Carbon Footprint Management of Road Freight Transport under the Carbon Emission Trading Mechanism

Growing concern over environmental issues has considerably increased the number of regulations and legislation that aim to curb carbon emissions. Carbon emission trading mechanism, which is one of the most effective means, has been broadly adopted by several countries. This paper presents a road tru...

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Bibliographic Details
Published inMathematical problems in engineering Vol. 2015; no. 2015; pp. 1 - 13
Main Authors Li, Jin, Fu, Peihua, Lu, Qihui
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2015
Hindawi Limited
Subjects
Algorithms
Automobiles
Carbon
Carbon dioxide
Climate change
Cost engineering
Costs
Economic impact
Economics
Emissions control
Emissions trading
Environmental management
Freight transportation
Greenhouse gases
Integer programming
Legislation
Mathematical models
Optimization techniques
Roads
Route planning
Search algorithms
Studies
Supply chains
Tabu search
Traffic speed
Traveling salesman problem
Trucks
Vehicle routing
Vehicles
United States > US
China
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Summary:Growing concern over environmental issues has considerably increased the number of regulations and legislation that aim to curb carbon emissions. Carbon emission trading mechanism, which is one of the most effective means, has been broadly adopted by several countries. This paper presents a road truck routing problem under the carbon emission trading mechanism. By introducing a calculation method of carbon emissions that considers the load and speed of the vehicle among other factors, a road truck routing optimizing model under the cap and trade mechanism based on the Travelling Salesman Problem (TSP) is described. Compared with the classical TSP model that only considers the economic cost, this model suggests that the truck routing decision under the cap and trade mechanism is more effective in reducing carbon emissions. A modified tabu search algorithm is also proposed to obtain solutions within a reasonable amount of computation time. We theoretically and numerically examine the impacts of carbon trading, carbon cap, and carbon price on truck routing decision, carbon emissions, and total cost. From the results of numerical experiments, we derive interesting observations about how to control the total cost and reduce carbon emissions.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1024-123X
1563-5147
DOI:10.1155/2015/814527