Revealing emotional responses to urban environmental elements through street view data and deep learning. [PDF]
Ho LC, Wei YT, Li D, Chiang YC.
europepmc +1 more source
A deep learning-based evaluation system for child-friendly urban streets integrating abstract and concrete features-A case of Shanghai Urban Street. [PDF]
Tu H, Miao X, Jin S.
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Examining streetscape visuals and emotional responses through social media and street view image analysis. [PDF]
Yang X, Shen J.
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Analyzing the effects of streetscape and land use on urban accidents and predicting future accidents by using machine learning algorithms (case study: Mashhad). [PDF]
Bagheri SAM +3 more
europepmc +1 more source
Dwell-photo nodes in classical garden tourism: a multimodal spatial analysis of Yipu. [PDF]
Zhang F, Wu Z, Zhou X.
europepmc +1 more source
Effects of greenery at different heights in neighbourhood streetscapes on leisure walking: a cross-sectional study using machine learning of streetscape images in Sendai City, Japan. [PDF]
Sakamoto S +5 more
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Dynamic Visual Assessment of Urban Streetscapes: Hengshan Street in Shanghai as a Case Study
Game changer? Planning for just and sustainable urban regions, Paris, 8-12th July 2024Objectives: By investigating the urban street-human perception nexus under "dynamic" walks, this paper aims to enhance urban streetscapes and optimize pedestrian ...
Wang, Xueling
core
Multiple dimension equity assessment of walking for visual and physical access to central parks across 27 Yangtze River Delta cities. [PDF]
Lin Z, Wang L, Zhen X.
europepmc +1 more source
Diagnosing the innovation atmosphere of industrial parks through urban spatial perception: a multimodal large language model approach. [PDF]
Chen X +5 more
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