Rising urbanization rates, the pressure on raw materials and the unsustainable Construction and Demolition Waste (CDW) sites have become more pronounced. In response to this growing concern, there is a notable shift towards establishing waste sites that embrace sustainable practices, with a particular focus on sorting, recycling, and reusing. The unregulated sorting and recycling of CDW have emerged as significant contributors to environmental problems within urban settings. This research tackles this challenge by introducing a scientific method to identify suitable sites for processing CDW waste. The approach involves evaluating nine physical, environmental, accessibility, and socio-economic parameters. These parameters are interconnected to derive Multi-Influencing Factor (MIF) weights, which play a crucial role in assessing the sustainability of potential sites. The integration of MIF weights into a Geographic Information System (GIS) enables a weighted overlay evaluation. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is then applied for assigning ranks using suitability index. The research findings suggest that areas with a suitability index ranging from 234.70 to 479.59 are deemed optimal for the sorting and recycling of CDW. The sensitivity analysis shows the drainage density, elevation, and slope are the dominant criteria for optimal CDW disposal site selection. This proposed methodology represents a more precise solution to the challenges associated with construction and demolition waste disposal, especially in situations characterized by high uncertainty. By providing a systematic and informed approach, this research empowers policymakers and administrators to make well-founded decisions for future planning and strategies in waste management.