ABSTRACT
This dataset conducted a comparative analysis of sustainable construction practices of foreign and indigenous construction firms in Lagos state, Nigeria using a structured questionnaire survey. The dataset contains the level of awareness and consistency of practice of sustainable development on construction projects between the foreign and indigenous construction firms and the impact of implementing sustainable development practices. Descriptive analysis such as frequencies, percentage and mean score were used to present the quantitative data in form of tables. Further analysis of the dataset highlight the practices of indigenous and foreign construction firms in sustainable development which can be beneficial to stakeholders in environmental protection and mitigating climate change issues.
ABSTRACT
The data survey focused on building control measures which are critical in attaining sustainable built environment. The data examined the public and private professional׳s performance of building control measures and its barriers in Lagos. The targets consist of sixty (60) construction experts in public and private construction firms operating in Lagos. The sample size was generated from the pool of registered construction professional׳s from private and public construction organizations in Lagos using random sampling technique. Descriptive statistics and inferential tests which include Kruskal-Wallis and Mann-Whitney U tests were performed on the dataset generated. The data harvested will avail the construction expert׳s in public and private construction industry on the need for partnership in a bid to enhance building control measures performance in Lagos.
ABSTRACT
The unique qualities of women can make them bearers of solutions towards achieving sustainability and dealing with the dangers attributed to climate change. The attitudinal study utilized a questionnaire instrument to obtain perception of female construction professionals. By using a well-structured questionnaire, data was obtained on women participating in green jobs in the construction Industry. Descriptive statistics is performed on the collected data and presented in tables and mean scores (MS). In addition, inferential statistics of categorical regression was performed on the data to determine the level of influence (beta factor) the identified barriers had on the level of participation in green jobs. Barriers and the socio-economic benefits which can guide policies and actions on attracting, retaining and exploring the capabilities of women in green jobs can be obtained from the survey data when analyzed.
