Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals

Hannan, MA; Begum, RA; Al-Shetwi, AQ; Ker, PJ; Al Mamun, MA; Hussain, A; Basri, H; Mahlia, TMI

Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals

Hannan, MA Begum, RA Al-Shetwi, AQ Ker, PJ Al Mamun, MA Hussain, A Basri, H Mahlia, TMI

Permalink

Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Sustainable Cities and Society, 2020, 62, pp. 102393-102393
Issue Date:: 2020-11-01

Closed Access

	Filename	Description	Size
	article 244.pdf		2.99 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Hannan, MA
dc.contributor.author	Begum, RA
dc.contributor.author	Al-Shetwi, AQ
dc.contributor.author	Ker, PJ
dc.contributor.author	Al Mamun, MA
dc.contributor.author	Hussain, A
dc.contributor.author	Basri, H
dc.contributor.author	Mahlia, TMI
dc.date.accessioned	2020-08-03T00:00:35Z
dc.date.available	2020-08-03T00:00:35Z
dc.date.issued	2020-11-01
dc.identifier.citation	Sustainable Cities and Society, 2020, 62, pp. 102393-102393
dc.identifier.issn	2210-6707
dc.identifier.uri	http://hdl.handle.net/10453/141955
dc.description.abstract	© 2020 Elsevier Ltd Developing an efficient, cost-effective and environmentally friendly solution for solid waste collection (SWC) and transportation system remains a major challenge for municipalities. Waste collection encompasses the largest part of the total budget in current waste management systems. SWC is a crosscutting issue that can be directly or indirectly linked to 10 of the 17 United Nations’ sustainable development goals (SDGs). This study aims to develop an SWC route optimisation model to improve collection efficiency, save collection costs and reduce emissions by considering fixed routing optimisation (FRO) with static data and variable routing optimisation (VRO) with real-time data. To realise the optimisation, a mixed-integer linear programming model utilising FRO and VRO was developed. Results show that VRO improved the collection efficiency by 26.08 % when the minimum filled-up level for collection was 70 %. Moreover, VRO achieved 44.44 % cost savings and 17.60 % carbon emission reduction at 70 % filled level. The proposed system achieved the targeted goals and demonstrated the feasibility of an optimisation model for the waste management sector to build a sustainable smart city. The findings of this study can be used to strengthen efforts towards the achievement of the SDGs related to solid waste collection and management.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Sustainable Cities and Society
dc.relation.isbasedon	10.1016/j.scs.2020.102393
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0502 Environmental Science and Management, 1205 Urban and Regional Planning
dc.title	Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals
dc.type	Journal Article
utslib.citation.volume	62
utslib.for	0502 Environmental Science and Management
utslib.for	1205 Urban and Regional Planning
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-08-03T00:00:32Z
pubs.publication-status	Accepted
pubs.volume	62

Abstract:

© 2020 Elsevier Ltd Developing an efficient, cost-effective and environmentally friendly solution for solid waste collection (SWC) and transportation system remains a major challenge for municipalities. Waste collection encompasses the largest part of the total budget in current waste management systems. SWC is a crosscutting issue that can be directly or indirectly linked to 10 of the 17 United Nations’ sustainable development goals (SDGs). This study aims to develop an SWC route optimisation model to improve collection efficiency, save collection costs and reduce emissions by considering fixed routing optimisation (FRO) with static data and variable routing optimisation (VRO) with real-time data. To realise the optimisation, a mixed-integer linear programming model utilising FRO and VRO was developed. Results show that VRO improved the collection efficiency by 26.08 % when the minimum filled-up level for collection was 70 %. Moreover, VRO achieved 44.44 % cost savings and 17.60 % carbon emission reduction at 70 % filled level. The proposed system achieved the targeted goals and demonstrated the feasibility of an optimisation model for the waste management sector to build a sustainable smart city. The findings of this study can be used to strengthen efforts towards the achievement of the SDGs related to solid waste collection and management.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/141955