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

被引：3

作者：

Chadee, Aaron Anil ^{[1
]}

Allis, Chamari ^{[2
]}

Rathnayake, Upaka ^{[3
]}

Martin, Hector ^{[4
]}

Azamathulla, Hazi M. ^{[1
]}

机构：

[1] Univ West Indies, Fac Engn, Dept Civil & Environm Engn, St Augustine 32080, Trinidad Tobago

[2] Sri Lanka Inst Informat Technol, Fac Engn, Dept Quant Surveying, Malabe 10115, Sri Lanka

[3] Atlantic Technol Univ, Fac Engn & Design, Dept Civil Engn & Construct, Ash Lane, Sligo F91 YW50, Ireland

[4] Queens Univ Belfast, Dept Civil Engn, Belfast, North Ireland

来源：

DATA IN BRIEF | 2024年 / 52卷

关键词：

Project management; Construction industry; Root causes; Political; Technical; Cost overruns; Small Island developing states;

D O I：

10.1016/j.dib.2023.109966

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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 encour age greater decisions under uncertainty and complexity, thus accounting for and reducing cost overrun on public sector projects. Crown Copyright (c) 2023 Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

引用

页数：18