6 alternative demand models

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    Alternative demandmodels

    CIVL1011/CIVL2111Transportation Engineering

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    222

    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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    333

    4.11d

    (mode)

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    444

    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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    555

    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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    666

    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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    777

    Combined trip generation andmode choice models

    a. Cross-classification model

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    888

    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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    999

    Mode anddestination

    choices

    Trip generation

    Trip assignment

    Trip distribution

    Trip generation

    Modal choice

    Trip assignment

    Alternative demandforecasting model structure 3

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    101010

    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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    111111

    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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    121212

    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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    131313

    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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    141414

    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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    151515

    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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    171717

    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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    181818

    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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    191919

    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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    232323

    Trip distribution

    Trip generation

    Modal choice

    Trip assignment

    Alternative demandforecasting model structure 5

    Trip distribution

    Trip generation

    Modal choice

    Trip assignment