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Record W6911965536 · doi:10.5281/zenodo.15439445

Webshop prototype for behaviour change interventions for sustainable logistics choices

2025· article· en· W6911965536 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsRTDS Technologies (Canada)
FundersEuropean Commission
KeywordsBehaviour changeRestructuringPsychological interventionSustainable developmentConsumer behaviourSustainable living

Abstract

fetched live from OpenAlex

This document presents the development and implementation of a webshop prototype aimed at encouraging sustainable delivery choices through digital behaviour change techniques (BCTs). More broadly, this prototype serves to fulfil the SuCoLo project’s objectives, which seeks to promote sustainable logistics solutions in urban outskirts by leveraging psychological models of behaviour change and inclusive cargo-bike logistics. The prototype builds on prior research (e.g., D3.1 Scientific publication of reviewed behaviour change techniques for sustainable logistics and Supplemental Report: Best practices catalogue of behaviour change techniques to encourage sustainable consumer delivery choices) that reviewed and catalogued effective BCTs for influencing consumer behaviour toward green delivery options. These interventions include strategies like providing information about environmental impacts, social comparisons, material incentives, restructuring digital environments to "nudge" users toward sustainable choices, and more. In the same vein, co-creation activities with webshop owners and consumers were also incorporated to ensure the solutions are practical and widely adoptable. This webshop underwent several development iterations, and now several variations of it with different BCTs will be tested among an Austrian sample. You can access a copy of the UX and customer journey of the webshop prototypes utilised in this study here: https://zenodo.org/records/15180498

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.

How this classification was reachedexpand

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.095
GPT teacher head0.281
Teacher spread0.187 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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