Assessment of visual landscape quality of urban green spaces using image-based metrics derived from perceived sensory dimensions

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 102, P. 107200 - 107200

Published: July 12, 2023

Language: Английский

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The Relation between Green Visual Index and Visual Comfort in Qingdao Coastal Streets

Buildings, Journal Year: 2023, Volume and Issue: 13(2), P. 457 - 457

Published: Feb. 7, 2023

The public’s mental health is obviously impacted by the perception of green quantity in urban streets. As one important spatial indicators, Green View Index (GVI) reflects streets, which helpful revealing level street vegetation from perspective pedestrians. GVI can improve attraction and visual experience Taking Qingdao Coastal Streets as an example, study used OpenStreetMap, Baidu Street (BSV) image, DeepLabV3+ semantic segmentation, SD method to obtain Visual Comfort (VICO), correlation influence mechanisms were discussed. result showed that greening landscape overall was high quality, historic district most outstanding. quality a little low transitional western modern district, should be improved. In addition, relationship between VICO strong positive correlation. distribution more consistent with GVI. affected GVI, plant richness, scale, diversity. Moreover, increase trend instead gradually decreased. contribution this not only accurately diagnosing problems shedding light on VICO, but also providing theoretical support for planning management, especially healthy design.

Language: Английский

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How Should Soundscape Optimization from Perceived Soundscape Elements in Urban Forests by the Riverside Be Performed?

Land, Journal Year: 2023, Volume and Issue: 12(10), P. 1929 - 1929

Published: Oct. 17, 2023

Urban forests by the riverside are important habitats for various animals and contribute soundscapes citizens. Unfortunately, urban exposed to influence of traffic noises from freeways. This study aims explore spatial temporal variation soundscape, conduct soundscape optimization multiple parameters, find a balance its interval elements through optimizing map. Questionnaires measuring equipment were used gather information in an forested area Fuzhou, China. Diurnal variations mapping analyze psychophysical relationships between drivers. We then conducted map, which included normalization, critical value determination, target optimal SPL modification mapping. Our findings suggest that biological activities natural phenomena potential drivers diurnal soundscapes, especially tidal contributing water shipping soundscapes. results also all high values perceived found at southwest corner area, includes both forest elements. Furthermore, we combining correction maps aid sustainable design forests. can understanding methodology map when proposing suitable plans conservation territorial sound.

Language: Английский

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A 3D visible space index for evaluating urban openness based on the digital urban model

International Journal of Geographical Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: Sept. 13, 2024

Language: Английский

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The greener the living environment, the better the health? Examining the effects of multiple green exposure metrics on physical activity and health among young students

Environmental Research, Journal Year: 2024, Volume and Issue: 250, P. 118520 - 118520

Published: Feb. 23, 2024

Language: Английский

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Making residential green space exposure evaluation more accurate: A composite assessment framework that integrates objective and subjective indicators

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: 95, P. 128290 - 128290

Published: March 15, 2024

Language: Английский

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Is the spatial distribution of urban green space associated with crime in Chicago?

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: 95, P. 128282 - 128282

Published: March 9, 2024

Language: Английский

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Research on Campus Space Features and Visual Quality Based on Street View Images: A Case Study on the Chongshan Campus of Liaoning University

Buildings, Journal Year: 2023, Volume and Issue: 13(5), P. 1332 - 1332

Published: May 19, 2023

As the university campus is a place for learning, conducting scientific research, and communication, street spatial quality has an impact on its users. Therefore, refinement evaluations of are essential constructing high-quality campuses. In this study, machine learning was used to conduct semantic segmentation perception prediction view images. The physical features surrounding areas Chongshan Liaoning University were obtained. study found that visual beautiful (VBQ) student living area highest, VBQ teacher lowest when compared research area, sports area. Greenness openness had positive influences VBQ, while enclosure negative influence. This analyzed influence mechanism operating between VBQ. results provide theoretical technical support space construction improvement.

Language: Английский

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Bridging the gap between pedestrian and street views for human-centric environment measurement: A GIS-based 3D virtual environment

Landscape and Urban Planning, Journal Year: 2023, Volume and Issue: 240, P. 104873 - 104873

Published: Sept. 9, 2023

Language: Английский

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Multidisciplinary parameters for characterizing the 3D urban morphology: An overview based on the relational perspective

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105364 - 105364

Published: March 22, 2024

Language: Английский

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