How to Coordinate Urban Ecological Networks and Street Green Space Construction? Insights from a Multi-Scale Perspective DOI Creative Commons

Shujun Hou,

Ying Yu,

Taeyeol Jung

и другие.

Land, Год журнала: 2024, Номер 14(1), С. 26 - 26

Опубликована: Дек. 26, 2024

Rapid socio-economic development and imbalanced ecosystem conservation have heightened the risk of species extinction, reduced urban climate adaptability, threatened human health well-being. Constructing ecological green space networks is an effective strategy for maintaining security. However, most studies primarily addressed biodiversity needs, with limited focus on coordinating street spaces in settlement planning. This study examines area within Chengdu’s Third Ring Road, employing following methodologies: (1) constructing regional network using Morphological Spatial Pattern Analysis (MSPA), Integrated Valuation Ecosystem Services Trade-offs (InVEST) model, circuit theory; (2) analyzing view index (GVI) through machine learning semantic segmentation techniques; (3) identifying key areas coordinated bivariate spatial correlation analysis. The results showed that Road exhibits high landscape fragmentation, 41 sources 94 corridors identified. Ecological pinch points were located near rivers surrounding woodlands, while barrier concentrated dense buildings complex transportation networks. Higher GVI values observed around university campuses, parks, river-adjacent streets, lower found commercial hubs. To coordinate construction spaces, central First northwestern region Second Roads identified as priority restoration areas, northern, western, southeastern designated protection areas. adopts a multi-scale perspective to identify restoration, aiming provide new insights advancing civilization high-density

Язык: Английский

Microclimate vision: Multimodal prediction of climatic parameters using street-level and satellite imagery DOI Creative Commons
Kunihiko Fujiwara, Maxim Khomiakov, Winston Yap

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105733 - 105733

Опубликована: Авг. 14, 2024

Язык: Английский

Процитировано

10
Multidimensional Visual Preferences and Sustainable Management of Heritage Canal Waterfront Landscape Based on Panoramic Image Interpretation DOI Creative Commons
Jiang Xin, Xin Li, Miao Wang

и другие.

Land, Год журнала: 2025, Номер 14(2), С. 220 - 220

Опубликована: Янв. 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.

Язык: Английский

Процитировано

2
Coverage and bias of street view imagery in mapping the urban environment DOI
Zicheng Fan, Chen‐Chieh Feng, Filip Biljecki

и другие.

Computers Environment and Urban Systems, Год журнала: 2025, Номер 117, С. 102253 - 102253

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

2
Measuring pedestrian-level street greenery visibility through space syntax and crowdsourced imagery: A case study in London, UK DOI Creative Commons

M. H. Chen,

Ya-Qing Liu, Fan Liu

и другие.

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128725 - 128725

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2
Integrating Street View Images, Deep Learning, and sDNA for Evaluating University Campus Outdoor Public Spaces: A Focus on Restorative Benefits and Accessibility DOI Creative Commons

Tingjin Wu,

Deqing Lin,

Yi Chen

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 610 - 610

Опубликована: Март 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.

Язык: Английский

Процитировано

1
Design Strategies to Improve Metro Transit Station Walking Environments: Five Stations in Chongqing, China DOI Creative Commons

Chungui Yao,

Gaoyuan Li,

Shuiyu Yan

и другие.

Buildings, Год журнала: 2024, Номер 14(4), С. 1025 - 1025

Опубликована: Апрель 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.

Язык: Английский

Процитировано

7
A perception-powered urban digital twin to support human-centered urban planning and sustainable city development DOI
Junjie Luo, Pengyuan Liu,

Wenhui Xu

и другие.

Cities, Год журнала: 2024, Номер 156, С. 105473 - 105473

Опубликована: Окт. 21, 2024

Язык: Английский

Процитировано

7
Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning DOI Creative Commons
Chen Cai, Jian Wang, Dong Li

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Дек. 4, 2024

Urban greening plays a crucial role in maintaining environmental sustainability and enhancing people's well-being. However, limited by the shortcomings of traditional methods, studying heterogeneity nonlinearity between factors green view index (GVI) still faces many challenges. To address concerns nonlinearity, spatial heterogeneity, interpretability, an interpretable machine learning framework incorporating Geographically Weighted Random Forest (GWRF) model SHapley Additive exPlanation (Shap) is proposed this paper. In paper, we combine multi-source big data, such as Baidu Street View data remote sensing images, utilize semantic segmentation models geographic processing techniques to study global local interpretation Beijing region with GVI key indicator. Our research results show that: (1) Within Sixth Ring Road Beijing, shows significant clustering phenomenon positive correlation linkage, at same time exhibits differences; (2) Among variables, increase coverage rate has most effect on GVI, while building density strong negative GVI; (3) The performance GWRF predicting excellent far exceeds that comparison models.; (4) Whether it rate, urban built environment or socioeconomic factors, their influence non-linear characteristics certain threshold effect. With help these influences explicit effects, quantitative analyses are provided, which can assist planners making more scientific rational decisions when allocating resources.

Язык: Английский

Процитировано

5
A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies DOI Creative Commons
Kunihiko Fujiwara, Koichi Ito, Marcel Ignatius

и другие.

Building and Environment, Год журнала: 2024, Номер 266, С. 112071 - 112071

Опубликована: Сен. 13, 2024

Язык: Английский

Процитировано

3
Comprehensive Comparative Analysis and Innovative Exploration of Green View Index Calculation Methods DOI Creative Commons

D.C. Yin,

Terumitsu HIRATA

Land, Год журнала: 2025, Номер 14(2), С. 289 - 289

Опубликована: Янв. 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.

Язык: Английский

Процитировано

0