To determine the impact of mixed-use buildings on transportation demand, this study estimates the trip generation rates of various mixed-used buildings comprised of different combinations of five land use categories: shopping malls, restaurants, hospitals, banks, and educational institutions. Vehicle and pedestrian count data and vehicle occupancy information of the selected sites (i.e., mixed-use buildings) were gathered through observational surveys. Data was collected for 1 hour during the peak period of business. Other descriptive features of the buildings, such as gross floor area, number of employees, no. of seats/beds/shops, and peak hours, were assembled via a questionnaire survey. Different analytical approaches, such as regression trees and linear regression, were used to analyze the collected data. Predictive models of trip generation rates were developed with the establishment features as the predictors. The estimated trip rates were checked against the values provided in the Institute for Transportation Engineers (ITE) manual and (Ahmed et al. in Transp Res Rec 2674:412–425, 2020 [1]). The trip rates obtained from the study were higher than those provided in the ITE manual. The gross floor area of the establishments was found to be the most critical predictor of trip generation, followed by the number of employees. The estimated trip generation rates will be helpful for traffic impact analysis of significant roadside development projects.