No abstract

Disposal of municipal solid waste (MSW) is one of the significant global issues that is more evident in developing nations. One of the key methods for disposing of the MSW is locating, assessing, and planning for landfill sites. Faisalabad is one of the largest industrial cities in Pakistan. It has many sustainability challenges and planning problems, including MSW management. This study uses Faisalabad as a case study area and humbly attempts to provide a framework for identifying and ranking landfill sites and addressing MSW concerns in Faisalabad. This method can be extended and applied to similar industrial cities. The landfill sites were identified using remote sensing (RS) and geographic information system (GIS). Multiple datasets, including normalized difference vegetation, water, and built-up areas indices (NDVI, NDWI, and NDBI) and physical factors including water bodies, roads, and the population that influence the landfill site selection were used to identify, rank, and select the most suitable site. The target area was distributed into 9 Thiessen polygons and ranked based on their favorability for the development and expansion of landfill sites. 70% of the area was favorable for developing and expanding landfill sites, whereas 30% was deemed unsuitable. Polygon 6, having more vegetation, a smaller population, and built-up areas was declared the best region for developing landfill sites and expansion as per rank mean indices and standard deviation (SD) of RS and vector data. The current study provides a reliable integrated mechanism based on GIS and RS that can be implemented in similar study areas and expanded to other developing countries. Accordingly, urban planning and city management can be improved, and MSW can be managed with dexterity.

The China Pakistan Economic Corridor (CPEC) project was signed between China and Pakistan in the year 2013. This mega project connects the two countries to enhance their economic ties and give them access to international markets. The initial investment for the project was $46 billion with a tentative duration of fifteen years. Being an extensive project in terms of cost and duration, many factors and risks affect its performance. This study aims to investigate the effects of political (PR), social safety (SR), and legal risks (LR) on the project performance (PP) of the CPEC. It further investigates the significance of the host country’s attitude towards foreigners (HCA). A research framework consisting of PR, SR, and LR as independent variables, PP as the dependent variable, and HCA as moderator is formulated and tested in the current study. In this quantitative study, the Likert scale is used to measure the impact of the assessed risks. A questionnaire survey is used as a data collection tool to collect data and test the research framework and associated hypotheses. The partial least square structural equation modeling (PLS-SEM) is used to perform the empirical test for validation of the study, with a dataset of 99 responses. The empirical investigation finds a negative relationship between PR, SR, LR, and PP. It is concluded that PR, SR, and LR negatively influence the PP of CPEC. Furthermore, HCA negatively moderates the PR, LR, and PP of CPEC. In contrast, the value of SR and PP is positive in the presence of the positive HCA.

When construction craft workers consider potential career alternatives, overall job satisfaction is a fundamental factor that influences their retention and productivity. This paper analyzes changes in job satisfaction and job preferences of craft workers in the US construction industry across successive economic recession–expansion cycles. The analysis used data from the General Social Survey (GSS) collected from 1974 to 2014 and compared job satisfaction and preferences of construction craft workers with those in other industries. The authors found that job preferences of the sampled construction respondents changed with each successive recession–expansion cycle and that the desire for high income became more prevalent than that for a sense of accomplishment in physical work, which has traditionally been the top job preference among construction workers in general. Overall job satisfaction among sampled construction respondents was equal to or slightly exceeded the overall job satisfaction of sampled respondents in other industries. Industry craft recruitment efforts can use these insights to design future recruitment and retention strategies.

Sustainability in architecture engages a wide range of considerations in the light of the significant negative impact of buildings on the environment. One aspect of research in this parlance engages the technological and the social dimensions of building innovation, which promote the use of renewable technology as a mitigation strategy. The challenge, however, is that the end-users or building clients do not always have sufficient awareness and information regarding these technologies to guide their decision to accept it. Consequently, the diffusion of said innovations is slow, and the environmental or building problems they were invented to solve persist at the expense of both humanity and the environment. This study, therefore, focuses on a quantitative investigation to ascertain the level of awareness and interest of residents in the United Arab Emirates (UAE) on Building Integrated Photovoltaics (BIPV) as an example of renewable energy-based building technology. In this study, 289 residents participated, following the distribution of a questionnaire to demographically distinct individuals. This distinction was used in the analysis to highlight different groups such as, gender, generations, and occupational background of the respondents. The findings of the study show, firstly, that there is a high level of awareness of BIPV in the sample. The study also shows that comparing awareness with each of these demographic variables produced a second layer of findings. For example, the statistical analysis showed that there is no significant difference between the level of awareness and any of the demographic characteristics of the study participants. However, there is a significant statistical difference (p = 0.000) between awareness and interest in BIPV. In concluding this study, recommendations for further research that elaborates other statistical variables and tests, as well as a follow-up qualitative investigation are planned and outlined for future studies. The findings of this investigation may be of benefit to researchers, policy makers, as well as energy companies and marketing agencies within and outside the region.