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Communication Dans Un Congrès Année : 2022

Reconstructing activity locations from zone-based trip data for discrete choice modeling

Résumé

This paper presents a methodology to disaggregate activity locations from zone-based activity chain data usually reported in the anonymized travel surveys. We propose an algorithm that aims to find a feasible sequence of activity locations, for each individual, that minimizes the maximum error of each trip's Euclidean distance within the activity chain. The reconstructed activity locations are then used to create unchosen alternatives within the choice set for each individual. This is followed by the mode-choice model estimation. We test our approach on three large-scale travel surveys conducted in Switzerland, Île-de-France and São Paulo. We find that with our approach we can reconstruct activity locations that accurately match trip Euclidean distances, but with location errors that still provide location protection. The models estimated on the reconstructed locations perform similarly, in terms of goodness of fit and prediction, to the ones obtained on the original activity locations.
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Dates et versions

hal-03405572 , version 1 (27-10-2021)

Identifiants

  • HAL Id : hal-03405572 , version 1

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Milos Balac, Sebastian Hörl. Reconstructing activity locations from zone-based trip data for discrete choice modeling. 101st Annual Meeting of the Transportation Research Board (TRB), Jan 2022, Washington D.C., United States. ⟨hal-03405572⟩
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