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Transportation

, Volume 44, Issue 1, pp 159–180 | Cite as

Impacts of built environment and emerging green technologies on daily transportation greenhouse gas emissions in Quebec cities: a disaggregate modeling approach

  • Seyed Amir H. Zahabi
  • Luis Miranda-Moreno
  • Zachary Patterson
  • Philippe Barla
Article
  • 583 Downloads

Abstract

This paper aims to investigate the impact of the built environment (BE) and emerging transit and car technologies on household transport-related greenhouse gas emissions (GHGs) across three urban regions. Trip-level GHG emissions are first estimated by combining different data sources such as origin–destination (OD) surveys, vehicle fleet fuel consumption rates, and transit ridership data. BE indicators for the different urban regions are generated for each household and the impact of neighborhood typologies is derived based on these indicators. A traditional ordinary least square (OLS) regression approach is then used to investigate the direct association between the BE indicators, socio-demographics, and household GHGs. The effect of neighborhood typologies on GHGs is explored using both OLS and a simultaneous equation modeling approach. Once the best models are determined for each urban region, the potential impact of BE is determined through elasticities and compared with the impact of technological improvements. For this, various fuel efficiency scenarios are formulated and the reductions on household GHGs are determined. Once the potential impact of green transit and car technologies is determined, the results are compared to those related to BE initiatives. Among other results, it is found that BE attributes have a statistically significant effect on GHGs. However, the elasticities are very small, as reported in several previous studies. For instance, a 10 % increase in population density will result in 3.5, 1.5 and 1.4 % reduction in Montreal, Quebec and Sherbrooke, respectively. It is also important to highlight the significant variation of household GHGs among neighborhoods in the same city, variation which is much greater than among cities. In the short term, improvements on the private passenger vehicle fleet are expected to be much more significant than BE and green transit technologies. However, the combined effect of BE strategies and private-motor vehicle technological improvement would result in more significant GHGs reductions in the long term.

Keywords

Greenhouse gas emissions Neighborhood typologies Travel behavior Built environment characteristics Emerging vehicle technologies 

Notes

Acknowledgments

We would like to acknowledge the financial aid provided by Ministère des Transports du Québec (MTQ) and FQRNT. We would also like to thank the AMT and MTQ for providing us with the data necessary for this research, including O-D surveys.

