@ARTICLE{10.21494/ISTE.OP.2022.0902, 

TITLE={Simulation software to improve post-hurricane waste collection}, 
  
AUTHOR={Anne Ruas, Serge Lhomme, Quy Thy Truong, }, 
	
JOURNAL={Urban Risks}, 
	
VOLUME={6}, 

NUMBER={Issue 1}, 
	
YEAR={2022}, 

URL={https://www.openscience.fr/Simulation-software-to-improve-post-hurricane-waste-collection}, 
	
DOI={10.21494/ISTE.OP.2022.0902}, 
	
ISSN={2516-1857}, 
	
ABSTRACT={Hurricanes are a major natural hazard and a real threat to certain populations and territories. In this paper we present the principles and results of an open source software that allows to simulate damage based on statistics from Hurricane Irma (2017) and to simulate different waste collection scenarios. After the analysis of the waste collection on the island of Saint Martin after Irma, we reproduced the collection process in two stages, then we enriched the method to apply it to larger territories, containing more treatment and storage sites such as Guadeloupe or Martinique. The proposed method makes it possible to estimate collection times and the distance traveled according to the severity of the event, the number and location of temporary storage areas and treatment and storage sites, but also according to the means (in trucks) and the organization of waste collection in collection basins. The software can be used before any event, in anticipation, to optimize the means of collection or just after an event from the moment damaged areas or buildings are identified by remote sensing, which is more and more often the case. It should be noted that one of the challenges is not only to reduce collection time, but if possible to set up sorting, at least for electrical and electronic equipment, to transform waste into resources in a context of resource re-use and transport reduction. Surveys and simulation experiments also reveal that the waste loading-unloading time is very important, which could guide the choice of equipment at community level to speed up the return to normal.}}