Future cities imagined by ChatGPT-4o: human evaluation using importance-performance analysis

Despite the growing integration of artificial intelligence (AI) into human society, a significant gap remains in understanding how AI can use its database-driven imagination to enhance urban planning and aesthetics effectively. This study explores ChatGPT-4o’s potential in generating future urban designs by incorporating human evaluations. Using a mixed-methods design, the study identified key indicators for evaluating AI-generated urban design images and then applied Importance-Performance Analysis (IPA) to measure participants’ evaluations of these indicators. Results showed that creativity was the most critical indicator needing improvement, while technological sense received high performance. Surprisingly, indicators like traffic rationality, environmental greening, public space utilization and cultural representation were deemed less important. These findings suggest that participants prefer AI to focus more on bold, imaginative aspects. This study constructs a framework for evaluating AI-generated urban design images and offers valuable insights for improving AI applications in urban planning and image generation.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-05-07
DOI
https://doi.org/10.1057/s41599-025-04941-6
Citations
2
Primary Topic
Urban Planning and Valuation
Type
article
Field-Weighted Citation Impact
4.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Future cities imagined by ChatGPT-4o: human evaluation using importance-performance analysis

Muhizam Mustafa, Yongchun Mao, Zihao Cao, Mohd Hafizal Mohd Isa
2 citations
Humanities and Social Sciences Communications
Urban Planning and Valuation
4.84
article

Future cities imagined by ChatGPT-4o: human evaluation using importance-performance analysis

Muhizam Mustafa, Yongchun Mao, Zihao Cao, Mohd Hafizal Mohd Isa
article en
2 citations

Abstract

Despite the growing integration of artificial intelligence (AI) into human society, a significant gap remains in understanding how AI can use its database-driven imagination to enhance urban planning and aesthetics effectively. This study explores ChatGPT-4o’s potential in generating future urban designs by incorporating human evaluations. Using a mixed-methods design, the study identified key indicators for evaluating AI-generated urban design images and then applied Importance-Performance Analysis (IPA) to measure participants’ evaluations of these indicators. Results showed that creativity was the most critical indicator needing improvement, while technological sense received high performance. Surprisingly, indicators like traffic rationality, environmental greening, public space utilization and cultural representation were deemed less important. These findings suggest that participants prefer AI to focus more on bold, imaginative aspects. This study constructs a framework for evaluating AI-generated urban design images and offers valuable insights for improving AI applications in urban planning and image generation.

Humanities and Social Sciences CommunicationsVol. 12(1)
Universiti Sains Malaysia (MY), Shandong Academy of Sciences (CN)
Sustainable cities and communities
Openalex Percentile: Top 6%
Urban Planning and Valuation
4.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Future cities imagined by ChatGPT-4o: human evaluation using importance-performance analysis — Muhizam Mustafa, Yongchun Mao, et al. · Humanities and Social Sciences Communications (2025) | TGRS Research Map | TGRS