It is acknowledged that construction safety is pivotal to the project management objectives. Meanwhile, the concept of resilience provides an effective and pragmatic countermeasure to improve the safety management level of construction projects. However, the “resilience” has not gained considerable attention in the construction safety management system. In this context, the paper aims to develop the key safety management factors for construction projects from the resilience perspective. Firstly, the theoretical framework and key safety management factors of construction safety management system based on the resilience theory are proposed. The importance of each factor is then obtained by using the method of structural equation modeling (SEM). The results indicate that information management, material and technology management, organization management and personnel management would improve the safety and resilience of the project. Specifically, improving the resilience of information flow to strengthen the interaction among elements of the system can enhance the safety management level. These findings can be used as references for construction safety managers to improve the abilities of preventing safety accidents and recovering after safety accidents.

With global climate change and rapid urbanization, it is critical to assess urban flood resilience (UFR) within the social-economic-natural complex ecosystem in dealing with urban flood disasters. This research proposes a conceptual framework based on the PSR-SENCE model for evaluating and exploring trends in urban flood resilience over time, using 27 cities in the Yangtze River Delta (YRD) of China as case studies. For the overall evaluation, a hybrid weighting method, VIKOR, and sensitivity analysis were used. During that time, UFR in the YRD region averaged a moderate level with an upward trend. This distinguishes between the resilience levels and fluctuation trends of provinces and cities. Jiangsu, Zhejiang, and Anhui provinces all displayed a trend of progressive development; however, Shanghai displayed a completely opposite pattern, mainly because of resilience in the state dimension. During that time, 81.41% of cities exhibited varying, upward trends in urban flood resistance, with few demonstrating inverse changes. Regional, provincial, and city-level implications are proposed for future UFR enhancement. The research contributes to a better understanding of the urban complex ecosystem under flood conditions and provides significant insights for policymakers, urban planners, and practitioners in the YRD region and other similar flood-prone urban areas.

As the number of elderly continues to increase in China, anxiety about related problems has encouraged special care for the elderly. Social organizations participating in community and home-based elderly care services (SO-CHECS) seem to be a promising way to address these problems, but it also raises new challenges, such as uncoordinated cooperation among stakeholders, which would lead to low elderly care service quality and hinder the active participation of social organizations. However, synergetic development can be introduced to enhance the participation of social organizations and to improve social welfare. Thus, this study utilizes system dynamics (SD) to investigate how the overall synergy degree of the SO-CHECS system is affected by the dynamic interactions of main elements/subsystems of this system. It also provides a practical tool through which the effectiveness of various management measures in improving the synergy degree of SO-CHECS could be simulated in advance so that the key factors that restrict the development of SO-CHECS can be analyzed and potential effective policies can be designed. In this way, knowledge of the synergic development of the SO-CHECS system will help managers or policy makers to form optimal cooperative relationships among collaborative stakeholders, improve satisfaction for the elderly, and achieve high-efficient resource utilization for the whole city.

This study examines the governance of building carbon markets in the context of China’s “dual-carbon strategy”, focusing specifically on the integration of Monitoring, Reporting, and Verification (MRV) systems. The study identifies critical challenges in China’s emissions-trading scheme (ETS), such as weak corporate compliance incentives, high regulatory costs, and concerns about third-party verification independence, which hinder the effectiveness of carbon pricing and technology adoption. Using a three-player evolutionary game model involving the government, carbon-emitting firms, and third-party verifiers, the study finds that moderate government supervision, performance-based incentives, and stronger penalties lead to long-term stability and optimal governance. Based on these findings, policy recommendations are made, including tiered penalties, targeted incentives for green technology adoption, and the strengthening of third-party verification mechanisms to enhance market governance and support China’s carbon-reduction goals in the building sector.