS) of tourists in Sabah. In addition, the impacts of the socio-demographics, trip characteristics, theory of planned behaviour (TPB) and tourism activities on the LOS of tourists were examined. The data obtained from a survey of 725 departing tourists were analysed using a count-based truncated negative binomial (TNB) model and a survival analysis model. The factors of education level, income level, travelling with family, visiting friends and family, luxury accommodation, and full-board tour packages correlated with longer LOS. The comparative modelling approach provided a robust framework for the LOS analysis, demonstrating how different methods can yield holistic insights. These insights are valuable for tourism marketers to develop tailored packages targeting these specific segments. Most of the tourism activities had a positive impact on LOS, validating Sabah’s offerings for extending the LOS of tourists.

http://dx.doi.org/10.17576/JEM-2025-5903-1
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Tay, K. X. (2025). A Comparison of Survival and Truncated Negative Binomial Models: Modelling Tourist Length of Stay in Sabah Using the Theory of Planned Behaviour. Jurnal Ekonomi Malaysia, 59(3), 1–12. http://dx.doi.org/10.17576/JEM-2025-5903-1

@article{tay2025a,
  title={A Comparison of Survival and Truncated Negative Binomial Models: Modelling Tourist Length of Stay in Sabah Using the Theory of Planned Behaviour},
  author={Tay, Kai Xin},
  journal={Jurnal Ekonomi Malaysia},
  volume={59},
  number={3},
  pages={1—12},
 

year={2025},
}

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