Applying A Spatial Information Approach and Community-based Sourcing for Smart Container Allocation in the Post-Pandemic Era

The COVID-19 pandemic has globally changed ways of living. People have had to accept and adapt to a "new normal", with lockdowns, working from home, using masks, and ATK. As a result, plastic and infectious waste production have drastically increased, which requires prompt and proper ways of management. In this paper, we apply spatial Information Technology and a community-based sourcing method to establish a framework and a web application for visualizing the positions of all types of waste containers in Saensuk, a tourist town. The study aims to optimize the allocation coverage of infectious waste containers and pickup routes. The experiment shows that 19 current infection waste containers cover only 27.69% of all area. The recommended number is 15 infection waste containers in a specified area which represents 68.73% of coverage.