including socioeconomic variables in the utility functions
Posted: 31 Jan 2022, 04:00
Hello,
In my dataset, I have many socioeconomic variables such as age_group, Disability, Income_group.
I have 4 mode choices including Drive, Ride, Bus, Walk.
When I put all the socioeconomic variables in each of the utility functions, it leads to over-specification of variables. What is the solution to this?
Is it correct if I put a socio-economic variable in just one or two utilities instead of all four utilities?
V[["DR"]] = asc_DR + A_Drive_Time * Drive_Time + A_Drive_Cost*Drive_Cost
V[["RI"]] = A_Ride_Time *Ride_Time
V[["WA"]] = asc_WA+ C_Walk_Time*Walk_Time +C_Age*age_group+C_Disability*Disability
V[["BUS"]]=asc_BUS+ D_Bus_Time*Bus_Time +D_Bus_Cost * Bus_Cost +
D_Income_Group*(Income_Group==0)+ +D_Age*age_group+C_Disability*Disability
Thanks!
Ariana
In my dataset, I have many socioeconomic variables such as age_group, Disability, Income_group.
I have 4 mode choices including Drive, Ride, Bus, Walk.
When I put all the socioeconomic variables in each of the utility functions, it leads to over-specification of variables. What is the solution to this?
Is it correct if I put a socio-economic variable in just one or two utilities instead of all four utilities?
V[["DR"]] = asc_DR + A_Drive_Time * Drive_Time + A_Drive_Cost*Drive_Cost
V[["RI"]] = A_Ride_Time *Ride_Time
V[["WA"]] = asc_WA+ C_Walk_Time*Walk_Time +C_Age*age_group+C_Disability*Disability
V[["BUS"]]=asc_BUS+ D_Bus_Time*Bus_Time +D_Bus_Cost * Bus_Cost +
D_Income_Group*(Income_Group==0)+ +D_Age*age_group+C_Disability*Disability
Thanks!
Ariana