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This chapter elaborates on modal split in travel demand modeling, emphasizing its significance in transport planning and policy making. It discusses factors influencing mode choice, types of modal split models such as trip-end and trip-interchange models, and provides insights into binary and multinomial logit models. The chapter concludes with examples illustrating the application of these concepts in decision-making regarding transportation options.
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Term: Modal Split
Definition: The distribution of travel demand across different modes of transport, influenced by various economic, social, and policy factors.
Term: Binary Logit Model
Definition: A statistical model used to predict the choices between two modes of transport based on their respective utilities.
Term: Multinomial Logit Model
Definition: An extension of the binary logit model that allows for the choice among three or more modes of transport.
Term: Tripend Modal Split
Definition: A modal split model applied immediately after trip generation, focusing on personal characteristics.
Term: Tripinterchange Modal Split
Definition: A model that applies modal split post distribution, considering journey characteristics and mode alternatives.