Modelling Framework

1. Step-1

1.1. Defining Predictors / Independent Variables

1.1.1. Sociodemographic profile

1.1.1.1. 1. EDU 2. AGE 3. GENDER 4. JOB 5. Profession 6. INCOME

1.1.2. Travel behaviour

1.1.2.1. 1. Travel_Freq_work 2. Work_setting 3. Own_Vehicle 4. Preffered_mode_work 5. Daily_VKT 6. Preffered_mode_Non_work 7. Travel_Freq_CBD 8. Trip_perpose_CBD 9. Departure_time

1.1.3. Revenue usage benefits

1.1.3.1. 1. Cong_Reduc_Measures 2. Reduce_Congestion 3. Rev_for_PT_improvement 4. Rev_for_PT_fare 5. Rev_for_Road_infra 6. Rev_for_Cyc_infra

2. Step-2

2.1. Multinomial Logit (MNL) model development

2.1.1. Model development

2.1.1.1. Model Examination through model fitting information & goodness of fit

2.1.1.1.1. Sig.<0.05

3. Step-3

3.1. Artificial Neural Network (ANN) model development

3.1.1. Building model

3.1.1.1. Selecting Dependent and Independent variables

3.1.1.1.1. Defining ANN model Architecture