Abstract
The study aims to contribute to developing and optimizing the decision-making mechanism regarding activity chains by integrating a utility model with the decision-making by considering the most influential factors on activity chains. The data used are based on the survey during 2020 in Budapest. The parameters contained traveller factors, trip factors, weather factors, travel comfort, travel quality and travel safety. The study used Excel, NLOGIT and MATLAB to analyze and identify the interaction between parameters and create the optimum way to conduct the activity chain. The results found that travel time, travel cost, marital status, and trip distance significantly affect the activity chains. So, these variables are considered when the travellers assign the optimum daily activity chains. This study provides good insights into the activity behaviour of travellers in Budapest.
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