TY - JOUR
T1 - Greenhouse gas emissions from key infrastructure sectors in larger and smaller Chinese cities
T2 - method development and benchmarking
AU - Tong, Kangkang
AU - Fang, Andrew
AU - Boyer, Dana
AU - Hu, Yuanchao
AU - Cui, Shenghui
AU - Shi, Lei
AU - Kalmykova, Yuliya
AU - Ramaswami, Anu
N1 - Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2016/3/3
Y1 - 2016/3/3
N2 - With massive urbanization and infrastructure investments occurring in China, understanding GHG emissions from infrastructure use in small and large Chinese cities with different administrative levels is important for building future low-carbon cities. This paper identifies diverse data sources to assess GHG emission from community-wide infrastructure footprints (CIF) in four Chinese cities of varying population (1 to 20 million people) and administrative levels: Yixing, Qinhuangdao, Xiamen and Beijing. CIF addresses seven infrastructure sectors providing energy (fuels/coal), electricity, water supply and wastewater treatment, transportation, municipal waste management, construction materials, and food to support urban activities. Industrial energy use dominates the infrastructure GHG CIF in all four cities, ranging from 76% of total CIF in Yixing to 30% in Beijing, followed by residential energy use (6–13%), transportation (4–12%), commercial energy use (2–25%), food (6–11%), cement use (3–8%) and water (about 1%), thereby identifying priorities for low-carbon infrastructure development. Trans-boundary footprint contributions ranged from 31% (Beijing) to 8% (Qinhuangdao), indicating that supply chains to cities are important. GHGs from energy use are dominated by electricity (35–45%) and non-electricity coal use (30–50%). The authors demonstrate that disaggregated infrastructure use-efficiency metrics in each infrastructure sector provide useful baseline performance data for comparing diverse cities.
AB - With massive urbanization and infrastructure investments occurring in China, understanding GHG emissions from infrastructure use in small and large Chinese cities with different administrative levels is important for building future low-carbon cities. This paper identifies diverse data sources to assess GHG emission from community-wide infrastructure footprints (CIF) in four Chinese cities of varying population (1 to 20 million people) and administrative levels: Yixing, Qinhuangdao, Xiamen and Beijing. CIF addresses seven infrastructure sectors providing energy (fuels/coal), electricity, water supply and wastewater treatment, transportation, municipal waste management, construction materials, and food to support urban activities. Industrial energy use dominates the infrastructure GHG CIF in all four cities, ranging from 76% of total CIF in Yixing to 30% in Beijing, followed by residential energy use (6–13%), transportation (4–12%), commercial energy use (2–25%), food (6–11%), cement use (3–8%) and water (about 1%), thereby identifying priorities for low-carbon infrastructure development. Trans-boundary footprint contributions ranged from 31% (Beijing) to 8% (Qinhuangdao), indicating that supply chains to cities are important. GHGs from energy use are dominated by electricity (35–45%) and non-electricity coal use (30–50%). The authors demonstrate that disaggregated infrastructure use-efficiency metrics in each infrastructure sector provide useful baseline performance data for comparing diverse cities.
KW - Chinese city
KW - GHG emission
KW - benchmark
KW - infrastructure sector
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U2 - 10.1080/17583004.2016.1165354
DO - 10.1080/17583004.2016.1165354
M3 - Article
AN - SCOPUS:84978722148
SN - 1758-3004
VL - 7
SP - 27
EP - 239
JO - Carbon Management
JF - Carbon Management
IS - 1-2
ER -