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China is currently the fastest growing economy in the world. This paper discusses the current state of property management in Shanghai and reviews the challenges and opportunities for facility management in this city. In particular, it focuses on the embryonic role of FM resulting from the changes that are taking place in attitudes, both at the corporate and government level. It considers issues arising from personal observation of, and visits to, companies in Shanghai, and discussions with professionals in the property management sector in China. It describes typical property management provision in Shanghai and the growth in the importance of training for property management as part of the growing recognition of the significance of facility management in China. However, it concludes that until the property management industry fully matures it is unlikely that facility management will be widely practised for some time.

The purpose of constructing the technology/function matrix is to analyze the patents in the target domain. The extraction of technology words is an important part of the construction of technology/function matrix. This algorithm is used to solve the problem of low efficiency of traditional Chinese process patents technology words extraction.

The authors propose a Chinese process patents technology words extraction method based on the improved term frequency–inverse document frequency (TF-IDF) algorithm to help technicians obtain the technology words in the target domain. According to the characteristics of Chinese process patents technology words, the TF value of candidate technology words is divided into four parts, and the corpus of IDF value calculation of candidate technology words is selected.

Through the test of Chinese process patents in the domain of path planning, this study shows that the method is feasible and practical. It can help users quickly and accurately obtain the technology words of Chinese process patents in the target domain.

With the increasing number of patents on the network-based patent information platform, patent analysis of massive Chinese process patents has become a research focus. The method proposed in this paper can facilitate users to extract technology words from massive Chinese process patents for patent analysis.

This paper aims to improve the efficiency of Chinese process patents technology words extraction. The authors hope that the proposed method can reduce the labor and time cost of Chinese process patents technology words extraction.

The construction industry has experienced an irreversible digital transformation to smart construction. Many countries have published supporting policies to encourage the development of smart construction. However, there is no universally valid approach. This paper thus aims to evaluate smart construction policies issued by 24 pilot cities in China and identify applicable policy tools and their impact.

This paper collected 33 governmental documents on smart construction through the official websites in China. Different policy tools were classified into supply-side, demand-side and environment-side categories. The supporting policies of smart construction development in pilot cities were quantitatively evaluated by using a policy modeling consistency index (PMC-index) model.

Supply-type and environment-type policy instruments were used more frequently than demand-type policies in 24 pilot cities. Most of the 24 pilot cities had an evaluation of PMC-index over 8, realizing the consistency of smart construction policies. Eight pilot cities had an evaluation of PMC-index of 6–7.99, realizing acceptable consistency. Only Foshan City has an evaluation of PMC-index below 4, which may reflect a poor consistency of policy implementation. The paper proposes consistencies of smart construction policies of 24 pilot cities and valid policy instruments, including the presale of commercial residential buildings, additional bonus points in the tendering process and cooperating with multiple departments when promoting smart construction.

This paper contributes to expanding policy evaluation studies in the smart construction field and provides concrete suggestions for policymakers to formulate more effective and specific policies and strategies for the development of smart construction.

In the present era of Industry 4.0, the manufacturing automation is moving toward mass production and mass customization through human–robot collaboration. The purpose of this paper is to describe various human–robot collaborative (HRC) techniques and their applicability for various manufacturing methods along with key challenges.

Numerous recent relevant research literature has been analyzed, and various human–robot interaction methods have been identified, and detailed discussions are made on one- and two-way human–robot collaboration.

The challenges in implementing human–robot collaboration for various manufacturing process and the challenges in one- and two-way collaboration between human and robot are found and discussed.

The authors have attempted to classify the HRC techniques and demonstrated the challenges in different modes.

The achievement of the sustainable development goals (SDGs) for all communities and jurisdictions require a comprehensive roadmap that encompasses all dimensions of data infrastructure, social, economic, environmental and governance ecosystems. With this in mind, this paper aims to establish the link between the curriculum and intended learning outcomes of undergraduate and postgraduate subjects offered by the University and sustainability. This study is a part of a wider university strategy to embed sustainability knowledge and values in the university curricula. The 17 SDGs developed as a part of the 2030 Agenda for Sustainability Development was used as tool to measure and map how the subjects are linked with sustainability.

To incorporate sustainability into the curriculum, this paper developed an interdisciplinary approach for analysing the interconnection between the SDGs, the expected subject learning points and the relevant aspects of sustainability (geospatial information, the legal, policies and institutional components). As part of the approach, in the first phase of the study, qualitative data were collected through a review of published information on the SDGs and the content of the subjects available in the subject handbook. Subject codes were assigned to the keywords and key phrases extracted from the SDGs and the subject content, and then compared and matched to establish the link between the subjects and the SDGs. Six university schools offering over 2,157 subjects were investigated. In the second phase, a survey was conducted involving subject coordinators with the purpose of validating the findings of the first phase and determining the strength of the linkages between the subjects and the SDGs. In the third phase, a plugin was designed to be used in the digital twin platform developed in the UoM, allowing visualisation of the research outcomes.

Based on the interim findings, it was found that some subjects within the schools are linked to more than one SDG. However, not all of the subjects within the schools can be linked to the SDGs. There is a scope of improvement for embedding sustainability in more subjects within the schools. Some of the schools were also found to have weak linkages with sustainability, which demonstrate the challenge in technical subjects in linking their subject contents with sustainability.

This study provides a methodology which enables the integration of sustainability into current state of the curricula at the university to be established. Further, with the advancement of geospatial technology and new visualisation opportunities through the use of the digital twin platform provides capabilities to communicate the outcomes of sustainability and involvement of each faculties and departments more effectively to the university community and wider stakeholders.