Rural landscapes are acknowledged for their potential to restore human health due to natural characteristics. However, modern rural development has degraded these environments, thereby diminishing the restorative potential of rural landscapes. Few studies have systematically analyzed the impact of naturalness, landscape types, and landscape elements on restorativeness using both subjective and objective measurements. This study investigated the restorative effects of various rural landscapes in Guangzhou, employing electroencephalography and eye-tracking technologies to record physiological responses and using the Restorative Components Scale and the Perceived Restorativeness and Naturalness Scale to evaluate psychological responses. The results indicated the following: (1) There was a significant positive correlation between perceived naturalness and restorativeness, surpassing the impact of actual naturalness. (2) Different landscape types had varying impacts on restorativeness at the same level of perceived naturalness. Natural forest landscapes, artificial forest landscapes, and settlement landscapes exhibited the most substantial restorative effects among the natural, semi-natural, and artificial landscapes examined, respectively. (3) Restorative properties varied across landscape elements: trees and water significantly enhanced restorativeness, whereas constructed elements reduced it. Findings from this study can provide support for policymakers to make informed decisions regarding the selection and arrangement of rural landscape types and elements to enhance mental health and well-being.

In the face of the health challenges caused by the COVID-19 pandemic, healing and therapeutic design (HTD) as interventions can help with improving people’s health. It is considered to have great potential to promote health in the forms of art, architecture, landscape, space, and environment. However, there are insufficient design approaches to address the challenges during the HTD process. An increased number of studies have shown that emerging information modeling (IM) such as building information modeling (BIM), landscape information modeling (LIM), and city information modeling (CIM) coupled with blockchain (BC) functionalities have the potential to enhance designers’ HTD by considering important design elements, namely design variables, design knowledge, and design decision. It can also address challenges during the design process, such as design changes, conflicts in design requirements, the lack of design evaluation tools and frameworks, and incomplete design information. Therefore, this paper aims to develop a conceptual BC enhanced IM for HTD (BC-HTD) framework that addresses the challenges in the HTD and promotes health and well-being. The structure of BC-HTD framework is twofold: (1) a conceptual high-level framework comprising three levels: user; system; and information, (2) a conceptual low-level framework of detailed content at the system level, which has been constructed using a mixed quantitative and qualitative method of literature analysis, and validated via a pre-interview questionnaire survey and follow-up interviews with industry experts and academics. This paper analyzes the process of BC enhanced HTD and the knowledge management of HTD to aid design decisions in managing design information. This paper is the first attempt to apply the advantages of BC enabled IM to enhance the HTD process. The results of this study can foster and propel new research pathways and knowledge on the value of design in the form of non-fungible token (NFT) based on the extended advantages of BC in the field of design, which can fully mobilize the healing and therapeutic behaviors of designers and the advantage potential of HTD to promote health, and realize the vision of Health Metaverse in the context of sustainable development.

The research on the application of BIM technology in architectural heritage is increasing. Building information modeling (BIM) makes the realization of architectural heritage assessment, design, and management systematic and effective. However, little is known about the use of China-based BIM in conjunction with architectural heritage. Therefore, this study conducted a systematic literature analysis to determine the application fields and development trends of BIM and architectural heritage research in China. A total of 186 articles were retrieved from CNKI, of which 167 met the inclusion criteria and formed the basis of this systematic literature analysis. With the aid of the literature research visualization analysis software VOSviewer and SATI, a comprehensive literature visualization analysis was carried out. It was determined that the hot fields of BIM research in architectural heritage in China are mainly focused on (a) the perspective of data acquisition and measurement technology, (b) the perspective of model construction based on point cloud data acquisition, and (c) the perspective of BIM model application. Future research trends may focus on the information research of architectural heritage, combined with the application of BIM technology in the whole life cycle management of architectural heritage and other aspects.

As urban boundaries continue to expand and core city areas undergo optimization, megacities such as New York, London, Beijing, Shanghai, and Guangzhou exert a siphon effect on surrounding regions, intensifying population concentration and land demand. However, the imperative for coordinated production-living-ecological space development has placed limits on uncontrolled urban sprawl, highlighting the need for connotative, high-quality urban growth. Recent initiatives in urban village renewal and regeneration aim to enhance land-use efficiency but face persistent challenges—including preserving indigenous settlements and cultural heritage, while creating livable and friendly communities within high-density contexts. Utilizing a mixed-methods approach—combining bibliometrics analysis, questionnaire surveys, and enterprise interviews—this research investigates core challenges to urban renewal. Results indicate that multi-party collaborative governance integrating policy innovation, cultural preservation, human-centered planning, smart technologies, and sustainable development is essential for advancing “people-industry-city integration” in renewal models.