Optimization of recycling bin placement using OpenStreetMap data

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimization of recycling bin placement using OpenStreetMap data

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Optimization of recycling bin placement using OpenStreetMap data

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

21100 - Other engineering and technologies

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 Smart City Symposium Prague - IEEE proceedings

ISBN

979-8-3315-2551-4

ISSN

2831-5618

e-ISSN

2691-3666

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

IEEE Press

Místo vydání

New York

Místo konání akce

Prague

Datum konání akce

29. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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