PRIN.OF HIGHWAY ENGINEERING&TRAFFIC ANA.
PRIN.OF HIGHWAY ENGINEERING&TRAFFIC ANA.
7th Edition
ISBN: 9781119610526
Author: Mannering
Publisher: WILEY
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Chapter 8, Problem 3P
To determine

The change in number of peak hour social/recreational trips.

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A large residential area has 1400 households with an average household income of $40,000, an average household size of 4.8, and, on average, 1.5 working members. Using the model shown below (assuming it was estimated using zonal averages instead of individual households), predict the change in the number of peak-hour social/recreational trips if employment in the area increases by 25% and household income by 10%. Number of peak-hour vehicle-based social/recreational trips per household = 0.04 + 0.018(household size) + 0.009(annual household income in thousands of dollars) +0.16(number of nonworking household members)
A large residential area has 1500 households with an average household income of $15,000, an average household size of 5.2, and, on the average, 1.2 working members. Using the model below, predict the change in the number of peak hour social/recreational trips If employment in the area increased by 20% and household income by 10%. number of peak-hour vehicle-based social/recreational trips per household 0.04 + 0.018(household size)+ 0.009(annual household income in thousands of dollars)+ 0.16(number of nonworking household members)
It is known that 5,000 automobile trips are generated in a large residential area from 3:00 PM to 4:00 PM on Sundays for shopping purposes. If a logit model is estimated with coefficients of 0.0165 for commercial space (in thousands of ft²) and -0.5435 for distance (in miles), how many trips will be made to each of the 3 shopping centers with characteristics shown in the table below? Shopping Center 1 2 3 Distance from Commercial residential area (miles) floor space (ft²) 2.43 200,000 4.67 5.02 150,000 300,000
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