Evidence map›Paper›PMID 41810331›Full record

ArticleTransportation2026

The TimeUse+ data set: 4 weeks of time use and expenditure data based on GPS tracks.

Caroline Winkler, Adrian Meister, Kay W Axhausen

Abstract read
In one paragraph

Article in Transportation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Caroline WinklerInstitute for Transport Planning and Systems ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0002-0733-8990
Adrian MeisterInstitute for Transport Planning and Systems ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0002-3350-9044
Kay W AxhausenInstitute for Transport Planning and Systems ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0003-3331-1318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This data paper introduces the TimeUse+ data set and outlines the comprehensive survey methodologies employed in its collection. The TimeUse+ study comprised two online questionnaires and a smartphone-based diary, recording travel, time use, and expenditure data. Participants were instructed to utilize the TimeUse+ application over a 4-week period. The app passively tracked participants' movements via GPS and enabled them to annotate their trips and time spent at fixed locations with relevant time use and expenditure information. We begin by providing an overview of extant research on smartphone-based activity-travel diaries and the survey methodological research that informed the TimeUse+ app's design. We then delineate the study design and components of TimeUse+, highlighting insights derived from prior focus groups and pretests. The data analyzed in this study were collected during the main study wave of TimeUse+, conducted in German-speaking Switzerland from July 2022 to February 2023. Approximately 63,000 individuals were invited to participate, of which approximately 10% initially indicated interest. Despite the study's extensive and burdensome nature, we observed a net response rate of 2.1%. We present findings related to travel behavior, time use patterns, and expenditure habits, and discuss the challenges faced and lessons learned during each stage of development and execution of the TimeUse+ study. These extensive longitudinal data, which include validated information on travel mode and purpose, as well as detailed data on duration, social partners, and expenditures associated with activities performed at each destination, are being made available for further research.

Indexed as

GPS trackingHousehold expendituresSmartphone diary studyTime useTravel behavior

Identifiers

PMID41810331
PMCPMC12968094

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.