Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published online January 1, 2014

Reducing Carbon Emissions with Multitrip Vehicle Mode

Abstract

This study was based on the global demand for low-carbon development. The multitrip vehicle mode is a promising approach to reduce carbon emissions in the vehicle routing problem (VRP). It was hypothesized that emission reductions might be achieved by replacing the single-trip vehicle mode with a multitrip mode. To evaluate the carbon emissions reduction potential of the multitrip mode accurately over the single-trip mode, the set-partitioning formulation was used to obtain the optimal single-trip solution VRP with the minimal carbon emissions and to construct a trip-chain-oriented set-partitioning formulation to obtain the optimal multitrip solution VRP with minimal carbon emissions. The two set-partitioning formulations could be exactly solved by CPLEX. Through a comparison of the single-trip and multitrip carbon emissions for picking up and delivering customers to an airport service, which was a special case of the VRP, it can be concluded that the multitrip mode could reduce carbon emissions by approximately 16%. To identify the situations under which carbon emissions could be efficiently reduced by replacing the single-trip mode with the multitrip mode, the influence factors were analyzed. On the basis of experimental results, a summary is provided of several managerial insights that can be used to reduce carbon emissions successfully by implementing the multitrip mode.

Get full access to this article

View all access and purchase options for this article.

References

1. Major Issues in Transport: Transport and Environment. United Nations Economic and Social Council, New York, 2009.
2. Faris W. F., Rakha H. A., and Kafafy R. I. Vehicle Fuel Consumption and Emission Modelling: An In-Depth Literature Review. International Journal of Vehicle Systems Modelling and Testing, Vol. 6, No. 3-4, 2011, pp. 318–395.
3. Whitefoot K. S., and Skerlos S. J. Design Incentives to Increase Vehicle Size Created from the U.S. Footprint-Based Fuel Economy Standards. Energy Policy, Vol. 41, 2012, pp. 402–411.
4. Adamou A., Clerides S., and Zachariadis T. Trade-Offs in CO2-Oriented Vehicle Tax Reforms: A Case Study of Greece. Transportation Research Part D, Vol. 17, No. 6, 2012, pp. 451–456.
5. Geurs K., Nijland H., and van Ruijven B. J. Getting into the Right Lane for Low-Carbon Transport in the EU. Transportation Research, Economics and Policy, Vol. 11, 2011, pp. 53–72.
6. Yao M., Liu H., and Feng X. The Development of Low-Carbon Vehicles in China. Energy Policy, Vol. 39, No. 9, 2011, pp. 5457–5464.
7. Miguel F. Vehicle Routing Problem for Emissions Minimization. In Transportation Research Record: Journal of the Transportation Research Board, No. 2197, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 1–7.
8. Pollet B. G., Staffell I., and Shang J. L. Current Status of Hybrid, Battery and Fuel Cell Electric Vehicles: From Electrochemistry to Market Prospects. Electrochimica Acta, Vol. 84, No. 1, 2012, pp. 235–249.
9. af Wåhlberg A. E. Long-Term Effects of Training in Economical Driving Fuel Consumption, Accidents, Driver Acceleration Behavior and Technical Feedback. International Journal of Industrial Ergonomics, Vol. 37, No. 4, 2007, pp. 333–343.
10. Cousins S. H., Bueno J. G., and Coronado O. P. Powering or De-Powering Future Vehicles to Reach Low Carbon Outcomes: The Long Term View 1930–2020. Journal of Cleaner Production, Vol. 15, No. 11-12, 2007, pp. 1022–1031.
11. Yeh S. An Empirical Analysis on the Adoption of Alternative Fuel Vehicles: The Case of Natural Gas Vehicles. Energy Policy, Vol. 35, No. 11, 2007, pp. 5865–5875.
12. Leighty W., Ogden J. M., and Yang C. Modeling Transitions in the California Light-Duty Vehicles Sector to Achieve Deep Reductions in Transportation Greenhouse Gas Emissions. Energy Policy, Vol. 44, 2012, pp. 52–67.
13. Xiao Y. Y., Zhao Q. H., Kaku I., and Xu Y. Development of a Fuel Consumption Optimization Model for the Capacitated Vehicle Routing Problem. Computers and Operations Research, Vol. 39, No. 7, 2012, pp. 1419–1431.
14. Barth M., and Boriboonsomsin K. Energy and Emissions Impacts of a Freeway-Based Dynamic Eco-Driving System. Transportation Research Part D, Vol. 14, No. 6, 2009, pp. 400–410.
15. Bektaş T., and Laporte G. The Pollution-Routing Problem. Transportation Research Part B, Vol. 45, No. 8, 2011, pp. 1232–1250.
16. Balinski M., and Quandt R. On an Integer Program for a Delivery Problem. Operations Research, Vol. 12, No. 2, 1964, pp. 300–304.
17. Tang J. F., Kong Y., Lau H., and Andrew I. A Note on Efficient Feasibility Testing for Dial-a-Ride Problems. Operations Research Letter, Vol. 38, No. 5, 2010, pp. 405–407.
18. Tang J. F., Dong G., Pan Z. D., and Kong Y. Multi-Objective Model and Algorithm of Free Pickup Customer and Delivery to Airport Service. Journal of Management Sciences in China, Vol. 11, No. 6, 2008, pp. 35–42.
19. Dong G., Tang J. F., Kong Y., and Zhang J. Minimizing Costs Model and Algorithm of Free Pickup and Delivery Customers to Airport Service. Chinese Journal of Systems Engineering, Vol. 23, No. 4, 2008, pp. 437–443.
20. Dong G., Tang J. F., Lai K., and Kong Y. An Exact Algorithm for Vehicle Routing and Scheduling Problem of Free Pickup and Delivery Service in Flight Ticket Sales Companies Based on Set-Partitioning Model. Journal of Intelligent Manufacturing, Vol. 22, No. 5, 2011, pp. 789–799.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published online: January 1, 2014
Issue published: January 2014

Rights and permissions

© 2014 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Yang Yu
Institute of Systems Engineering, State Key Laboratory of Synthetic Automation for Process Industries, Northeastern University, No. 3–11, Wenhua Road, Heping District, Shenyang 110819, China.
Jiafu Tang
College of Management Science and Engineering, Dongbei University of Finance and Economics, No. 217 Jianshan Street, Shahekou District, Dalian 116025, China.
Yu Zhang
Institute of Systems Engineering, State Key Laboratory of Synthetic Automation for Process Industries, Northeastern University, No. 3–11, Wenhua Road, Heping District, Shenyang 110819, China.
Peiying Yang
Research Institute of Civil Aviation Development, China Academy of Civil Aviation Science and Technology, No. 31 Qishen Road, Chaoyang District, Beijing 100028, China.
Jia Li
China Mobile Group, No. 6 Xinlong Street, Hunnan New District, Shenyang 110179, China.

Notes

Metrics and citations

Metrics

Journals metrics

This article was published in Transportation Research Record: Journal of the Transportation Research Board.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 30

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 4

  1. Heterogeneous vehicle pickup and delivery problems: Formulation and ex...
    Go to citation Crossref Google Scholar
  2. Compensation and profit distribution for cooperative green pickup and ...
    Go to citation Crossref Google Scholar
  3. An exact decomposition method to save trips in cooperative pickup and ...
    Go to citation Crossref Google Scholar
  4. Reducing carbon emission of pickup and delivery using integrated sched...
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.

View options

PDF/ePub

View PDF/ePub