Assume you are conducting a demand modeling study for the morning commuting trips during the peak hour of a typical work day between the City of Bellevue and the City of Seattle. Below is some basic demographics information of the two cities (they are fictions): Assume your study shows that the trip generation for a single household in Niskayuna depends on two factors: household income and the number of workers per household. The formula is estimated as: # of commute trips generated per household = 0.05 + 0.005*(household income in thousand dollars) + 0.15 * (number of workers in the household). Please estimate the total commute trips generated in the city of Niskayuna during the peak hour of a typical day.
Assume your study shows that the trip attraction for the City of Troy depends on only one factor: the total number of establishments. The formula is estimated as: Total # of attracted trips = 65 + 40*(total number of establishments). Please estimate the total number of attracted trips in the city of Troy during the peak hour of a typical day.
Use the two linear regression models to determine:
1) The total trip production in City of Niskayuna
2) The total trip attraction in City of Troy
City of Niskayuna City of Troy
# of households 7,397 19,963
Total # of workers 10,637 20,304
mean household income ($) 111,728 49,110
# of establishments 136 128