6 alternative demand models
TRANSCRIPT
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Alternative demandmodels
CIVL1011/CIVL2111Transportation Engineering
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Trip interchangeusage model
Trip end model
Trip distribution
Trip generation
Modal choice
Trip assignment
Modal choice
Trip generation
Trip distribution
Trip assignment
Alternative demandforecasting model structure 1
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4.11d
(mode)
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Alternative demandforecasting model structure 2
Trip distribution
Trip generation
Modal choice
Trip assignment
Trip generationand
mode choice
Trip distribution
Trip assignment
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Trip interchange usage model
Trip distribution
Trip generation
Modal choice
Trip assignment
This approachfacilitates theinclusion of the
characteristics ofthe journey andthose of thealternatives modes
Trip ends
Trips-by-destination
Trips-by-mode-by-destination
Trip interchangeusage model
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Trip generationand
mode choice
Trip distribution
Trip assignment
Direct generation usage model
This approach is appropriate to
smaller urban areas withoutmajor transit service.
trips-by-mode
Trips-by-mode-by-destination
Direct generation
usage model
No indicationto where thosetrips might go.
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Combined trip generation andmode choice models
a. Cross-classification model
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Combined trip generation andmode choice models
b. Regression models Connecting trips-by-modeto population (POP), income
(INC), and automobiles (AUTO):
Mainly consider characteristics of trip makers. Can the model
capture trip length? capture fare of bus? Use to study fare reduction policy?
AUTOCPOPBAautoT
INCCPOPBAtransitT
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Mode anddestination
choices
Trip generation
Trip assignment
Trip distribution
Trip generation
Modal choice
Trip assignment
Alternative demandforecasting model structure 3
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Combined mode anddestination choice model
Multinomial Logit model
Example: utility function in Logit model
Vmd = Bo BTT + BAAwhere
Vmd = utility of an individual for selecting for the
combination of mode m and destination dT = travel time in minutes
A = commercial floor area in thousand ft2
BA, BT = positive parameters
,
md
ns
V
md V
n s
eP
e
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Example
Ajoint shopping-trip mode-destination choice logit model is estimated,giving the following coefficient:
a. determine the distribution of trips by destination and mode.
variable Auto coefficient Bus coefficient
Auto constant 0.6 0Travel time in minutes -0.3 -0.3
Commercial floor space (in
thousand of m2)
0.12 0.12
R
2
1Residential,1000 trips
Shopping area=25000 m2
8 min
10 min
14 min
20 min
Shopping area
=40000 m2
bus
car
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Example solution
a. Let Vmdbe the utility of going to shopping center d via mode m
1
1
2
2
0.6 0.3 8 0.12 25 1.2
0.3 14 0.12 25 1.2
0.6 0.3 10 0.12 40 2.4
0.3 20 0.12 40 1.2
A
B
A
B
V
V
V
V
m d Vmd Pmd Trips by m to shopping center d
Car 1 1.20 3.32 0.222 222bus 1 -1.20 0.30 0.020 20
Car 2 2.40 11.02 0.738 738
bus 2 -1.20 0.30 0.020 20
sum 14.95 1.000 1000
mdVe
-md o T AV B B T B A
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Example
To attract as many total trips as it did before the congestion,
how much commercial floor space must be added toshopping center 2?
R
2
1Residential,1000 trips
Shopping area= 25000 m2
8 min
10 + 4 min
14 min
20 + 4 min Shopping area= 40000 + ? m2
bus
Car
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Example
Solution
Let x be the increase in floor space.
To attract as many total trips as it did before the congestion, theproportions and hence the utilities of all modes to center 2 must be thesame as those before the congestion. Hence
x=10
Therefore, a commercial floor space of 10000 m2 must be added.
