Modelling Building Construction Duration in Nigeria

Modelling Building Construction Duration in Nigeria

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Reference ID: PS-4219-TM

DEDICATION

This research material titled “Modelling Building Construction Duration in Nigeria” is dedicated to God for his enabling grace, and to all computer enthusiasts who contributed to make life a pleasant experience during my research documentation.

ACKNOWLEDGEMENT

I extend my sincere gratitude to all those who contributed to the completion of this project. Special thanks to my Supervisor (Name of your Supervisor), the Head of Department (Name of your HOD), the Lecturers in the department of Quantity Surveying (QS), Book Authors and Profound Scholars of existing or related project material on “Modelling Building Construction Duration in Nigeria” for their invaluable guidance, support, and expertise throughout the journey.

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TABLE OF CONTENTS

PRELIMINARY PAGES

CHAPTER ONE

INTRODUCTION

    CHAPTER TWO

    LITERATURE REVIEW

    • 2.1 Introduction
    • 2.2 Conceptual Review
    • 2.3 Theoretical Framework
    • ⋮
    • 2.4 Empirical Studies

    CHAPTER THREE

    RESEARCH METHODOLOGY

    • 3.1 Introduction
    • 3.2 Research Design
    • 3.3 Population of Study
    • 3.4 Sampling and Sampling Technique
    • 3.5 Validation of Research Instrument
    • 3.6 Method of Data Collection
    • 3.7 Method of Data Analysis
    • 3.8 Questionnaire Administration
    • 3.9 Ethical Consideration
    • 3.10 Statistical Analysis

    CHAPTER FOUR

    DATA ANALYSIS, RESULT AND DISCUSSION

    • 4.1 Introduction
    • 4.2 Presentation and Analysis of Data
    • 4.3 Re-statement of Research Questions
    • 4.4 Test of Hypotheses
    • 4.5 Discussion of Findings

    CHAPTER FIVE

    SUMMARY, CONCLUSION AND RECOMMENDATION

    • 5.1 Introduction
    • 5.2 Summary of Findings
    • 5.3 Conclusion
    • 5.4 Recommendation
    • 5.5 Suggestion for Further Study

    REFERENCES

    APPENDIX A - “QUESTIONNAIRE”

    ABSTRACT

    Following widespread acceptance by researchers that the effects of qualitative/managerial construction time-influencing factors need to be considered in project scope-based construction time predicting models, several multivariate models combining project scope and qualitative/managerial factors have been developed. However, it has been shown in literature that the applicability of these models is clearly limited to the regions/countries where they were developed. This study was therefore aimed at developing a multivariate construction time predicting model that will be applicable to the Nigeria construction industry. A self-administered questionnaire survey was used to source information on the quantitative (project scope) factors considered in the study as well as to assess the extent of influence of the qualitative factors on construction time.

    Principal component regression was used for the data analysis and model development, using SPSS 16.0 for windows. Following a non-normal distribution of errors and a low R2 value obtained when multiple linear regression analysis was first conducted, the study's data set was double log transformed and then partitioned / reclassified to account for public and private sector projects. Three models were developed following the multiple linear regression analysis repeated after transforming and partitioning/reclassifying the study's data set. Two of these models (the public sector model and the private sector model) had high R2 values and were found after testing and validation, to be suitable for predicting construction time, while one of the models (the all projects model) had a low R2 value and was consequently found to be unsuitable for predicting construction time. The models with high R2 values serve as a useful tool to project managers and contractors for predicting construction time, thereby facilitating effective planning.

    Modelling Building Construction Duration in Nigeria

    CHAPTER ONE

    1.0 Introduction

    1.1 Background to the study

    The importance of ensuring accuracy and reliability of construction time estimates at the tendering stage cannot be overemphasized. Accurate early estimates of construction time typically provides clients and contractors with a basis for evaluating the success of a project and the efficiency of the project organisation (Nkado, 1995). They also provide them with a basis for ascertaining logistical and cash flow implications for feasibility, budgeting, planning, monitoring and even litigation purposes (Skitmore and Ng, 2003). Furthermore, they serve as a criteria in determining the best combination when performing time-cost optimization (Que, 2002). It is therefore clear that construction time has become a vital tool used by clients and contractors to ensure the success of construction projects. This success will however, only be achieved when construction time is accurately predicted.

    Construction time/periods are often calculated on the basis of the planner's own previous experience on similar projects (Choudhury and Phatak, 2004). However, as pointed out by Skitmore and Ng (2003), the need to reduce the problem of subjectivity associated with the planner's experience and judgement to correctly interpret project and site information and make the best possible decisions, has long resulted in the development of construction time predicting models.

    The development of construction time predicting models commenced with the use of project scope factors. Project scope is a measure of project size, which can be described as construction cost, project duration, gross floor area, number of storey, building type and procurement method (Walker, 1995).

    …

    CHAPTER TWO

    2.0 Literature Review

    2.1 Introduction

    This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the …

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