The aim of this study was to estimate trip generation rate for residential areas and modal split analysis of school trips where Belagavi city in India was selected as a case study. The data were collected through a questionnaire survey distributed among all the households to determine the travel attributes of the trip makers and were further used to calibrate the appropriate model. The relationship between variables were developed using regression technique by using statistical packages for the social sciences (SPSS) software. To calculate the sample size, Levy and Lemeshow's empirical formulas were adopted. A total sample of about 400 households were interviewed in each zone. The results indicated that the total trips are influenced by Number of school going students, Number of workers, Car ownership, Income level and size of the household. The study also focuses on the modes available for school trips in the city. Based on a descriptive examination of the data, four modes—private automobile, auto, bus, and two-wheelers—are taken into account when modelling the mode choice for school excursions.. The multinomial logit model is developed with utility functions for different modes to estimate the modal share of school trips. Development of these models helps to planners, engineers and builders to simulate current and future scenario on the roads with a suitable modeling process.

Household attributes, Regression analysis, Modal split, logit model, SPSS statistics