[HTML][HTML] Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel

J Molloy, T Schatzmann, B Schoeman, C Tchervenkov… - Transport Policy, 2021 - Elsevier
In Switzerland, strict measures as a response to the Covid-19 pandemic were imposed on
March 16, 2020, before being gradually relaxed from May 11 onwards. We report the impact …

Intra-destination travel behavior of alpine tourists: a literature review on choice determinants and the survey work

B Bursa, M Mailer, KW Axhausen - Transportation, 2022 - Springer
In the face of a continuous increase in the number of tourists in the Alps, the associated
traffic volumes, and the resulting negative externalities, there is an urgent need to design …

Understanding the large role of long-distance travel in carbon emissions from passenger travel

Z Wadud, M Adeel, J Anable - Nature Energy, 2024 - nature.com
Long-distance passenger travel has received rather sparse attention for decarbonization.
Here we characterize the long-distance travel pattern in England and explore its importance …

The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerland

J Molloy, A Castro, T Götschi, B Schoeman… - Transportation, 2023 - Springer
This article presents the MOBIS dataset and underlying survey methods used in its
collection. The MOBIS study was a nation-wide randomised controlled trial (RCT) of …

Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring

A Nalin, V Vignali, C Lantieri, D Cappellari… - Journal of Transport …, 2024 - Elsevier
Veracity is a critical dimension of Big Data, as it is related to the quality of data. Its role is
even more important when Big Data are supposed to be a counterpart or a substitute of …

TRANSIT: Fine-grained human mobility trajectory inference at scale with mobile network signaling data

L Bonnetain, A Furno, NE El Faouzi, M Fiore… - … Research Part C …, 2021 - Elsevier
Call detail records (CDR) collected by mobile phone network providers have been largely
used to model and analyze human-centric mobility. Despite their potential, they are limited in …

Preferences for long-distance coach transport: Evidence from a discrete choice experiment

V Van Acker, R Kessels, DP Cuervo, S Lannoo… - … Research Part A: Policy …, 2020 - Elsevier
Long-distance travel rapidly increased in recent decades. This can be attributed to economic
growth, increased car ownership and technological innovations. Improvements in highway …

Assessing the quality of home detection from mobile phone data for official statistics

M Vanhoof, F Reis, T Ploetz… - Journal of official …, 2018 - journals.sagepub.com
Mobile phone data are an interesting new data source for official statistics. However,
multiple problems and uncertainties need to be solved before these data can inform, support …

A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)

M Fekih, T Bellemans, Z Smoreda, P Bonnel, A Furno… - Transportation, 2021 - Springer
Spatiotemporal data, and more specifically origin–destination matrices, are critical inputs to
mobility studies for transportation planning and urban management purposes. Traditionally …

The carbon footprint of scientific visibility

O Berné, L Agier, A Hardy, E Lellouch… - Environmental …, 2022 - iopscience.iop.org
In the face of global warming, academics have started to consider and analyze the
environmental and carbon footprint associated with their professional activity. Among the …