USE THE INFORMATION BELOW TO ANSWER ALL THAT QUESTIONS THAT FOLLOW.A large residential area has 1650 households with an average household income of $50,000,an average household size of 5 and, on average, 2 working members. Using the modeldescribed in Example 8.2 (assuming it was estimated using zonal averages instead ofindividual households), predict the change in the number of peak-hour social/recreationaltrips if employment in the area increases by 20% and household income by 5%.What is the number of non-working members in the household?What is the number of working members if employment in the area increases by 20%?Answer to the nearest ONE decimal (do not round up!)What is the number of peak-hour social/recreational trips before the change? Answer in trips.WHOLE number. What is the number of peak-hour social/recreational trips after the change? Answer in trips,round to nearest TWO decimals.What is the change in the number of peak-hour social/recreational trips if employment in thearea increases by 20% and household income by 5%? Answer in trips, round to nearest TWOdecimals and be careful of the sign.

Step 1: Step 2: Step 3: Step 4: Step 5:

Answered: USE THE INFORMATION BELOW TO ANSWER ALL…

Traffic and Highway Engineering

5th Edition

ISBN:9781305156241

Author:Garber, Nicholas J.

Publisher:Garber, Nicholas J.

Chapter12: Forecasting Travel Demand

Section: Chapter Questions

Problem 22P

See similar textbooks

Similar questions

The Jeffersonville Transportation Study Area has been divided into four large districts (traffic zones). The following data have been collected for those districts. Provide a trip distribution calculation using the gravity model for two Assume Kij = 1.
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)
Problem 2 - Use of multi-nomial logit model for estimation of modal split Use a logit model to determine the probabilities of a group of 5000 work commuters choosing between three modes of travel during the morning peak hour, including Privite car, Bus and Light rail If 1450 commuters travel by bus, 950 commuters taking light rail, determine the travel time of driving private cars (T). The utility functions for the three modes are estimated using the following equations: Uc = 2.4 – 0.4C – 0.05 T Ug = 1.4 – 0.4C – 0.05T ULR= 0.4 – 0.4C– 0.05T where C = cost (£) T= travel time (minutes) For all workers: • The cost of driving is £6.00 with a travel time of T minutes • The bus fare is £2.50 with a travel time of 50 minutes The rail fare is £2.80 with a travel time of 35 minutes. where P = probability that mode m is chosen m' = index over all modes included in chosen set
Q1. Develop statistical model to predict number of trips using regression analysis technique. Number of workers (X) Number of trips(Y) 2 6 4 8 7 10 7 11
Consider the Poisson trip generation model in Example 8.4.Suppose that a household has five members with an annual income of $150,000 and lies in a neighborhood with a retail employment of 320. What is the expected number of peak-hour shopping trips, and what is the probability that the household will make more than one peak-hour shopping trip?
4. The number of trips generated by each household h (Yh) in Zone A is given by the following household-level regression model: Yh=2.5+1.5 X₁ + 1.2 X2+ 1.0 X3....where, X₁ =Number of Adults (per household). X2 =Number of Cars in the household. X3 =Income in Thousands ($). a. What is the minimum number of trips made by a household based on the equation? b. For a zone labeled “A”, Table 1 provides total number of households classified by household size and number of cars. It is given that the average household income in this Zone is $55K. Compute the number of trips produced from this zone. Table 1: Household Composition for Zone A Number of cars Person per household per household 1 2 3 0 100 200 150 1 300 500 210 2 150 100 60
A study area consists of three zones. The data have been determined as shown in the following tables. Zone Productions and Attractions Zone 1 2 3 Total Trip Productions 140 330 280 750 Trip Attractions 300 270 180 750 Travel Time between zones (min) Zone 1 3 1 5 3 2 3 3 5 Travel Time versus Friction Factor Time (min) F 1 82 2 52 3 50 4 41 5 39 6 26 7 20 8 12 Determine the number of trips between each zone using the gravity model. Show all steps in the calculation of friction factors and iterations for balancing attractions and productions. 6.
The following table shows the the data collected from a household survey for 3 zones A, B and C. Zone Income No. of Households No of Residents No of Workers A Low B Low C High 10,000 20,000 40,000 2.0 3.0 2.5 Assume that household trip generation model was estimated using a linear regression model as follows Number of workers 1 or less 2 or more Where Trip rate = no. of trips per household for a given zone NWORK = no. of workers per household INC = a dummy variable for income level (1 = high, 0 = low) 1.0 2.0 2.0 Trip rate=0.2 + 0.5 xNWORK + 1.1× INC Assume also that a crossing classification model was developed, which classified households based on household income (low and high) and number of workers in household (1 or less and 2 or more workers per household). The trip rates are shown as follows Low 0.8 1.2 Income High 1.0 2.3 (a) Calculate number of trips for Zone B using the linear regression model (b) Calculate number of trips for Zone B using cross-classification model (c)…
Use the singly constraint growth factor model to calculate the projected trips in Cell (1,2) for the following observed trip table and forecast trip ends. Zone 1 0 Zone 2 200 Zone 3 30 O 54 O 36 O Zone 1 Zone 2 Zone 3 O 20 90 20 40 30 40 Forecast Trip Ends 90 90 140
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.
A town in Canada has been divided into three traffic zones. An origin-destination survey was conducted earlier this yearand yielded the number of trips between each zone as shown in the table below. Travel times between zones were alsodetermined. Provide a trip distribution calculation using the gravity model for two iterations. Assume Kij= 1.
I 100 3 25 300 1 Current Year IV 50 75 25 200 Future Year T[I] T[I] 250 4 400 2 150 III = 300 = 1000 T [III] = 800 T [IV] = 300 Distribute the trips for inter zonal movement based on Uniform Growth Factor Method and Detroit Method. Compare the iteration number & give your conclusion.

SEE MORE QUESTIONS

Recommended textbooks for you

Traffic and Highway Engineering

Civil Engineering

ISBN:

9781305156241

Author:

Garber, Nicholas J.

Publisher:

Cengage Learning

Traffic and Highway Engineering

Civil Engineering

ISBN:

9781305156241

Author:

Garber, Nicholas J.

Publisher:

Cengage Learning

SEE MORE TEXTBOOKS