A multi-period model for reorganising urban household waste recycling networks
Managing waste is a crucial challenge for modern societies. Within the UK government's ambitious environmental targets, municipal Household Waste Recycling Centres represent key facilities. However, local authority budgets are under severe strain due to reductions in central government funding....
Published in: | Socio-Economic Planning Sciences |
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2022
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2-s2.0-85137673754 Zaharudin Z.A.; Brint A.; Genovese A. A multi-period model for reorganising urban household waste recycling networks 2022 Socio-Economic Planning Sciences 84 10.1016/j.seps.2022.101396 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137673754&doi=10.1016%2fj.seps.2022.101396&partnerID=40&md5=18feeeb4a3c8e5c6ddb380efe2c391d4 Managing waste is a crucial challenge for modern societies. Within the UK government's ambitious environmental targets, municipal Household Waste Recycling Centres represent key facilities. However, local authority budgets are under severe strain due to reductions in central government funding. Therefore, local councils often need to perform reconfigurations of the recycling centres networks, by reducing the number of sites or their opening hours while still ensuring adequate service levels. This paper describes a novel multi-period mathematical programming model for optimising reorganisational actions within Household Waste Recycling Centre networks. The model is tested on a case study based on an English local authority, in order to demonstrate its applicability to a real-world scenario, and its role in supporting decision-makers in deciding the best way to reorganise Household Waste Recycling Centres. © 2022 The Authors Elsevier Ltd 380121 English Article All Open Access; Hybrid Gold Open Access |
author |
Zaharudin Z.A.; Brint A.; Genovese A. |
spellingShingle |
Zaharudin Z.A.; Brint A.; Genovese A. A multi-period model for reorganising urban household waste recycling networks |
author_facet |
Zaharudin Z.A.; Brint A.; Genovese A. |
author_sort |
Zaharudin Z.A.; Brint A.; Genovese A. |
title |
A multi-period model for reorganising urban household waste recycling networks |
title_short |
A multi-period model for reorganising urban household waste recycling networks |
title_full |
A multi-period model for reorganising urban household waste recycling networks |
title_fullStr |
A multi-period model for reorganising urban household waste recycling networks |
title_full_unstemmed |
A multi-period model for reorganising urban household waste recycling networks |
title_sort |
A multi-period model for reorganising urban household waste recycling networks |
publishDate |
2022 |
container_title |
Socio-Economic Planning Sciences |
container_volume |
84 |
container_issue |
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doi_str_mv |
10.1016/j.seps.2022.101396 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137673754&doi=10.1016%2fj.seps.2022.101396&partnerID=40&md5=18feeeb4a3c8e5c6ddb380efe2c391d4 |
description |
Managing waste is a crucial challenge for modern societies. Within the UK government's ambitious environmental targets, municipal Household Waste Recycling Centres represent key facilities. However, local authority budgets are under severe strain due to reductions in central government funding. Therefore, local councils often need to perform reconfigurations of the recycling centres networks, by reducing the number of sites or their opening hours while still ensuring adequate service levels. This paper describes a novel multi-period mathematical programming model for optimising reorganisational actions within Household Waste Recycling Centre networks. The model is tested on a case study based on an English local authority, in order to demonstrate its applicability to a real-world scenario, and its role in supporting decision-makers in deciding the best way to reorganise Household Waste Recycling Centres. © 2022 The Authors |
publisher |
Elsevier Ltd |
issn |
380121 |
language |
English |
format |
Article |
accesstype |
All Open Access; Hybrid Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1812871798197321728 |