Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and Tobago
This data article explores the factors that contribute to cost overrun on public sector projects within Trinidad and Tobago. The data was obtained through literature research, and structured questionnaires, designed using open-ended questions and the Likert scale. The responses were gathered from pr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923009976 |
| _version_ | 1797317155065167872 |
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| author | Aaron Anil Chadee Chamari Allis Upaka Rathnayake Hector Martin Hazi M Azamathulla |
| author_facet | Aaron Anil Chadee Chamari Allis Upaka Rathnayake Hector Martin Hazi M Azamathulla |
| author_sort | Aaron Anil Chadee |
| collection | DOAJ |
| description | This data article explores the factors that contribute to cost overrun on public sector projects within Trinidad and Tobago. The data was obtained through literature research, and structured questionnaires, designed using open-ended questions and the Likert scale. The responses were gathered from project actors and decision-makers within the public and private construction industry, mainly, project managers, contractors, engineers, architects, and consultants. The dataset was analysed using frequency, simple percentage, mean, risk impact, and fuzzy logic via the fuzzy synthetic evaluation method (FSE). The significance of the analysed data is to determine the critical root causes of cost overrun which affect public sector infrastructure development projects (PSIDPs), from being completed on time and within budget. The dataset is most useful to project and construction management professionals and academia, to provide additional insight into the understanding of the leading factors associated with cost overrun and the critical group in which they occur (political factors). Such understanding can encourage greater decisions under uncertainty and complexity, thus accounting for and reducing cost overrun on public sector projects. |
| first_indexed | 2024-03-08T03:30:46Z |
| format | Article |
| id | doaj.art-e5149b1cff1a4f7195b0445952f384c9 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-08T03:30:46Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-e5149b1cff1a4f7195b0445952f384c92024-02-11T05:10:44ZengElsevierData in Brief2352-34092024-02-0152109966Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and TobagoAaron Anil Chadee0Chamari Allis1Upaka Rathnayake2Hector Martin3Hazi M Azamathulla4Department of Civil and Environmental Engineering, The Faculty of Engineering, The University of West Indies, St. Augustine 32080, Trinidad and Tobago; Corresponding author.Department of Quantity Surveying, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe 10115, Sri LankaDepartment of Civil Engineering and Construction, Faculty of Engineering and Design, Atlantic Technological University, Ash Lane, F91 YW50 Sligo, IrelandDepartment of Civil Engineering, Queen's University Belfast, University Belfast, United KingdomDepartment of Civil and Environmental Engineering, The Faculty of Engineering, The University of West Indies, St. Augustine 32080, Trinidad and TobagoThis data article explores the factors that contribute to cost overrun on public sector projects within Trinidad and Tobago. The data was obtained through literature research, and structured questionnaires, designed using open-ended questions and the Likert scale. The responses were gathered from project actors and decision-makers within the public and private construction industry, mainly, project managers, contractors, engineers, architects, and consultants. The dataset was analysed using frequency, simple percentage, mean, risk impact, and fuzzy logic via the fuzzy synthetic evaluation method (FSE). The significance of the analysed data is to determine the critical root causes of cost overrun which affect public sector infrastructure development projects (PSIDPs), from being completed on time and within budget. The dataset is most useful to project and construction management professionals and academia, to provide additional insight into the understanding of the leading factors associated with cost overrun and the critical group in which they occur (political factors). Such understanding can encourage greater decisions under uncertainty and complexity, thus accounting for and reducing cost overrun on public sector projects.http://www.sciencedirect.com/science/article/pii/S2352340923009976Project managementConstruction industryRoot causesPoliticalTechnicalCost overruns |
| spellingShingle | Aaron Anil Chadee Chamari Allis Upaka Rathnayake Hector Martin Hazi M Azamathulla Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and Tobago Data in Brief Project management Construction industry Root causes Political Technical Cost overruns |
| title | Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and Tobago |
| title_full | Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and Tobago |
| title_fullStr | Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and Tobago |
| title_full_unstemmed | Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and Tobago |
| title_short | Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and Tobago |
| title_sort | data exploration on the factors associated with cost overrun on social housing projects in trinidad and tobago |
| topic | Project management Construction industry Root causes Political Technical Cost overruns |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923009976 |
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