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Guanying Huang

Bio: Guanying Huang is an academic researcher from Southeast University. The author has contributed to research in topics: China & Sustainability. The author has an hindex of 2, co-authored 3 publications receiving 17 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, a prediction model was established by system dynamics, including direct CECI, indirect and operational CECIs, to accurately predict the peak of the peak carbon emission of the construction industry in China.
Abstract: China has become the world's largest carbon emitter, and its commitment to peak carbon emissions by 2030 is important for global development. The construction industry is one of China's biggest carbon emitters, and its peak has a direct impact on China's carbon commitment. Due to the regional heterogeneity of different provinces, the carbon emission of construction industry (CECI) at provincial level is of unique significance. To accurately predict the peak of provincial CECI, a prediction model was established by system dynamics, including direct CECI, indirect CECI and operational CECI. Taking Jiangsu province as an example, the single and multiple scenario settings with increasing R&D investment, promoting energy-saving buildings and implementing carbon trading from 2016 to 2030 was carried out, indicating that: 1) Without any carbon emission reduction measures, the CECI would maintain an annual growth rate of 5.58% to reach 530.61 million tons by 2030, and the indirect and operational CECI account for the majority of total with an average annual growth rate of 8.02% and 2.79% respectively. 2) All three measures had good carbon reduction effects, which would reduce the total CECI by 26.46% 21.68% and 10.68% respectively by 2030, but only when implemented simultaneously can CECI peak before 2030, 308.77 million tons at 2029. In the end, three policy implications was put forward. The framework presented in this paper provided a basis for the prediction of peak CECI in a province or state, which can help policy makers plan a more reasonable low-carbon development roadmap.

60 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors explored the driving factors of the total carbon emissions from the construction industry (CECI) in the provincial region using a hybrid Logarithmic Mean Divisia Index (LMDI) model.

49 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper proposed a holistic evaluation framework for evaluating urban flood resilience with VIKOR and Grey Relational Analysis (GRA) method, which consists of indicators of resilience, coping, recovery and adaptation capacity of resilience for three stages of the flood disaster cycle, namely pre, during and post-flood.
Abstract: Rapid urbanization and climate change have increased the risk of urban flooding, causing massive infrastructure and human losses. The concept of resilience proposes new solutions to manage flood disaster. An urban flood resilience evaluation framework considering the flood disaster cycle of actual historic flood event and objective physical-socio-economic status is necessary for future flood mitigation. This paper proposes a holistic evaluation framework for evaluating urban flood resilience with VIKOR and Grey Relational Analysis (GRA) method. The proposed framework consists of indicators of resistance, coping, recovery and adaptation capacity of resilience for three stages of the flood disaster cycle, namely pre, during and post-flood. The framework has been applied to Yangtze River Delta (YRD) consisting 27 cities in China. Following a rigorous analysis, the cities are ranked and mapped, among which Nanjing stands out to be the first, whereas the entire region presents a moderate level of urban flood resilience varying from city to city. The detailed comparison with sensitivity analysis of resilience at regional, provincial and city level suggests a better resilience in pre-flood stage than post-flood stage. Finally, practical recommendations to regional and local level are provided for further flood mitigation and resilience improvement. The proposed framework is generalizable and useful to develop flood related standards, establish benchmarks, perform evaluation at regional, provincial and city levels across China and other parts of the world.

36 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper developed a more realistic improving path for the sustainability of smart city services (SCS), it is necessary to clarify the factors that affect citizens' sense of gain of SCS (CSGSCS).

6 citations


Cited by
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Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper explored the association among renewable energy and non-renewable energy consumption, the urban population, research and development expenditure, technological innovation, and carbon emissions intensity in China using annual time series data over the period 1990 to 2019.

