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Permanent record · RIR–3019

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 suitableQualified 85/100P4 provenance
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

OECD fields and topic tags

Futures StudiesUrban PlanningSustainability Science

Scope: 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

originalityModerate
methodologyModerate
Data accessModerate
ethicsAccessible

Qualification signal

85/100

  • Focus on stakeholder engagement and practical policy application.
  • Open-access scholarly source and DOI metadata verified

Provenance

Research Idea Registry curation

  • DOI and bibliographic metadata independently resolved
  • Open-access status verified
  • The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.

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

Open source ↗