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The purpose of this paper is to evaluate green buildings from the angle of greenness and improve the evaluation system. And the matter-element extension method is used to evaluate the greenness of green buildings, in order to provide useful references for the evaluation system of green buildings.

First, this paper studies the aspects of safety and durability, health and comfort, living convenience, resource-saving, environmental liability and ecological quality, etc. For the first time, carbon emission is included in the evaluation system, 18 key evaluation indexes are determined by using the Delphi method, and the green building evaluation index system is established. Then, the combined weight method is proposed to determine the weight of each evaluation index, and the greenness evaluation model of green building is established with the matter-element extension method. Finally, taking Beijing Daxing International Airport as an example, the evaluation model of green building greenness was established to evaluate the building.

In this paper, the greenness evaluation model of green building established by the matter-element extension method solves the problem of incompatibility between qualitative and quantitative material elements in multi-factor evaluation. It makes the evaluation indexes more accurate and objective relative to the affiliation calculation of the evaluation set and improves the scientific, accuracy and reliability of the evaluation model.

In this paper, for the first time, carbon emission-related indicators are included in the green building evaluation system, which makes the evaluation system more perfect. In addition, a more scientific extension matter-element method is used to evaluate the greenness of green buildings, breaking the previous rough star evaluation method.

Constructing livable eco-civilized cities has become one of the important tasks of the reasonable planning of urban development. The construction of an ecological city aims to achieve the harmonious coexistence of society, resource, and environment. However, the current evaluation method system of an ecological building encounters problems from a defective evaluation index. Hence, a relatively perfect evaluation index system is built. First, the analytic network process (ANP) is combined with the existing standards online. Then, a rapid calculation of the index weight is performed using Super Decisions software. Based on the needs of complicated problems, the classical TOPSIS model algorithm is improved by introducing the weight coefficient; this improved TOPSIS algorithm is then taken as the core to build a whole set of comprehensive evaluation method system for ecological buildings. The ecological urban agglomeration in Qinling Mountains of Xi’an is used in this study as the example to perform verification in practice. Contrastive analysis is performed on the evaluation results of the new and old buildings using this method system; the results indicate that the ecological effect of the buildings in the new area is much better than that of buildings in the old area. These results are mostly consistent with the evaluation results given by the expert group. Thus, the comprehensive evaluation system proposed in this article is reliable, and effective, as well as practical to some extent. This method can be used in a wider range of building evaluation and further improved in future studies.

This paper improves the evaluation index system of green building operation effect and establishes the evaluation model of green building operation effect. It is expected to promote energy saving and emission reduction and provide a more scientific evaluation method for green building operation effect evaluation.

First, 20 key evaluation indexes are selected to establish the operation effective evaluation index system. Then, the combined weight method is proposed to determine the weight of each evaluation index. Next, the gray clustering-fuzzy comprehensive evaluation method is used to construct the green building operation effective evaluation model. Finally, the feasibility and validity of the selected model were verified by taking Shenzhen Bay One green building in Shenzhen as an example.

This paper establishes the evaluation system of green building operational effect, and evaluates green building from the angle of operational effect. Taking Shenzhen Bay One project as an example, the rationality and applicability of the model are verified.

In this paper, for the first time, relevant indexes of user experience are included in the evaluation system of green building operational effect, which makes the evaluation system more perfect. In addition, a more scientific fuzzy gray clustering method is used to evaluate the operational effect of green building, and a new evaluation model is established.

Outlines building evaluation methodology and instruments, which will facilitate comparative, cross‐cultural evaluation of the performance of a building type which is common worldwide; i.e. intelligent office buildings. States that failure to obtain feedback on building performance can have serious consequences. Focuses on post‐occupancy evaluation (POE) an evaluation methodology. Concludes that there is a need for an evaluative stance throughout the building delivery process and cycle and POE appears to be of critical importance in the area of inter‐cultural differences in order to achieve better quality intelligent buildings.

The research on sustainable campus is related to environmental protection and the realization of global sustainable development goals (SDGs). Because the sustainable campus development in China and Japan is carried out around buildings, this paper takes Kitakyushu Science and Research Park as a case to study the characteristics and typical model of sustainable campus in Japan by combined with the characteristics of Chinese sustainable campus.

This study compares the evaluation standards of green buildings between China and Japan, then compares the assessment results of the same typical green building case and finally summarizes the development mode and main realization path by discussing the implications of green buildings on campus sustainability.

The results show that (1) the sustainable campus evaluation in Japan mainly pays attention to the indoor environment, energy utilization and environmental problems. (2) Buildings mainly affect the sustainability of the campus in three aspects: construction, transportation and local. (3) The sustainable campus development model of Science and Research Park can be summarized as follows: taking green building as the core; SDGs as the goals; education as the guarantee; and the integration of industry, education and research as the characteristics.

It mainly provides construction experience for other campuses around the world to coordinate the contradictions between campus buildings and the environment based on sustainable principles in their own construction. It proposes a new sustainable campus construction path of “building–region–environment” integrated development.

This study provides theoretical framework for the development of sustainable campuses that includes long-term construction ideas and current technological support greatly improving the operability of practical applications. It not only enriches the sample cases of global sustainable campuses but also provides new ideas and perspectives for the sustainable development research of the overall campus through quantitative evaluation of building and environmental impacts.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Over the past 30 years, both the governmental and private sectors have made use of a feedback mechanism, which helps improve the quality of environments: post‐occupancy evaluation (POE) or similar systematic processes, which gauge the satisfaction with, and importance of, the designed and built environment. How does this process work, what kind of input does it require? What value, if any, does it add to the core business of an organisation? When should it be carried out, and how should the resulting data be used in enhancing the quality of existing and future buildings? Who should commission POEs and who should be in charge of developing databases, which can be used for benchmarking and the development of building performance criteria for future projects? What is the cost of these POEs in relationship to the benefits to be derived? All of these questions will be addressed in this paper.