Evaluating implied urban nature vitality in San Francisco: An interdisciplinary approach combining census data, street view images, and social media analysis

Urban forestry & urban greening, Год журнала: 2024, Номер 95, С. 128289 - 128289

Опубликована: Март 15, 2024

Язык: Английский

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Nonlinear and threshold effects of the built environment, road vehicles and air pollution on urban vitality

Landscape and Urban Planning, Год журнала: 2024, Номер 253, С. 105204 - 105204

Опубликована: Сен. 19, 2024

Язык: Английский

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Investigating the relationship between built environment and urban vitality using big data

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 2, 2025

Язык: Английский

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Residents’ seasonal behavior patterns and spatial preferences in public open spaces of severely cold regions: Evidence from Harbin, China

Habitat International, Год журнала: 2025, Номер 156, С. 103279 - 103279

Опубликована: Янв. 7, 2025

Язык: Английский

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GWPCA-based spatial analysis of urban vitality: a comparative assessment of three high-altitude Himalayan towns in India

Journal of Spatial Science, Год журнала: 2023, Номер 69(2), С. 593 - 620

Опубликована: Окт. 18, 2023

ABSTRACTUrban vitality comprises the livingness, vibrancy and attractiveness of urban areas. This research analyzes in three Himalayan towns India: Darjeeling, Kalimpong, Kurseong. Using GWPCA method, 29 indicators across six domains were considered to develop a comprehensive index (UVI). The study also explores how growth design influence these towns. With help LISA Moran's I analyses, determines that town centers display high vitality. findings highlight role expansion patterns European-style blocks maintaining this vibrancy.KEYWORDS: Urban vitalityGWPCAurban expansionspatial analysisGIS AcknowledgmentsFirstly, authors would like express cordial thanks Department Geography Applied Geography, University North Bengal for providing opportunity conducting work. paper was completed during tenure UGC-JRF period. Furthermore, extend their sincere appreciation Editor-in-Chief Associate Editor invaluable comments suggestions. Lastly, are deeply grateful anonymous reviewers insightful remarks innovative ideas, which have substantially enriched content article.Disclosure statementNo potential conflict interest reported by author(s).Credit authorshipS.R. S.M. – Writing Original Draft, Conceptualisation, Formal analysis, Investigation, Methodology, Software, Visualisation, Review & Editing, Supervision. A.B. InvestigationI.R.C. Editing.Data availability statementThe data can be provided upon reasonable request from corresponding author.Informed consentAll co-authors read article before submission every step is informed all co-authors.

Язык: Английский

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Portraying business district vibrancy with mobile phone data and optimal parameters-based geographical detector model

Sustainable Cities and Society, Год журнала: 2023, Номер 96, С. 104635 - 104635

Опубликована: Май 10, 2023

Язык: Английский

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Urban engineering insights: Spatiotemporal analysis of land surface temperature and land use in urban landscape

Alexandria Engineering Journal, Год журнала: 2024, Номер 92, С. 273 - 282

Опубликована: Март 7, 2024

In the field of urban environment engineering, understanding relationship between land surface temperature (LST) and use cover (LULC) is essential in rapidly growing climatically unstable landscapes such as Chengdu. It helps alleviate magnitude intensity Urban Heat Islands (UHIs). Toward this aim, summer winter Landsat images were acquired four years from 1992 to 2021 used extract LULC classes, LST three indices Normalized Difference Vegetation Index (NDVI), Built-up (NDBI), Modified Water (MNDWI) analyze their spatiotemporal associations. Results showed that built-up areas expanded approximately six times (820.82 Km2, 584.96%) 2021. Meanwhile, mean increased both seasons, by 9.94 °C 0.95 winter. The LST-NDBI correlation was significant positive studied (0.437< r <0.874, p=0.00) while a very high variability observed LST-NDVI (-0.835< <0.255, LST-MNDWI (-0.632< <0.628, coefficients. According results, NDBI can be good intra- inter-annual predictor Chengdu, especially context its fast-paced physical expansion increasing UHI.

Язык: Английский

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Identification of 71 factors influencing urban vitality and examination of their spatial dependence: A comprehensive validation applying multiple machine-learning models

Sustainable Cities and Society, Год журнала: 2024, Номер 108, С. 105491 - 105491

Опубликована: Май 1, 2024

Язык: Английский

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Exploring the Relationship between Urban Vibrancy and Built Environment Using Multi-Source Data: Case Study in Munich

Remote Sensing, Год журнала: 2024, Номер 16(6), С. 1107 - 1107

Опубликована: Март 21, 2024

Urbanization has profoundly reshaped the patterns and forms of modern urban landscapes. Understanding how transportation mobility are affected by spatial planning is vital. Urban vibrancy, as a crucial metric for monitoring development, contributes to data-driven sustainable growth. However, empirical studies on relationship between vibrancy built environment in European cities remain limited, lacking consensus contribution environment. This study employs Munich case study, utilizing night-time light, housing prices, social media, points interest (POIs), NDVI data measure various aspects while constructing comprehensive assessment framework. Firstly, distribution correlation types revealed. Concurrently, based 5Ds indicator system, multi-dimensional influence investigated. Subsequently, Geodetector model explores heterogeneity indicators along with its economic, social, cultural, environmental dimensions, elucidating their mechanism. The results show following: (1) exhibits pronounced uneven distribution, higher central western areas lower northern areas. High-vibrancy concentrated major roads metro lines located commercial educational centers. (2) Among multiple models, geographically weighted regression (GWR) demonstrates highest explanatory efficacy vibrancy. (3) Economic, significantly influenced environment, substantial positive effects from POI density, building road intersection mixed land use shows little impact. (4) Interactions among factors impact synergistic interactions population density generating effects. These findings provide valuable insights optimizing resource allocation functional layout Munich, emphasizing complex spatiotemporal offering guidance planning.

Язык: Английский

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Multi-method analysis of urban green space accessibility: Influences of land use, greenery types, and individual characteristics factors

Urban forestry & urban greening, Год журнала: 2024, Номер 96, С. 128366 - 128366

Опубликована: Май 15, 2024

Urban green spaces (UGS) are an important foundation for supporting sustainable urban development and benefiting the well-being of residents. However, access to is a complex dynamic process. Existing studies have mainly used single method assess UGS accessibility, research on influencing factors has less focused multi-variable perspective. In this study, we innovatively integrated four methods—Container, Distance, Gravity, 2SFCA—to accessibility at LSOA level in Inner London. We examined impact land use patterns, space types, individual characteristics accessibility. Then, Spearman's correlation analysis Ordinary Least Squares (OLS) regression model were check relationship between multiple variables with The main findings as follows: (1) results based multi-method reflect variation distribution London, more than 80% LSOAs having below-average accessibility; (2) significantly influenced by factors, particularly race, income, education, crime, office, residential, non-park (multiple types beyond parks). This study highlights inequalities suggests strategies policymakers improve integration planning.

Язык: Английский

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