Yongqi Guo

With the rapid pace of urbanization, the public-interest renovation of community spaces has emerged as a critical focus in urban planning and community development. These public spaces not only support residents’ daily activities, social interactions, and cultural endeavors but also play a vital role in shaping their quality of life and fostering community cohesion. The willingness of residents to participate in such renovation projects significantly impacts the effectiveness and success of these initiatives. This study offers a comprehensive review of both domestic and international literature, synthesizing insights from behavioral science and social psychology. It identifies four key categories of factors that influence residents’ willingness to engage in public-interest renovation efforts: external environment, project attributes, residents’ subjective perceptions, and demographic characteristics. Based on this framework, sixteen secondary indicators were selected to construct a model explaining these factors. Drawing on established measurement scales and expert interviews, a survey instrument was developed for data collection. The data, gathered through questionnaire surveys, were analyzed using structural equation modeling to test the study hypotheses. The results revealed several significant findings: Among demographic factors, age, household size, and family structure were the primary differentiators of participation willingness. In terms of project attributes, comfort, openness, and sensory appeal were found to positively influence participation. External environmental factors, including policies, social atmosphere, and available information, indirectly impacted participation through residents’ perceptions. Furthermore, residents’ subjective perceptions, such as perceived usefulness and overall attitude, had direct positive effects on their willingness to participate. These findings contribute valuable insights to the field of urban sustainable development and the long-term viability of community spaces. They also provide actionable recommendations for community managers to develop targeted renovation and governance strategies that effectively engage residents.

Electric bikes (e-bikes) offer a low-carbon, space-efficient solution for campus mobility, yet their sustainable potential is increasingly challenged by patterns of non-compliant use, including speeding, informal parking, and unauthorized charging. This study integrates the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) to examine the cognitive and contextual factors that shape such behaviors among university students. Drawing on a survey of 408 e-bike users and structural equation modeling, the results show that non-compliance is primarily driven by perceived usefulness, ease of action, and behavioral feasibility, with affective and normative factors playing indirect, reinforcing roles. Importantly, actual behavior is influenced not only by intention but also by students’ perceived capacity to act within low-enforcement environments. These findings highlight the need to align behavioral perceptions with sustainability goals. The study contributes to sustainable mobility governance by clarifying key psychological pathways and offering targeted insights for designing perception-sensitive interventions in campus transport systems. Furthermore, by promoting compliance-oriented campus mobility, this research highlights a pathway toward enhancing the resilience of transport systems through behavioral adaptation within semi-regulated environments.

The construction industry’s poor safety is a global issue, with construction workers’ unsafe behaviors (CWUBs) identified as a major cause of accidents. Based on social cognitive theory (SCT) and using multiple regression analysis, this study categorizes accident experience (AE) into direct and indirect types, examining how each affects CWUBs and the roles of risk perception (RP), safety attitude (SA), and safety competence (SC) in these relationships. Utilizing a structured questionnaire completed by 334 valid respondents and analyzed through structural equation modeling (SEM), the study found that indirect experience (IE) significantly reduced CWUBs, with a standardized path coefficient of −0.364, while direct experience (DE) has a smaller impact, with a standardized path coefficient of −0.154, but a significant p. Furthermore, IE positively influenced RP, SA, and SC, explaining 66.8% of its total effect. This study offers a new framework for understanding how AE influences CWUBs, providing actionable insights for managers to implement effective strategies that reduce CWUBs on construction sites.