Alemu, S K (2022) Construction time prediction model for public building projects. Engineering, Construction and Architectural Management, 29(5), pp. 2183-2206. ISSN 0969-9988
Abstract
Purpose: The aim of the study was to develop a practical construction time model for public building projects in Addis Ababa, Ethiopia. Design/methodology/approach: This research work used regression analysis and also exploratory scatter and residual plot techniques. Simple and multiple regressions were used for the investigation of the best fit time model. The analyses were carried out using IBM SPSS statistical software, version 20. Findings: The result revealed that the Bromilow time-cost principle was moderately applicable. However, the cubic regression model (CUB) was found a better time-cost relationship. On the contrary, the study has shown a poor relationship between actual time and gross floor area. Furthermore, multiple linear regression analysis (MLR) consists of three statistically significant variables were found a better fit time model. Research limitations/implications: The study is limited to only six project scope factors. Further research is recommended to include more building projects of similar type and implications of other factors to improve the reliability of the models. Practical implications: The developed model was not intended as a replacement for detailed construction scheduling techniques. The resulting model is applicable for front-end predictions of construction duration. Originality/value: The main parties involved in the building projects should apply the model for benchmarking a precise construction time during the early planning phase.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | bromilow time-cost principle; regression analysis; time prediction model |
| Index terms: | construction time, gross floor area, regression analysis, regression model, construction scheduling, project scope, public building, duration, multiple-regression, investigation, time prediction, prediction model, methodology, benchmarking, replacement, Ethiopia |
| Subjects: | project controls, data collection methods, materials science, Geography, statistical analysis, construction type, operations research, building performance, research methods, prediction and forecasting, scope management, performance measurement |
| Topics: | Geographical Context, Design Practice, Research Practice, Quality Management, Project Management, Construction Technology, Time Control, Engineering Principles |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here