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Measuring the effectiveness of street renewal design: Insights from visual preference surveys, deep-learning technology, and eye-tracking simulation software
Research article (Landscape and Urban Planning, 2024) · cited 16× · AI/ML
Measuring the effectiveness of street renewal design: Insights from visual preference surveys, deep-learning technology, and eye-tracking simulation software
Summary
Measuring the effectiveness of street renewal design: Insights from visual preference surveys, deep-learning technology, and eye-tracking simulation software is a scholarly article[1].
Key Facts
Measuring the effectiveness of street renewal design: Insights from visual preference surveys, deep-learning technology, and eye-tracking simulation software's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Measuring the effectiveness of street renewal design: Insights from visual preference surveys, deep-learning technology, and eye-tracking simulation software. Retrieved May 24, 2026, from https://4ort.xyz/entity/measuring-the-effectiveness-of-street-renewal-design-insights-from-visual-preference-surveys-deep-learning-technology-an
MLA“Measuring the effectiveness of street renewal design: Insights from visual preference surveys, deep-learning technology, and eye-tracking simulation software.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/measuring-the-effectiveness-of-street-renewal-design-insights-from-visual-preference-surveys-deep-learning-technology-an.
BibTeX@misc{4ortxyz_measuring-the-effectiveness-of-street-renewal-design-insights-from-visual-preference-surveys-deep-learning-technology-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Measuring the effectiveness of street renewal design: Insights from visual preference surveys, deep-learning technology, and eye-tracking simulation software}}, year = {2026}, url = {https://4ort.xyz/entity/measuring-the-effectiveness-of-street-renewal-design-insights-from-visual-preference-surveys-deep-learning-technology-an}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Measuring the effectiveness of street renewal design: Insights from visual preference surveys, deep-learning technology, and eye-tracking simulation software — https://4ort.xyz/entity/measuring-the-effectiveness-of-street-renewal-design-insights-from-visual-preference-surveys-deep-learning-technology-an (retrieved 2026-05-24)