64 citations

Journal ArticleDOI
TL;DR: In this article, a prediction model was established by system dynamics, including direct CECI, indirect and operational CECIs, to accurately predict the peak of the peak carbon emission of the construction industry in China.
Abstract: China has become the world's largest carbon emitter, and its commitment to peak carbon emissions by 2030 is important for global development. The construction industry is one of China's biggest carbon emitters, and its peak has a direct impact on China's carbon commitment. Due to the regional heterogeneity of different provinces, the carbon emission of construction industry (CECI) at provincial level is of unique significance. To accurately predict the peak of provincial CECI, a prediction model was established by system dynamics, including direct CECI, indirect CECI and operational CECI. Taking Jiangsu province as an example, the single and multiple scenario settings with increasing R&D investment, promoting energy-saving buildings and implementing carbon trading from 2016 to 2030 was carried out, indicating that: 1) Without any carbon emission reduction measures, the CECI would maintain an annual growth rate of 5.58% to reach 530.61 million tons by 2030, and the indirect and operational CECI account for the majority of total with an average annual growth rate of 8.02% and 2.79% respectively. 2) All three measures had good carbon reduction effects, which would reduce the total CECI by 26.46% 21.68% and 10.68% respectively by 2030, but only when implemented simultaneously can CECI peak before 2030, 308.77 million tons at 2029. In the end, three policy implications was put forward. The framework presented in this paper provided a basis for the prediction of peak CECI in a province or state, which can help policy makers plan a more reasonable low-carbon development roadmap.

60 citations

Journal ArticleDOI
Minda Ma1
01 Oct 2022
TL;DR: Wang et al. as mentioned in this paper provided a reference of a stepwise data analysis for decarbonization potential on commercial building operations across different emitters, and the current mode of improving the energy efficiency level of commercial building operation was reviewed to seek the best practical way to decarbonize operations.
Abstract: Building operations are the last steps to achieve global carbon neutrality, especially commercial building operations with high emission abatement potential. Taking China and the United States (U.S.) as cases, this study is the first to illustrate a stepwise decarbonization potential to carbon neutrality in regard to global commercial building operations. The results indicate that the historical annual carbon abatement intensity in China's commercial building operations in 2001–2018 was 9.8 kg of carbon dioxide per square meter (kgCO2/m2) or 59.9 kgCO2/person, while the annual carbon abatement intensity in the U.S. during the same time was 17.7 kgCO2/m2 or 353.7 kgCO2/person. In the moderate decarbonization scenario, China's commercial building operations will reach the carbon peak at 1365 (± 255) mega-tons of carbon dioxide (MtCO2) in 2039 (± 5), while the carbon lock-in status in the U.S. will stabilize at 664 (± 155) MtCO2 after 2030. To further conduct deep decarbonization and realize carbon neutrality, strategies of building-integrated power generation, building electricity decarbonization, and building energy efficiency can achieve 34.3%, 29.7%, and 22.5% of carbon abatement in China and 31.0%, 45.4%, and 10.2% of carbon abatement in the U.S., respectively, by 2060. Moreover, the current mode of improving the energy efficiency level of commercial building operations was reviewed to seek the best practical way to decarbonize operations. Overall, this study provides a reference of a stepwise data analysis for decarbonization potential on commercial building operations across different emitters.

54 citations

Journal ArticleDOI
TL;DR: In this paper , the effect of low-carbon city (LCC) pilot policies on carbon emission efficiency (CO2E) measured by Slacks-based measure (SBM) on panel data of 208 cities from 2003 to 2016 through the Difference in differences (DID) model with propensity score matching (PSM) method.

49 citations

Journal ArticleDOI
TL;DR: In this paper , the authors present a summary of carbon peak and carbon neutrality (CPCN) in buildings using a bibliometric approach and propose future research directions, which will enrich the research body of CPCN and overcome current limitations.
Abstract: Due to large energy consumption and carbon emissions (ECCE) in the building sector, there is huge potential for carbon emission reduction, and this will strongly influence peak carbon emissions and carbon neutrality in the future. To get a better sense of the current research situation and future trends and to provide a valuable reference and guidance for subsequent research, this study presents a summary of carbon peak and carbon neutrality (CPCN) in buildings using a bibliometric approach. Three areas are addressed in the review through the analysis of 364 articles published from 1990–2021: (1) Which countries, institutions, and individuals have conducted extensive and in-depth research on CPCN in buildings, and what is the status quo of their collaboration and contributions? (2) What subjects and topics have aroused wide interest and enthusiasm among scholars, and what are their time trajectories? (3) What journals and authors have grabbed the attention of many scholars, and what are the research directions related to them? Moreover, we propose future research directions. Filling these gaps will enrich the research body of CPCN and overcome current limitations by developing more methods and exploring other practical applications.

46 citations