Four Step Model - Transportation Engineering - Lecture Slides, Slides of Transportation Engineering

Some concept of Transportation Engineering are Basic Transportation Model, Classification of Urban Streets, Example of Shock Wave, Geometric Design of Highways, Route Choice, Trip Assignment, Time-Distance Diagrams. Main points of this lecture are: Four Step Model, Transportation Forecasting, Conventional Approach, Trip Generation, Trip Distribution, Mode Choice, Route Assignment, Traffic Analysis Zone, Traffic Generation, Generation Model, Developing Model

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2012/2013

Uploaded on 05/15/2013

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Transportation Forecasting
What is it?
Transportation Forecasting is used to estimate
the number of travelers or vehicles that will
use a given transportation facility in the future
The conventional approach to transportation
forecasting is based on what is commonly
know as the ‘four step model’
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Transportation Forecasting

What is it?

Transportation Forecasting is used to estimate

the number of travelers or vehicles that will

use a given transportation facility in the future

The conventional approach to transportation

forecasting is based on what is commonly

know as the ‘four step model’

The Four Step Model

• Trip Generation

Estimates the number of trips from given origins and

destinations

• Trip Distribution

Determines the destination for each trip from a given origin

• Mode Choice

Determines the mode choice for each trip

• Route Assignment

Determines the specific route for each trip

Developing and Using the Model

Calibrated Model Relating trip making to socio-economic and land use data

Estimated Target year socio-economic, land use data

Predicted Target year No. of Trips

Survey Base Year Socio-economic, land use And Trip making

Developing and Using the Model

The trip generation model typically can take the form of

No. of trips = Function (pop, income, auto ownership rates)

The model is developed and calibrated using BASE year data

Trip Purpose

Often separate predictions are mode for different type of trips since travel behavior depends on trip purpose

In other words different models must be developed for each trip type

The category of trip types commonly used include

  • Work trips
  • School trips
  • Shopping trips
  • Recreational trips

Example of a Trip Generation Model

One way of presenting the trip generation

model developed from a survey is as a

cross-classification table

Cross-classification Model

Total Home-Based-Non-Work Trip Rates

Persons per Household

Type of Area Vehicles per HH 1 2 , 3 4 5+

High Density 0 0.6 2.1 4.6 7.

1 1.5 3.0 5.5 7.

2+ 1.8 3.4 5.9 8.

Low Density 0 1.0 2.5 5.0 7.

1 1.9 3.5 6.0 8.

2+ 2.3 3.9 6.4 9.

Developing and Using the Model

Calibrated Model Relating trip making to socio-economic and land use data

Estimated Target year socio-economic, land use data

Survey Base Year Socio-economic, land use And Trip making

Developing and Using the Model

Calibrated Model Relating trip making to socio-economic and land use data

Estimated Target year socio-economic, land use data

Predicted Target year No. of Trips

Survey Base Year Socio-economic, land use And Trip making

Base Year Demographics

Number of Trips in Target Year for Each HH Type

Persons per Household

Type of Area Vehicles per HH 1 2,3 4 5+

High Density 0 60 420 460 700

1 300 900 1100 790

2+ 180 680 590 1660

Low Density 0 50 250 500 740

1 190 700 600 840

2+ 230 390 640 90

Number of Trips = trip rate*no. of HH = 0.6 * 100 = 60 Total trip = 13,

Sources of Uncertainties in Predicting Number of Trips

Significant errors can creep into the trip generation process

in another of places including

 The model development

 The Prediction of future demographics

 The use of the model for predicting the future

Modeling Land Use is one Major Source of Uncertainty

  • The modeling of the different types of land use and their

effect on travel pattern is usually relatively weak

  • Land use and transportation changes alter the

relationship between the number of trips and the socio-

economic factors. But the trip generation process

typically assume that this relationship is constant over

the period of the study

What is Predicted?

Trip generation models predict so called TRIP ENDS for each zone

The trip ends maybe classified as either

  • ORIGINS and DESTINATIONS (O-D)

or

  • PRODUCTIONS and ATTRACTIONS

The two sets of terms sound similar but there is a technical difference

Origins and Destinations

A worker leaves Zone 1 in the morning to go to work in Zone 8

This results in 2 trip ends:

  • One Origin for Zone 1
  • One Destination for Zone 8

Residential

Non-residential

Residential

Non-residential

When that same worker leaves Zone 8 in the evening to go to home to Zone 1

This results in another 2 trip ends:

  • One Destination for Zone 1
  • One Origin for Zone 8

Total Number of Trip Ends Zone 1: 2 Trip Ends (1 O, 1 D) Zone 8: 2 Trip Ends (1 O, 1 D)