Permanent record
RIR-3010 · Logged 13 July 2026
Scenario-Based Approaches for Unlearning Urban Borders in Multidisciplinary Planning and Design Studios
This research investigates the application of scenario planning to address urban segregation and boundary-related challenges. It explores how multidisciplinary studios can use foresight to reimagine urban spaces.
In plain words
Cities are often divided by physical and social borders. Can building scenarios of possible futures help urban design students and city planners learn to see past those borders and rethink how city spaces could be shared?
Primary research question
How can scenario-based planning methods effectively facilitate the unlearning of physical and social borders in urban environments?
Knowledge gap
What remains worth asking
It remains useful to test the efficacy of scenario-based pedagogical approaches in addressing complex urban planning challenges.
Potential contribution
Why it may matter
Innovative planning methods are vital for creating more inclusive and adaptable urban futures.
Academic placement
Academic fields and topic tags
Study frame: Urban design education and municipal planning departments. · Method signals: Scenario planning, Design studio observation
Possible study pathways
One question, different levels
Postgraduate diploma
Urban design and foresight practice
Research master’s
Evaluation of scenario-based planning tools
- originality
- Moderate
- methodology
- Accessible
- Data access
- Accessible
- ethics
- Accessible
Quality and audit
77/100 quality
Safeguard-based audit was not recorded under the prior standard.
- Focus on pedagogical outcomes
- Analyze the impact of multidisciplinary collaboration
- Open-access scholarly source and DOI metadata verified
This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.
Sign-in required · uses one AI creditProvenance
Research Idea 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
Hewidy, H. (2026). Unlearning borders: A scenario-based approach in a multidisciplinary urban planning studio. Futures, 177, 103781. https://doi.org/10.1016/j.futures.2026.103781
Paper abstract and discussion context; AI-inferred direction
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