Assessment of factors affecting tourism satisfaction using K-nearest neighborhood and random forest models

OBJECTIVE: This study aimed to identify factors affecting the satisfaction of tourists traveling to the city of Hamadan as Asian urban tourism capital in 2018. The data a random sample of 300 tourists were collected using a designed questionnaire. We applied random-forest and K-nearest-neighborhood methods to analyze the data. RESULTS: The variables of society behavior, municipal equipment and cost of services were the three top rank variables in predicting tourist satisfaction. Considering the capacity of the ancient city of Hamadan for tourism, policy-makers can use our results in planning for providing a sustainable development and flourishing tourism industry in this city.