Evaluation of greenness of green buildings based on carbon emissions

Zhang, Jingqi; Zhao, Hui; Li, Zhijie; Guo, Ziliang

doi:10.1108/k-03-2022-0378

Cited by 6 publications

(3 citation statements)

References 49 publications

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“…Thirdly, our suggested mitigation strategies cover delivery vehicles and traffic road efficiency, but minimizing and reducing unnecessary delivery of orders may still require future study. Carbon emissions could be reduced through developing appropriate household social responsibility (HSR) initiatives 21 , such as limiting household takeaway consumption or sharing one delivery for multiple households. Lastly, the environmental impacts of a company might be closely linked to firm-level corporate social responsibility (CSR) efforts 22,23 .…”

Section: Scenario-based Simulation and Ghg Emissions Mitigation Strat...mentioning

confidence: 99%

Carbon emissions from urban takeaway delivery in China

Zhong

Bai

Huang

et al. 2023

Preprint

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Online food delivery has become a popular mode of urban food consumption in China as its underlying business mechanism, Online To Offline (O2O), gaining popularity. However, the environmental impacts of a rapidly expanding online food delivery industry and its potential to mitigate environmental burdens remained unexplored in China. Our research found that Chinese cities generated 8.37 MtCO2-equivalent (CO2e) from 13.07 billion times of deliveries in 2019, including transport and packaging. The transportation-related GHG emissions were 7.45 MtCO2e in 2019, with an average of 0.057 kg CO2e per order and an average of 0.011 kg CO2e per capita. These emissions have surged from 1.55 MtCO2e in 2014 to 13.75 MtCO2e in 2021. We predict that this figure will increase further to 29.83 MtCO2e by 2035. However, with a range of policies such as replacing motorcycles with electric bikes and optimizing traffic routes, it is possible to mitigate such GHG emissions by 43.88 ~ 109.70 MtCO2e between 2023 and 2035. These findings highlight the need for further research into the environmental impact of online food delivery and the potential for mitigating it.

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Section: Scenario-based Simulation and Ghg Emissions Mitigation Strat...mentioning

confidence: 99%

Carbon emissions from urban takeaway delivery in China

Zhong

Bai

Huang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…However, at present, the evaluation of green building technology and economic evaluation is more focemployed on the overall level. Although this concept can to some extent meet the current needs for promoting green buildings and facilitate owners to identify the advantages of green buildings, from a specific work perspective, this approach is relatively one-sided and easy to create a certain illusion for people [62,63]. At the same time, it also allows for the creation of conditions for different violations, which is unfavorable for promoting the development of the entire industry.…”

Section: Empirical Example and Comparative Analysis 41 An Empirical E...mentioning

confidence: 99%

A Combined MAGDM-Based Framework Employing EDAS and CRITIC Techniques for Green Building Technology Schemes Evaluation

Li,

2023

IEEE Access

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The urbanization process in China is rapidly developing, and the scale and development speed of urban area buildings are astonishing. The development of green buildings aims to provide people with a comfortable and healthy living space with minimal resource consumption, achieve harmonious development of the building economy, resources, and environment, and enable them to follow a sustainable development path. When designing green buildings, multiple specialties should be combined, and various technical professions such as architecture, structure, water, heating, and electricity should cooperate and explore together. The green building technology schemes evaluation could be treated as a multiple attribute group decision making (MAGDM) problem. Recently, the EDAS and CRITIC technique was employed to implement MAGDM. Spherical fuzzy sets (SFSs) could express the uncertainty in MAGDM more effectively. In this paper, a novel spherical fuzzy number EDAS (SFN-EDAS) technique based on SFN cosine similarity measure (SFNCSM) and SFN Euclid distance (SFNED) is implemented for managing the MAGDM. Moreover, the CRITIC technique is extended to SFSs to implement the attribute weights based on SFNCSM and SFNED. Finally, SFN-EDAS technique is employed for green building technology schemes evaluation and some comparations to further demonstrate the SFN-EDAS technique.

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“…In recent years, domestic and foreign scholars have conducted more research on the design stage of green buildings. Cai et al [11] proposed a fuzzy multi-level gray method by combining the fuzzy Delphi analytic hierarchy process and gray theory; Yu et al [12] proposed a chain risk management framework for green building projects under the EPC model from the perspective of a general contractor; Zhang et al [13] included carbon emissions into the evaluation system for the first time, used the Delphi method to determine 18 key evaluation indexes, and established a green building evaluation index system; Eti et al [14] designed a DEMATEL decision-making model based on TOPSIS, which determined the priority of each factor during green building renovation and used it for the weight of the green building evaluation system; and Jamaludin et al [15] used gray relational analysis-analytic hierarchy process to sort and evaluate projects and studied the low-carbon evaluation of green buildings based on the full life cycle theory. In order to reduce the human error of subjective weighting methods such as the AHP, while reducing the experimental workload and improving efficiency, an orthogonal experiment-EWM-TOPSIS model was proposed.…”

Section: Introductionmentioning

confidence: 99%

Green Residential Building Design Scheme Optimization Based on the Orthogonal Experiment EWM-TOPSIS

Chen,

2024

Buildings

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A multi-objective decision method is proposed based on the combining orthogonal test, entropy weight method (EWM) with TOPSIS (technique for order preference by similarity to an ideal solution) in this article. The method is more objective and efficient than traditional methods in the design of green residential buildings. A villa in Nanjing was taken as an example, and the cost, building energy consumption, and daylight factors were used as decision-making indexes. A total of six control factors were selected: terrain elevation, window area, building orientation, the opening ratio of exterior windows, roof structure, and window glass material. Each factor was designed with three levels. First, a design scheme index system was constructed, and the orthogonal experimental design was used to select representative design schemes. Then, the EWM and the TOPSIS method were used to determine the weight of each index, a comprehensive evaluation of the residential building design scheme was conducted, and, finally, the optimal scheme was confirmed via range analysis. The results show that the multi-objective decision-making model based on the orthogonal experiment EWM-TOPSIS is suitable for green residential building design and the optimal solution obtained is “15 m elevation, a 1200 × 1500 mm size vacuum glass, an orientation of 170° and an external window opening ratio 45% with a 40 mm thick expanded insulation board roof”.

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Evaluation of greenness of green buildings based on carbon emissions

Cited by 6 publications

References 49 publications

Carbon emissions from urban takeaway delivery in China

Carbon emissions from urban takeaway delivery in China

A Combined MAGDM-Based Framework Employing EDAS and CRITIC Techniques for Green Building Technology Schemes Evaluation

Green Residential Building Design Scheme Optimization Based on the Orthogonal Experiment EWM-TOPSIS

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