FSM Webinar v3

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Dr Ian Espada Team Leader – Network Operations Ph: +61 3 9881 1685 [email protected] Overview of the four-step transport demand model

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webinar on 4 step modelling

Transcript of FSM Webinar v3

  • Dr Ian Espada Team Leader Network Operations

    Ph: +61 3 9881 1685 [email protected]

    Overview of the four-step transport demand model

  • Housekeeping

    The duration of this webinar is {one hour}. The presentation will be {40} minutes, and {20} minutes is allocated for questions.

    All participants will be emailed a PDF copy of the presentation at the conclusion of the webinar.

  • Go To Webinar functions

    You can ask questions at any time by typing them in the question box, I will answer them in the question time at the end of the presentation

  • Content

    What is it?

    Scope and limitations?

  • 5

    Analysis of strategies

    Future urban form Future transport

    network

    Present urban form Present transport

    network Future socio-economic

    framework Population Economy

    Transport demand model

    Performance indicators

    Accessibility Travel time and cost Environmental and social impacts Safety

    Transport strategies Urban development strategy

  • Port of Hai Phong & Cai Lan

    6

    -

    5,000

    10,000

    15,000

    20,000

    25,000

    30,000

    35,000

    1995 2000 2005 2010 2015 2020 2025

    all

    ca

    rgo

    (0

    00

    MT

    )

    -

    500

    1,000

    1,500

    2,000

    2,500

    3,000

    3,500

    co

    nta

    ine

    rize

    d c

    arg

    o (

    00

    0 T

    EU

    )

    All (recorded)

    All (High)

    All (Mid)

    All (Low)

    Container (recorded)

    Container (High)

    Container (Mid)

    Container (Low)

    All cargo

    Containerized cargo

    Projected Port Traffic at Hai Phong and Cai Lan NRCTSS (ALMEC 2007)

  • What is a Transport Model?

    Equations representing the choice made by individuals when they travel

    Transport models have two defining features

    Form: assumptions of behaviour and policy sensitive

    Parameters: calibrated from data

    e.g. Y = + X

    Model form and calibrated parameters are assumed to be valid in the future

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  • Menu of modelling techniques

    Analytical Simulation

    Macro-model Micro-model Macrosimulation Microsimulation

    Average delay

    Approach flow

    EMME, CUBE,

    VISUM,

    ARRBTraffic, etc.

    SIDRA, Austroads

    GTM, etc. TRANSYT,

    SATURN, etc. Q-PARAMICS,

    AIMSUN, VISSIM, etc.

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  • Trip purposes

    Origin base Home-based

    Non-home based

    Commonly used classification of trip purpose Go home

    Work

    School

    Shopping & recreation

    Others

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  • Demand modeling approaches

    Home Shop Work Lunch

    Home Shop Work

    Lunch Work

    Lunch Work

    Work Home

    Home

    Home Shop

    Activity-based

    Trip-based (FSM)

    Home Work Lunch Home Shop

    Tour-based models

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  • Structure of a FSM

    Future socio-economic framework

    Generation/attraction

    Distribution

    Mode choice

    Route choice

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  • Trip generation/attraction

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  • Trip distribution

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    Source: MMUTIS, JICA 1999

  • Mode split

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    Stopher and Meyburg (1975)

  • Route choice

  • Multiple trip purposes FSM for one period

    G/A

    OD

    Split

    G/A

    OD

    Split

    G/A

    OD

    Split

    Car OD Transit OD

    Highway assignment

    Transit assignment

    Work Shop Etc.

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  • Trip End and Trip Interchange

    Generation/attraction by mode

    Distribution

    Route choice

    Generation/attraction

    Distribution

    Mode choice

    Route choice

    Trip-end model Trip-interchange model

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  • Study periods

    All day model (24-h or 16-h model)

    Peak hour model

    Multi-period model

    Departure time choice

    Time dependent network assignment

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  • Perth ROM & STEM

    0 10 205 Kilometers0 10 205 Kilometers

    ROM 1146 zones STEM 472 zones

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  • Link-Node Network

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  • Victorian Integrated Survey of Travel and Activity

    http://www.transport.vic.gov.au/vista#Survey

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  • Limitations of a FSM

    No feedback with transportation plans

    Socio-economic framework does not change with transport plans

    Performance on predicting freight transport is still poor

    Intra-zonal trips are not satisfactorily modelled with implications to walking and cycling

    Trip chaining is not properly modelled

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  • Predict-and-provide?

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    Do-nothing network (2020) Proposed network (2020)

    Regional highway network in Northern Vietnam (HAIDEP, ALMEC, 2007)

  • Reality check

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    Source: Flyvbjerg, Holm and Buhl, 2006, Inaccuracy in traffic

    forecasts, Transport Reviews, Vol. 26, No. 1, pp 1-24.

    27 rail projects

    183 road projects Stated causes of inaccuracies

    27 rail projects 208 road projects

    Deliberately slanted forecast

  • Tolled roads forecast

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    PPP project Opening date Forecast daily

    traffic in first year

    Actual

    in 2010

    Clem7, Brisbane Mar 2010 94 706 28 061

    Lane Cove Tunnel, Sydney Mar 2007 100 000 63 530

    Cross City Tunnel, Sydney Aug 2005 70 000 35 000

    Westlink M7, Sydney Dec 2005 174 000 126 935

    EastLink, Melbourne Jun 2008 234 000 150 738

  • Thank you for your participation today.

    For further information on the topic, please contact:

    Ian Espada

    +61 3 9881 1685

    [email protected]

    www.arrb.com.au