ҚОҒАМДЫҚ WI-FI ДЕРЕКТЕРІ НЕГІЗІНДЕ ТУРИСТІК БЕЛСЕНДІЛІКТІ AI-БАҒДАРЛАМАЛЫ МОНИТОРИНГТЕУ

Заминова Ж.А., Молдагалиева А.Е., Актымбаева А.С., Саткали И.Қ.*, Абдреева Ш.Т.

doi:10.37238/2960-1371.2960-138X.2026.101(1).29

Заминова Ж.А., Молдагалиева А.Е., Актымбаева А.С., Саткали И.Қ.*, Абдреева Ш.Т. КазНУ им. Аль - фараби

DOI: https://doi.org/10.37238/2960-1371.2960-138X.2026.101(1).29

Abstract

The article proposes a digital monitoring model based on the integration of public Wi-Fi data and artificial intelligence (AI) algorithms as an effective tool for analysing tourist flows. To overcome the limitations of traditional accounting methods, the study justifies the use of device-free tracking technology, MAC address anonymisation through SHA-256 hashing, and DBSCAN and LSTM algorithms. Based on Barcelona's smart experience and open data from wifimap.io, a spatio-temporal analysis of tourist clusters in Almaty (Kok-Tobe, Panfilova, Shymbulak) was conducted. As a result, the tourist load index for the city (0.52) and the average distance traveled by visitors (6.4 km) were calculated. This approach allows us to assess the activity of informal tourists and local communities, which is not reflected in official statistics. The findings of the study serve as a scientific and practical basis for the development of the Smart Tourism ecosystem, forecasting the risks of over-tourism and optimising the city budget based on data (Big Data).