Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published online January 1, 2010

Macroscopic Model of Greenhouse Gas Emissions for Municipalities

Abstract

In the challenge to reduce greenhouse gas (GHG) emissions from the transportation sector, urban municipalities hold significant responsibilities. The Municipal Transportation and Greenhouse Gas (MUNTAG) model was developed to help municipalities estimate their current transportation emissions, set future targets, and run forecasting scenarios and responses to policies. A set of seven criteria was adopted for the development of the model including low input, ease of use, and feasibility (i.e., the model includes only variables that are controlled by municipalities). The model contains five strategies: land use intensification, public transport, active transport, financial policies, and vehicle technology. Each use is addressed separately and then integrated into one working model. Motorized passenger kilometers traveled (PKT) per capita is first estimated with the gross domestic product per capita and population density. With transit infrastructure indicators, PKT per capita is calculated for each transit mode. Bicycle infrastructure is included to calculate the bicycle mode share. Response to several financial policies (e.g., parking price, area pricing) can be modeled by using elasticity statistics gathered from the literature. Finally, changes in vehicle technology (e.g., hybrid electric vehicles) can be modeled by adjusting the various emission factors. One advantage of the model is that all parameters can be adapted fairly easily to account for municipal specificities. Overall, it is a macroscopic, aggregate, and static model suited for medium-sized and large municipalities that can be useful as a screening tool.

Get full access to this article

View all access and purchase options for this article.

References

1. Greenhouse Gas Emissions from the U.S. Transportation Sector 1990–2003. U.S. Environmental Protection Agency, Washington D.C., 2006.
2. Kennedy C. (ed.). Getting to Carbon Neutral: A Guide for Canadian Municipalities. Toronto and Region Conservation Authority, Toronto, Canada, 2010. http://www.utoronto.ca/sig/CarbonNeutralReport_May52010_FINAL.pdf. Accessed June 21, 2010.
3. Improving Energy Performance in Canada: Report to Parliament Under the Energy Efficiency Act for the Fiscal Year 2005–2006. M141-10/2006E-PDF. Natural Resources Canada, Ottawa, 2006.
4. Newman P., and Kenworthy J. Sustainability and Cities: Overcoming Automobile Dependence. Island Press, Washington, D.C., 1999.
5. Millennium Cities Database for Sustainable Transport. International Union of Public Transport, Brussels, Belgium, 2001.
6. Kenworthy J., and Laube F. An International Sourcebook of Automobile Dependence in Cities, 1960–1990. University Press of Colorado, Boulder, 1999.
7. Schafer A., and Victor D. G. The Future Mobility of the World Population. Transportation Research, Vol. 34A, No. 3, 2000, pp. 171–205.
8. Marcellino M. A Linear Benchmark for Forecasting GDP Growth and Inflation? Journal of Forecasting, Vol. 27, No. 4, 2008, pp. 305–340.
9. Transit Statistics. American Public Transportation Association, Washington, D.C., 2006. http://www.apta.com/research/stats/. Accessed May 4, 2009.
10. Derrible S., and Kennedy S.-M. Network Analysis of World Subway Systems Using Updated Graph Theory. In Transportation Research Record: Journal of the Transportation Research Board, No. 2112, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 17–25.
11. Derrible S., and Kennedy C. Characterizing Metro Networks: State, Form, and Structure. Transportation, Vol. 37, 2010, pp. 275–297.
12. Derrible S., and Kennedy C. Evaluating, Comparing, and Improving Metro Networks: Application to Plans for Toronto, Canada. In Transportation Research Record: Journal of the Transportation Research Board, No. 2146, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 43–51.
13. Pucher J., and Renne J. L. Socioeconomics of Urban Travel: Evidence from the 2001 NHTS. Transportation Quarterly, Vol. 57, No. 3, 2003, pp. 49–77.
14. Killingsworth R. E., De Nazelle A., and Bell R. H. Building a New Paradigm: Improving Public Health Through Transportation. ITE Journal, Vol. 73, No. 6, 2003, pp. 28–32.
15. Bicycle Parking in the Netherlands. National Information and Technology Centre for Transport and Infrastructure (CROW), Ede, Netherlands, 1997.
16. Litman T. Quantifying the Benefits of Nonmotorized Transportation for Achieving Mobility Management Objectives. Victoria Transport Policy Institute, Victoria, Canada, 2004.
17. Dill J., and Carr T. Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them. In Transportation Research Record: Journal of the Transportation Research Board, No. 1828, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 116–123.
18. Nelson A. C., and Allen D. If You Build Them, Commuters Will Use Them: Association Between Bicycle Facilities and Bicycle Commuting. In Transportation Research Record 1578, TRB, National Research Council, Washington, D.C., 1997, pp. 79–83.
19. Benchmarking Data: Bicycling and Walking in the U.S. Alliance for Biking & Walking, Washington, D.C., 2007. http://www.peoplepoweredmovement.org/. Accessed April 27, 2009.
20. Litman T. Transportation Cost and Benefit Analysis: Techniques, Estimates and Implications. Victoria Transport Policy Institute, Victoria, Canada, 2009.
21. Litman T. Distance-Based Pricing: Mileage-Based Insurance, Registration and Taxes. Victoria Transport Policy Institute, Victoria, Canada, 2008.
22. Shoup D. C. The High Cost of Free Parking. American Planning Association, Washington, D.C., 2005.
23. Miller E. J. Central Area Mode Choice and Parking Demand. In Transportation Research Record 1413, TRB, National Research Council, Washington, D.C., 1993, pp. 60–69.
24. TRACE: Costs of Private Road Travel and Their Effects on Demand, Including Short and Long Term Elasticities. In Elasticity Handbook: Elasticities for Prototypical Contexts, Directorate-General for Transport, European Commission, 1999.
25. Tackling Congestion in Auckland: Auckland Road Pricing Evaluation Study. New Zealand Ministry of Transport, Auckland, 2006. http://www.transport.govt.nz/ourwork/land/aucklandroadpricing/.
26. Harrington W., Houde S., and Safirova E. A Simulation of the Effects of Transportation Demand Management Policies on Motor Vehicle Emissions. In Proceedings of the 2007 Transportation Land use, Planning, and Air Quality Conference, American Society of Civil Engineers, 2008, pp. 182–191.
27. GREET 1.8c Model. Argonne National Laboratory, Argonne, Ill. http://www.transportation.anl.gov/modeling_simulation/GREET/greet_1-8c_beta.html, Accessed April 25, 2009.
28. Beer T., Grant T., Brown R., Edwards J., Nelson P., Watson H., and Williams D. Life-Cycle Emissions Analysis of Alternative Fuels for Heavy Vehicles. Atmospheric Research Report C/0411/1.1/F2. Commonwealth Science and Industrial Research Organization, Victoria, Australia, 2000.
29. Lenzen M. Total Requirements of Energy and Greenhouse Gases for Australian Transport. Transportation Research, Vol. 4D, No. 4, 1999, pp. 265–290.
30. West R. E., and Kreith F. A Scenario for a Secure Transportation System Based on Fuel from Biomass. Journal of Solar Energy Engineering, Vol. 130, No. 2, 2008, pp. 0255011–0255016.
31. Bauen A., and Hart D. Assessment of the Environmental Benefits of Transport and Stationary Fuel Cells. In Sixth Grove Fuel Cell Symposium: Fuel Cells—Competitive Option for Sustainable Energy Supply, Elsevier, Switzerland, 2000, pp. 482–94.
32. Wise J. Life Cycle Assessment of Diesel and Fuel Cell Buses. NRCan GHGenius Analysis. Natural Resources Canada, Ottawa, 2009. http://www.ic.gc.ca/eic/site/hfc-hpc.nsf/eng/mc00083.html. Accessed April 25, 2009.
33. ICF International. Greenhouse Gases and Air Pollutants in the City of Toronto: Toward a Harmonized Strategy for Reducing Emissions. Toronto, Canada, 2007.

