Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published January 2007

Evaluating Air Quality Benefits of Freeway High-Occupancy Vehicle Lanes in Southern California

Abstract

In the past decade, a variety of questions have been raised concerning the effectiveness of high-occupancy vehicle (HOV) lanes. In Southern California, recent evaluation studies on HOV lanes confirm the effectiveness of HOV lanes in several ways. However, little research has been performed to evaluate the air quality benefits of HOV lanes. This paper describes a study that examines operational differences in traffic dynamics between HOV lanes and mixed-flow (MF) lanes and evaluates their impacts on vehicle emissions. Four general HOV lane scenarios were identified: underutilized, neutral, well utilized, and overutilized. Extensive driving trajectories in both lane types for each scenario were collected. Their speed profile and joint speed–acceleration frequency distribution were analyzed and compared. Vehicle emissions and fuel consumption were then estimated with a state-of-the-art modal emissions model. The results show that HOV lanes produce lower emission rates per vehicle per mile in most cases, except when they are underutilized. When normalized by average vehicle occupancy, HOV lanes produce much lower emission rates per the same amount of travel demand, on the order of 10% to 70%. In almost every case, HOV lanes produce less emissions mass on a per-lane basis than MF lanes. Southern California freeway lane performance matrices show that on a typical weekday during the summer of 2005, HOV lanes operated mostly under Scenarios 1 and 2 during peak periods. Overall, they were well utilized about 14% to 17% of the time. According to the emissions estimates, the HOV lanes are considered effective in reducing vehicle emissions.

Get full access to this article

View all access and purchase options for this article.

References

1. NCHRP Report 414: HOV Systems Manual. TRB, National Research Council, Washington, D.C., 1998.
2. PB Study Team. HOV Performance Program Evaluation Report. Los Angeles County Metropolitan Transportation Authority, Los Angeles, Calif., 2002.
3. Federal-Aid Highway Program Guidance on High Occupancy Vehicle (HOV) Lanes. FHWA, Washington, D.C., 2001. www.fhwa.dot.gov/operations/hovguide01.htm. Accessed Oct. 12, 2005.
4. 2004 Bay Area HOV Lanes: Volumes, Occupancies and Violation Rates for Freeway High Occupancy Vehicle Lanes in the San Francisco Bay Area. California Department of Transportation District 4, Oakland, 2005.
5. 2004 HOV Annual Report. California Department of Transportation District 7, Los Angeles, 2005.
6. Nee J. Ishimaru J. and Hallenbeck M. E. HOV Lane Performance Monitoring: 2002 Report Vol. 1. Report WA-RD 584.2. Washington State Department of Transportation, Olympia, Wash., June 2004.
7. Perrin J. Wu P. and Martin P. T. Evaluating HOV Lanes in Salt Lake City, Utah. Presented at 83rd Annual Meeting of Transportation Research Board, Washington, D.C., 2004.
8. Zilliacus P. Burke A. and Seifu M. 2004 Performance of Regional High-Occupancy Vehicle Facilities on Freeways in the Washington Region. Draft report, Metropolitan Washington Council of Governments, Washington, D.C., 2005.
9. Henderson D. State of the Practice in High-Occupancy Vehicle System Performance Monitoring. In Transportation Research Record: Journal of the Transportation Research Board, No. 1856, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 152–160.
10. HOV Lanes in California: Are They Achieving Their Goals? Legislative Report, California Legislative Analyst's Office, Sacramento, 2000.
11. Regional High-Occupancy Lane System Performance Study. Final Summary Report, Southern California Association of Governments, Los Angeles, Nov. 4, 2004.
12. Chen C. Varaiya P. and Kwon J. An Empirical Assessment of Traffic Operations. In Transportation and Traffic Theory: Flow Dynamics and Human Interaction. Proceedings of the 16th International Symposium on Transportation and Traffic Theory (Mahmassani H. S., ed.), College Park, Md., July 19–21, 2005, pp. 105–124.
13. Krimmer M. J. and Venigalla M. M. Measuring Impacts of High-Occupancy-Vehicle Lane Operations on Light-Duty-Vehicle Emissions: Experimental Study with Instrumented Vehicles. In Transportation Research Record: Journal of the Transportation Research Board, No. 1987, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 1–10.
14. Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 2000.
15. PeMS5.4. Freeway Performance Measurement System. pems.eecs.berkeley.edu/Public/index.phtml. Accessed Dec. 1, 2005.
16. Malcolm C. Younglove T. Barth M. and Davis N. Mobile-Source Emissions: Analysis of Spatial Variability in Vehicle Activity Patterns and Vehicle Fleet Distributions. In Transportation Research Record: Journal of the Transportation Research Board, No. 1842, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 91–98.
17. Barth M. An F. Younglove T. Levine C. Scora G. Ross M. and Wenzel T. The Development of a Comprehensive Modal Emissions Model. Final report to the National Cooperative Highway Research Program, Washington, D.C., Nov. 1999.
18. Barth M. Malcolm C. Younglove T. and Hill N. Recent Validation Efforts for a Comprehensive Modal Emissions Model. In Transportation Research Record: Journal of the Transportation Research Board, No. 1750, TRB, National Research Council, Washington, D.C., 2001, pp. 13–23.
19. Barth M. Scora G. and Younglove T. Modal Emissions Model for Heavy-Duty Diesel Vehicles. In Transportation Research Record: Journal of the Transportation Research Board, No. 1880, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 10–20.
20. Dowling R. Ireson R. Skabardonis A. Gillen D. and Stopher P. NCHRP Report 535: Predicting Air Quality Effects of Traffic-Flow Improvements: Final Report and User's Guide. Transportation Research Board of the National Academies, Washington, D.C., 2005.

