9. Modal Split
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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What we have learnt
- Modal split is a critical concept in transportation planning, impacting policy and efficiency in urban travel.
- Factors influencing mode choice are categorized into characteristics of the trip maker, journey characteristics, and transport facility characteristics.
- Both binary and multinomial logit models offer frameworks for understanding and predicting travel behavior related to mode choice.
Key Concepts
- -- Modal Split
- The distribution of travel demand across different modes of transport, influenced by various economic, social, and policy factors.
- -- Binary Logit Model
- A statistical model used to predict the choices between two modes of transport based on their respective utilities.
- -- Multinomial Logit Model
- An extension of the binary logit model that allows for the choice among three or more modes of transport.
- -- Tripend Modal Split
- A modal split model applied immediately after trip generation, focusing on personal characteristics.
- -- Tripinterchange Modal Split
- A model that applies modal split post distribution, considering journey characteristics and mode alternatives.
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