Architecting Digital-Green Synergy: AI-Driven Resource Optimization for Sustainable Urban Event Ecosystems
Architecting Digital-Green Synergy: AI-Driven Resource Optimization for Sustainable Urban Event Ecosystems
Authors:
Shukla Jaykumar Rashminbhai
(Research Scholar of School of Commerce and Management, Sabarmati University, Ahmedabad)
Under the Guidance of Prof (Dr.) Lalit Pipliwal
(School of Commerce and Management, Sabarmati University, Ahmedabad, Gujarat, India)
Abstract
As urban centers face escalating environmental pressures, the event industry's reliance on temporary, high-impact resource consumption is under scrutiny. This paper investigates the integration of Artificial Intelligence (AI) and Internet of Things (IoT) frameworks to optimize resource allocation in large-scale urban events. Moving beyond traditional manual management, we propose a "Smart-Green Model" that utilizes predictive analytics for waste reduction, energy efficiency, and logistics optimization. Based on a simulated pilot study of 250 event scenarios, results indicate a potential 30% reduction in carbon footprint. The study provides a strategic roadmap for municipal authorities and event planners to foster a technology-driven sustainable event ecosystem.
Keywords: Artificial Intelligence, Sustainable Events, Resource Optimization, IoT, Urban Ecology.