Demands on the construction industry are changing, and it is now virtually essential for environmental management to be considered at all stages of a project. Many construction managers are finding a quantitative approach useful, and this book outlines four quantitative methods which can be applied at different construction stages, and which fit within a comprehensive framework of dynamic Environmental Impact Assessment (EIA). These include:
a method to quantitatively evaluate and reduce pollution and hazards levels
a method to evaluate the environmental-consciousness of proposed construction plans
a method to reduce on-site construction wastes through an incentive reward programme
a method to promote C and D waste exchange in the local construction industry.
With an experimental case study of the application of these methods, this book delivers a comprehensive review of environmental management issues in construction. With regulatory requirements potentially favouring the quantitative approach, this timely guide ensures that contractors will be able to keep pace with environmental management standards.
Zhen Chen is Research Fellow of the Innovative Design and Construction for People Project at the University of Reading. He is the author of more than 70 research publications and reports on construction engineering and management topics. His previous books include Intelligent Methods in Construction and Handbook of Building Construction. Heng Li is Professor in the Department of Building and Real Estate at Hong Kong Polytechnic University. He has published more than 100 papers and his previous books include Machine Learning of Design Concepts and Implementing IT to obtain a competitive advantage in the 21st Century. He is a review editor of the International Journal of Automation in Construction.
1. Introduction 2. E+: An Integrative Methodology 3. Quantitative Evaluation at Pre-Construction Stage 4. Quantitative Evaluation at Construction Stage 5. Quantitative Approaches at Post-Construction Stage 6. Knowledge-Driven Quantitative Evaluation