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RIR-3019 · Logged 13 July 2026

Integrating Social Practice Theory into Participatory Backcasting for Sustainable Urban Transport Transitions

This paper demonstrates how social practice theory can enhance the visioning phase of transport backcasting studies. Future research could explore the cross-cultural applicability of these practice-based scenarios in diverse urban environments.

Open to researchMBA suitableQuality 85/100Prior-standard auditP4 provenance
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In plain words

Planning greener city transport often starts with a picture of the future and works backwards. Would building that picture around people's everyday habits, rather than new technology alone, make the planning work better and win more commitment?

Primary research question

How does the integration of social practice theory improve the effectiveness of participatory backcasting in transport planning?

Knowledge gap

What remains worth asking

It remains useful to test whether practice-based scenarios lead to higher stakeholder commitment compared to traditional technology-focused scenarios.

Potential contribution

Why it may matter

This research offers a more nuanced approach to policy design by focusing on everyday social practices rather than just technological solutions.

Academic placement

Academic fields and topic tags

Futures StudiesUrban PlanningSustainability Science

Study frame: Urban transport policy and sustainable development planning. · Method signals: Participatory workshops, Backcasting, Social practice theory analysis

Possible study pathways

One question, different levels

Professional master’s / MBA

Sustainable urban management

Doctoral

Transition studies and transport policy

originality
Moderate
methodology
Moderate
Data access
Moderate
ethics
Accessible

Quality and audit

85/100 quality

Safeguard-based audit was not recorded under the prior standard.

  • Focus on stakeholder engagement and practical policy application.
  • Open-access scholarly source and DOI metadata verified
Current safeguards were not recorded

This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.

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Provenance

Research Idea curation

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  • Open-access status verified
  • The research direction is transparently marked as AI-inferred

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APA 7 source

Camilleri, R., Attard, M., & Hickman, R. (2021). Future Low-Carbon Transport Scenarios: Practice Theory-Based Visioning for Backcasting Studies. Sustainability, 14(1), 74. https://doi.org/10.3390/su14010074

Paper abstract and discussion context; AI-inferred direction

This is an AI-inferred direction. The source authors did not state it as a recommendation.

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