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

How does the perception of informal green spaces in urban villages influence residents’ complaint Sentiments? a Machine learning analysis of Fuzhou City, China DOI Creative Commons
Zhengyan Chen,

Honghui Yang,

Peijin Ye

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112376 - 112376

Опубликована: Июль 18, 2024

Язык: Английский

Процитировано

6
Seasonal Variations in Psychophysiological Stress Recovery from Street Greenery: A Virtual Reality Study on Vegetation Structures and Configurations DOI

Chenlu Da,

Yongsheng Li,

Xinmei Gao

и другие.

Building and Environment, Год журнала: 2024, Номер 266, С. 112058 - 112058

Опубликована: Сен. 6, 2024

Язык: Английский

Процитировано

5
Emotional Perceptions of Thermal Comfort for People Exposed to Green Spaces Characterized Using Streetscapes in Urban Parks DOI Creative Commons

Benlu Xin,

Changfeng Zhu,

Jingjing Geng

и другие.

Land, Год журнала: 2024, Номер 13(9), С. 1515 - 1515

Опубликована: Сен. 18, 2024

Thermal comfort is a key determinant ruling the quality of urban park visits that mainly evaluated by equivalent meteorological factors and lacks evidence about its relationship with emotional perception. Exposure to green space was believed be an available approach increase thermal comfort, but this argument still needs verification confirm reliability. In study, ~15,000 streetscapes were photographed at stops along sidewalks for view index (GVI) plant diversity in five parks Changchun, Northeast China. The faces visitors captured analyze happy, sad, neutral scores as well two net positive emotion estimates. Meteorological temperature, relative humidity, wind velocity measured same time evaluating using variables discomfort (DI), temperature humidity (THI), cooling power (CP). At higher GVI, lower (slope: from −0.1058 −0.0871) −0.1273 −0.0524) found, 0.0871 0.8812), which resulted relationships between GVI DI (R2 = 0.3598, p < 0.0001) or CP 0.3179, 0.0001). Sad score positively correlated THI 0.0908, 0.0332) negatively 0.0929, 0.0294). high more emotions shown on visitors’ (happy minus sad scores, 0.31 ± 0.10). Plant had varied depending age. Overall, our study demonstrated imagery data extracted can useful comfort. It recommended plan large amount touchable nature provided vegetation so mitigate micro-climates towards trend evokes emotions.

Язык: Английский

Процитировано

4
Research into the Influence Mechanisms of Visual-Comfort and Landscape Indicators of Urban Green Spaces DOI Creative Commons
Yumeng Meng, Jiangnan Shi, Mei Lyu

и другие.

Land, Год журнала: 2024, Номер 13(10), С. 1688 - 1688

Опубликована: Окт. 16, 2024

Urban green spaces play a crucial role in providing social services and enhancing residents’ mental health. It is essential for sustainable urban planning to explore the relationship between human perceptions, particularly their visual comfort. However, most current research has analyzed using two-dimensional indicators (remote sensing), which often overlook perceptions. This study combined three-dimensional methods evaluate spaces. Additionally, employed machine learning quantify comfort green-space environments explored The results indicated that Kitakyushu exhibited moderate FCV an extremely low Green View Index (GVI). Yahatanishi-ku was characterized as having highest Tobata-ku demonstrated lowest Natural, GVI, openness, enclosure, vegetation diversity, landscape NDBI were positively correlated with ENVI negatively Vegetation diversity had impact on improving By integrating remote sensing street-view data, this introduces methodology ensure more holistic assessment of planners could use it better identify areas insufficient space or require improvement terms quality. Meanwhile, be helpful valuable input formulating effective policies overall environmental provides scientific foundation improve construction healthy cities.

Язык: Английский

Процитировано

3
Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China DOI Creative Commons

Xiaohua Guo,

Chang Liu,

Shibo Bi

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(2), С. 742 - 742

Опубликована: Янв. 13, 2025

The rapid increase in urban population density driven by development has intensified inequity green space distribution. Identifying the causes of changes equity and developing strategies to improve greening are crucial for optimizing resource allocation alleviating social inequalities. However, long-term spatio-temporal evolution visibility remains underexplored. This study utilized “Time Machine” feature capture street view images from 2014, 2017, 2021, analyzing its across residential communities Wuhan. Deep learning techniques statistical methods, including Gini coefficient location quotient (LQ), were employed assess distribution spatial street-level greenery. results showed that overall Wuhan increased 4.18% between 2014 2021. this improvement did not translate into better equity, as consistently ranged 0.4 0.5. Among seven municipal districts, only Jiang’an District demonstrated relatively equitable 2017 Despite a gradual reduction disparities visibility, mismatch persisted UGS growth distribution, leading uneven patterns equity. explores factors driving inequities proposes enhance greening. Key recommendations include integrating evaluation framework planning guide fair allocation, prioritizing greenery low-income neighborhoods, reducing hardscapes support planting maintenance tall canopy trees. These measures aim accessible visible resources promote access communities.

Язык: Английский

Процитировано

0
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
(Un)just Distribution of Visible Green Spaces? A Socio-Economic Window View Analysis on Residential Buildings: The City of Cologne as Case Study DOI Creative Commons
Anna-Maria Bolte, Thomas Kistemann, Youness Dehbi

и другие.

Journal of Geovisualization and Spatial Analysis, Год журнала: 2025, Номер 9(1)

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

0
Integrating Accessibility and Green View Index for Human-Scale Street Greening Initiatives: A Case Study Within Chengdu's Fourth Ring Road DOI

Huang Zhongshan,

Luo Shixian,

Cai Yiqing

и другие.

Journal of Resources and Ecology, Год журнала: 2025, Номер 16(2)

Опубликована: Апрель 4, 2025

Язык: Английский

Процитировано

0
Assessing green space exposure in high density urban areas: A deficiency-sufficiency framework for Shanghai DOI

Xinbei Wang,

ChengHe Guan

Ecological Indicators, Год журнала: 2025, Номер 175, С. 113494 - 113494

Опубликована: Апрель 26, 2025

Язык: Английский

Процитировано

0
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

Процитировано

0