Assignment No 3- CVL 910- F23
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Toronto Metropolitan University *
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Course
910
Subject
Civil Engineering
Date
Jan 9, 2024
Type
Pages
3
Uploaded by AgentNightingalePerson973
Faculty of Engineering, Architecture and Science
Department of Civil Engineering
CVL910 – Transport Planning
Assignment #3
: Mode Choice Modelling
Due date: Friday November
3
, 202
3
at 11:59 PM
The purpose of this assignment is to estimate a mode choice model of mode preferences using a Logit
model.
The dataset consists of a sample of trips collected from the TTS11 travel survey in the Greater
Toronto and Hamilton Area (GTHA). The data provided contains information on the selected mode of
travel and a set of socio-economic attributes of each trip. The table below explains each column in the
data
Table 1: ‘
tts11_tp3.csv’
Column Name
Data Type
Description values
row
Serial
Row index
choice
Mode choice values
1: Public Transit (bus or subway)
2: Bicycle
3: Car
4: GO Transit
gender
binary
1: Female, -1: Male, 0: Unknown/Not specified
driver_lic
binary
1: user has driving licence, -1: no driving licence 0: Unknown
pass_ttc
binary
1: user has TTC pass, -1: no TTC pass, 0: Unknown
pass_go
binary
1: user has GO pass, -1 no GO pass, 0: Unknown
emp_ft
binary
1: full-time worker, -1: part-time worker, 0: Unknown/unemployed
student
binary
1: full-time student, -1: part-time student, 0: Unknown/not a student
free_park
binary
1: user has free parking at work/school, -1: no free parking,
0: Unknown/not applicable
trip_type
binary
1: home-based trip, -1: non-home-based trip, 0: Unknown/other
trip_purp
categorical
Purpose of trip
1: Home, 2: School, 3: Work, 4: Leisure/shopping
5: Other, 0: Unknown
trip_dest_pd
categorical
Trip destination zone
1: Toronto Downtown Core, 2: Rest of South Toronto,
3: York, 4: East York, 5: North York, 6: Etobicoke
7: Scarborough, 8: Rest of GTHA, 0: Unknown
trip_km
scale
Trip journey distance (km)
Using BIOGEME software, develop a multinomial logit model for
mode choice
given this dataset. A
skeleton code is provided to guide you in starting your code. Your submission on D2L must include:
1.
One written report (12-page max) in .doc/.docx or .pdf format which includes:
a)
Signed report cover page
https://www.ryerson.ca/civil/forms-resources/
b)
BIOGEME estimation results for your final model specification (beta values, standard error,
statistical significance, final log-likelihood, rho-square value) [3 marks]
c)
A discussion on these results (800 words max) [3 marks]
d)
Compare the differences and advantages of using a discrete choice model over a linear
regression model? [2 marks]
e)
Describe the process which your final model was obtained (variable selection, preliminary
models, rejected parameters, etc.) [5 marks]
f)
Any additional variables that you would like to have included in the model that may
improve it. [1 mark]
[Total 14 marks]
2.
One working script/code (with comments explaining your logic)
[6 marks]
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Related Questions
The following cross-classification data have been developed for a European city transportation
study area.
House Hold (HH) Autos/HH (%) Trip Rate/Auto
(%)
Income
Trips (%)
($)
High Med Low O1+2 0 1 +2 HBW HBO NHB
10,000 0 30 70 48 48 4 2.0 6.00 28.5 38
34
28
50 | 4 72| 24 2.5 7.5 30.0 38
2 53 45
20,000
30,000
40,000
50,000 50 50 00 19 81 7.5 12.0 39.0 20
50
34
28
10 70
20
4.0
9.0
33.0
35
34
31
20
75
5 1 32 57 5.5 10.5 36.0 27
35
38
37
60,000 70 30
43
40
0010 90 8.0 13.0 41.0 16
44
Develop the family of cross-classification curves and determine the number of trips produced (by
purpose) for traffic zone containing 1000 houses with an average household income of $30,000.
(Use high = 55,000; medium 25,000; low = 15,000.)
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The results of the travel time study are summarized in the following table. For this data:
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b. Show the average travel speed and average running speed for each section.
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Given 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 above
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Consider the following plot of cumulative arriving and departing vehicles at a freeway bottleneck location:
Vehicles
20,000
15,000
10,000
5,000
0
0
30 60 90 120 150 180 210 240 270 300 330 360
Time (mins)
Arrivals (vehs) Departures (vehs)
From this plot, determine the following:
A. What is the capacity of the bottleneck location? 9000
whole number, i.e. X000.)
B. What is the maximum size of the queue that develops? 3250
whole number, i.e. X000.)
C. What is the longest wait time that any vehicle experiences during the breakdown?
to the nearest whole number, i.e. XX.)
