Root Cause of Cost Overrun Risks in Public Sector Social Housing Programs in SIDS: Fuzzy Synthetic Evaluation

Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and Tobago

“…Through the application of fuzzy logic, namely fuzzy synthetic evaluation, the 22 critical risk factors (CRFs) were classified under four critical risk groups (CRGs), namely, political, socio-economical, technical, and psychological, and ranked overall according to their category, based on the risk impact ( Table 14 ) [ 1 ]. The weighing function, of the CRFs, (second-level) and CRGs (first level) are calculated from the mean values, obtained through SPSS for both its probability and severity ( Table 15 ).…”

“…The data was obtained through literature research, and structured questionnaires. A total of 150 questionnaires were distributed to Project Managers, Contractors, Engineers, Architects, and Consultants within the construction industry who have been involved in social housing projects [ 1 ]. The data received from the participants were presented as follows: The data on the highest level of education attained by the respondents is presented in Table 1 which illustrates that more than 70% of respondents have a minimum qualification of a Bachelor of Science degree, data on the professional role ( Table 2 ) which highlighted that respondents represent mainly five professional roles, sector of employment in which they are employed ( Table 3 ) either in the public sector or the private sector, types of projects mainly carried out by the organisations to which the participants belong ( Table 4 ) under main eight categories, the number of employees ( Table 5 ) where that most of the respondents are belonging to the organisations which are having more than 200 employees, number of projects participated in ( Table 6 ), annual estimated turn over ( Table 7 ), expected duration of projects ( Table 8 ), and the actual time spent ( Table 9 ).…”