Impacts of Urban Morphology on Seasonal Land Surface Temperatures: Comparing Grid- and Block-Based Approaches DOI Creative Commons

Gyuwon Jeon,

Yujin Park, Jean‐Michel Guldmann

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2023, Номер 12(12), С. 482 - 482

Опубликована: Ноя. 28, 2023

Climate change is expected to result in increased occurrences of extreme weather events such as heat waves and cold spells. Urban planning responses are crucial for improving the capacity cities communities deal with significant temperature variations across seasons. This study aims investigate relationship between urban fluctuations morphology throughout four Through quadrant statistical analyses, built-environment factors identified that moderate or exacerbate seasonal land surface temperatures (LSTs). The focus on Seoul, South Korea, a case study, LST values calculated at both grid (100 m × 100 m) street block levels, incorporating vegetation density, use patterns, albedo, two- three-dimensional building forms, gravity indices large forests water bodies. analysis reveals spatial segregation areas demonstrating high adaptability (cooler summers warmer winters) those displaying vulnerability (hotter colder winters), differences forms. Spatial regression analyses demonstrate higher density proximity bodies play key roles moderating LSTs, leading cooler winters. Building characteristics have constant impact LSTs all seasons: horizontal expansion increases LST, while vertical reduces LST. These findings consistent grid- block-level analyses. emphasizes flexible role natural environment temperatures.

Язык: Английский

Tackling the modifiable areal unit problem: Enhancing urban sustainability through improved land surface temperature and its influencing factors analysis DOI
Haojian Deng, Kai Liu, Jiali Feng

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105747 - 105747

Опубликована: Авг. 18, 2024

Язык: Английский

Процитировано

4

Spatial effect of urban morphology on land surface tempature from the perspective of local climate zone DOI
Xinyue Wang, Jun Yang, Wenbo Yu

и другие.

Remote Sensing Applications Society and Environment, Год журнала: 2024, Номер 36, С. 101324 - 101324

Опубликована: Авг. 18, 2024

Язык: Английский

Процитировано

4

Analyzing the impact of urban morphology on solar potential for photovoltaic panels: A comparative study across various European climates DOI

Jaçela Merollari,

Sokol Dervishi

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105854 - 105854

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4

Surface energy balance-based surface urban heat island decomposition at high resolution DOI
Fengxiang Guo, Jiayue Sun, Die Hu

и другие.

Remote Sensing of Environment, Год журнала: 2024, Номер 315, С. 114447 - 114447

Опубликована: Окт. 5, 2024

Язык: Английский

Процитировано

4

Scale-Dependent Relationships Between Urban Morphology and Noise Perception: A Multi-Scale Spatiotemporal Analysis in New York City DOI Creative Commons

Siting Chen,

Bingjie Yu,

Guang Shi

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 476 - 476

Опубликована: Фев. 25, 2025

Urban morphology significantly influences residents’ noise perceptions, yet the impact across different spatial and temporal scales remains unclear. This study investigates scale-dependent relationship between urban perception in New York City using complaint rates (NCR) as a proxy for perceived levels. A multi-scale analysis framework was applied, including four (100 m, 200 500 1000 m) three classifications (daytime/nighttime/dawn, weekdays/weekends, seasonal divisions). Statistical analyses, Spearman correlation, Moran’s I test, Geographically Weighted Regression (GWR), examined spatiotemporal heterogeneity. Results show: (1) NCR indicators vary aggregations. (2) Correlations generally strengthen with larger units, revealing scale effect. Temporal variations, e.g., residential land ratio (RES) greenery percentage (SVI Green), show stronger correlations summer than winter. (3) The index revealed significant clustering at m scale. Multi-temporal GWR variations morphology-noise relationships contexts; areas, building density exacerbates complaints more during non-working periods working hours. enhances understanding of sound environments, offering insights required precise planning policies.

Язык: Английский

Процитировано

0

Simplifying morphological indicators: Linking building morphology and microclimate effects through exploratory factor analysis DOI
Zhaoqian Sun, Bohong Zheng,

Qianli Ouyang

и другие.

International Journal of Biometeorology, Год журнала: 2025, Номер unknown

Опубликована: Март 7, 2025

Язык: Английский

Процитировано

0

Discovering morphological impact discrepancies on thermal environment among urban functional zones using essential urban land use categories and machine learning DOI

Minghao Zuo,

Muhan Li, Hanyan Li

и другие.

Urban Climate, Год журнала: 2025, Номер 61, С. 102423 - 102423

Опубликована: Апрель 20, 2025

Язык: Английский

Процитировано

0

A comprehensive metric scheme for characterizing the heterogeneity of urban thermal landscapes: A case study of 14-year evaluation in Beijing DOI Creative Commons
Fengxiang Guo, Die Hu, Uwe Schlink

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112268 - 112268

Опубликована: Июнь 21, 2024

Язык: Английский

Процитировано

3

Deciphering the effects of 2D/3D urban morphology on diurnal cooling efficiency of urban green space DOI
Wanben Wu, Fengxiang Guo, Sebastian Elze

и другие.

Building and Environment, Год журнала: 2024, Номер 266, С. 112047 - 112047

Опубликована: Сен. 3, 2024

Язык: Английский

Процитировано

3

Multi-dimensional analysis of land use/land cover and urbanization on seasonal variation of land surface temperature in İzmir, Türkiye DOI
Öznur Işınkaralar, Kaan Işınkaralar, Dilara YILMAZ

и другие.

Landscape and Ecological Engineering, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 9, 2024

Язык: Английский

Процитировано

3