Managing Building Deterioration: Prediction Model for Public Schools in Developing Countries (Management in the Built Environment)

✍ Scribed by Syamilah Yacob, Azlan Shah Ali, Cheong Peng Au-Yong

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 218
• Category: Library

✦ Synopsis

This book presents the results of a novel investigation into building deterioration and defects in Malaysia’s public schools. It sets forth an in-depth theoretical and empirical underpinning the maintenance management of public schools with the view to develop a building deterioration prediction model of building condition based on factors contributing to building defects for school buildings. The approach adopted is mixed method encompassing archived documentation, questionnaire survey and interview of sampled schools in Malaysia. It presents a number of useful tables, graphs and statistical analysis which are useful in understanding the factors contributing to building defects under reference. The prediction model assists the decision making of maintenance management to be more efficient with comprehensive budgeting as well as optimal maintenance and repair work. The book is of relevance to school managers, maintenance management practitioners and academics towards measuring and improving the building condition in schools.

✦ Table of Contents

Summary
Contents
Abbreviations
List of Figures
List of Tables
1 Introduction
1.1 Background
1.2 Problem Statement
1.3 Research Questions
1.4 Research Aims and Objectives
1.5 Rationale of the Study
1.6 The Area for Development
1.7 The Significant of the Study
1.8 Limitation and Scope of Study
1.9 Organization of Chapters
References
2 An Overview and Understanding the Building Deterioration
2.1 Introduction
2.2 Overview on Defects and Maintenance Management
2.3 Building Stock in Malaysia
2.4 School Buildings in Malaysia
2.4.1 Malaysian National Educational Systems
2.4.2 Categories of Educational Institutions
2.4.3 Conditions and Performance of School Buildings
2.5 Types of Building Defects
2.6 Common Building Defects and Possible Causes
2.6.1 Defects in Buildings
2.7 Impact of Building Defects
References
3 Factors Contributing to Building Defects
3.1 Introduction
3.2 Defect Factors
3.3 Technical Factor
3.3.1 Faulty Design
3.3.2 Poor Detailing
3.3.3 Faulty Drawing
3.3.4 Not Complying with Specification
3.3.5 Structural
3.3.6 Poor Waterproofing
3.3.7 Improper Use of Material
3.3.8 Lack of Maintenance
3.3.9 Poor Construction
3.4 Environmental Factor
3.4.1 Insect Attack
3.4.2 Biological Agent Attack
3.4.3 Changes of Climatic Condition
3.4.4 Poor Ventilation
3.4.5 Reaction of Thermal Agent
3.4.6 Excessive Moisture
3.4.7 Reaction of Chemical Agent
3.4.8 Soil Movement Impact
3.5 Human Factor
3.5.1 Misuse by User
3.5.2 Vandalism
3.5.3 Wear and Tear
3.5.4 Change of Usage
3.5.5 Poor Workmanship
3.5.6 Lack of Supervision
3.5.7 Lack of Knowledge
3.5.8 Poor Operation
3.5.9 Lack of Cleaning
3.6 Selection of Independent Variables
References
4 Building Condition Monitoring and Assessment
4.1 Introduction
4.2 Building Condition Assessment Techniques
4.3 Condition Assessment Systems
4.4 Building Condition Rating Scale
4.5 The Practice of Building Condition Assessment
4.5.1 Dutch Building Condition Assessment Standard
4.5.2 Queensland Building Condition Assessment Standard
4.5.3 The Current Practices Condition Assessment in Malaysia
4.6 Building Condition Maintenance Assessment System (BCMAS)
4.6.1 Scope of Work
4.6.2 Methodology
4.7 Building Condition Assessment Rating Systems (BCARS)
4.7.1 Standardization
4.7.2 Development of BCARS
4.7.3 Piloting
4.7.4 Improvement and Approval
4.7.5 Method of Assessment
4.8 Comparison Between BCMAS and BCARS
4.8.1 Building Hierarchy Information
4.8.2 Rating Scale, Representation and Inspection
4.8.3 BCMAS Rating and BCARS Rating
References
5 Research Methodology
5.1 Introduction
5.2 Methodology of Research
5.3 The Research Process
5.4 Determining the Research Questions
5.4.1 Initial Idea
5.4.2 Identifying the Problem Statement
5.5 Proposed of Mixed Method
5.6 Select Research Methodology
5.6.1 Research Approach—Triangulation Design
5.6.2 Population and Sampling
5.7 Data Collection
5.7.1 Quantitative Method
5.7.2 Qualitative Method—Archived Document and Semi-structured Interview
5.8 Analysis of Data
5.8.1 Quantitative Analysis
5.8.2 Normality Test
5.8.3 Reliability Analysis
5.8.4 Bi-Variate Analysis
5.8.5 Spearman Rank-Order Correlation Coefficient Technique
5.8.6 Regression Analysis
5.8.7 Qualitative Analysis
5.9 Data Interpretation
5.10 Legitimation/Validity and Reliability
5.11 Conclusion
References
6 Data Analysis and Research Findings
6.1 Introduction
6.2 Quantitative Analysis
6.2.1 Descriptive Analysis Result
6.3 Reliability
6.4 Correlation Analysis
6.4.1 To Establish a Significant Relationship Between Factors and Building Condition
6.4.2 To Establish a Significant Relationship Between Number of Defects and Building Condition
6.5 Regression Analysis
6.6 Qualitative Analysis
6.6.1 Content Analysis for Archived Documentation
6.6.2 Semi-structured Interview Findings
6.7 Discussion on Overall Findings
6.7.1 Validation of Ranking Analysis Results
6.7.2 Validation of Correlation Analysis Results
6.7.3 Validation of Theoretical Framework
References
7 Conclusion and Recommendation
7.1 Conclusion of the Study
7.1.1 Objective 1: To Identify the Factors Contributing Towards Building Defects
7.1.2 Objective 2: To Investigate the Condition of Public School Buildings Through Building Condition Assessment
7.1.3 Objective 3: To Establish Critical Factors Contributing Towards School Buildings Defects and Its’ Relationship to Building Condition
7.1.4 Objective 4: To Develop a Building Deterioration Prediction Model (BDPM) of the Building Condition
7.2 Contribution to Knowledge
7.3 Recommendations for Future Research
Appendix A Building Condition Assessment Checklist
Appendix B Total Sampling for Population of School
Appendix C Assessment of RII for Factors, Defects and Condition Rating
Appendix D Semi-structured Interview Information Sheet
Appendix E Reliability Analysis
Appendix F Logistic Regression Analysis