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: January 2007
Issue published: January 2007

Rights and permissions

© 2007 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Kanok Boriboonsomsin
College of Engineering, Center for Environmental Research and Technology, University of California at Riverside, 1084 Columbia Avenue, Riverside, CA 92507.
Matthew Barth
College of Engineering, Center for Environmental Research and Technology, University of California at Riverside, 1084 Columbia Avenue, Riverside, CA 92507.

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: 69

*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: 14

  1. The impact of high-occupancy vehicle lanes on carpooling
    Go to citation Crossref Google Scholar
  2. The Impact of High-Occupancy Vehicle Lanes on Carpooling
    Go to citation Crossref Google Scholar
  3. Co-benefits and synergies between urban climate change mitigation and ...
    Go to citation Crossref Google Scholar
  4. The general equilibrium effects of high‐occupancy vehicle lanes on con...
    Go to citation Crossref Google Scholar
  5. The Impact of High-Occupancy Vehicle Lanes on Commuters: Field Evidenc...
    Go to citation Crossref Google Scholar
  6. Multi-objective calibration of traffic microsimulation models
    Go to citation Crossref Google Scholar
  7. LINK PERFORMANCE FUNCTIONS FOR HIGH OCCUPANCY VEHICLE LANES OF FREEWAY...
    Go to citation Crossref Google Scholar
  8. State-of-the-art automobile emissions models and applications in North...
    Go to citation Crossref Google Scholar
  9. Optimal Deployment of Managed Lanes in General Networks
    Go to citation Crossref Google Scholar
  10. A BI-LEVEL FRAMEWORK FOR PRICING OF HIGH-OCCUPANCY TOLL LANES
    Go to citation Crossref Google Scholar
  11. Influence of travel behavior on global CO2 emissions
    Go to citation Crossref Google Scholar
  12. TAMNROM-3D...
    Go to citation Crossref Google Scholar
  13. Improvements to On-Road Emission Modeling of Freeways with High-Occupa...
    Go to citation Crossref Google Scholar
  14. Impacts of freeway high-occupancy vehicle lane configuration on vehicl...
    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