Considering the sensitivity to environmental safety is rooted in human genes, the external variables that affect the perception of environmental safety and their influence mechanisms have become a point of concern. The existing literature has proven that elements of the built environment are vital influencing factors; however, little is known about the mechanism by which the built environment affects perceived safety and multiple influence pathways have been ignored. Based on defining the concept of perceived safety, this article applies a structural equation model to study the relationship between the built environment and residents’ safety perception with the social environment and physical activity as potential mediators. The statistical results suggest that the variables of the built environment, social factors, and physical activity all significantly influence perceived safety. This finding also reveals that the social environment and group physical activities slightly mediate the relationship, proving that the built environment exerts both direct and indirect effects on perceived safety. This study provides evidence that built environment design is more important than previously thought because it contributes positively to the social atmosphere and encourages the passion for physical activities, which are also beneficial to safety perception.

In recent years, the installation of photovoltaic systems in China has increased steadily to gradually become large-scale, having a significant impact on the urban landscape. Research on this impact mostly focuses on visual impact and glare risk. However, differences in urban land use types may lead to differences in the impact of photovoltaic applications on the landscape. This study adapts visual Q methodology to assess the impact of photovoltaic applications on the landscape in urban areas. Landscape photographs of photovoltaic applications in different cities of China are collected and used during the concourse and Q sorting. The final Q sample is composed of 36 photographs of different photovoltaic materials at different levels of integration in six urban land use types. The P set is composed of 36 respondents, including experts and non-experts. In conclusion, environmental harmony, power generation, innovative design, installation height, and social benefits of photovoltaic systems are the main impacts of photovoltaic systems on urban landscapes. Photovoltaic systems in different urban land use types have different impacts on the landscape. The conclusions have policy implications for different urban land use types, which has significance for the construction of urban photovoltaic systems in the future.

The capacity of new installed photovoltaic (PV) in China in 2017 was increased to 53.06 GW, reaching a total of 402.5 GW around the world. Photovoltaic applications have a significant role in the reduction of greenhouse gas emissions and alleviating electricity shortages in the sustainable development process of cities. Research on the factors that influenced the spatial distribution of photovoltaic applications mostly focus on a certain project or a region. However, it is a complicated process for decision-making of photovoltaic installations in urban areas. This study uses zip code level data from 83 cities to investigate the influence of local environmental, economic and social variables on the spatial distribution of photovoltaic applications across China’s urban areas. By analyzing the current situation, the locations of urban photovoltaic applications are collected and presented. Statistical analysis software is used to evaluate the influence of selected variables. In this paper, correlation analysis, principle component analysis (PCA) and cluster analysis are generated to predict urban photovoltaic installations. The results of this research show that Gross Domestic Product (GDP), electricity consumption, policy incentives, the number of photovoltaic companies, population, age, education and rate of urbanization were important factors that influenced the adoption of urban photovoltaic systems. The results also indicate that Southeast China and Hangzhou Province are currently the most promising areas as they have a higher rate of solar photovoltaic installation. These conclusions have significancefor energy policy and planning strategies by predicting the future development of urban photovoltaic applications.

In the past five decades, privately owned public open spaces (POPOS) have become increasingly prevalent and significant in urban areas. However, the COVID-19 pandemic has led to significant changes in the performance and utilization of these spaces as the internal functions of adjacent buildings were shut down. This offers an opportunity to address the research gap in the theory of publicness—one of the most crucial attributes in these places due to their ownership and management—by assessing user satisfaction with spatial publicness in POPOS independently of adjacent commercial and corporate functions. This study aims to identify key environmental factors that significantly affect user satisfaction during a pandemic and develop adaptive strategies to enhance user satisfaction and resilience in such contexts. Based on a comprehensive literature review of previous assessment criteria for spatial publicness, the study proposes 30 vital indicators. Importance-performance analysis (IPA) is employed to analyze changes in user satisfaction regarding these vital indicators. Data from 386 users of Plaza Gae Aulenti in Milan, Italy were collected via an online questionnaire. The findings reveal that optimizing physical facilities and visual permeability are crucial environmental factors for promoting a higher degree of publicness during pandemics, as evidenced by a comparison of pre-COVID-19 and post-COVID-19 feedback. This study addresses the research gap by assessing the spatial publicness of POPOS independently of adjacent commercial and corporate functions. These findings have practical implications for the design and regulation of future projects in the post-COVID-19 era.

Human activities are the primary source of energy consumption and CO₂ emissions. Adopting low-carbon behaviors (LCBs) can effectively reduce carbon emissions, which in turn helps alleviate environmental problems. Previous research shows that low-carbon policies can promote LCBs, while an extensive understanding of the effects of multi-types of low-carbon policies on various LCBs needs to be verified. Analyses on influencing factors regarding LCBs are dominated before, and place attachment and low-carbon behavioral intention as the influencing factors of LCBs, their relationship with low-carbon policy and LCBs needs to be clarified. By taking a questionnaire survey of residents of Hangzhou, China, this study presents a conceptual framework capable of analyzing the relationship between three types of low-carbon policies, including information policy, economic policy, and administrative regulations, and two types of LCBs, including low-carbon consumption (LCCB) and travel (LCTB) behavior, considering the mediation effect of place attachment and low-carbon behavioral intention in a single structural equation model. The results illustrate that administrative regulations and information policy have a direct positive impact on LCCB, and information policy has the most significant influence. Economic policy and administrative regulations directly impact LCTB, and administrative regulations have the most significant influence. The influence of administrative regulations on LCTB is more excellent than on LCCB. Information policy indirectly affects two types of LCBs through the chain mediation effect of place attachment and low-carbon behavioral intention. The results should be helpful to low-carbon policymakers seeking to promote LCBs to consider the importance of place attachment and various low-carbon policies. Moreover, they enrich our understanding of the influencing mechanism of LCBs.