Construction activities generate a large amount of dust and cause significant impacts on air quality of surrounding areas. Thus, revealing the characteristics of construction dust is crucial for finding the way of reducing its effects. To fully uncover the characteristics of construction dust affecting surrounding areas, this study selected seven representative construction sites in Qingyuan city, China as empirical cases for field evaluation. In the experiment, the up-downwind method was adopted to monitor and collect TSP (total suspended particulate), PM₁₀ and PM_2.5 (particulate matter ≤10 µm and 2.5 µm in aerodynamic diameter, respectively) concentrations, meteorological data and construction activities of each site for 2 to 3 days and 18 h in a day. The results show that the average daily construction site makes the surrounding areas’ concentration of TSP, PM₁₀ and PM_2.5 increase by 42.24%, 19.76% and 16.27%, respectively. The proportion of TSP, PM₁₀ and PM_2.5 in building construction dust is 1, 0.239 and 0.116, respectively. The large diameter particulate matter was the major constituent and the distance of its influence was limited. In addition, construction vehicles were one of the main influencing factors for building construction dust. However, building construction dust was not significantly correlated with any single meteorological factor when it did not change too much. Findings of this research can provide a valuable basis for reducing the impact of building construction dust on surrounding areas.

The bulk of the particulate matter (PM) emissions generated during construction projects are significantly released during the earthwork and foundation stages. To reduce and control these emissions, it is necessary to have reliable data on their characteristics. However, construction PM are poorly characterized because their composition depends on several factors (e.g., weather and reduction measures) and various on-site activities whose effects may interact. To address these challenges, a long-term quantitative empirical study using advanced statistical methods was performed on a real construction project during the whole earthwork and foundation stages. The upwind-downwind method was used to collect data on PM emissions throughout the earthwork and foundation construction process, and correlation analysis, paired samples t-test, and partial least squares regression (PLS) were used to analyze TSP, PM₁₀, and PM_2.5 emissions and their relationships with various influencing factors. The results showed that both earthwork and foundation constructions generate substantial PM emissions because there were differences with statistical significances in the PM levels measured upwind and downwind of the construction site. TSP and PM₁₀ emissions correlated moderately with humidity and wind speed. However, temperature and atmospheric pressure did not correlate significantly with any of the measured emissions. The main activities responsible for PM emissions during the earthwork and foundation construction stages were hammer piling, waste stacking, and materials transportation. Water spraying was found to effectively reduce TSP and PM₁₀ emissions, while the use of a fog cannon more effectively reduced PM_2.5 emissions. Construction PM is an important source of atmospheric pollution in cities; the findings presented herein provide cornerstone and knowledge to guide efforts for reducing its impact.

With the improvement of social housing policies and an increase in the quantity of public housing stock, issues such as poor property management service, poor housing quality, and insufficient public services remain to be resolved. This study focuses on the human settlement environments of public housing communities in Guangzhou and establishes an evaluation system containing built environments and housing environments satisfaction criteria. In our analysis, the evaluation system was modified using data collected from surveys through factor analysis, which reduced dimensions to the indoor environment, the community environment, and social relations. Moreover, multivariable regression analysis was performed to identify the differences of needs among residents with different living environments and family backgrounds. The result shows that housing area, transportation resources, and public services have met the basic needs of residents who were generally satisfied with the community environment of their public housing. However, acoustic insulation and community amenities in the city were found to be relatively poor and still have space for improvement. Further, requirements on indoor housing environments and social relations of residents living alone need more attention. Specific recommendations based on this study can be used as a reference for future public housing construction and improvements.

Construction accounts for a considerable number of environmental impacts, especially in countries with rapid urbanization. A predictive environmental assessment method enables a comparison of alternatives in construction operations to mitigate these environmental impacts. Process-based life cycle assessment (pLCA), which is the most widely applied environmental assessment method, requires lots of detailed process information to evaluate. However, a construction project usually operates in uncertain and dynamic project environments, and capturing such process information represents a critical challenge for pLCA. Discrete event simulation (DES) provides an opportunity to include uncertainty and capture the dynamic environments of construction operations. This study proposes a predictive assessment method that integrates DES and pLCA (DES-pLCA) to evaluate the environmental impact of on-site construction operations and supply chains. The DES feeds pLCA with process information that considers the uncertain and dynamic environments of construction, while pLCA guides the comprehensive procedure of environmental assessment. A DES-pLCA prototype was developed and implemented in a case study of an 18-storey building in Northeast China. The results showed that the biggest impact variations on the global warming potential (GWP), acidification potential (AP), eutrophication (EP), photochemical ozone creation potential (POCP), abiotic depletion potential (ADP), and human toxicity potential (HTP) were 5.1%, 4.1%, 4.1%, 4.7%, 0.3%, and 5.9%, respectively, due to uncertain and dynamic factors. Based on the proposed method, an average impact reduction can be achieved for these six indictors of 2.5%, 21.7%, 8.2%, 4.8%, 32.5%, and 0.9%, respectively. The method also revealed that the material wastage rate of formwork installation was the most crucial managing factor that influences global warming performance. The method can support contractors in the development and management of environmentally friendly construction operations that consider the effects of uncertainty and dynamics.

Despite increased prosperity of public project provision in China, their social sustainability level is relatively low. To this end, this paper compiles a list of social sustainability indicators based on a comprehensive literature review. A series of interviews are then organized and experts invited to rate and prioritize these factors. The findings reveal that four participation-related indicators (i.e., F1 encouraging stakeholder participation, F2 well-established stakeholder participatory channels, F3 timely feedback to the participants, and F4 practical mechanisms coping with stakeholder conflicts), together with the safety issues, are the top concerns of the overall interviewees. Effective and efficient stakeholder participation helps to ensure the required public projects are properly planned, designed, built, operated, and demolished to serve the well-being of various parties in a complex society. Its development in the Chinese construction industry is however rudimentary and a comprehensive participatory framework is needed to improve project sustainability.

In order to study the impact of PM10 particle pollutant emissions on air at construction sites and its influencing factors, this study select six typical construction sites in Qingyuan City, and monitor PM10 particle emissions from sample sites in accordance with relevant national standards, and conduct econometric analysis. The following conclusion can be drawn: (1) there is indeed a slight PM10 pollution situation on some construction sites, but the main reason for PM10 concentration exceeds the limit is the external atmospheric environment rather than the construction site itself. (2) The PM10 pollutants generated by the dust at the construction site have a certain degree of impact on the air throughout the city. (3) Whether the upwind or downwind direction, the concentration value of the measuring point mainly depends on the air quality of the basic environment, and the correlation with the single meteorological factors is not obvious. (4) The dust generated by vehicles traveling has an important influence on the PM10 particle emission intensity at the construction site.