• R. N. Shukla
• Krunalkumar A. Bhut
• P. J. Gundaliya
• H. R. Varia

The travel demand is continuously growing due to rapid development of infrastructure, business opportunity and higher education. Estimating the number of trips generated in the city is basic and the most important step in travel demand forecasting. Transport generated trips are considered with an aim to improve the accuracy of Transport trip production models. Trip production model can be developed by two methods- Regression Analysis and cross- classification Analysis (category analysis). Trip production models in India have traditionally been developed using simple regression analysis. In this research selected area of Ahmedabad city is taken as study area for developing trip production models. Home Interview Survey (HIS) was used to collect Socio-economic and demographic data of different wards of study area. The Aim of this research is to develop trip production models by Regression analysis and Multiple Classification Analysis (MCA). Comparison between the results of MCA and linear regression analysis will also be carried out. Nomograms will be developed based on MCA tables and can be used to estimate trip rate values for other cities with similar socioeconomic characteristics. MCA table has been developed for three different scenario based on correlation and ANOVA test. Based on correlation and ANOVA test three models for MCA and Regression are developed for three different scenario. Results of MCA show that Family size, Number of school/college going children and Number of employed person in Household give the best grouping among all the independent variables. Standardized coefficients of the regression equations show that Number of school/college going children in household and family size has the maximum effect on trip rate followed by employed person in Household. Whereas Household income and Vehicle ownership has comparatively lesser effect. Statistical analysis of MCA and linear regression models shows that Model 1 is more relevant than Model 2 and Model 3. Model 1 is based on Family size, Number of school/college going children and Employed person in household as independent variables and trip production rate is dependent variable.

Multiple Classification Analysis (MCA), Nomograms, Regression, Trip generation, Trip production models

"Trip Production Model Development by Multiple Classification Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.94-103, May-2019, Available :http://www.jetir.org/papers/JETIR1905117.pdf

"Trip Production Model Development by Multiple Classification Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp94-103, May-2019, Available at : http://www.jetir.org/papers/JETIR1905117.pdf