Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: This study identifies the determinants that influence ecological behaviours among travellers in Poland when choosing transport modes—specifically shifts toward sustainable options such as public transport and electric vehicles—and examines the cognitive decision-making processes underpinning these choices. Need for the study: In the Polish context, economic, infrastructural and psychological factors shape travellers’ ecological decisions. Understanding these determinants—and integrating principles of intelligent mobility management—enables policymakers to design targeted interventions that foster environmental responsibility. Methodology: A nationwide CAWI survey was conducted in late 2023 with 1,117 respondents aged 18, stratified to reflect demographic distributions across Poland. The questionnaire probed both external influences on travel choices and internal decision-making factors. Findings: The study shows that electric vehicle adoption is most responsive to lower purchase costs, expanded charging infrastructure, and environmental awareness—especially when supported by intelligent tools like AI-powered digital twins. Public transport and walking gain popularity through unified ticketing, service upgrades, and price reductions. Travellers make decisions based on convenience, cost, and environmental concerns, while intelligent management systems enhance choices by delivering real-time data on congestion, emissions, and expenses. Practical Implications: To support sustainable mobility, policymakers should promote electric vehicles through financial incentives and invest in charging networks and public transport improvements. Integrated ticketing across transport modes can simplify multimodal travel. The use of intelligent management tools—such as AI-driven planners and digital twins—can optimise route selection, reduce external costs and support sustainable transport objectives.