2
2
0.6 0.3 10 4 0.12 40 2.4,and
0.3 20 4 0.12 40 1.2
A
B
V x
V x
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Trip distribution
Trip generation
Modal choice
Trip assignment
Alternative demandforecasting model structure 4
Direct demand
Trip assignment
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Direct demand model example 1
4 6 8
2 3 5 7 91
0
between zonestravel volum and via mode
of zone ( )
between zon
landuse v
least c
pop
ost
ariaulation b
e
e
e
l
a a a
a a a a aa ijk ijk ijk
ijk i j ij ij ij ijij ij ij
ijk
i
ij
C H D
T a P P C H D Y C H D
T i j k
P i
C
s andbetween zones and via mode
between zone
travel time
s and
between zones and via mode
be
shortest travel tim
departure frequency of most frequency t
co
mod
s
e
e
e w
tijk
ij
ijk
ij
i jC i j k
H i j
H i j k
D
en zones and
between zones and via m
weighted average inc
d
o
ode
of and ( )
param
socioeconomic variablm
eparture fr
e
equency
s
t
e
er
e
ijk
ij
l
i j
D i j k
Y i j
a l
interzonal
impedence
variables
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4 6 8
2 3 5 7 9
4 6 8
2 3 5 71 9
1
0
0
1
1
a a aa a a a aijk ijk ijk
j ij ij ij ij
ij ij ij
a a a
a a a a aijk ijk ijk
j ij ij ij ijij ij ij
ijk i
i ijk
ii
i
a
a
T Pe
P T
P
P
C H DP C H D Y
C H D
C H DP C H D Y
aa
aH
P
C D
Example
Determine the elasticity of demand with respect to population i,
of the direct demand model
Solution
4 6 8
2 3 5 7 91
0
a a a
a a a a aa ijk ijk ijk
ijk i j ij ij ij ij
ij ij ij
C H DT a P P C H D Y
C H D
The exponent!
ijk i
i ijk
T Pe
P T
1a
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Example Using the direct demand model shown before to determine the
percentage change in the patronage of mode k serving between zone iand j if the travel time between zone i and j by mode k is reduced by20%. Assume a6=-2
Solution Let beforeand afterbe the subscripts before and after reduction
respectively.
Let also
4 6 8
2 3 5 7 91
0
1a a a
a a a a aa ijk ijk
i j ij ij ij ij
ij ij ij
C Da P P C H D Y
C H D
, , ,(1 0.2) 0.8ijk after ijk before ijk beforeH H H
, , ,
, ,
100% 1 100%ijk after ijk before ijk after
ijk before ijk before
T T T
T T
= 56.25% increase
2
,,
2
, ,
after ijk after ijk after
ijk before before ijk before
HTT H
20.8 1.56251
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Direct demand model example 2
peak
Destination 1
Off-peak
Choice
No tripTrip
Mode 1
Destination N
Mode KMode 1 Mode K
Destination 1
Mode 1
Destination N
Mode KMode 1 Mode K
How many levels?How many nests?
How many choices?
A combined trip-generation, time-of-day, destinationand mode choicenested logit model
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Direct demand model -example 3
Elastic demand model
TAC: travel time
VAC: travel demand
248 4AC AC
T v
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Demand supply equilibrium
At demand-supply equilibrium, the travel time spent byeach traveler is equal to the travel time provided by thenetwork.
Travel timebetween originand destination
Traveldemand
Supply
functionDemandfunction
Equilibriumtravel time
Equilibrium demand
Direct demand
Trip assignment
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Example
Given the network and performance functions below, find the
equilibrium travel demand and travel times if the demand function is
.
Solution
8 6 248 4AC ACv v
8 6 24 152ACT
A B C
Link 1:T1= 4 + 2v1
Link2:T2 = 4 +4 v2
(Demand = supply)
8
TAC
vAC
152
24
6
248 4AC ACT v
8 6AC ACT v
248 4AC ACT v
1 2 1 24 2 4 4
8 6
AC
AC
T T T v v
v
1 2ACv v v
1 1
2 2
4 2 4 2(24) 52
4 4 4 4(24) 100
T v
T v
1 210 240 24AC ACv v v v
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Trip distribution
Trip generation
Modal choice
Trip assignment
Alternative demandforecasting model structure 5
Trip distribution
Trip generation
Modal choice
Trip assignment