Neighborhood form and CO2 emission： evidence from 23 neighborhoods in Jinan, China

作     者：Jiaxing GUO Huan LIU Yang JIANG Dongquan HE Qidong WANG Fei MENG Kebin HE 

作者机构：State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China The Energy Foundation Beijing 100004 China School of Architecture Tsinghua University Beijing 100084 China 

出 版 物：《Frontiers of Environmental Science & Engineering》 (环境科学与工程前沿（英文）)

年 卷 期：2014年第8卷第1期

页      面：79-88页

核心收录：

学科分类：07[理学] 08[工学] 082303[工学-交通运输规划与管理] 070602[理学-大气物理学与大气环境] 0706[理学-大气科学] 0823[工学-交通运输工程] 

基　　金：Acknowledgements This work is supported by the Energy Foundation and National Natural Science Foundation of China (Grant No. 71101078)  the special fund of State Key Joint Laboratory of Environment Simulation and Pollution Control (No. 11K05ESPCT). We also thank Shandong University  Beijing Normal University and Massachusetts Institute of Technology for their great support 

主　　题：C02 emission neighborhood type transporta-tion household energy China 

摘      要：To understand the household C02 emission level in China, as well as how much the neighborhoods＇ socio-economic or design factors could influence the CO2 emission, 23 neighborhoods in Jinan were investigated in 2009 and 2010. These neighborhoods fall into four different types： superblock, enclave, grid and traditional. The household CO2 emission includes sources of both in- home energy use and passenger transportation. The average CO2 emission per household is 7.66 t.a^-1, including 6.87 t in-home operational emission and 792 kg transportation emission. The household CO2 emission by neighborhood categories is 10.97, 5.65, 6.49, 5.40 t-household-1. a-1 for superblock, enclave, grid and tradi- tional respectively. Superblock has the highest average emission and also the highest percent （more than 25%） of transportation emission among four different types of neighborhoods. The residential CO2 emission of superb- lock neighborhoods in Jinan has already reached the level in developed countries nearly ten years ago. It is predictable that more superblock neighborhoods would be built in China with the fast urbanization. How to avoid the rapid household CO2 emission growth in the future would be a systematic issue. The study also found that in addition to income and apartment area, household density, land use mix and accessibility to public transportation are three primary factors which have significant impacts on CO2 emission. High density, mixed land use and convenient accessibility to public transportation tend to reduce household CO2 emission.