Status : Verified
| Personal Name | Vinluan, Kervin Paul R. |
|---|---|
| Resource Title | The future of Makati City's Solid Waste Management System using Artificial Intelligence: a technology foresight through scenario building |
| Date Issued | 30 March 2025 |
| Abstract | Makati City needs to explore new ways to keep up with up with the increasing solid wastes due to the rising population and economic activities. One of the promising technologies that can be applied in the improvement of its solid waste management system (SWMS) is Artificial Intelligence (AI). This can be used to analyze huge volume of real-time data using high-performing computers programmed to function like humans to solve modern-day problems. This study aimed to identify various AI implementations on Solid Waste Management and determine which among these are most applicable to Makati City using the Political, Economic, Social, Technological, Legal, Environmental (PESTLE) and Strength, Weaknesses, Opportunities, Threats (SWOT) analyses. Using the technology foresight through scenario building, this study has identified three plausible scenarios coming from the implementation of AI in Makati City’s SWMS. The first scenario is City as Smart as Singapore where Makati City was foreseen to have improved its SWMS (i.e., garbage segregation, recycling, collection, and transportation) using various AI implementation such as automated waste segregator, smart bins, and transport route optimizer. This scenario was assessed to be the most applicable for Makati City in its current state. The other two scenarios were Japan’s Discipline and Burn like Sweden that focused AI implementation in social shaping and incineration. However, both scenarios are not yet plausible for Makati City because of the uncertainty in the success of behavioral change using AI and with the dependency on passing of a law that will allow incineration in the Philippines. |
| Degree Course | Master of Technology Management |
| Language | English |
| Keyword | Technology foresight; Solid Waste Management; Scenario building; Artificial Intelligence; AI; Environment |
| Material Type | Thesis/Dissertation |
Preliminary Pages
78.22 Kb
Category : P - Author wishes to publish the work personally.
Access Permission : Limited Access