The impact of depot location, fleet composition and routing on emissions in city logistics
The impact of depot location, fleet composition and routing on emissions in city logistics
This paper investigates the combined impact of depot location, fleet composition and routing decisions on vehicle emissions in city logistics. We consider a city in which goods need to be delivered from a depot to customers located in nested zones characterized by different speed limits. The objective is to minimize the total depot, vehicle and routing cost, where the latter can be defined with respect to the cost of fuel consumption and CO$_2$ emissions. A new powerful adaptive large neighborhood search metaheuristic is developed and successfully applied to a large pool of new benchmark instances. Extensive analyses are performed to empirically assess the effect of various problem parameters, such as depot cost and location, customer distribution and heterogeneous vehicles on key performance indicators, including fuel consumption, emissions and operational costs. Several managerial insights are presented.
location-routing, fuel consumption, CO2 emissions, heterogeneous fleet, city logistics, adaptive large neighborhood search metaheuristic
81-102
Koc, C.
0580305f-af8c-49fa-b6a8-832f951c9e85
Bektas, T.
0db10084-e51c-41e5-a3c6-417e0d08dac9
Jabali, O.
7a91105c-3ff6-4a2c-bb86-0b5739af4faa
Laporte, G.
2cd560e2-79a4-4ee7-b883-ec02bc880328
February 2016
Koc, C.
0580305f-af8c-49fa-b6a8-832f951c9e85
Bektas, T.
0db10084-e51c-41e5-a3c6-417e0d08dac9
Jabali, O.
7a91105c-3ff6-4a2c-bb86-0b5739af4faa
Laporte, G.
2cd560e2-79a4-4ee7-b883-ec02bc880328
Koc, C., Bektas, T., Jabali, O. and Laporte, G.
(2016)
The impact of depot location, fleet composition and routing on emissions in city logistics.
Transportation Research Part B: Methodological, 84, .
(doi:10.1016/j.trb.2015.12.010).
Abstract
This paper investigates the combined impact of depot location, fleet composition and routing decisions on vehicle emissions in city logistics. We consider a city in which goods need to be delivered from a depot to customers located in nested zones characterized by different speed limits. The objective is to minimize the total depot, vehicle and routing cost, where the latter can be defined with respect to the cost of fuel consumption and CO$_2$ emissions. A new powerful adaptive large neighborhood search metaheuristic is developed and successfully applied to a large pool of new benchmark instances. Extensive analyses are performed to empirically assess the effect of various problem parameters, such as depot cost and location, customer distribution and heterogeneous vehicles on key performance indicators, including fuel consumption, emissions and operational costs. Several managerial insights are presented.
Text
Paper5.pdf
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More information
Accepted/In Press date: 16 December 2015
e-pub ahead of print date: 8 January 2016
Published date: February 2016
Keywords:
location-routing, fuel consumption, CO2 emissions, heterogeneous fleet, city logistics, adaptive large neighborhood search metaheuristic
Organisations:
Centre of Excellence in Decision, Analytics & Risk Research
Identifiers
Local EPrints ID: 385178
URI: http://eprints.soton.ac.uk/id/eprint/385178
ISSN: 0191-2615
PURE UUID: b8243e6d-a47e-4e3b-8d11-40c1be10bbb3
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Date deposited: 18 Jan 2016 11:09
Last modified: 15 Mar 2024 05:22
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Contributors
Author:
C. Koc
Author:
T. Bektas
Author:
O. Jabali
Author:
G. Laporte
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