03-31-2020, 07:42 AM
Trip Generation Modelling
Modelling Transport -
Ortuzar Willumsen
As we saw in Chapter 1, the trip generation stage of the classical transport model aims at predicting
the total number of trips generated by (Oi) and attracted to (Dj) each zone of the study area. This can be
achieved in a number of ways: starting with the trips of the individuals or households who reside in each
zone or directly with some of the properties of the zones: population, employment, number of cars, etc.
The subject has also been viewed as a trip frequency choice problem: how many shopping (or other purpose)
trips will be carried out by this person type during a representative week? This is usually undertaken
using discrete choice models, as discussed in Chapters 7 to 9, and it is then cast in terms like: what is the
probability that this person type will undertake zero, one, two or more trips with this purpose per week?
In this chapter we concentrate on the first approach (i.e. predicting the totals Oi and Dj from data on
household socioeconomic attributes), and also give a glimpse about the second which has advantages in
some studies.
To Read more...
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Modelling Transport -
Ortuzar Willumsen
As we saw in Chapter 1, the trip generation stage of the classical transport model aims at predicting
the total number of trips generated by (Oi) and attracted to (Dj) each zone of the study area. This can be
achieved in a number of ways: starting with the trips of the individuals or households who reside in each
zone or directly with some of the properties of the zones: population, employment, number of cars, etc.
The subject has also been viewed as a trip frequency choice problem: how many shopping (or other purpose)
trips will be carried out by this person type during a representative week? This is usually undertaken
using discrete choice models, as discussed in Chapters 7 to 9, and it is then cast in terms like: what is the
probability that this person type will undertake zero, one, two or more trips with this purpose per week?
In this chapter we concentrate on the first approach (i.e. predicting the totals Oi and Dj from data on
household socioeconomic attributes), and also give a glimpse about the second which has advantages in
some studies.
To Read more...
Trip Generation Modelling from Modelling Transport -Ortuzar Willumsen-2.pdf Size: 365.14 KB Downloads: 6
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