Methodology for Selecting the Most Suitable Functionalities for Travel Application

The rapid development of travel applications has significantly transformed user experiences in both public and individual transportation. However, the increasing complexity and diversity of available functionalities pose a challenge for developers and stakeholders in identifying and implementing the most suitable features that reflect user needs while remaining technically and economically feasible. This article proposes a systematic methodology for selecting optimal functionalities for travel applications, combining expert evaluations, user preferences, and multi-criteria decision-making techniques, specifically the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The practical application of the methodology was demonstrated in the context of urban public transport on a sample of selected functionalities. The results showed that the most suitable functionalities include route planning, real-time information provision, and electronic ticket sales, while functionalities such as eco-routing and personalized recommendations received lower preferences. The proposed approach provides specific recommendations for application developers and transport authorities, enabling a balanced implementation of functionalities to maximize user satisfaction, improve operational efficiency, and support technological sustainability.