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Record W4408365752 · doi:10.1016/j.trip.2025.101371

A roll down memory lane: Policy implications of nostalgic experiences in shared e-scooter consumption

2025· article· en· W4408365752 on OpenAlex
Karly Nygaard-Petersen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTransportation Research Interdisciplinary Perspectives · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsRoyal Roads University
FundersMitacsRoyal Roads University
KeywordsConsumption (sociology)PsychologyComputer scienceBusinessAdvertisingAestheticsArt

Abstract

fetched live from OpenAlex

• Ethnographic study utilizing transit diaries, interviews, and participant observation to explore nostalgia's role in shared e-scooter use. • Nostalgia was found to be associated with consumer feelings of freedom and social connectedness. • New mobility norms and meanings ascribed to transport modes need to be considered in current e-scooter policy contexts. This ethnographic study leverages transit diaries, in-depth interviews, and participant observation to examine consumptive experiences of shared e-scooter use. Moving beyond functional and utilitarian motivations, this research draws on Consumer Culture Theory to uncover the affective dimensions that shape users’ experiences with e-scooters. Findings reveal nostalgia, underpinned by consumer feelings of freedom and social connectedness, are present in e-scooter experiences and implications for policy makers are discussed. By increasing awareness of consumptive experiences of e-scooters, this research contributes to an understudied area of transportation and mobility research, and holds potential to assist cities in understanding how to better implement first- and last-mile transit solutions as micromobility moves out of the periphery and into the core of transit systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.384
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it