Planning with ComPlanAI
Comparative insights from a human–AI evaluation of comprehensive plans
Bibliographic Data
| ID | 7472372 |
|---|---|
| Authors | Siyoun Sung (0009-0006-2080-2184, Tokyo Metropolitan Government), Changmu Jung (0000-0003-2687-9255, Seoul National University), Yunmi Park (0000-0002-7924-6518, Seoul National University, corresponding author) |
| Year | 2026 |
| Volume | 172 |
| Pages | 106898 |
| Publication date | 2026-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cities (JOURNAL) |
| Journal identifiers | ISSN: 0264-2751 • E-ISSN: 1873-6084 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.cities.2026.106898 |
| OpenAlex | W7130723283 |
| Language | EN |
| References cited | 33 |
Complementarity (molecular biology · Generative grammar · Plan (archaeology · Public participation · Spatial planning · Spatialization · Stakeholder · Strategic planning · Transparency (behavior · Turing test · Geographic Information Systems Studies · Land Use and Ecosystem Services · Smart Cities and Technologies
Hybrid Intelligence
Machine behaviour
I.—computing Machinery and Intelligence
Artificial intelligence may affect diversity
From Vision to Reality
Exploring large language models for human mobility prediction under public events
Machine humour
The European Legislation on AI
Planning First, Tools Second
Understanding urban perception with visual data
Advancements in the application of large language models in urban studies
Plan Quality Evaluation 1994–2012
Urban Chatter
Urban planners should not be afraid of AI
"The Science of "Muddling Through
Still Muddling, Not Yet Through
Does Strategic Planning Improve Organizational Performance? A Meta‐Analysis
| Highly cited | No |
|---|