Cited by Measurement of the relationship between the built environment and the structural characteristics of the road network based on street view images

Multidimensional Visual Preferences and Sustainable Management of Heritage Canal Waterfront Landscape Based on Panoramic Image Interpretation DOI

Jiang Xin, Xin Li, Miao Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 220 - 220

Published: Jan. 22, 2025

As an important type of linear cultural heritage and a waterfront landscape that integrates both artificial natural elements, canals provide the public with multidimensional perceptual experience encompassing aesthetics, culture, nature. There remains lack refined, micro-level studies on canal landscapes from perspective visual preference. This study focuses typical segment Grand Canal in China, specifically ancient section Yangzhou. We employed SegFormer image semantic segmentation techniques to interpret features 150 panoramic images, quantitatively identifying environmental characteristics canal. Four dimensions were constructed: aesthetic preference, hydrophilic Through questionnaire survey various statistical analyses, we revealed relationships between preferences for characteristics. The main findings include following: (1) Aesthetic preference is positively correlated cultural, natural, preferences, while shows negative correlation preferences. (2) influenced by combination blue-green elements factors. Natural primarily affected increased vegetation visibility, associated higher proportion facilities high-quality pavements, linked larger water surface areas, fewer barriers, better quality. (3) are spatial differences across different urban old city exhibiting aesthetic, than new suburban areas. Finally, this proposes strategies optimising enhancing quality canals, aiming sustainable practical guidance future planning management these sites.

Language: Английский

Citations

Coverage and bias of street view imagery in mapping the urban environment DOI

Zicheng Fan, Chen‐Chieh Feng, Filip Biljecki

et al.

Computers Environment and Urban Systems, Journal Year: 2025, Volume and Issue: 117, P. 102253 - 102253

Published: Jan. 23, 2025

Language: Английский

Citations

Microclimate vision: Multimodal prediction of climatic parameters using street-level and satellite imagery DOI

Kunihiko Fujiwara, Maxim Khomiakov, Winston Yap

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105733 - 105733

Published: Aug. 14, 2024

Language: Английский

Citations

Design Strategies to Improve Metro Transit Station Walking Environments: Five Stations in Chongqing, China DOI

Chungui Yao,

Gaoyuan Li,

Shuiyu Yan

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(4), P. 1025 - 1025

Published: April 6, 2024

While transit-oriented development (TOD) has been widely adopted in urban design alongside the expansion of metro transit, creation pedestrian-friendly environments often overlooked during implementation. This resulted a lower walking advantage around transit stations. To address this issue and encourage public transport use station areas, study undertook quantitative comparative analysis pedestrian environment five Chongqing areas. The focused on three key dimensions: “comprehensive evaluation”, “basic scale”, “structural quality”. comprehensive evaluation considered factors such as catchment area ratio, POI kernel density distribution, crowd agglomeration. basic scale dimension comprised floor building density, road quantity entrances exits. Finally, structural quality included land type mixing degree, function intersection connectivity, median street length, route directness, green view index. Based these analyses, proposes series strategies including transportation. for advocate “developing compact diverse use”, “strengthening attraction center”, “positioning large projects edge”, “restricting private transportation capabilities”. consist “increasing density”, “traffic calming organization”, “subdivision types”, “three-dimensional traffic system”. These aim to create more humanized environmentally friendly environment, proactively rise challenge climate change, thereby cultivating sustainable development.

Language: Английский

Citations

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

Comprehensive Comparative Analysis and Innovative Exploration of Green View Index Calculation Methods DOI

D.C. Yin,

Terumitsu HIRATA

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 289 - 289

Published: Jan. 30, 2025

Despite the widespread use of street view imagery for Green View Index (GVI) analyses, variations in sampling methodologies across studies and potential impact these differences on results, including associated errors, remain largely unexplored. This study aims to investigate effectiveness various GVI calculation methods, with a focus analyzing point selection coverage angles results. Through systematic review extensive relevant literature, we synthesized six predominant methods: four-quadrant method, six-quadrant eighteen-quadrant panoramic fisheye method pedestrian method. We further evaluated strengths weaknesses each approach, along their applicability different research domains. In addition, address limitations existing methods specific contexts, developed novel technique based three 120° images experimentally validated its feasibility accuracy. The results demonstrate method’s high reliability, making it valuable tool acquiring images. Our findings that choice significantly influences calculations, underscoring necessity researchers select optimal approach context. To mitigate errors arising from initial angles, this introduces concept, “Green Circle”, which enhances precision calculations through meticulous segmentation observational particularly complex urban environments.

Language: Английский

Citations

How far and discernible are public toilets? A city-scale study using spatial analytics and deep learning in Nanjing, China DOI

Dai Yue,

Lifei Wang, Zhen Xu

et al.

Journal of Urban Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

Measuring pedestrian-level street greenery visibility through space syntax and crowdsourced imagery: A case study in London, UK DOI

M. H. Chen,

Ya-Qing Liu, Fan Liu

et al.

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128725 - 128725

Published: Feb. 1, 2025

Language: Английский

Citations

Integrating Street View Images, Deep Learning, and sDNA for Evaluating University Campus Outdoor Public Spaces: A Focus on Restorative Benefits and Accessibility DOI

Tingjin Wu,

Deqing Lin,

Yi Chen

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 610 - 610

Published: March 13, 2025

The mental health of university students has received much attention due to the various pressures studies, life, and employment. Several studies have confirmed that campus public spaces contain multiple restorative potentials. Yet, space is still not ready meet students’ new need for percetions. Renewal practices integrate multi-issues are becoming more important, further clarification measurement methods optimization pathways also needed. This study applied semantic segmentation technique deep learning model extract feature indicators outdoor based on street view image (SVI) data. subjective evaluation small-scale SVIs was obtained using perceived scale-11 (PRS-11) questionnaire. On this basis, benefit models were established, including explanatory predictive models. used Pearson’s correlation linear regression analysis identify key affecting benefits, XGBoost 1.7.3 algorithm predict scores scale. accessibility results from sDNA then overlayed form a comprehensive assessment matrix restoration benefits dimensions “areas with potential”. In way, three types spatial (LRB-HA, HRB-LA, LRB-LA) sequential orders temporal (short-term, medium-term, long-term) combined propose dual control accessibility. provides methodological guidelines empirical data regeneration promotes efficiency. addition, it can offer positive references neighborhood-scale urban design sustainable development.

Language: Английский

Citations

Spatial pattern and heterogeneity of green view index in mountainous cities: a case study of Yuzhong district, Chongqing, China DOI

Aiping Gou, X Y Wang, Jiangbo Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 12, 2025

The Green View Index (GVI) is utilized to evaluate urban street value and ecosystem services gauge public perceptions of greening. This study investigates the spatial heterogeneity GVI its influencing factors in Yuzhong District, Chongqing, a mountainous city China. Deep learning algorithms were employed calculate green visibility view images, Geographic Weighted Regression (GWR) Optimal Parameter-Based Geodetector (OPGD) analyze relationships between such as road physical attributes, Normalized Difference Vegetation (NDVI), topographic features. results indicate that: (1) In 58.9% streets have within low moderate range, suggesting room for improvement. Higher levels are generally associated with elevated Digital Elevation Models (DEM), while slope, aspect, terrain undulation relatively minor overall impacts on GVI. (2) highest western regions lowest eastern regions, along riversides exhibiting lower levels. (3) GWR analysis reveals that type NDVI significantly influence DEM values promote increased GVI, whereas high density suppresses it. (4) interaction drives differentiated distribution area. effects Road type, NDVI, particularly notable among these.

Language: Английский

Citations