Modeling Overall Level of Satisfaction with Sidewalks outside Metro Terminals: A User-Centric Approach

Abstract

This study addresses the gap in integrating subjective pedestrian satisfaction with sidewalks and the need for micro-level assessments near metro terminals to enhance first- and last-mile connectivity. Thus, it models the Overall Level of Satisfaction (OLS) with sidewalks around metro stations by combining user perceptions with traditional assessment variables. Data was collected through user rating surveys, where respondents evaluated sidewalk characteristics. The data was split into training and testing data (75:25). An Ordinal Logistic Regression (OLR) model was developed and analysed the relationship between physical and user characteristics with OLS. Key findings indicate that Surface Condition, Width, Continuity, Walking Environment, Safety, Security and Comfort positively influence OLS, while Obstructions, Vehicular Conflict and Encroachments negatively impact it. The McFadden pseudo-R-square (p2) value of 0.235 shows that the model explains 23.5% of the variance in OLS, demonstrating strong explanatory power and a good fit to the data.