Built Environment Factors (BEF) and Residential Land Carbon Emissions (RLCE)

Buildings

Yili Liao¹  Xiaoping Zhang²  Hu Zhao²  Qinghua Liao³  Yichen Liao⁴  Peng Li⁵ 

[1] Architectural Design First Branch, Hefei University of Technology Design Institute (Group) Co., Ltd., Hefei 230009, China;School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250101, China;School of Housing, Building and Pianning, Universiti Sains Malaysia, Gelugor 11800, Malaysia;School of Political Science and Public Administration, Huaqiao University, Quanzhou 362011, China;Zibo Urban Planning Design Institute Co., Ltd., Zibo 255025, China;

关键词: residential land carbon emissions;    built environment factors;    advanced metering infrastructure (AMI);    grey relation analysis;    Universal global optimization;    Zibo;   

DOI  :  10.3390/buildings12050508

来源: DOAJ

【 摘 要 】

Evaluating the effects of built environment factors (BEF) on residential land carbon emissions (RLCE) is an effective way to reduce RLCE and promote low-carbon development from the perspective of urban planning. In this study, the Grey correlation analysis method and Universal global optimization method were proposed to explore the effects of BEF on RLCE using advanced metering infrastructure (AMI) data in Zibo, a representative resource-based city in China. The results indicated that RLCE can be significantly affected by BEF such as intensity, density, morphology, and land. The morphology is the most critical BEF in reducing RLCE. Among them, the building height (BH) and building shape coefficient (BSC) had positive effects on RLCE, while the high-rise buildings ratio (HRBR) and RLCE decreased first and then increased. The R² of BH, BSC, and HRBR are 0.684, 0.754, and 0.699. The land had limited effects in reducing RLCE, and the R² of the land construction time (LCT) is only 0.075, which has the least effect on RLCE. The results suggest that urban design based on BEF optimization would be effective in reducing the RLCE.

【 授权许可】

Unknown