RISK IDENTIFICATION AND ASSESSMENT IN HOUSING DEVELOPMENT PROJECTS USING ANALYTICAL HIERARCHICAL PROCESS


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TABLE OF CONTENTS

Abstract
Table of Contents
Glossary of Abbreviations

CHAPTER ONE
1.0       INTRODUCTION
1.1       Background to the Study
1.2       Statement of the Problem
1.3       Significance of the Research
1.4       Aim and Objectives
1.5       Scope and limitations

CHAPTER TWO
LITERATURE REVIEW
2.1       The Concept of Risk
2.2       Definition of Risk
2.3       Risk and Uncertainty
2.4       Risk Attitude
2.5       Risk Management
2.5.1    Overview
2.5.2    Historical
2.5.3    Definition of Risk Management
2.6       Risk Management Process (RMP)
2.6.1    Institutional Perspective of Risk Management Framework
2.6.2 Risk Management Models
2.7       Risk Identification
2.7.1    Risk Identification Planning
2.7.2    Sources of Risk
2.7.3    Risk classification (grouping)
2.7.4    Risks Initial Structuring
2.8       Risk Assessment
2.8.2 Risk Analysis
2.8.3    Prioritization/Structuring of Risk
2.9 Risk Response
2.10     Risk Management as an Iterative Process
2.11     Housing Development Project Risk Identification and Assessment
2.11.1  The Housing Development Project Concept
2.11.2  Risk Identification Framework for Housing Project
2.11.3  Risk Identification Process
2.11.4  Risk Assessment in Housing Project
2.12     The Fuzzy-Based Analytical Hierarchical Process (AHP) Risk Assessment
2.12.1  The AHP Concept
2.13     Computer-based Analytical Hierarchy Process (AHP) Risk Assessment
2.13.1  The System

CHAPTER THREE
RESEARCH METHODS
3.1       Research Design
3.2       The Study Population and Sample
3.3       Sampling Design Method
3.4       The Sampling Size
3.5       Research Instrument
3.6       Data Collection
3.7       Data Analysis
3.7.1    Identification of risks data analysis
3.7.2    Assessment of risk data analysis

CHAPTER FOUR
DATA PRESENTATION, ANALYSI AND DISCUSSION
4.1       Data Presentation and Analysis
4.2       Results of the Risk Identification Survey
4.2.1    General information of the respondents
4.2.2    Relevance of Potential Risk Factors
4.2.3    Likelihood of Occurrence of the Risk Factors
4.2.4    Impact of the Risk Factors on Project
4.2.5    Initial Risk Severity Assessment
4.2.6    Review of Project Risk Structure
4.3       Results of the Risk Assessment Survey
4.3.1    General Information of the Assessment Team
4.3.2.   Priorities of Significant Risk Factors
4.4       Ranking of Risk Factors
4.4.1    Macro-level risk factors
4.4.2    Micro-level risk factors
4.5       Discussion on the results of the study

CHAPTER FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
5.1       Summary of Findings
5.2       Conclusions
5.3       Recommendations
5.4       Major Contribution to Knowledge
REFERENCES
APPENDIX



CHAPTER ONE



1.0              INTRODUCTION

1.1              Background to the Study

The Construction industry in Nigeria, although generally accepted as very active, is relatively small contributing only about 1.8% to 3% to the Nigeria‟s Gross Domestic Product (NBS, 2013). The industry provides employment opportunity to teeming millions of the country‟s workforce and produce wide variety of products ranging from housing; public facilities such as hospitals, schools, offices and other institutional buildings etc. in addition to other infrastructural, industrial and engineering fabrications. Massive demand for buildings and housing, in particular, across all sectors of the economy and the refocusing by the government on infrastructural development are some of the factors attributed to the growth in the construction and property sector. In recent years, there has been an increasing emphasis on the housing subsector by different tiers of government to ensuring adequate provision of decent houses to the teeming population, yet the adequate provision of this basic need is becoming more challenging to the construction industry. It is estimated that Nigeria‟s housing deficit falls around 18-20million Housing Units (HU) with the Federal Capital Territory, Abuja, alone having close to 3 million HU deficits (FMLHUD, 2006). The reaction of the construction industry to this finding is of mix feeling. The industry view it as an opportunity for a brighter feature for, at least, the housing subsector and also as a challenge for the industry to brace up, by equipping itself, for the handling of not only this present demand but also feature demands for more houses in the country.

The housing subsector accounts for virtually 30-40% of the construction industry‟s performance at the moment. However, studies on the performance of the industry have continued to point to the negative in terms of general performance of the industry(Odusamiet al., 2010; Dantata....

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