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A perturbed utility route choice model

Mogens Fosgerau, Mads Paulsen, Thomas Kjær Rasmussen

arXiv 25 Mar 2021 · Econometrics · publishedTransportation Research Part C Emerging Technologies (2022)

arXiv:2103.13784 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We propose a route choice model in which traveler behavior is represented as a utility maximizing assignment of flow across an entire network under a flow conservation constraint}. Substitution between routes depends on how much they overlap. {\tr The model is estimated considering the full set of route alternatives, and no choice set generation is required. Nevertheless, estimation requires only linear regression and is very fast. Predictions from the model can be computed using convex optimization, and computation is straightforward even for large networks. We estimate and validate the model using a large dataset comprising 1,337,096 GPS traces of trips in the Greater Copenhagen road network.

Citation extraction

33
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distinct cited
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Allen, R. and J. Rehbeck (2019) b): Identification With Additively Separable Heterogeneity0.81142100%
2Oyama, Y., Y. Hara, and T. Akamatsu (2020) Markovian Traffic Equilibrium Assignment based on Network Generalized Extreme Value Model0.81142100%
3Ben-Akiva, M. and M. Bierlaire (1999) Discrete Choice Methods and their Applications to Short Term Travel Decisions0.73732100%
4Fudenberg, D., R. Iijima, and T. Strzalecki (2015) Stochastic Choice and Revealed Perturbed Utility0.64422100%
5Hofbauer, J. and W. H. Sandholm (2002) On the global convergence of stochastic fictitious play0.64422100%
6Mai, T., M. Fosgerau, and E. Frejinger (2015) a): A nested recursive logit model for route choice analysis0.64422100%
7McFadden, D. L (1973) Conditional logit analysis of qualitative choice behavior, in0.64422100%
8McFadden, D (1981) Econometric Models of Probabilistic Choice, in0.64422100%
9Fosgerau, M. and D. L. McFadden (2012) A theory of the perturbed consumer with general budgets self0.64422100%
10Rasmussen, T. K., O. A. Nielsen, D. P. Watling, and C. Giacomo Prato (2017) European Journal of Transport and Infrastructure Research self0.64422100%

Showing the top 10 of 33 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Sensitivity analysis of the perturbed utility stochastic traffic equilibrium1.00095
2Bikeability and the induced demand for cycling0.83075