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This article uses evolutionary game theory and system dynamics methods to construct an evolutionary game model involving the government, social capital parties, and residents. It explores the optimal stable strategies and influencing factors for green renovation in old residential areas. The study finds that the optimal stable strategy for the three parties is E8(1,1,1), which means government choice incentives, social capital parties choice green renovation, and residents choice payment participation. Moreover, the choice and rate of behavioral strategies for all three parties depend on the strength of government incentives and penalties.

The tranquil environment of high-density urban residential areas had an important impact on the quality of life of residents, but low sound pressure level didn’t necessarily lead to a tranquil experience. The purpose of this study was to explore the constituted and affected factors of tranquility in high-density urban residential areas. Nine high-density urban residential areas were selected, and 216 questionnaires of evaluations on tranquility, the sound sources and environmental indicators of residential areas were collected. Principal component analysis, correlation analysis and multiple linear regression were used to analyze the data. The results showed that perception of restorativeness (72.61%) and pleasantness (27.39%) constituted the evaluation of residential tranquility. Natural sound sources of wind, leaves, and birds promoted restorativeness and pleasantness of tranquility, while selling loudspeakers, mechanics, and traffic reduced restorativeness and pleasantness of residents. Meanwhile, many environmental factors, such as public infrastructure, landscape greening, and security affected the tranquility, except public spaces or cleanliness. Moreover, richness of plant configuration was not a factor which affected restorativeness of tranquility evaluation either in this study. This study constructed the evaluation system of residential tranquility, clarified the mechanism of sound source and environmental factors, and provided theoretical basis and practical guidance for soundscape optimization and environmental design of high-density urban residential areas. It is suggested to integrate natural soundscape, add noise reduction facilities, optimize greening configuration and improve environmental quality in residential area planning, so as to enhance residents’ restorativeness and pleasantness, and promote sustainable development of community.

The urban heat island and dry island effects greatly affect people's physical and mental health, and there is almost no previous research on the actual measurement of heat island and dry island effects in specific climate zones. This article conducts experimental research on heat islands and dry islands in urban residential areas, suburbs, and water parks in mild regions, or in areas with large wetland parks, and sets reasonable building spacing. In residential area construction, natural resources such as mountains, water bodies, and wetlands should be preserved more, and residential areas should be planned around the park as much as possible. The construction of wetland parks helps to create a microenvironment and regulate the heat and moisture balance of residential areas, but the size and distance of wetland parks directly affect their contribution effect.

While buildings are often credited as accounting for some 40% of the global greenhouse gas (GHG) emissions, the construction phase is typically assumed to account for only around one tenth of the overall emissions. However, the relative importance of construction phase emissions is quickly increasing as the energy efficiency of buildings increases. In addition, the significance of construction may actually be much higher when the temporal perspective of the emissions is taken into account. The construction phase carbon spike, i.e. high GHG emissions in a short time associated with the beginning of the building's life cycle, may be high enough to question whether new construction, no matter how energy efficient the buildings are, can contribute to reaching the greenhouse gas mitigation goals of the near future. Furthermore, the construction of energy efficient buildings causes more GHG emissions than the construction of conventional buildings. On the other hand, renovating the current building stock together with making energy efficiency improvements might lead to a smaller construction phase carbon spike and still to the same reduced energy consumption in the use phase as the new energy efficient buildings. The study uses a new residential development project in Northern Europe to assess the overall life cycle GHG emissions of a new residential area and to evaluate the influence of including the temporal allocation of the life cycle GHG emissions in the assessment. In the study, buildings with different energy efficiency levels are compared with a similar hypothetical area of buildings of the average existing building stock, as well as with a renovation of an area with average buildings from the 1960s. The GHG emissions are modeled with a hybrid life cycle assessment. The study suggests that the carbon payback time of constructing new residential areas is several decades long even when using very energy efficient buildings compared to utilizing the current building stock. Thus, while increasing the overall energy efficiency is important in the long term, the construction of new energy efficient buildings cannot be used as a means to achieve the short term and medium term climate change mitigation goals as cities and governments often suggest. Furthermore, given the magnitude of the carbon spike from construction and its implications, the climate change mitigation strategies should set reduction targets for the construction phase emissions alongside the ones for the use phase, which currently receives almost all of the attention from policy-makers.

With the acceleration of the current urbanization process, as well as the in-depth promotion and implementation of the urban residential reconstruction project, the residential building density is gradually increasing, which makes people’s living environment gradually affected by the residential layout mode. The reasonable planning of the layout mode of residential area through computer technology is helpful to make the layout of residential area have more comfortable living environment suitable for living. Based on this, this paper first analyzes the component elements of microclimate, then studies the environmental impact factors of cold residential area, and finally gives the optimization strategy of cold residential area layout mode based on computer microclimate optimization.

