Exploring the Choice of Bicycling and Walking in Rajshahi, Bangladesh: An Application of Integrated Choice and Latent Variable (ICLV) Models

Bangladesh has emphasized active transportation in its policies and encouraged population, especially the youth students, towards bicycling. However, there is a scarcity of studies that have examined factors important to choice can be referenced support initiative. To address this research gap, study, we explore influence sociodemographics latent perceptions built environment on walk bicycle among students nonstudents Rajshahi, Bangladesh. In conducted household survey between July August, 2017. We used modeling framework integrated variable (ICLV) models effectively incorporate perception variables model, addressing measurement error endogeneity bias. Our show are influenced by safety from crime, while their walkability when choosing for commuting trips. For recreational trips, more concerned about road safety, whereas crime. find significantly positively influences walking behavior nonstudents. Structural equation females likely provide lower neighborhood walkability, Regarding decisions, overall, difference student nonstudent groups also within these groups. The findings study assist developing sustainable system needs different segments population. recommendations regarding promoting Rajshahi.