Integrating GIS and Optimization Techniques for Effective Demolition Waste Management

Volume Title: ICASGE2025
Paper ID : 1094-ICASGE-FULL (R1)
Authors
1Structural Engineering Department, Faculty of Engineering, Cairo University, Giza, Egypt
2Integrated Engineering Design Management Program, Faculty of Engineering, Cairo University
3Construction Engineering and Management (CEM)
Abstract
Egypt has witnessed substantial urban expansion and the enhancement of existing highways, resulting in a considerable increase in demolition waste. This type of waste constitutes about half of the total municipal waste, highlighting the need for efficient management to alleviate its negative impacts. This research presents a framework designed to automatically identify demolition waste locations and enhance resource allocation throughout the demolition process. The framework comprises three key components: the GIS module, the optimization module, and the decision-making module. The GIS module utilizes ArcGIS Pro software to assess the volume of demolition waste in the targeted area by classifying a raster image and automatically identifying buildings marked for demolition based on their proximity to planned highway expansions. The optimization module focuses on determining the nearly optimal mix of resources needed for demolition and waste transportation, including labor crews, excavators, and trucks. It uses multi-objective optimization through a non-dominated sorting genetic algorithm (NSGA-II), targeting three main goals: minimizing time, cost, and energy consumption. From this module, a Pareto front is created to display near-optimal solutions. Finally, the decision-making module ranks these Pareto front solutions by employing the Entropy Weight Method (EWM) to assign weights to the three criteria, followed by the application of the TOPSIS technique to normalize, rank, and select the best solution. The effectiveness of the proposed framework is illustrated through a real-world case study on the expansion of the ring road project in Cairo.
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