Understanding seasonal contributions of urban morphology to thermal environment based on boosted regression tree approach

Building and Environment, Год журнала: 2022, Номер 226, С. 109770 - 109770

Опубликована: Ноя. 5, 2022

Язык: Английский

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Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes

Building and Environment, Год журнала: 2023, Номер 237, С. 110295 - 110295

Опубликована: Апрель 18, 2023

Geospatial data of the building stock is essential in many domains pertaining to built environment. These datasets are often provided by governments, but crowdsourcing them has surged last decade. Nowadays, OpenStreetMap (OSM) – most popular Volunteered Geographic Information (VGI) platform contains geospatial and descriptive on more than 500 million buildings worldwide collected millions contributors, it increasingly used studies ranging from energy microclimate urban planning life cycle assessment. However, large-scale understanding their quality remains limited, which may hinder use management. In this paper, we seek understand state information OSM whether a reliable source such data. We provide comprehensive study assess attribute (descriptive) mapped globally, e.g. function, key ingredients analyses simulations examine three aspects: completeness, consistency, accuracy. assessment, first at scale available hitherto, find that continues be highly heterogeneous — poor some, very high completeness other areas, potentially benefiting range application domains, estimate 3D models 443 administrative units (mostly cities municipalities) around world can generated OSM, underpinning generation digital twins. The number floors type frequent properties contributors record, cases accurate, while mapping interior did not gain momentum.

Язык: Английский

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The roles of surrounding 2D/3D landscapes in park cooling effect: Analysis from extreme hot and normal weather perspectives

Building and Environment, Год журнала: 2023, Номер 231, С. 110053 - 110053

Опубликована: Янв. 30, 2023

Язык: Английский

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Assessing the impact of fractional vegetation cover on urban thermal environment: A case study of Hangzhou, China

Sustainable Cities and Society, Год журнала: 2023, Номер 96, С. 104663 - 104663

Опубликована: Май 21, 2023

Язык: Английский

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Machine learning in modelling the urban thermal field variance index and assessing the impacts of urban land expansion on seasonal thermal environment

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105345 - 105345

Опубликована: Март 14, 2024

Язык: Английский

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How 2D and 3D built environments impact urban surface temperature under extreme heat: A study in Chengdu, China

Building and Environment, Год журнала: 2023, Номер 231, С. 110035 - 110035

Опубликована: Янв. 23, 2023

Язык: Английский

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Exploring the seasonal effects of urban morphology on land surface temperature in urban functional zones

Sustainable Cities and Society, Год журнала: 2024, Номер 103, С. 105268 - 105268

Опубликована: Фев. 9, 2024

Язык: Английский

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Exploring the Nonlinear Interplay between Urban Morphology and Nighttime Thermal Environment

Sustainable Cities and Society, Год журнала: 2024, Номер 101, С. 105176 - 105176

Опубликована: Янв. 5, 2024

Язык: Английский

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Spatial coupling relationship between architectural landscape characteristics and urban heat island in different urban functional zones

Building and Environment, Год журнала: 2024, Номер 257, С. 111545 - 111545

Опубликована: Апрель 20, 2024

The process of urbanization exacerbates the urban heat island phenomenon. In order to reasonably identify functional zones, and reveal influence buildings on land surface temperature (LST). Guiyang, a multi-mountainous city in China, was taken as research area, Open Street Map (OSM) use type data were used zones. Subsequently, correlation between building morphology metrics LST analyzed using Pearson boosted regression tree (BRT) model. results showed that: (1) There significant differences among different (2) relative contribution value density (BD) high, it significantly exacerbated effect across all with maximum impact reaching 2.5°C Utility zone. (3) Mean height (MBH), Southerly wind speed (S_Wind speed) Landscape shape index (LSI_Building) had alleviating thermal environment, mitigation degree highest Residential zone Ecological zone, 0.6°C, 0.8°C 2.0°C, respectively. This study enhances our understanding relationship functions LST, providing valuable insights for mitigating environment promoting sustainable development.

Язык: Английский

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Thermal hazards in urban spaces: A review of climate-resilient planning and design to reduce the heat stress

Urban Climate, Год журнала: 2025, Номер 59, С. 102296 - 102296

Опубликована: Янв. 25, 2025

Язык: Английский

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