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 below (assuming it was estimated using zonal averages instead of individual households), predict the change (include + or -) in the number of peak-hour social/recreational trips if employment in the area increases by 25% and household income by 10%. Blank 1 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 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 below (assuming it was estimated using zonal averages instead of individual households), predict the change (include + or -) in the number of peak-hour social/recreational trips if employment in the area increases by 25% and household income by 10%. Blank 1 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) ***
Chapter2: Loads On Structures
Section: Chapter Questions
Problem 1P
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Transportation Engineering (Upvote will be given. Write the solutions legibly. Round-off the Final answer in 2-decimal places. No long explanation needed.)
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Step 1: Given:
VIEWStep 2: non-working members:
VIEWStep 3: new working and non-working:
VIEWStep 4: new income:
VIEWStep 5: Number of the peak-hour:
VIEWStep 6: number of trips:
VIEWStep 7: number of trips from the new data:
VIEWStep 8: change in the trips:
VIEWStep 9: total change in the trips:
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