The DOI matches its Crossref record.
Quantitative Methods for Analysing Travel Behaviour of Individuals
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Hauber, A. B., González, J. M., Groothuis-Oudshoorn, C. G. M., Prior, T., Marshall, D. A., Cunningham, C., IJzerman, M. J., & Bridges, J. F. P. (2016) · Value in Health · doi:10.1016/j.jval.2016.04.004 · Cited by 1,330
Exploring the impacts of COVID-19 on travel behavior and mode preferences
Abdullah, M., Dias, C., Muley, D., & Shahin, M. (2020) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2020.100255 · Cited by 678
Italian consumers’ income and food waste behavior
Setti, M., Falasconi, L., Segrè, A., Cusano, I., & Vittuari, M. (2016) · British Food Journal · doi:10.1108/bfj-11-2015-0427 · Cited by 145
Coderoni, S., & Perito, M. A. (2021) · Waste Management · doi:10.1016/j.wasman.2021.03.018 · Cited by 111
Scherer, C., Wolf, R., Völker, J., Stock, F., Brennhold, N., Reifferscheid, G., & Wagner, M. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.134604 · Cited by 96
Metadata
- Authors
- McFadden, D.
- Venue
- Behavioural Travel Modelling
- Publisher
- Routledge
- Published
- 2021-04-02
- Pages
- 279-318
- OpenAlex
- W1593602309
- Cited by
- 567
- References
- 0
- FWCI
- 105.45
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantitative Methods for Analysing Travel Behaviour of Individuals. https://app.cochat.ai/papers/10.4324/9781003156055-18
- The paper
- McFadden, D. (2021). Quantitative Methods for Analysing Travel Behaviour of Individuals. Behavioural Travel Modelling. https://doi.org/10.4324/9781003156055-18
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