Children’s activity spaces in communities designed for children’s recreation are related to children’s safety and physical health. Outdoor thermal comfort of children’s activity spaces in high-density urban residential areas is the key to children’s use in summer. To this end, meteorological measurements and questionnaires were conducted to better understand children’s outdoor thermal comfort in summer, and children’s outdoor thermal comfort was evaluated using the universal thermal climate index (UTCI) for children’s activity spaces in high-density residential areas of Chongqing, China. We draw four conclusions: (1) Different landscape types of children’s activity spaces have different effects on outdoor thermal comfort, and gender differences also affect outdoor thermal comfort in the same type of children’s activity space. (2) Global radiation (G) and air temperature (Ta) were the primary meteorological factors influencing children’s thermal sensations. (3) Outdoor thermal comfort of children’s activity spaces in high-density urban residential areas was inferior overall. (4) Neutral UTCI (NUTCI) for male and female children in Chongqing were 22.2 °C and 21.8 °C, NUTCI ranges (NUTCIR) were 18.4–26.1 °C (male) and 16.2–27.3 °C (female), and acceptable UTCI ranged from 23.2 to 39.1 °C (male) and 22.8 to 40.3 °C (female). The results provide guidance for landscape architects and urban planners in the Chongqing area to create comfortable outdoor spaces for children, improve their physical activity levels, and promote their physical and mental health.

As global climate change intensifies and energy crises deepen, photovoltaic (PV) applications in cities are increasingly garnering attention worldwide. In this context, retrofitting existing high-density residential areas with PV applications is becoming a focus of urban low-carbon development. As the most densely populated city in Western China, Chengdu is characterized by rapid development and high energy consumption. The widespread application of photovoltaic (PV) systems could significantly alleviate its energy consumption issues. This research investigated the PV application potentials of 27 non-residential areas in high-density residential areas in Chengdu, Sichuan Province from a design perspective and proposed design recommendations for PV applications in these spaces. In addition, this study analyzed urban morphological factors affecting the PV generation potential in non-residential areas through a Pearson correlation. The key factors influencing the PV application potential in these areas were building density (BD), non-residential area perimeter-to-area ratio (NBPAR), and maximum building height (Hmax). This research aims to provide new strategies and methods for the low-carbon transformation of future urban high-density residential areas.

Many studies have investigated the effects of transit-oriented development (TOD) on travel behavior, especially on transit ridership. However, most studies do not explicitly and effectively address the issue of residential self-selection in their analyses. The aim of this paper is to use cross-sectional data and propensity score matching (PSM) technique to quantify the contribution of residential self-selection to the analysis of mode choice in TOD areas across the metropolitan areas of Washington, D.C. and Baltimore, MD. The authors use PSM because it does not make substantive assumptions to the structure of the self-selection problem (e.g., explicit modeling of outcome and treatment). The results of PSM indicate that, even though the self-selection effect is considerable in the analysis of mode choice in TOD areas (about 7.65% in Washington, D.C. and 5.05% in Baltimore), living in TOD still has a significant impact on encouraging transit and other active modes of transportation.

In order to solve the problem of extensive land use in rural residential areas and promote the construction of a new socialist countryside and farmland protection, it is important to graspe the temporal and spatial evolution of rural settlements. In this study, with Beijing as an example, the efficiencies of CLUE-S and Markov-CA models in simulating spatial temporal evolution of rural residential areas are analyzed. With 14 driving factors chosen, the land uses in Beijing in 2000 and 2005 are simulated and predicted using the two models. Grid size of 220 m × 220 m is used. The accuracies and Kappa coefficients of the simulation and prediction results are analyzed and the following conclusions are made. The core part of CLUE-S model is logistic regression, which grants it obvious advantage in capturing the trends of land use changes with more discrete distributions. Meanwhile, Markov-CA model takes neighborhood into consideration, making it relatively more advantageous in simulating and predicting changes of land uses with the character of nearest-neighbor diffusion. However, among various land uses, only urban land use has this character, the correct prediction rates of the CLUE-S model in 2000 and 2005 were 60.99% and 81.35%, respectively, while the accuracy of the Markov-CA model prediction was 51.33% and 73.68%, and it is the main reason that CLUE-S model returns better simulation and prediction results of rural residential areas for both 2000 and 2005 than Markov-CA model.

Bioaerosols exist in almost every environment and are known to be risk factors for a variety of diseases. Agricultural work involves high exposure to bioaerosols and its workplace concentrations affect the surrounding areas. The study evaluates bioaerosol concentrations in agricultural workplaces and residential areas according to farm type. In 2013-2015, a total of 381 samples were collected for endotoxin and microbial testing from three farm types: open field, greenhouse, and livestock facilities. Endotoxins were measured using a 37-mm glass fire filter connected to an air pump calibrated to 2 LPM. Microorganisms were measured using a gelatin filter and impaction (single-stage Andersen sampler). The concentration of endotoxins and microorganisms at the livestock facilities was significantly higher than in the open fields and greenhouses (p<0.05). Among the livestock farms, the concentrations of endotoxins and gram-negative bacteria were highest at hog farms, and the concentrations of total bacteria and fungi were the highest in poultry houses. In both greenhouses and livestock facilities, the concentrations of bioaerosols were higher in the workplace than in a nearby residential area, and the difference in concentration was significantly greater in the case of livestock facilities. The concentrations of bioaerosols in agricultural workplaces and nearby residential areas were higher than in the control and general areas. Therefore, measures should be taken to prevent exposure to bioaerosols at agricultural workplaces and their vicinities.