Assume you are conducting a demand modeling study for the morning commuting trips during the peak hour of a typical work
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Assume you are conducting a demand modeling study for the morning commuting trips during the peak hour of a typical work
Questions: (1) Assume your study shows that the trip generation for a single household in Bellevue 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) Estimate the total commute trips generated in the City of Bellevue during the peak hour of a typical day. (2) Assume your study shows that the trip attraction for the City of Seattle 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) Estimate the total number of attracted trips in the City of Seattle during the peak hour of a typical day (3) If a Gravity Model is to be used to estimate the trip distribution between Bellevue and Seattle, estimate the number of trips between the two cities based on the following assumptions (d; is the distance between the two cities, in miles): ai is 0.1 Bj is 0.2 100 Fij (d₁j) = - d¾; Kij=0.01
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 (these are factious numbers): City of Bellevue # of households 7,397 City of Seattle 19,963 20,304 Total # of workers 10,637 mean household income ($) 111,728 49,110 # of establishments 136 128 The distance between the two cities is about 13.4 miles. Discussion