Choice probabilities and correlations in closed-form route choice models: specifications and drawbacks
This paper investigates the performance – in terms of choice probabilities and correlations – of existing and new specifications of closed-form route choice models with flexible correlation patterns, namely the Link Nested Logit (LNL), the Paired Combinatorial Logit (PCL) and the more recent Combination of Nested Logit (CoNL) models. Following a consolidated track in the literature, choice probabilities and correlations of the Multinomial Probit (MNP) model by [1] are taken as targets. Laboratory experiments on small/medium-size networks are illustrated, also leveraging a procedure for practical calculation of correlations of any GEV models, proposed by [2]. Results show that models with inherent limitations in the coverage of the domain of feasible correlations yield unsatisfactory performance, whilst the specifications of the CoNL proposed in the paper appear the best in fitting both MNP correlations and probabilities. The performance of the models is appreciably ameliorated by introducing lower bounds to the nesting parameters. Overall, the paper provides guides for the practical application of tested models.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/2666691X
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Supplemental Notes:
- © 2023 The Author(s). Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Tinessa, Fiore
- Marzano, Vittorio
- Simonelli, Fulvio
- Tocchi, Daniela
- Papola, Andrea
- Publication Date: 2023-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 100186
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Serial:
- Transportation Engineering
- Volume: 13
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2666-691X
- Serial URL: https://www.journals.elsevier.com/transportation-engineering/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Choice models; Correlation analysis; Logits; Multinomial probits; Route choice
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01889127
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 27 2023 4:54PM