Visualization is one of the main features of Building Information Modeling (BIM). It has many advantages throughout the lifecycle of a construction project, and it has become a timely research topic in recent years. However, no attempt has been made to give a holistic understanding of the existing BIM-based visualization research status. Thus, this study aims to conduct a scientometric analysis of the existing BIM-based visualization literature and to gain a snapshot of the research status during the period 2010–2019. A total of 255 articles were abstracted from the Scopus database. Then, the VOSviewer program was employed to visualize the research status from the perspectives of scholars, countries/regions, journals, articles, and co-occurring keywords. Results revealed that Wang X. published the greatest number of articles, while Cheng J.C.P. received the greatest average normalized citations. Furthermore, Automation in Construction was identified as the most influential journal and the article “Building information modeling (BIM): trends, benefits, risks, and challenges for the AEC industry” was the most cited paper. Through the keywords co-occurrence analysis, “virtual reality” and “visual programming language” were identified as the emerging themes in this field. The research findings can provide both researchers and practitioners with a better understanding of the status quo and trends of the BIM-based visualization research.

Urban spatial structure has a significant impact on the sustainable development of cities. An important step of urban spatial structure analysis is the identification of urban centers. From the perspective of urban function distribution, this study developed a theoretical framework of three layers for urban center identification. In the first layer, point-of-interest data were collected from geospatial databases and utilized to capture the spatial distribution of urban functions. In the second layer, the density-based spatial clustering of application with noise (DBSCAN) algorithm was employed to group points of interest into urban centers according to their inter-distances and urban functions. In the third layer, the spatial distribution of the identified urban centers was visualized by the ArcGIS platform. This framework was applied in the urban center analysis of Beijing. The results showed that Beijing is in the process of transitioning from monocentric to polycentric with urban functions distributed unevenly throughout the city. To facilitate this transition, strategies such as the construction of super-large communities, the development of branch campuses and higher-education parks, and the enhancement of modern culture industries should be considered for the 11 new towns of Beijing.

Culture-led regeneration projects (CRPs) have been identified as an effective means for enhancing the sustainable development of cities. Related topics have been investigated; however, relatively little information is known about what factors are critical for achieving success in these kinds of regeneration projects. Based on a literature review and five case studies, this study contributes to the body of knowledge by identifying 25 critical success factors (CSFs) for managing CRPs in China. A questionnaire survey was designed to evaluate the relative importance of these factors from practitioners’ and researchers’ perspectives. In addition, a factor analysis was carried out to group these CSFs into five categories, namely government policies and culture-led regeneration strategies, stakeholder management and financing support, technical solutions for CRPs, social security, and industry development. The results demonstrated that cultural value management, integrating cultural development with urban planning, adopting sustainable development principles, reconstructing the city image and brand, and the availability of culture-led planning methods played the most important roles in the success of CRPs. The findings of this study can help practitioners enhance their regeneration project performance.