· 2021· Book chapter
Quantitative Methods for Analysing Travel Behaviour of Individuals
- 562citations
- 2021year
Short summary
This chapter reviews recent quantitative methods for analyzing individual travel behavior, covering model specification (multinomial-probit, generalized-extreme value), estimation (choice-based samples, incomplete choice sets), evaluation (prediction-success tables), and forecasting (Clark method aggregation).
AI-generated from the title and abstract; the full text is not read.
Key points
- Covers model specification, estimation, evaluation, and forecasting for travel behavior analysis.
- Discusses multinomial-probit and generalized-extreme value models.
- Explains estimation techniques for choice-based samples and incomplete choice sets.
- Includes methods for model evaluation (prediction-success tables) and forecasting (Clark method).
AI-generated from the title and abstract; the full text is not read.
Abstract
This chapter is concerned with quantitative methods for the analysis of travel behaviour of individuals. It reviews some of the recent developments in model specification, estimation, model evaluation and testing, and aggregation and forecasting. Topics in model specification include the multinomial-probit model and its computation, and generalised-extreme value models and their relation to sequential models. Topics in estimation methods include the use of choice-based samples, sample designs and incomplete choice sets. Model evaluation topics include prediction-success tables and diagnostic tests of specification. Aggregation and forecasting topics include aggregation by the Clark method, synthesis of the distribution of explanatory variables, and the calculus of demand elasticities.
The authors' abstract, as published at the source., 2021 · DOI ↗
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Field: Transportation
TransportationSocial Sciences