The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-4/W2-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W2-2021, 97–102, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W2-2021-97-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W2-2021, 97–102, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W2-2021-97-2021

  19 Aug 2021

19 Aug 2021

CIUDAD LIMPIA VALDIVIA: A MOBILE AND WEB BASED SMART SOLUTION BASED ON FOSS TECHNOLOGY TO SUPPORT MUNICIPAL AND HOUSEHOLD WASTE COLLECTION

D. V. Lühr Sierra1, M. Balinos2, J. Gatica3, and C. Lagomarsino4 D. V. Lühr Sierra et al.
  • 1Institute of Electricity and Electronics, Facultad de Ciencias de la Ingeniería, Universidad Austral de Chile, Chile
  • 2Independent researcher
  • 3Independent developer
  • 4Institute of Earth Sciences, Facultad de Ciencias, Universidad Austral de Chile, Chile

Keywords: Web app, Mobile app, Waste collection, Waste management system, Smart city, Circular economy, Community participation, Free and Open Source Software

Abstract. Ciudad Limpia Valdivia is a Web and Mobile application which attempts to tackle some of the Municipality of Valdivia in Chile’s waste collection issues. It is based on Free and Open Source Software and it is currently in the last stage of prototyping. The tool is expected to improve the communication between the users and the service provider. It also has educational materials about waste management and other related environmental issues to guide the users to minimize the waste production and optimize the way it is handled before it is collected. The main features of the solution are: a dynamic map viewer showing the position of the Municipality’s waste collection trucks and estimated future trajectories, a form to report illegal dumping microsites, notifications from the Municipality about the status of the service, educational content and contact list of other independent initiatives related to waste collection. The potential impact of the tool was evaluated on the city’s test pilot sector by means of a neighbourhood survey. It showed that the solution might have a positive impact in the coordination in terms of the service operation. The estimation of the trucks’ future trajectory will be developed using machine learning or computational intelligence algorithms. The integration of FOSS technologies has been essential to address challenges found during development as well as to adapt the tool to new scenarios. The feedback from the Municipality and the community has proved to be very important to define a concrete solution.