A Reproducible Framework for Tourism Pressure Assessment and Demand-Balancing Analysis in the United Arab Emirates

Abstract

Timely evidence on visitor pressure, spatial concentration, and recovery asymmetries is becoming increasingly demanded in destination management, but public agencies may not have full, cleaned, daily mobility databases. This paper formulates a replicable analytical system that can be functional even in the case of publicly visible summary mobility statistics. United Arab Emirates (UAE) retail and recreation indicators and transit-station indicators      at the emirate level based on the history of Google Community Mobility Reports reflected   via CEIC public pages are converted into understandable recovery, volatility and composite pressure measures. Clustering is then standardized in order to determine destination profiles and an exemplary demand-balancing scenario is implemented to emirates with high recovery scores. The findings indicate that there is evident heterogeneity within the federation. Abu Dhabi has a contained-recovery profile, and the middle-recovery group with moderate-high volatility includes Ajman, Fujairah, Ras Al Khaimah, and Sharjah, with the outlier of high pressure at Umm Al Quwain. In the observed configuration, the average recovery score is 21.67 and in the balancing scenario, it is 19.73 across the six emirates with full retail summaries, which is equivalent to an 8.94 percentage drop. The paper will add a clear methodological process of transforming public summary indicators into destination-level diagnostics which can be used to facilitate prioritization, intervention screening and policy communication in conditions of limited data-access.