1. What are the contributions in this paper?
Therefore, the authors begin this chapter with a review of the theoretical and practical aspects of discrete choice models.. After a brief discussion of general assumptions, the authors introduce the random utility model, which is the most common theoretical basis of discrete choice models.. The authors then present the alternative discrete choice model forms such as Logit, Nested Logit, Generalized Extreme Value and Probit, as well as more recent developments such as Hybrid Logit and the Latent Class choice model.
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2. What is the utility function for a graph?
Models based on deterministic utility maximization are supported by efficient algorithms to compute shortest paths in a graph (e.g. Dijkstra, 1959, and Dial, 1969).
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3. What are the attributes specific to route choice in transit networks?
Attributes specific to route choice in transit networks include number of transfers, waiting and walking time and service frequency.•
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4. What is the utility function associated with path i?
An application of an implicit probabilistic choice set generation model has been proposed by Cascetta and Papola (1998), where the utility function associated with path i by individual n is defined aswhere qin is a random variable with mean∑ += −kA inkk X ineq γ11 .
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