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With the popularization and application of Building Information Modeling (BIM), the demand for BIM technical talents in the construction industry is increasing. Exploring college students’ BIM technical learning behavior is of great practical significance to improve education activities. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this research adds learning attitude variables to construct a theoretical model of influencing factors of college students’ BIM technology learning behavior. Chinese undergraduate students were asked to complete online questionnaires through peer-to-peer contact with sample colleges and universities. Finally, 1090 valid questionnaires were obtained. The students were sampled from research-oriented, applied research-oriented, application-oriented, and private research-oriented universities in seven regions of China: northeast, north, east, south, central, northwest, and southwest. The structural equation model was used to analyze the sampling data. The results indicate that college students’ BIM learning attitude, performance expectations, and social influence positively and directly impact their learning intention, which indirectly impacts their learning behavior. At the same time, promoting factors and learning intention demonstrate a significant positive and direct impact on learning behavior. Therefore, the following suggestions have been put forward to enhance college students’ learning motivation for BIM technology: increase the popularization of BIM technology in colleges and universities and improve the operation level of full-time BIM teachers. The latter enables colleges and universities to continuously and stably export qualified BIM technical talents to society and the market, resulting in a continuous industry development cycle.

An increasing number of natural disasters and deficiencies in recovery projects have emerged recently and necessitated the creation of versatile guidelines to achieve successful Post-Natural Disaster Recovery (PNDR) projects. Although some criteria have been set to measure these PNDR projects’ success, this topic needs further investigation. The solution may be extensive studies offering a holistic explanation for PNDR projects’ success. This paper creates a comprehensive continual cycle to illustrate these projects’ objectives. Subsequently, subsets or influential elements of the defined objectives can be recognized. Recently, several attempts have been made to apply System Thinking to construct a framework of the influential factors in a successful PNDR project; however, there is little focus in the previous works on identifying all the influential elements. This study can be separated into two parts; the first involves context analysis, which is applied to numerous resources coded by NVivo 2020 and several codes derived from five subsystems. Subsequently, the identified factors within the PNDR projects’ life cycle are analyzed twice, and the existing interrelationships are found out. The factors’ redundancy is examined, and among the 59 final factors, an objective-based categorization is performed. The time-based objectives, known as Primary Success Factors (PSFs), and their subsets/influential parameters are lastly illustrated and used to structure the identification and measurement of Critical Success Factors (CSFs) for future research.

Under circumstances of pervasive global aging combined with weakened traditional family elder care, an incremental demand for institutional elder care is generated. This has led to a surge in research regarding institutional elder care. Rural residents’ institutional elder care is receiving more attention as a major theme in social sciences and humanities research. Based on 94 articles related to rural institutional elder care, this study identified the most influential articles, journals and countries in rural institutional elder care research since 1995. This was done using science mapping methods through a three-step workflow consisting of bibliometric retrieval, scoping analysis and qualitative discussion. Keywords revealed five research mainstreams in this field: (1) the cognition and mental state of aged populations, (2) the nursing quality and service supply of aged care institutions, (3) the aged care management systems’ establishment and improvements, (4) the risk factors of admission and discharge of aged care institutions, and (5) deathbed matters regarding the aged population. A qualitative discussion is also provided for 39 urban and rural comparative research papers and 55 pure rural research papers, summarizing the current research progress status regarding institutional elder care systems in rural areas. Gaps within existing research are also identified to indicate future research trends (such as the multi-dimensional and in-depth comparative research on institutional elder care, new rural institutional elder care model and technology, and correlative policy planning and development), which provides a multi-disciplinary guide for future research.