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Modal split models aim to determine the proportion of trips taken using different transportation modes based on travel demand between locations. These models mathematically describe how people choose modes of transportation. Generally, choice models are used, where the probability of choosing a mode depends on its perceived utility relative to other options. The factors that affect perceived utility and therefore mode choice include socioeconomic characteristics and service attributes like travel time, access to transit, and costs. An example problem is then solved to demonstrate modal split modeling.

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34 views1 page

Human

Modal split models aim to determine the proportion of trips taken using different transportation modes based on travel demand between locations. These models mathematically describe how people choose modes of transportation. Generally, choice models are used, where the probability of choosing a mode depends on its perceived utility relative to other options. The factors that affect perceived utility and therefore mode choice include socioeconomic characteristics and service attributes like travel time, access to transit, and costs. An example problem is then solved to demonstrate modal split modeling.

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9052633469
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Modal split models aim to determine the number of trips on different modes given the travel demand between

different pairs of nodes (zones). These models try to mathematically describe the mode choice phase of the sequential demand analysis procedure. Generally, choice models are used for modal split analysis. That is, it is assumed that the probability of choosing a particular mode is the probability that the perceived utility from that mode is greater than the perceived utility from each of the other available modes. Since, choice models were discussed while presenting destination choice models in the section on trip distribution they are not repeated here. This lecture only discusses the factors which are generally assumed to affect the perceived utility of modes. An example problem is also solved. The factors which affect the choice of a mode (and hence the perceived utility from a mode) are:

Socio-economic factors like income, automobile ownership, age, and so on. Service-related factors like in-vehicle travel time, access to public transport (or transit systems), frequency of transit system operation, out-of-pocket cost, and the like.

For a particular zone pair, three modes of travel between the zones exist -- private transport like automobiles (PT), bus (B), and urban rapid transit system like local trains (RT). It is given that all trip-makers have access to private transport and that the perceived utility of a mode m, i.e. , is given by

where, is the in-vehicle travel time is the out-of-pocket cost in rupees for mode m is the waiting time in minutes for mode m , and is a dummy variable which is 1 when the mode is private transport, 0 otherwise. in minutes for mode m

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