A Memory-dependent (q,t)-deformed Fractional Decision-support Model for Sustainable Religious Tourism Management in Iraq

Authors

  • Rabha W. Ibrahim Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Nasiriyah 64001, Iraq https://orcid.org/0000-0001-9341-025X

DOI:

https://doi.org/10.15377/2409-5761.2026.13.9

Keywords:

Sustainable tourism planning, Religious tourism management, (q,t)-deformed fractional calculus, Fractional decision-support models, Pilgrim-flow and congestion management

Abstract

This study proposes a memory-dependent (q,t)-deformed fractional decision model for religious tourism management in Iraq, with a case study focused on the Najaf–Karbala pilgrimage corridor during high-density visitation periods such as Arbaeen. The model describes the nonlinear interaction among pilgrim flow, crowding intensity, service capacity, risk pressure, and visitor satisfaction. The deformation parameters (q,t) capture scale-sensitive and delayed responses in tourism demand, whereas the fractional order a represents memory effects associated with seasonal pilgrimage behavior and accumulated service pressure. The framework provides a quantitative tool for forecasting congestion, evaluating service-capacity limitations, and supporting sustainable planning for religious-tourism destinations in Iraq.

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Published

2026-09-24

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How to Cite

A Memory-dependent (q,t)-deformed Fractional Decision-support Model for Sustainable Religious Tourism Management in Iraq. (2026). Journal of Advances in Applied & Computational Mathematics, 13(2), 150-172. https://doi.org/10.15377/2409-5761.2026.13.9

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