Highlights Human factors in public sectors for epidemic prevention need systematic analysis. The Human Factors Analysis and Classification System is suitable for this purpose. Bayesian Network theory enables probability prediction and key factors diagnosis. Hybrid model’s feasibility is tested by analyzing the COVID-19 outbreak in China.

Sustainable development has been commonly identified as a vital target in the construction industry. Studies have examined different management strategies and procedures to promote resource utilization efficiency, while the human factors in sustainable construction have received far less attention. This paper investigates the influence of Project Citizenship Behavior (PCB) on project performance in the sustainable construction context. After introducing the concept of “relationship sustainability,” a moderating model is established. Data are collected from 152 experienced construction project managers in China. The results show positive relationships between most dimensions of Project Citizenship Behavior and construction sustainability performance, in spite of the negative effect of taking charge on relationship sustainability. Moreover, the degree of complexity of projects acts as a moderator in the relationship between Project Citizenship Behavior and construction sustainability performance. This paper endeavors to enrich the knowledge of sustainable construction by regarding human behavioral factors as important resources and explaining their effect on project sustainability, thus shedding light on the theory of sustainable construction by extending it to the micro-level analysis, as well as offering guidelines about how to raise the sustainability level of construction projects.

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Mobilizing the public to take anti-pandemic behavior (APB) by strengthening informational support has been recognized as an effective strategy to combat the COVID-19 pandemic. However, it remains unclear how health-related informational support from different channels affects individual factors and, thus, the adoption of different types of APB as the pandemic situation changes. To resolve this issue, we build a multiple mediation model to investigate the associations among informational support from three different channels, two individual internal factors, and two kinds of APB. A three-stage longitudinal study administered to Chinese citizens from February to October 2020 revealed that informational support from media played the most critical role in facilitating individuals’ adoption of compliance APB, while informational support from family was the most significant predictor of the adoption of participation APB. Meanwhile, these effects were mediated by risk perception and anti-pandemic motivation, and weakened to varying degrees as the pandemic situation eased. It is recommended that authorities adjust the focus of publicity strategies in light of the changing situation, and make efforts to heighten the public’s risk perception and anti-pandemic motivation. This study contributes to deepening the understanding of the dynamic efficacy of informational support from different channels on individuals’ adoption of two heterogeneous APBs, and thus to the formulation of more scientific, and situation-based publicity strategies during a public health crisis.