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, 2010
Issue published: January 2010

Rights and permissions

© 2010 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Sybil Derrible
Department of Civil Engineering, University of Toronto, 35 St. George Street, Toronto, Ontario M5S 1A4, Canada.
Sheyda Saneinejad
Department of Civil Engineering, University of Toronto, 35 St. George Street, Toronto, Ontario M5S 1A4, Canada.
Lorraine Sugar
Department of Civil Engineering, University of Toronto, 35 St. George Street, Toronto, Ontario M5S 1A4, Canada.
Christopher Kennedy
Department of Civil Engineering, University of Toronto, 35 St. George Street, Toronto, Ontario M5S 1A4, Canada.

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: 146

*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. Quality of Life Outcomes of the Smarter Growth Neighborhood Design Pri...
    Go to citation Crossref Google Scholar
  2. Evaluation of Bursa metropolitan greenhouse Gas inventory and reductio...
    Go to citation Crossref Google Scholar
  3. Development of an AI Model to Measure Traffic Air Pollution from Multi...
    Go to citation Crossref Google Scholar
  4. The role of travel demand and network centrality on the connectivity a...
    Go to citation Crossref Google Scholar
  5. Stochastic Modeling of Road System Performance during Multihazard Even...
    Go to citation Crossref Google Scholar
  6. TRIBUTE: Trip-based urban transportation emissions model for municipal...
    Go to citation Crossref Google Scholar
  7. Complexity in future cities: the rise of networked infrastructure
    Go to citation Crossref Google Scholar
  8. Multi-criteria robustness analysis of metro networks
    Go to citation Crossref Google Scholar
  9. Using Fisher information to assess stability in the performance of pub...
    Go to citation Crossref Google Scholar
  10. Robustness of road systems to extreme flooding: using elements of GIS,...
    Go to citation Crossref Google Scholar
  11. Using Fisher information to track stability in multivariate systems
    Go to citation Crossref Google Scholar
  12. Leveraging Big Data for the Development of Transport Sustainability In...
    Go to citation Crossref Google Scholar
  13. Development and application of the Pedestrian Environment Index (PEI)
    Go to citation Crossref Google Scholar
  14. Reviewing and assessing the Toronto metro system
    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