PRIN.OF HIGHWAY ENGINEERING&TRAFFIC ANA.
7th Edition
ISBN: 9781119610526
Author: Mannering
Publisher: WILEY
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Chapter 8, Problem 14P
To determine
The addition amusement floor space would have to be added to destination 1 to have it capture 35% of the total social/recreational trips.
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to no congestion on the road further downstream of the railway grade crossing.
QUESTION 5:
Consider trip distribution within 5 zones in an area. The total trip production from zone 1 is
1000. The travel times from zone 1 to zones 2, 3, 4 and 5 are 5, 10, 20, and 30 minutes,
respectively. The trip attraction to zones 2, 3, 4 and 5 are 50, 200, 75, and 450, respectively.
Assume that the number of trips produced from zone 1 to zones 2, 3, 4 and 5 is inversely
proportional to the inter-zonal travel time.
(a) Estimate the number of trips from zone 1 to zones 2, 3, 4 and 5 using the gravity model.
(b) Assume that the future trip production from zone I will increase to 1,250 and the future trip
attraction to zones 2, 3, 4 and 5 will increase to 100, 225, 100, and 600, respectively. Predict
the number of trips from zone 1 to zones 2, 3, 4 and 5. The inter-zonal travel times remain
the same.
(c) Compare the number of trips from zone 1 to each destination zone between (a) and (b).
Identify the…
A model for non-work related trips has been developed by the Texas Department of Transportation for Wheeler, Texas. The model is based on the number of trips per household:
Number of peak-hour vehicle-based social 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)
For the northeast section of Wheeler, the average household has six members and an annual income of $50,000. If each household has one working member, how many peak-hour social trips are predicted?
A large retirement village has a total retail employment of 120. All 1600 of the households in this village consist of
two nonworking family members with household income of $20,000. Assuming that shopping and
social/recreational trip rates both peak during the same hour (for exposition purposes), predict the total number
of peak-hour trips generated by this village using the trip generation models of Example Problems 1 and 2.
Chapter 8 Solutions
PRIN.OF HIGHWAY ENGINEERING&TRAFFIC ANA.
Ch. 8 - Prob. 1PCh. 8 - Prob. 2PCh. 8 - Prob. 3PCh. 8 - Prob. 4PCh. 8 - Prob. 5PCh. 8 - Prob. 6PCh. 8 - Prob. 7PCh. 8 - Prob. 8PCh. 8 - Prob. 9PCh. 8 - Prob. 10P
Ch. 8 - Prob. 11PCh. 8 - Prob. 12PCh. 8 - Prob. 13PCh. 8 - Prob. 14PCh. 8 - Prob. 15PCh. 8 - Prob. 16PCh. 8 - Prob. 17PCh. 8 - Prob. 18PCh. 8 - Prob. 19PCh. 8 - Prob. 20PCh. 8 - Prob. 21PCh. 8 - Prob. 22PCh. 8 - Prob. 23PCh. 8 - Prob. 24PCh. 8 - Prob. 25PCh. 8 - Prob. 26PCh. 8 - Prob. 27PCh. 8 - Prob. 28PCh. 8 - Prob. 29PCh. 8 - Prob. 30PCh. 8 - Prob. 31PCh. 8 - Prob. 32PCh. 8 - Prob. 33PCh. 8 - Prob. 34PCh. 8 - Prob. 35PCh. 8 - Prob. 36PCh. 8 - Prob. 37PCh. 8 - Prob. 38PCh. 8 - Prob. 39P
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- In a survey in the base year, the trip attraction, number of employees and shopping area in the zones are found as follows: Zone 1 2 3 4 5 6 7 8 9 10 Trip attraction (Trips/day) 34,000 33,000 37,000 9,000 19,000 20,000 50,000 22,000 21,000 5,000 Number of employees (persons) 2000 1500 3000 500 1000 1000 3200 1800 1600 200 Shopping area (m²) 250,000 350,000 150,000 80,000 160,000 180,000 350,000 60,000 100,000 50,000 Prepare a excel worksheet to calculate the generation model by regression analysis.arrow_forwardA small town has two residential zones, A and B producing 900 and 600 work trips respectively. Zones C, D and E are work opportunity zones attraction 900,400 and 200 trips. The travel times between the zones and actual obsrved trips are as shown in the attachment below;arrow_forwardGiven the following transportation network and the production/attraction data in each zone. 3 min 3 3 min 4 min 3 min 4 min 2 min 4 min 2 7 min Production/Attraction Table Zone 1 2 3 4 5 Production 600 1000 500 Attraction 300 200 350 400 The number of trips that originates from Zone 3 and ends in Zone 1 is 13 88 29 None of the abovearrow_forward
- The following 3 Travel Demand Forecasting models were created to estimate the number of peak-hour trips in the suburb of Croydon: T1 = 1.0 + 0.3(household size) + 0.01(household income in thousands of $) T2 = 1.5 + 0.2(household size) + 0.01(household income in thousands of $) T3 = 0.5 + 0.5(household size) + 0.01(household income in thousands of $) The suburb has a total of 3500 households with an average of 4 people per household, an average household income of $90,000 and survey data shows that it generates a total of 11,550 trips in the peak-hour. Which of the above models is the most accurate? A. T1 B. T2 C. T3 D. Can't say as 2 or more models are equally accurate.arrow_forwardA neighborhood has 180 households with the characteristics shown in the table below. A count model for peak-hour work trips is described in the second table. How many trips do you expect from this neighborhood?arrow_forwardA 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)arrow_forward
- 8.5 If small express buses leave the origin described in Example 8.5 and all are filled to their capacity of 20 travelers, how many work-trip vehicles leave from origin to destination in Example 8.5 during the peak hour?arrow_forwardA household has 17 members and an annual income of P20,000. They currently live in a neighborhood with 550 retail employees, but are moving to a new home in a neighborhood with 150 retail employees. Calculate the additional vehicle-based peak- hour shopping trips the household makes before and after the move. Use: Vehicle-based Shopping Trips = 0.12 + 0.09HS + 0.011AHI - 0.15EH HS - household size AHI - annual household income in thousand pesos EH - employment in household's neighborhood in hundreds Note: use two decimal placesarrow_forwardA 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) Round off final answers to whole number.arrow_forward
- pls answer wt complete solution. Let the number of trips from i to j is 5000, and three modes are available which has the characteristics given below. Compute the trips made by the three modes and the fare required to travel by each mode.arrow_forwardThe present trip ends and travel time matrix between the zones are shown in Tables 6.75 and 6.76, respectively. Travel impendance factor between the zones may be assumed to be e-ti. The socio-economic adjustment factors between the zones may be assumed to one. Calculate the trip interchanges between the zones by using the gravity model. TABLE 6.75 Zones Trips produced Trips attracted 1 2 3 2500 3300 3200 TABLE 6.76 1 2 3 1-15 20 2 15 10 3 20 10 I 3000 4000 2000arrow_forwardA separate trip generation analysis has predicted 800 peak-hour trips for grocery shopping in this area. Given two possible stores, distribute these trips among stores and auto or bus mode.arrow_forward
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