Q1. The following is the number of trips and the number of households by the number of persons per household and the level of household income in a given zone. Persons/hh 1 2 3 4 5 or above Low Persons/household 1 2 3 4 5 or more No. of hh Trip No. No. of hh 93 222 149 72 341 138 59 417 125 120 1010 109 13 107 37 Income Medium The forecasted number of households in the study area for a target year is shown below. Low 120 100 90 150 30 Trip No. 616 853 1025 1186 457 High No. of hh Trip No. 96 360 27 205 33 381 40 471 33 423 Income Medium 280 220 190 180 60 High 130 40 50 70 60 (a) Calculate the forecasted number of trips for each combination of the number of persons per household and the level of household income. (b) Alternatively, trip rate can be estimated using the following linear regression equation. Trip rate=0.46+ 1.96 × NPERSON + 1.66 x HINCOME Where NPERSON = no. of persons per household (= 5 for 5 or more persons in household); HINCOME = level of household income (= 0 for low income, = 1 for medium income, = 2 for high income) Calculate the forecasted number of trips for each household type using this estimated trip rate. (c) Compare the assumptions and limitations of each method.
Q1. The following is the number of trips and the number of households by the number of persons per household and the level of household income in a given zone. Persons/hh 1 2 3 4 5 or above Low Persons/household 1 2 3 4 5 or more No. of hh Trip No. No. of hh 93 222 149 72 341 138 59 417 125 120 1010 109 13 107 37 Income Medium The forecasted number of households in the study area for a target year is shown below. Low 120 100 90 150 30 Trip No. 616 853 1025 1186 457 High No. of hh Trip No. 96 360 27 205 33 381 40 471 33 423 Income Medium 280 220 190 180 60 High 130 40 50 70 60 (a) Calculate the forecasted number of trips for each combination of the number of persons per household and the level of household income. (b) Alternatively, trip rate can be estimated using the following linear regression equation. Trip rate=0.46+ 1.96 × NPERSON + 1.66 x HINCOME Where NPERSON = no. of persons per household (= 5 for 5 or more persons in household); HINCOME = level of household income (= 0 for low income, = 1 for medium income, = 2 for high income) Calculate the forecasted number of trips for each household type using this estimated trip rate. (c) Compare the assumptions and limitations of each method.
Chapter2: Loads On Structures
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:Q1. The following is the number of trips and the number of households by the number of persons per
household and the level of household income in a given zone.
Persons/hh
1
2
3
4
5 or above
Low
Persons/household
1
2
3
4
5 or more
No. of hh Trip No. No. of hh
93
222
149
72
341
138
59
417
125
120
1010
109
13
107
37
Income
Medium
The forecasted number of households in the study area for a target year is shown below.
Low
120
100
90
150
30
Trip No.
616
853
1025
1186
457
High
No. of hh Trip No.
96
360
27
205
33
381
40
471
33
423
Income
Medium
280
220
190
180
60
High
130
40
50
70
60
(a) Calculate the forecasted number of trips for each combination of the number of persons per household
and the level of household income.
(b) Alternatively, trip rate can be estimated using the following linear regression equation.
Trip rate=0.46+ 1.96 × NPERSON + 1.66 x HINCOME
Where
NPERSON = no. of persons per household (= 5 for 5 or more persons in household);
HINCOME = level of household income (= 0 for low income, = 1 for medium income, = 2 for high
income)
Calculate the forecasted number of trips for each household type using this estimated trip rate.
(c) Compare the assumptions and limitations of each method.
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