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Record W4409432737 · doi:10.1016/j.tra.2025.104475

Travelling in the margins: Impacts of transport poverty on travel attitudes and behaviours

2025· article· en· W4409432737 on OpenAlexafffundabout
Paromita Nakshi, Karen Lucas, Steven Farber

Bibliographic record

VenueTransportation Research Part A Policy and Practice · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersSocial Sciences and Humanities Research Council
KeywordsPovertyTravel behaviorTransport engineeringPublic transportGeographyEconomicsEconomic growthEngineering

Abstract

fetched live from OpenAlex

• Transport poverty contributes to the formation and change of travel attitudes and behaviour. • Travel behaviour is often dynamically adapted in the context of transport poverty. • Intersectionality of marginalization exacerbates vulnerability in daily travel. • Travel attitudes are complex and nuanced. Transportation researchers have long used social-psychological theories to understand the impacts of travel attitudes on travel behaviour, especially in relation to the built environment and residential location choice. However, there has been limited research on whether social and transportation inequities impact the formation and change of travel attitudes and behaviour. In this paper, we used qualitative research to explore whether people’s experiences of transport poverty, defined as the combined effect of social and transportation disadvantages, contributes to the formation and change of their travel attitudes and behaviour. If transport poverty influences travel attitudes, then, according to the social-psychological theories, inequities impact travel behaviour not only through material deprivation but also by influencing travel attitudes. To examine such a relationship, we propose a framework integrating transport poverty, the Theory of Planned Behaviour (TPB), the Theory of Cognitive Dissonance (TCD) and Habit Theory (HT). We also empirically test our framework using retrospective and qualitative data collected in the Rexdale neighbourhood in Toronto. We found that consistent with our hypothesis, experiences of transport poverty influence people’s travel attitudes via perceived behavioural control and past travel behaviour, which is also influenced by transport poverty. Furthermore, transport poverty impacts the relationship between travel intention and behaviour. Moreover, daily travel behaviours of individuals living in marginalized conditions are often ad-hoc and dynamically adapted. We also explain travel behaviour adaptations in the context of transport poverty by integrating a framework for intention with social-psychological theories. Finally, we suggest research and policy implications of our framework based on our findings.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.318
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.113
GPT teacher head0.482
Teacher spread0.369 · 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 designObservational
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".

Quick stats

Citations4
Published2025
Admission routes3
Has abstractyes

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