@inbook{9820368464d94fd99f5ba5cb7bb8e30d,
title = "Carbon Emission Reduction Indicators in Green Building Evaluation System Based on Meta-analysis",
abstract = "Green building evaluation systems are certification tools developed to enhance building performance and reduce carbon emission. To meet the increasingly aggressive “carbon neutrality” and “carbon peaking” targets set by different countries, it is commonly believed that it is vital to identify the critical carbon emission reduction indicators from the green building evaluation systems and assess their impact on carbon emission. The paper thus aims to identify the common carbon emission reduction indicators of green building evaluation systems and to ascertain the supplementary carbon emission reduction indicators of different countries to achieve the “carbon neutrality” and “carbon peaking” targets using a meta-analysis approach. Firstly, this paper refined 11 articles regarding the impact of carbon emission indicators in the green building evaluation systems on the emission reduction effect. Secondly, the paper compared and analyzed the carbon emission reduction indicators in different green building evaluation systems such as LEED, BREEAM, Green Star, and CASBEE. Thirdly, the paper identified the common carbon emission indicators, including energy, transport, materials and resources, pollution and waste, and regional optimization. Comparing the green building evaluation systems can ascertain the emission reduction indicators that need to be supplemented to achieve the “carbon neutrality” and “carbon peaking” targets in different countries. The research findings provide references for improving the green building evaluation systems and help enhance the realization of carbon neutrality and carbon peak targets worldwide.",
keywords = "Carbon emission, Emission reduction, Evaluation system, Green building, Meta-analysis",
author = "Xinru Qu and Xiaojing Zhao",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.",
year = "2023",
doi = "10.1007/978-981-99-3626-7_121",
language = "English",
series = "Lecture Notes in Operations Research",
publisher = "Springer Nature",
pages = "1576--1584",
booktitle = "Lecture Notes in Operations Research",
address = "Switzerland",
}