This record is in review state, the data has not yet been validated.
Reconstructing activity locations from zone-based trip data for discrete choice modeling
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. Show more
Journal / seriesArbeitsberichte Verkehrs- und Raumplanung
PublisherIVT, ETH Zurich
SubjectAnonymization; Data privacy; Travel survey; Choice model; Discrete choice
Organisational unit03521 - Axhausen, Kay W. / Axhausen, Kay W.
MoreShow all metadata