Question 1 (40%). Use standard travel demand forecasting techniques to forecast how many trips will occur between cities

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Question 1 40 Use Standard Travel Demand Forecasting Techniques To Forecast How Many Trips Will Occur Between Cities 1 (75.9 KiB) Viewed 42 times

Question 1 (40%). Use standard travel demand forecasting techniques to forecast how many trips will occur between cities 2 and 3 in North Zirconia, to be built in 2045, given the following: • The client notes that the only reason people ever travel is to go to work from home or to go home from work. There is one person per household and there are no external trips. The client's staff produced both statements below, but the client asserts that statement A is more important than statement B: A. We believe that travel within any city will be half as difficult as travel between any pair of cities. For instance, travel from a location in city 1 to a location in city 1 will be just as easy as travel from a location in city 3 to another location in city 3, and such travel will be half as difficult as travel between cities 2 and 3. Travel will not be constrained by capacity. B. Presently, when one counts the number of vehicles entering and exiting a business in existing South Zirconia, this number is influenced heavily by the size of the business; a regression model of the form “Trip Ends = 0.151 * (Gross Floor Area)” explains almost all of the variation. • The client has confidence in Table 1 and the three left columns of Table 2. However, for the rightmost column in Table 2, staff caution that "We have more faith in everything else than we do in this last column because it is based on difficult-to-verify private forecasts." Table 2. Forecast Information for Future North Zirconia Percent Households Gross Floor House- That are Area of holds Low Income Establishments 1 5,000 25% 250,000 2 3,400 75% 700,000 3 1,800 50% 1,000,000 Hint: think of these cities as zones Table 1. Travel Survey Data from Existing South Zirconia Number Daily Vehicle Trip of Type of Ends (leaving or Town households Household arriving home) °1 950 Low Income 8265 2 220 High Income 2354 3 740 Low Income 6438 4 170 Low Income 1479 5 760 Low Income 6612 6 870 High Income 9309 7 650 High Income 6955 8 400 High Income 4280 9 170 Low Income 1479 10 800 High Income 8560 Example: All people who live in Town 1 are low-income. Those residents live in 950 households and generated a total of 8,265 City Hint: Think of South Zirconia as providing you some underlying data useful for rates o