Research on the Spatiotemporal Characteristics and Influencing Mechanisms of Sustainable Plateau Urban Building Carbon Emissions: A Case Study of Qinghai Province DOI Creative Commons

Haifa Jia,

Bo Su, Jianxun Zhang

и другие.

Buildings, Год журнала: 2025, Номер 15(8), С. 1307 - 1307

Опубликована: Апрель 16, 2025

Buildings account for 39% of global carbon emissions, making the construction sector a pivotal contributor to climate change. In ecologically fragile plateau regions, tension between urban development and environmental sustainability poses significant challenge. This study examines spatiotemporal characteristics influencing mechanisms building emissions (BCEs) in cities using an empirical analysis 13-year panel data (2010–2022) from two municipalities six prefectures Qinghai Province, China. By employing eXtreme Gradient Boosting (XGBoost) model, we comprehensively assess drivers across four dimensions: socioeconomic structure, demographic factors, expansion patterns, climatic topographic attributes. Key findings include: (1) The XGBoost model exhibits robust predictive performance (R2 > 0.9, MSE < 0.1, RMSE 0.3), validating its effectiveness systems. (2) Socioeconomic structure significantly positively influence with GDP, per capita built-up areas being particularly influential. (3) interaction terrain increases buildings. (4) While is common factor affecting BCEs different types buildings, other such as population density, housing area, shape index, exhibit variability. These insights inform policy recommendations cross-regional flow balancing adaptive low-carbon planning strategies tailored ecosystems.

Язык: Английский

Research on the Spatiotemporal Characteristics and Influencing Mechanisms of Sustainable Plateau Urban Building Carbon Emissions: A Case Study of Qinghai Province DOI Creative Commons

Haifa Jia,

Bo Su, Jianxun Zhang

и другие.

Buildings, Год журнала: 2025, Номер 15(8), С. 1307 - 1307

Опубликована: Апрель 16, 2025

Buildings account for 39% of global carbon emissions, making the construction sector a pivotal contributor to climate change. In ecologically fragile plateau regions, tension between urban development and environmental sustainability poses significant challenge. This study examines spatiotemporal characteristics influencing mechanisms building emissions (BCEs) in cities using an empirical analysis 13-year panel data (2010–2022) from two municipalities six prefectures Qinghai Province, China. By employing eXtreme Gradient Boosting (XGBoost) model, we comprehensively assess drivers across four dimensions: socioeconomic structure, demographic factors, expansion patterns, climatic topographic attributes. Key findings include: (1) The XGBoost model exhibits robust predictive performance (R2 > 0.9, MSE < 0.1, RMSE 0.3), validating its effectiveness systems. (2) Socioeconomic structure significantly positively influence with GDP, per capita built-up areas being particularly influential. (3) interaction terrain increases buildings. (4) While is common factor affecting BCEs different types buildings, other such as population density, housing area, shape index, exhibit variability. These insights inform policy recommendations cross-regional flow balancing adaptive low-carbon planning strategies tailored ecosystems.

Язык: Английский

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