Psychological determinants of transport mode choice: A comprehensive dataset from Pabna Municipality, Bangladesh.

This data article introduces a detailed and structured dataset derived from a survey exploring the psychological factors that influence transport mode choices in Pabna Municipality, northwest of Bangladesh. This dataset covers a wide range of socio-demographic factors, i.e., income, occupation level, and age, as well as the factors related to the choice of the mode of transportation, money expenditure, and a set of psychological determinants, i.e., the perceived safety, financial constraint, and environmental consciousness. These aspects are often under-represented in existing research. The data were collected using a carefully structured questionnaire survey of 348 samples conducted over a three weeks survey of urban residents on different points. The dataset is an important resource to researchers working on urban planning, transportation behaviour analysis, environmental psychology and public health as it provides a more detailed understanding of how psychological factors interact with mode choice in transportation. This will help in policy-making, to contribute to the broader field of urban transport planning. To validate the reliability and predictive capability of the dataset, several supervised machine learning models were applied, demonstrating strong classification performance for transport mode choice. The dataset can be used in future research on inclusion-based, user-friendly transport systems especially in Bangladesh as well as other rapidly urbanising regions, as it is in line with global sustainability.