TY - JOUR
T1 - Quantifying and mapping spatial variability of Shanghai household carbon footprints
AU - Yang, Shangguang
AU - Wang, Chunlan
AU - Lo, Kevin
AU - Wang, Mark
AU - Liu, Lin
N1 - Publisher Copyright:
© 2015, Higher Education Press and Springer-Verlag Berlin Heidelberg.
PY - 2015/3
Y1 - 2015/3
N2 - Understanding the spatial variability of household carbon emissions is necessary for formulating sustainable and low-carbon energy policy. However, data on household carbon emissions is limited in China, the world’s largest greenhouse gases emitter. This study quantifies and maps household carbon emissions in Shanghai using a city-wide household survey. The findings reveal substantial spatial variability in household carbon emissions, especially in transport-related emissions. Low emission clusters are founded in Hongkou, Xuhui, Luwan, Jinshan, and Fengxian. High emission clusters are located in Jiading and Pudong. Overall, the spatial pattern of household carbon emissions in Shanghai is donut-shaped: lowest in the urban core, increasing in the surrounding suburban areas, and declining again in the urban fringe and rural regions. The household emissions are correlated with a number of housing and socioeconomic factors, including car ownership, type of dwelling, size of dwelling, age of dwelling, and income. The findings underscore the importance of a localized approach to low-carbon policymaking and implementation.
AB - Understanding the spatial variability of household carbon emissions is necessary for formulating sustainable and low-carbon energy policy. However, data on household carbon emissions is limited in China, the world’s largest greenhouse gases emitter. This study quantifies and maps household carbon emissions in Shanghai using a city-wide household survey. The findings reveal substantial spatial variability in household carbon emissions, especially in transport-related emissions. Low emission clusters are founded in Hongkou, Xuhui, Luwan, Jinshan, and Fengxian. High emission clusters are located in Jiading and Pudong. Overall, the spatial pattern of household carbon emissions in Shanghai is donut-shaped: lowest in the urban core, increasing in the surrounding suburban areas, and declining again in the urban fringe and rural regions. The household emissions are correlated with a number of housing and socioeconomic factors, including car ownership, type of dwelling, size of dwelling, age of dwelling, and income. The findings underscore the importance of a localized approach to low-carbon policymaking and implementation.
KW - China
KW - energy policy
KW - household carbon emissions
KW - Shanghai
KW - spatial variability
UR - http://www.scopus.com/inward/record.url?scp=84925512004&partnerID=8YFLogxK
U2 - 10.1007/s11708-015-0348-8
DO - 10.1007/s11708-015-0348-8
M3 - Journal article
AN - SCOPUS:84925512004
SN - 2095-1701
VL - 9
SP - 115
EP - 124
JO - Frontiers in Energy
JF - Frontiers in Energy
IS - 1
ER -