(Hint: Provide the answer as a numerical number only in units of vehicles per hour and rounded to the nearest thousand
(Hint: Provide the answer as a numerical number only in units of vehicles and rounded to the nearest thousand
(Hint: Provide the answer as a numerical number only in units of minutes and rounded
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hour is given by the following trip generation model: Q = 500 + 5.0(class) + 0.05(students) where Q is the total number of trips during the peak hour, class is the number of classes taught between 8-9 AM, and students is the number of students on campus. It was further estimated that there are 80 classes taught on campus between 8-9 AM and the student population is 15,000. Furthermore, these trips were accomplished by three modes: auto, Unitrans, and bicycles, whose shares are determined by the following multinomial logit choice model: Um = βm − 0.50C − 0.02T where C is out-of-pocket cost (dollars) and T is travel time (minutes). Values of βm are: Auto : 4.50 U nitrans : 3.0 Bicycle : 2.50 Suppose that the cost of an auto trip, which takes 8 minutes, is $5.50 (includes parking); Unitrans, which takes 25 minutes, costs $1.00; bicycle trips take 12 minutes and cost $0.50 per trip.
(a)…
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It was estimated that the number of trips between north Davis and the campus during the 8-9 AM peak hour is given by the following trip generation model:
Q = 500 +5.0(class) +0.05(students)
where Q is the total number of trips during the peak hour, class is the number of classes taught between 8-9 AM, and students is the number of students on campus. It was further estimated that there are 80 classes taught on campus between 8-9 AM and the student population is 15,000. Furthermore, these trips were accomplished by three modes: auto, Unitrans, and bicycles, whose shares are determined by the following multinomial logit choice model:
Um
= Bm
0.50C
0.02T
where C is out-of-pocket cost (dollars) and T is travel time (minutes). Values of ẞm are:
Auto: 4.50
Unitrans: 3.0
Bicycle: 2.50
Suppose that the cost of an auto trip, which takes 8 minutes, is $5.50 (includes parking); Unitrans, which takes 25 minutes, costs $1.00; bicycle trips take 12 minutes and cost $0.50 per trip.
(a) Compute the…
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Subject: ( Transportation planning and engineering )
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H
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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);
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5:46 5 O p •
REUBEN TIGO
Yesterday, 1:25 PM
a) The details of travel time and capacity of different links in a portion of Accra
road network is as given in the table below. Assign a traffic volume of 30,000
pcu/hr from Weija SCC to Accra Central by multiple route assignment
technique. It is to be noted that routes with travel time less than 1.2 times
the travel time by the shortest route alone will be considered as alternative
routes for travel.
Link
Travel time in
Practical link
minutes
capacity in
pcu/hr
Weija SCC - Mallam Jn
Mallam Jn - Kaneshie
Mallam Jn - Dansoman
25
35000
15
20000
10
15000
Kaneshie - Graphic Road
10
20000
Kaneshie - Circle
15
20000
Circle - Accra Central
8
20000
Dansoman - Agbogbloshie
30
15000
Graphic Road - Accra
15
20000
Central
Agbogbloshie – Accra
15
20000
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choose one of the following
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the average weekley traffic
the average daily traffic
none of the given choices
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given the data:
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Trip Attraction of Zones 1, 2 and 3, correspondingly are 600, 700 and 600 tpd
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obtained from a survey. Apply the license
plate matching method to estimate the
average travel time.
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None
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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…
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8.11 A total of 725 auto-mode social/recreational
trips are made from an origin (residential area)
during the peak hour. A logit model estimation is
made, and three factors were found to influence the
destination choice: (1) population at the destination,
in thousands (coefficient = 0.17); (2) distance from
origin to destination, in miles (coefficient = -0.23);
and (3) square feet of amusement floor space (movie
theaters, video game centers, etc.), in thousands
(coefficient = 0.10). Four possible destinations have
the following characteristics:
Distance
from
Amusement
Population origin
(thousands) (mi) (thousands of ft²)
space
Destination 1 15.5
7.5
5
Destination 2
6.0
5
10
Destination 3 0.8
2
8
Destination 4
5.0
7
15
Determine the distribution of trips among possible
destinations.
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Given 1000 trips, how many trips should be assigned to route 4 using the constant assignment ratio?
Route
Time in hours
1
1
2
1.5
3
2
4
2.5
5
3
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Zone 1
Zone 2
Zone 3
Initial travel time factors are
Production
Travel time (min)
Fij
500
600
200
Distances (time):
1-2: 10 min
2-3: 15 min
3-1: 20 min
Distribute the trips using the gravity model.
