WCSE

Travel Behavior of Low-Income Rural Residents: A Multidimensional Analysis Using Artificial Neural Network

Abstract— Understanding the travel behavior of low-income rural residents is essential for effective transportation planning, particularly in urbanizing regions like Davao City, Philippines. Traditional transportation models often fail to capture the intersectionality of socioeconomic factors, such as income, sex, and age, which significantly influence mobility patterns. This study employs an Artificial Neural Network (ANN) approach to analyze the multi-dimensional characteristics of travel behavior among low-income residents in Barangay Angalan. Using household travel surveys, the study stratifies respondents into four groups: Male of Working Age, Female of Working Age, Elderly Male, and Elderly Female. Findings reveal distinct travel patterns across demographics. Working-age males primarily travel for employment, with motorcycles as their dominant mode of transport, whereas females utilize multi-modal transport, combining walking and tricycle rides. Elderly individuals, particularly women, exhibit lower trip frequencies, with a higher reliance on non-motorized travel. The ANN model demonstrates high predictive accuracy, effectively identifying trip purposes and mode choices, with F1-scores exceeding 0.7 for most classifications. The study highlights the importance of inclusive transport policies that consider gender and age disparities. Improved infrastructure, accessibility, and policy interventions tailored to the needs of marginalized populations can enhance mobility equity. The ANN approach provides a robust framework for predicting travel behavior, offering valuable insights for sustainable rural-urban mobility planning.

Index Terms— travel behavior, artificial neural network, rural mobility, low-income residents, intersectionality

Jay T. Cabuñas, Alexis M. Fillone
De La Salle University, PHILIPPINES
Jay T. Cabuñas, Roy Reniel S. Gacal
Mapúa Malayan Colleges Mindanao, PHILIPPINES

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Cite: Jay T. Cabuñas, Roy Reniel S. Gacal, Alexis M. Fillone, "Travel Behavior of Low-Income Rural Residents: A Multidimensional Analysis Using Artificial Neural Network", 2025 the 15th International Workshop on Computer Science and Engineering (WCSE 2025), pp. 206-211, Jeju Island, South Korea, June 28-30, 2025.