Spatial characteristics and optimization of urban living space carbon suitability index (ULS-CSI) in Tianjin, China DOI Creative Commons

Zhaowei Yin,

Xiaoping Zhang, Peng Chen

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Авг. 26, 2024

The global climate crisis is escalating, and urban living Space (ULS) a significant contributor to carbon emissions. How improve the suitability of ULS while promoting social economic development issue. This study aims develop an evaluation system for comparing analyzing inequality spatial differences in different areas. To achieve this goal, space index (ULS-CSI) based on organizational (SOI) has been proposed. ULS-CSI was calculated at area scale Tianjin using information from Land Use Database 2021. emissions coefficient method used calculate (ULSCE). Moran’I LISA analysis were quantify ULS-CSI. results showed that residential (RLA) highest scale, with 1.14 × 10 11 kg, accounting 33.74%. green leisure (GLA) absorption 5.76 5 32.33%. SOI areas have heterogeneity as such building area, road network density land use characteristics are significantly Areas superior CSI primarily situated Heping, Hexi, Nankai, Beichen, 83.90%. Conversely, under basic threshold included Xiqing, Jinnan, Dongli, 16.10%. Spatial portrayed positive correlation, indicating autocorrelation degree 500 m, Moran ’I value 0.1733. Although these findings reflect affecting more perfect data needed complexity structural factors scale. helpful planning differentiated reduction strategies promote low-carbon healthy development.

Язык: Английский

Characterizing and predicting carbon emissions from an emerging land use perspective: A comprehensive review DOI
Haizhi Luo, Zhengguang Liu, Yingyue Li

и другие.

Urban Climate, Год журнала: 2024, Номер 58, С. 102141 - 102141

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

5
Scenario forecasting of carbon neutrality by combining the LEAP model and future land-use simulation: An empirical study of Shenzhen, China DOI
Xinyan Zhao, Zhiguo Rao, Jinyao Lin

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106367 - 106367

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Spatial characteristics and optimization of urban living space carbon suitability index (ULS-CSI) in Tianjin, China DOI Creative Commons

Zhaowei Yin,

Xiaoping Zhang, Peng Chen

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Авг. 26, 2024

The global climate crisis is escalating, and urban living Space (ULS) a significant contributor to carbon emissions. How improve the suitability of ULS while promoting social economic development issue. This study aims develop an evaluation system for comparing analyzing inequality spatial differences in different areas. To achieve this goal, space index (ULS-CSI) based on organizational (SOI) has been proposed. ULS-CSI was calculated at area scale Tianjin using information from Land Use Database 2021. emissions coefficient method used calculate (ULSCE). Moran’I LISA analysis were quantify ULS-CSI. results showed that residential (RLA) highest scale, with 1.14 × 10 11 kg, accounting 33.74%. green leisure (GLA) absorption 5.76 5 32.33%. SOI areas have heterogeneity as such building area, road network density land use characteristics are significantly Areas superior CSI primarily situated Heping, Hexi, Nankai, Beichen, 83.90%. Conversely, under basic threshold included Xiqing, Jinnan, Dongli, 16.10%. Spatial portrayed positive correlation, indicating autocorrelation degree 500 m, Moran ’I value 0.1733. Although these findings reflect affecting more perfect data needed complexity structural factors scale. helpful planning differentiated reduction strategies promote low-carbon healthy development.

Язык: Английский

Процитировано

0