Title: Big Data GIS Analytics towards Efficient Waste Management in Stockholm
Authors: Shahrokni, Hossein ×
van der Heijde, Bram
Lazarevic, David
Brandt, Nils #
Issue Date: Jul-2014
Publisher: Atlantis Press
Host Document: Proceedings of the 2014 conference ICT for Sustainability pages:140-147
Series Title: ACSR: Advances in Computer Science Research
Conference: ICT for Sustainability (ICT4S) edition:2 location:Stockholm date:24-27 August 2014
Abstract: This paper presents preliminary findings from a big data analysis and GIS to identify the efficiency of waste management and transportation in the City of Stockholm. The aim of this paper is to identify inefficiencies in waste collection routes in the city of Stockholm, and to suggest potential improvements. Based on a large data set consisting of roughly half a million entries of waste fractions, weights, and locations, a series of new waste generation maps was developed. This was the outcome of an extensive data curation process, followed by batch geocoding of the curated entries. Thereafter, the maps were generated that describe what waste fraction comes from where and how it is collected. Finally, a preliminary analysis of the route efficiency was conducted. Maps of selected vehicle routes were constructed in detail and the efficiencies of the routes for the first half of July 2013 were assessed using the efficiency index (kg waste/km). It is concluded that substantial inefficiencies were revealed, and a number of intervention measures are discussed to increase the efficiency of waste management, including a shared waste collection vehicle fleet.
Publication status: published
KU Leuven publication type: AC
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

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