TY - GEN
T1 - Dynamic analysis of the urban-based low-carbon policy using system dynamics
T2 - 4th International Conference on Integrated Information, IC-ININFO 2014
AU - Hong, Taehoon
AU - Kim, Jimin
AU - Koo, Choongwan
AU - Jeong, Kwangbok
N1 - Publisher Copyright:
© 2015 AIP Publishing LLC.
PY - 2015
Y1 - 2015
N2 - To systematically manage the energy consumption of existing buildings, the government has to enforce greenhouse gas reduction policies. However, most of the policies are not properly executed because they do not consider various factors from the urban level perspective. Therefore, this study aimed to conduct a dynamic analysis of an urban-based low-carbon policy using system dynamics, with a specific focus on housing and green space. This study was conducted in the following steps: (i) establishing the variables of urban-based greenhouse gases (GHGs) emissions; (ii) creating a stock/flow diagram of urban-based GHGs emissions; (iii) conducting an information analysis using the system dynamics; and (iv) proposing the urban-based low-carbon policy. If a combined energy policy that uses the housing sector (30%) and the green space sector (30%) at the same time is implemented, 2020 CO2 emissions will be 7.23 million tons (i.e., 30.48% below 2020 business-as-usual), achieving the national carbon emissions reduction target (26.9%). The results of this study could contribute to managing and improving the fundamentals of the urban-based low-carbon policies to reduce greenhouse gas emissions.
AB - To systematically manage the energy consumption of existing buildings, the government has to enforce greenhouse gas reduction policies. However, most of the policies are not properly executed because they do not consider various factors from the urban level perspective. Therefore, this study aimed to conduct a dynamic analysis of an urban-based low-carbon policy using system dynamics, with a specific focus on housing and green space. This study was conducted in the following steps: (i) establishing the variables of urban-based greenhouse gases (GHGs) emissions; (ii) creating a stock/flow diagram of urban-based GHGs emissions; (iii) conducting an information analysis using the system dynamics; and (iv) proposing the urban-based low-carbon policy. If a combined energy policy that uses the housing sector (30%) and the green space sector (30%) at the same time is implemented, 2020 CO2 emissions will be 7.23 million tons (i.e., 30.48% below 2020 business-as-usual), achieving the national carbon emissions reduction target (26.9%). The results of this study could contribute to managing and improving the fundamentals of the urban-based low-carbon policies to reduce greenhouse gas emissions.
UR - http://www.scopus.com/inward/record.url?scp=85063818358&partnerID=8YFLogxK
U2 - 10.1063/1.4907826
DO - 10.1063/1.4907826
M3 - Conference contribution
AN - SCOPUS:85063818358
T3 - AIP Conference Proceedings
SP - 120
EP - 127
BT - International Conference on Integrated Information, IC-ININFO 2014 - Proceedings of the 4th International Conference on Integrated Information
A2 - Giannakopoulos, Georgios
A2 - Kyriaki-Manessi, Daphne
A2 - Sakas, Damianos P.
PB - American Institute of Physics Inc.
Y2 - 5 September 2014 through 8 September 2014
ER -