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References from Visual perception of landscape renovation in Qinyang’s historical and cultural streets: evidence from eye tracking of static streetscape images. Local targets link to admitted publications; unresolved targets remain external evidence.
Street view imagery in urban analytics and GIS: a review
10.1016/j.landurbplan.2021.104217 · 2021 · External reference
Evaluation and validation of street space quality in historical and cultural districts based on self-collected street view data
10.12082/dqxxkx.2025.250138 · 2025 · External reference
A study on the visual perception of cultural value characteristics of traditional southern Fujian architecture based on eye tracking
10.3390/buildings14113529 · 2024 · External reference
Visual aesthetic quality assessment of the streetscape from the perspective of landscape-perception coupling
10.1016/j.eiar.2024.107535 · 2024 · External reference
Visual comfort impact assessment for walking spaces of urban historic district in China based on semantic segmentation algorithm
10.1016/j.eiar.2025.107917 · 2025 · External reference
Themes and trends in visual assessment research: introduction to the landscape and urban planning special collection on the visual assessment of landscapes
10.1016/j.landurbplan.2019.103635 · 2019 · External reference
Visual behavior characteristics of historical landscapes based on eye-tracking technology
10.1080/13467581.2024.2306361 · 2024 · External reference
Tracking restoration in natural and urban field settings
10.1016/s0272-4944(02)00109-3 · 2003 · External reference
The spatial perception of micro-transformation in historic district based on visual methodology
10.3969/j.issn.1004-9479.2019.04.2018248 · 2019 · External reference
Street space visual quality evaluation method of tourism sites based on street view images
10.12082/dqxxkx.2024.220404 · 2024 · External reference
Understanding urban perception with visual data: a systematic review
10.1016/j.cities.2024.105169 · 2024 · External reference
Aesthetic preference and mental restoration prediction in urban parks: an application of environmental modeling approach
10.1016/j.ufug.2020.126775 · 2020 · External reference
Visual perception of environmental elements analysis in historical district based on eye-tracking and semi-structured interview: a case study in Xining, Taishan
10.3390/buildings15091554 · 2025 · External reference
Assessment of perceived and physical walkability using street view images and deep learning technology
10.3390/ijgi12050186 · 2023 · External reference
Evaluation of green view perception of walking environment in historical blocks based on green view attenuation curve: a case study of Tongwen area, Zhongshan road of Xiamen
10.14085/j.fjyl.2020.11.0110.06 · 2020 · External reference
Integrating eye-movement analysis and the semantic differential method to analyze the visual effect of a traditional commercial block in Hefei, China
10.1016/j.foar.2021.01.002 · 2021 · External reference
The influence of architectural heritage and tourists’ positive emotions on behavioral intentions using eye-tracking study
10.1038/s41598-024-85009-4 · 2025 · External reference
Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkability
10.1016/j.landurbplan.2022.104603 · 2023 · External reference
Assessing street-level urban greenery using Google street view and a modified green view index
10.1016/j.ufug.2015.06.006 · 2015 · External reference
Measuring the effectiveness of street renewal design: insights from visual preference surveys, deep-learning technology, and eye-tracking simulation software
10.1016/j.landurbplan.2024.105291 · 2025 · External reference
Developing an urban streetscape indexing based on visual complexity and self-organizing map
10.1016/j.buildenv.2023.110549 · 2023 · External reference
Visualizing evaluation model of human perceptions and characteristic indicators of landscape visual quality in urban green spaces by using nomograms
10.1016/j.ufug.2021.127314 · 2021 · External reference
Deep learning meets urban design: assessing streetscape aesthetic and design quality through AI and cluster analysis
10.1016/j.cities.2025.105939 · 2025 · External reference
Advanced integration of urban street greenery and pedestrian flow: a multidimensional analysis in Chengdu's central urban district
10.3390/ijgi13070254 · 2024 · External reference
Quantitative evaluation of attraction intensity of highway landscape visual elements based on dynamic perception
10.1016/j.eiar.2023.107081 · 2023 · External reference
Assessing and comparing the visual comfort of streets across four Chinese megacities using AI-based image analysis and the perceptive evaluation method
10.3390/land12040834 · 2023 · External reference
Assessing street space quality using street view imagery and function-driven method: the case of Xiamen, China
10.3390/ijgi11050282 · 2022 · External reference
Perceptions of built environment and health outcomes for older Chinese in Beijing: a big data approach with street view images and deep learning technique
10.1016/j.compenvurbsys.2019.101386 · 2019 · External reference
Factors influencing visual landscape quality perceived by the public: results from a national survey
10.1016/j.landurbplan.2020.104024 · 2021 · External reference
Development of a system for assessing the quality of urban street-level greenery using street view images and deep learning
10.1016/j.ufug.2021.126995 · External reference
Sky view factor estimation from street view images based on semantic segmentation
10.1016/j.uclim.2021.100999 · External reference
Research on visual experience evaluation of fortress heritage landscape by integrating SBE-SD method and eye movement analysis
10.1186/s40494-024-01397-w · 2024 · External reference
Understanding the nonlinear effects of the street canyon characteristics on human perceptions with street view images
10.1016/j.ecolind.2023.110756 · 2023 · External reference
A study on visual impact assessment of the enclosing wall entourage of Chinese traditional private garden
10.1016/j.eiar.2024.107427 · 2024 · External reference
The visual quality of streets: a human-centred continuous measurement based on machine learning algorithms and street view images
10.1177/2399808319828734 · 2019 · External reference
Urban visual intelligence: studying cities with artificial intelligence and street-level imagery
10.1080/24694452.2024.2313515 · 2024 · External reference
Measuring urban green space exposure based on street view images and machine learning
10.3390/f15040655 · 2024 · External reference
Visual perception differences and spatiotemporal analysis in commercialized historic streets based on mobile eye tracking: a case study in Nanchang Wanshou palace, China
10.3390/buildings14071899 · 2024 · External reference
Landscape perception: research, application and theory
10.1016/0304-3924(82)90009-0 · 1982 · External reference
