Generative AI for spatial regeneration planning
Integrating urban planning theories and ethics
Bibliographic Data
| ID | 7150549 |
|---|---|
| Authors | Yan Wang (0009-0009-9633-0023, University of Florida, corresponding author), Yanjie Fu (0000-0002-1767-8024, Arizona State University), Ward Lyles (0000-0002-2398-4976, University of Kansas) |
| Year | 2026 |
| Volume | 124 |
| Pages | 102380 |
| Publication date | 2026-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computers Environment and Urban Systems (JOURNAL) |
| Journal identifiers | ISSN: 0198-9715 • E-ISSN: 1873-7587 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.compenvurbsys.2025.102380 |
| OpenAlex | W4416677972 |
| Language | EN |
| Citations received | 2 |
| References cited | 76 |
Automated planning and scheduling · Environmental design and planning · Redevelopment · Spatial planning · Transformative learning · Urban planning · Land Use and Ecosystem Services · Smart Cities and Technologies · Urban Planning and Governance
Planning in the Face of Power
A Gender Agenda
A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects
Unleashing the Power of Planning to Create Disaster-Resistant Communities
Spatial planning for multifunctional green infrastructure
Disaster and Recovery
Human-in-the-loop machine learning
Transportation–land-use interaction
Advocacy and Pluralism in Planning
First, Do No Harm
Modeling Dynamics of Community Resilience to Extreme Events with Explainable Deep Learning
Enabling smart curb management with spatiotemporal deep learning
Theories and Planning Theories
Towards resilient and smart cities
Urban AI
Accountability in artificial intelligence
Urban Hazard Mitigation
Assessing the collective challenges of AI
Black feminism and radical planning
Post-disaster recovery dilemmas
Indigenous data, indigenous methodologies and indigenous data sovereignty
Data governance
The Pathway of Urban Planning AI
A Region Recovers
Modelling urban change with cellular automata
Urban regeneration in the light of social innovation
The land use—transport connection
Enhancing Indigenous impact assessment
A Ladder Of Citizen Participation
Still Muddling, Not Yet Through
A Typology of Public Engagement Mechanisms
Building machines that learn and think with people
Promises and challenges of generative artificial intelligence for human learning
| Citations per year | 2 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |