Optimization of recycling bin placement using OpenStreetMap data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F25%3A00384029" target="_blank" >RIV/68407700:21260/25:00384029 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11037695" target="_blank" >https://ieeexplore.ieee.org/document/11037695</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP65598.2025.11037695" target="_blank" >10.1109/SCSP65598.2025.11037695</a>
Alternative languages
Result language
angličtina
Original language name
Optimization of recycling bin placement using OpenStreetMap data
Original language description
This study presents an optimization approach for improving the placement of recycling bins in the town of Plasy using a graph-theoretic model. The problem is formulated as a p-median facility location problem, using OpenStreetMap data to analyze urban infrastructure. Two optimization criteria are considered: the first minimizes the total distance from residential buildings to the nearest recycling bin, while the second incorporates population-weighted distances based on the number of apartments per building. Several variants are evaluated, ranging from redistributing existing bins to adding new collection points. The results demonstrate that optimized placement can reduce average walking distances by up to 18% without excessive infrastructure expansion. The findings provide a cost-effective methodology for municipalities seeking to enhance waste collection accessibility while balancing operational efficiency and infrastructure investments.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
21100 - Other engineering and technologies
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 Smart City Symposium Prague - IEEE proceedings
ISBN
979-8-3315-2551-4
ISSN
2831-5618
e-ISSN
2691-3666
Number of pages
6
Pages from-to
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Publisher name
IEEE Press
Place of publication
New York
Event location
Prague
Event date
May 29, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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