Urban tree species classification using multisource satellite remote sensing data and street view imagery DOI Creative Commons
Shufan Wang, Chun Liu, Shanshan Wei

et al.

Geo-spatial Information Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: Jan. 14, 2025

Language: Английский

Encouraging cycling through the improvement of streetscape perception: A bottom-up investigation into the relationship between street greening and bicycling volume DOI
喬森 張, Jin Rui, Yufei Wu

et al.

Applied Geography, Journal Year: 2024, Volume and Issue: 171, P. 103388 - 103388

Published: Aug. 27, 2024

Language: Английский

Citations

8
Pedaling through the cityscape: Unveiling the association of urban environment and cycling volume through street view imagery analysis DOI
Ming Gao, Congying Fang

Cities, Journal Year: 2024, Volume and Issue: 156, P. 105573 - 105573

Published: Nov. 6, 2024

Language: Английский

Citations

6
A perception-powered urban digital twin to support human-centered urban planning and sustainable city development DOI
Junjie Luo, Pengyuan Liu,

Wenhui Xu

et al.

Cities, Journal Year: 2024, Volume and Issue: 156, P. 105473 - 105473

Published: Oct. 21, 2024

Language: Английский

Citations

5
Examining the causal impacts of the built environment on cycling activities using time-series street view imagery DOI
Koichi Ito, Prateek Bansal, Filip Biljecki

et al.

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 190, P. 104286 - 104286

Published: Oct. 21, 2024

Language: Английский

Citations

5
Understanding the aesthetic perceptions and image impressions experienced by tourists walking along tourism trails through continuous cityscapes in Macau DOI
Long Zhou, Yixin Li,

Jialin Cheng

et al.

Journal of Transport Geography, Journal Year: 2023, Volume and Issue: 112, P. 103703 - 103703

Published: Sept. 22, 2023

Language: Английский

Citations

12
Different perspectives are indispensable for public space quality: Exploring the relationship between urban design quality and physical disorder DOI
Yue Ma, Tangqi Tu, Ying Long

et al.

Environment and Planning B Urban Analytics and City Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 15, 2025

Public space quality is a multidimensional concept. Urban design and physical disorder represent it from the perspectives of maintenance, respectively. However, practical relationship between these two factors remains unclear, raising questions about necessity measuring multiple dimensions public simultaneously. Based on classical studies theories, this study developed index systems for both factors. Utilizing artificial virtual auditing deep learning models, including FCN SegNet, street visual Chinese cities was assessed urban using extensive view images. The correlation explored. results showed that Spearman coefficients were 0.308 −0.085 in cities, respectively, indicating weak or unclear correlations. Additionally, fit explanatory power linear nonlinear regression models constructed poor, further demonstrating difficult to predict explain one variable other. In robustness test, validated by control variables related vitality, cultural characteristics, development, considering impact distribution images, drilling down more granular extending scope wider area. levels maintenance streets cannot be conflated substituted, neither can independently overall alone. Both are indispensable, making crucial separately assess address issues different perspectives. These broaden our understanding high-visual-quality provide references planners stakeholders improving quality.

Language: Английский

Citations

0
ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science DOI
Koichi Ito, Yihan Zhu, Mahmoud Abdelrahman

et al.

Computers Environment and Urban Systems, Journal Year: 2025, Volume and Issue: 119, P. 102283 - 102283

Published: March 20, 2025

Language: Английский

Citations

0
Evaluation of Thermal Comfort in Urban Commercial Space with Vision–Language-Model-Based Agent Model DOI Creative Commons
Dongyi Zhang,

Zihao Xiong,

Xun Zhu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 786 - 786

Published: April 6, 2025

Thermal comfort in urban commercial spaces significantly impacts both business performance and public well-being. Traditional evaluation methods relying on field surveys expert assessments are often time-consuming labor-intensive. This study proposes a novel vision–language model (VLM)-based agent system for thermal assessment spaces, simulating eight distinct heat-sensitive roles with varied demographic backgrounds through prompt engineering using ChatGPT-4o. Taking Harbin Central Street, China as case study, we first validated accuracy ASHRAE scale evaluations of 30% samples (167 images) by 50 experts, then conducted simulations followed spatial interpretability analyses. Key findings include (1) significant correlation between VLM (r = 0.815, p < 0.001), confirming method feasibility; (2) notable heterogeneity across agents, demonstrating the VLMs’ capacity to capture perceptual differences among social groups; (3) analysis revealing higher eastern regions compared western central areas despite inter-role variations, consistency agents; (4) shade vegetation being identified primary influencing factors that contribute agent’s decision making. research validates VLM-based agents’ effectiveness evaluation, showcasing their dual capability replicating traditional while capturing group differences. The proposed approach establishes paradigm efficient, comprehensive, multi-perspective environments.

Language: Английский

Citations

0
Subjective Assessment of a Built Environment by ChatGPT, Gemini and Grok: Comparison with Architecture, Engineering and Construction Expert Perception DOI Creative Commons
Rachid Belaroussi

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(4), P. 100 - 100

Published: April 14, 2025

The emergence of Multimodal Large Language Models (MLLMs) has made methods artificial intelligence accessible to the general public in a conversational way. It offers tools for automated visual assessment quality built environment professionals urban planning without requiring specific technical knowledge on computing. We investigated capability MLLMs perceive environments based images and textual prompts. compared outputs several popular models—ChatGPT, Gemini Grok—to experts Architecture, Engineering Construction (AEC) context real estate construction project. Our analysis was subjective attributes proposed characterize various aspects environment. Four identities served as case studies, set virtual designed using professional 3D models. found that there can be an alignment between human AI evaluation some such space scale architectural style, more accordance with vegetation. However, were noticeable differences response patterns AIs AEC experts, particularly concerning emotional resonance identities. raises questions regarding hallucinations generative where invents information behaves creatively but its are not accurate.

Language: Английский

Citations

0
Understanding the visual perception and environmental impressions of tourists’ experiences in Suzhou’s modern gardens in China DOI Creative Commons
Wenjie Liu, Huan Li, Woon Chia Liu

et al.

Cogent Arts and Humanities, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 23, 2025

Language: Английский

Citations

0