Using the CiteSpace software and bibliometric methods, with the core collection of the Web of Science (WoS) database as the data source, the development of industrial heritage research in China and Western countries since the 2006 Wuxi Proposal was analyzed. The study found that the latest quantitative changes in China and Western countries’ industrial heritage research have similar fluctuations. However, researchers and institutions in the two places are independent of each other, lacking in-depth cooperative research. Notwithstanding, comprehensive and holistic research needs to be strengthened. The research content in China mainly focuses on the issues of urban renewal, industrial heritage tourism and creative industries, whereas Western countries are dominated by heritage and community building industrial heritage, the exploration of tourism and the protection of industrial sites, post-industrial heritage protection, and new technology use. Finally, by comparing and analyzing the research status of the two regions, future research on industrial heritage in China and Western countries are encouraged.
Despite the rising interest in smart city initiatives worldwide, governmental theories along with the managerial perspectives of city planning are greatly lacking in the literature. It is definitely understandable that the adoption of configurational pathways toward the ‘smart’ ‘governance’ models is required as a key factor and smartness’ facilitator in modern cities. In this manuscript, we display an exhaustive literature review on the importance of the n-Helix models along with a benchmarking critical approach through selected European case studies. This paper reveals the lack of exhaustive analyses for the methodological investigation, identification, and adoption of the most appropriate governance model per project including collaborative approaches. In addition, the paper deploys modular frameworks to efficiently address the continuous urban challenges, such as the rapid urbanization or the climate change.
In a digitalized era and with the rapid growth of computational skills and advancements, artificial intelligence and Machine Learning uses in various applications are gaining a rising interest from scholars and practitioners. As a fast-growing field of Artificial Intelligence, Machine Artificial Intelligence deals with smart designs, data mining and management for complex problem-solving based on experimental data on urban applications (land use and cover, configurations of the built environment and architectural design, etc.), but with few explorations and relevant studies. In this work, a comprehensive and in-depth review is presented to discuss the future opportunities and constraints in meeting the next planning portfolio against the multiple challenges in urban environments in line with Machine Learning progress. Bringing together the theoretical views with practical analyses of cases and examples, the work unveils the huge potential, but also the potential barriers of the complexity of Machine Learning to urban planning strategies.
Buildings’ heating and cooling systems account for an important part of total energy consumption. The EU’s directives and engagements motivate building owners and relevant stakeholders in the energy and construction sectors towards net zero energy buildings by maximizing the use of renewable energy sources, ICT, and automation systems. However, the high costs of investment for the renovation of buildings, in situ use of renewable energy production, and installation of expensive ICT infrastructure and automation systems in small–medium range buildings are the main obstacles for the wide adoption of EU building directives in small- and medium-range buildings. On the other hand, the concept of sharing computational and data storage resources among various buildings can be an alternative approach to achieving smart buildings and smart cities where the main control power resides on a server. Unlike other studies that focus on the implementation of AI techniques in a building or separated buildings with local processing resources and data storage, in this work a corporate server was employed to control the heating systems in three building typologies and to examine the potential benefits of controlling existing buildings in a unified energy-savings platform. The key finding of this work is that the AI algorithms incorporated into the proposed system achieved significant energy savings in the order of 20–40% regardless of building typology, building functionality, and type of heating system, despite the COVID-19 measures for frequent ventilation of the buildings, even in cases with older-type heating systems.
Along with the increase in modern industry, original facilities and cultures have disappeared progressively, leading to the disappearance of traditional values. However, from the perspective of the stewardship of industrial heritage, preservation is vital for Western Europe, where the Industrial Revolution emerged firstly, and it has leading technology in terms of the advanced stewardship of industrial heritage protection. Meanwhile, there is a large market for industrial heritage growth in China, but its stewardship began later. Horizontal and vertical research into the stewardship of the industrial heritage of these two regions offers a review of the developed industrial regions and experiences for developing industrial regions in their future expansion. By analysing the values and dilemmas and the features of the legal, administrative, and fund guarantee systems, this paper summarizes the advanced expertise of the stewardship of industrial heritage in Western Europe and China and proposes strategies based on them.
Industrial heritage reflects the development track of human production activities and witnessed the rise and fall of industrial civilization. As one of the earliest countries in the world to start the Industrial Revolution, Belgium has a rich industrial history. Over the past years, a set of industrial heritage renewal projects have emerged in Belgium in the process of urban regeneration. In this paper, we introduce the basic contents of the related terms of industrial heritage, examine the overall situation of protection and renewal in Belgium. The industrial heritage in Belgium shows its regional characteristics, each region has its representative industrial heritage types. In the Walloon region, it is the heavy industry. In Flanders, it is the textile industry. In Brussels, it is the service industry. The kinds of industrial heritages in Belgium are coordinate with each other. Industrial heritage tourism is developed, especially on eco-tourism, experience tourism. The industrial heritage in transportation and mining are the representative industrial heritages in Belgium. There are a set of numbers industrial heritages are still in running based on a successful reconstruction into industrial tourism projects. Due to the advanced experience in dealing with industrial heritage, the industrial heritage and the city live together harmoniously.