10
80
Attraction
15
60
400
800
100
20
40
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Related Questions
- The following cross-classification data have been developed for a European city transportation study area. House Hold (HH) Autos/HH (%) Trip Rate/Auto (%) Income Trips (%) ($) High Med Low O1+2 0 1 +2 HBW HBO NHB 10,000 0 30 70 48 48 4 2.0 6.00 28.5 38 34 28 50 | 4 72| 24 2.5 7.5 30.0 38 2 53 45 20,000 30,000 40,000 50,000 50 50 00 19 81 7.5 12.0 39.0 20 50 34 28 10 70 20 4.0 9.0 33.0 35 34 31 20 75 5 1 32 57 5.5 10.5 36.0 27 35 38 37 60,000 70 30 43 40 0010 90 8.0 13.0 41.0 16 44 Develop the family of cross-classification curves and determine the number of trips produced (by purpose) for traffic zone containing 1000 houses with an average household income of $30,000. (Use high = 55,000; medium 25,000; low = 15,000.)arrow_forwardA mode choice logit model is to be developed based on the following information. A surveyof travellers in an area with bus service found the following data:Model Parameter Auto BusX1, waiting time (min.) 0 10X2, travel time (min.) 20 35X3, parking time (min.) 5 0X4, out-of-pocket cost (cents) 225 100Ak, calibration constant _0.33 _0.27The following utility functions were calibrated based on an observed mode split of 84.9%private auto use and 15.1% bus use.Utility function: Uk = Ak -- 0.10 X1 - 0.13 X2 - 0.12 X3 - 0.0045 X4After implementing service improvements to the buses, the mode split changed to 81.6%private auto use and 18.4% bus use. Determine a value for the calibration constant for the busmode that reflects this shift in mode split.arrow_forwardThe results of the travel time study are summarized in the following table. For this data: a. Tabulate and graphically present travel time and delay results. b. Show the average travel speed and average running speed for each section.arrow_forward
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- ANSWER WITH SOLUTIONS AND TYPEWRITTEN PLEASEarrow_forwardConsider the following plot of cumulative arriving and departing vehicles at a freeway bottleneck location: Vehicles 20,000 15,000 10,000 5,000 0 0 30 60 90 120 150 180 210 240 270 300 330 360 Time (mins) Arrivals (vehs) Departures (vehs) From this plot, determine the following: A. What is the capacity of the bottleneck location? 9000 whole number, i.e. X000.) B. What is the maximum size of the queue that develops? 3250 whole number, i.e. X000.) C. What is the longest wait time that any vehicle experiences during the breakdown? to the nearest whole number, i.e. XX.) (Hint: Provide the answer as a numerical number only in units of vehicles per hour and rounded to the nearest thousand (Hint: Provide the answer as a numerical number only in units of vehicles and rounded to the nearest thousand (Hint: Provide the answer as a numerical number only in units of minutes and roundedarrow_forwardIt was estimated that the number of trips between north Davis and the campus during the 8-9 AM peak hour is given by the following trip generation model: Q = 500 + 5.0(class) + 0.05(students) where Q is the total number of trips during the peak hour, class is the number of classes taught between 8-9 AM, and students is the number of students on campus. It was further estimated that there are 80 classes taught on campus between 8-9 AM and the student population is 15,000. Furthermore, these trips were accomplished by three modes: auto, Unitrans, and bicycles, whose shares are determined by the following multinomial logit choice model: Um = βm − 0.50C − 0.02T where C is out-of-pocket cost (dollars) and T is travel time (minutes). Values of βm are: Auto : 4.50 U nitrans : 3.0 Bicycle : 2.50 Suppose that the cost of an auto trip, which takes 8 minutes, is $5.50 (includes parking); Unitrans, which takes 25 minutes, costs $1.00; bicycle trips take 12 minutes and cost $0.50 per trip. (a)…arrow_forward
- It was estimated that the number of trips between north Davis and the campus during the 8-9 AM peak hour is given by the following trip generation model: Q = 500 +5.0(class) +0.05(students) where Q is the total number of trips during the peak hour, class is the number of classes taught between 8-9 AM, and students is the number of students on campus. It was further estimated that there are 80 classes taught on campus between 8-9 AM and the student population is 15,000. Furthermore, these trips were accomplished by three modes: auto, Unitrans, and bicycles, whose shares are determined by the following multinomial logit choice model: Um = Bm 0.50C 0.02T where C is out-of-pocket cost (dollars) and T is travel time (minutes). Values of ẞm are: Auto: 4.50 Unitrans: 3.0 Bicycle: 2.50 Suppose that the cost of an auto trip, which takes 8 minutes, is $5.50 (includes parking); Unitrans, which takes 25 minutes, costs $1.00; bicycle trips take 12 minutes and cost $0.50 per trip. (a) Compute the…arrow_forwardSubject: ( Transportation planning and engineering )arrow_forwardHarrow_forward
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