References

  1. Ally, J., Pryor, T.: Life-cycle assessment of diesel, natural gas and hydrogen fuel cell bus transportation systems. J. Power Sources 170, 401–411 (2007)CrossRefGoogle Scholar
  2. Babin, A., Fournier, P., Gourvil, L.: Modèle d’émission des polluants et des GES et modèle de consommation des carburants pour MOTREM, Service de la modélisation des systèmes de transport, Ministère des Transports du Québec, p. 221 (2004)Google Scholar
  3. Badoe, D., Miller, E.: Transportation-land use interaction: empirical findings in North America, and their implications for modeling. Transp. Res. 5(4), 235–263 (2000)Google Scholar
  4. Barla, P., Lamonde, B., Miranda-Moreno, L.F., Boucher, N.: Traveled distance, stock and fuel efficiency of private vehicles in Canada: price elasticities and rebound effect. Transportation 36(4), 367–467 (2009)CrossRefGoogle Scholar
  5. Barla, P., Miranda-Moreno, L.F., Lee-Gosselin, M.: Urban travel CO2 emissions and land use: a case study for Quebec City. Transp. Res. Part D 16(6), 423–428 (2010)CrossRefGoogle Scholar
  6. Bento, A.M., Cropper, M.L., Mobarak, A.M., Vinha, K.: The effects of urban spatial structure on travel demand in the United States. Rev. Econ. Stat. 87(3), 466–478 (2005)CrossRefGoogle Scholar
  7. Castella, P.S., Blanc, I., Ferrer, M.G., Ecabert, B., Wakeman, M., Manson, J.-A., Emery, D., Han, S.-H., Hong, J., Jolliet, O.: Integrating life cycle costs and environmental impacts of composite rail car-bodies for a Korean train. Int. J. Life Cycle Assess. 14, 429–442 (2009)CrossRefGoogle Scholar
  8. Chester, M., Horvath, A.: Life-cycle assessment of high-speed rail: the case of California. Environ Res Lett 5(1), 014003 (2010)CrossRefGoogle Scholar
  9. Deb, P., Trivedi, P.K.: Specification and simulated likelihood estimation of a non-normal treatment-outcome model with selection: application to health care utilization. Econ J 9, 307–331 (2006)Google Scholar
  10. Environnent Canada.: Environnent Canada’s online newsmagazine. Issue 100, Taming Transport: New Regulations for 30 Greenhouse. http://www.ec.gc.ca/envirozine/default.asp?lang=En&n=AB656AC7-13131 (2010)
  11. Federal Register.: Light-duty vehicle greenhouse gas emission standards and corporate average fuel economy standards; final rule, http://www.gpo.gov/fdsys/pkg/FR-2010-05-07/pdf/2010-8159.pdf (2010)
  12. Frank, L.D., Schmid, T.L., Sallis, J.F., Chapman, J., Saelens, B.E.: Linking objectively measured physical activity with objectively measured urban form: findings from SMARTRAQ. Am. J. Prev. Med. 28(2), 117–125 (2005)CrossRefGoogle Scholar
  13. Frey, H.C., Rouphail, N.M., Zhai, H., Farias, T.L., Goncalves, G.A.: Comparing real-world fuel consumption for diesel- and hydrogen-fueled transit buses and implication for emissions. Transp. Res. Part D 12, 281–291 (2007)CrossRefGoogle Scholar
  14. Hartgen, D., Gregory Fields, M., Moore, A. Impacts of transportation policies on greenhouse gas emissions in U.S. regions. Reason foundation, http://reason.org/news/show/greenhouse-gas-policies-cost-transp (2011)
  15. Karman, D.: Life-cycle analysis of GHG emissions for CNG and diesel buses in Beijing. EIC Clim Change Technol 1, 248–253 (2006)Google Scholar
  16. Lin, J., Long, L.: What neighborhood are you in? Empirical findings of relationships between household travel and neighborhood characteristics. Transportation 35(6), 739–758 (2008)CrossRefGoogle Scholar
  17. Marin, G.D., Naterer, G.F., Gabriel, K.: Rail transportation by hydrogen versus electrification—case study for Ontario Canada, I: propulsion and storage. Int J Hydrog Energy 35, 6084–6096 (2010a)CrossRefGoogle Scholar
  18. Marin, G.D., Naterer, G.F., Gabriel, K.: Rail transportation by hydrogen versus electrification—case study for Ontario, Canada, II: energy supply and distribution. Int J Hydrog Energy 35(12), 6097–6107 (2010b)CrossRefGoogle Scholar
  19. MDDEP.: Ministère du Développement durable, de l’Environnement et des Parcs du Québec, (2007)Google Scholar
  20. Meegahawatte, D., Hillmansen, S., Roberts, C., Falco, M., McGordon, A., Jennings, P.: Analysis of a fuel cell hybrid commuter railway vehicle. J. Power Sources 195, 7829–7837 (2010)CrossRefGoogle Scholar
  21. Miranda-Moreno, L., Bettex, L., Zahabi, A., Kreider, T., Barla, P.: A simultaneous modeling approach to evaluate the endogenous influence of urban form and public transit accessibility on distance traveled. J Transp Res Record 2255, 100–109 (2011)CrossRefGoogle Scholar
  22. Plan d’action.: sur les vehicules electriques, (2011–2020). http://www.mrn.gouv.qc.ca/publications/energie/strategie/plan-action.pdf
  23. Riva, M., Apparicio, P., Gauvin, L., Brodeur, J.-M.: Establishing the soundness of administrative spatial units for operationalising the active living potential of residential environments: an exemplar for designing optimal zones. Int J Health Geogr 7(1), 43 (2008)CrossRefGoogle Scholar
  24. Rozycki, V.C., Koeser, H., Schwarz, H.: Ecology profile of the german high-speed rail passenger transport system, ICE. Int. J. Life Cycle Assess. 8(2), 83–91 (2003)CrossRefGoogle Scholar
  25. Schafer, A., Heywood, J.B., Weiss, M.A.: Future fuel cell and internal combustion engine automobile technologies: a 25-year life cycle and fleet impact assessment. Energy 31, 2064–2087 (2006)CrossRefGoogle Scholar
  26. Smith, R.A.: Railways: how they may contribute to a sustainable future. Proc Inst Mech Eng Part F 217, 243–248 (2003)CrossRefGoogle Scholar
  27. Société de transport de Montréal (STM).: Technical Report-Hybrid Technology, (2009)Google Scholar
  28. Statistics Canada.: 2001 Census of Population, Montréal (862 areas). E-STAT (distributor), (2001)Google Scholar
  29. Theil, H., Finizza, A.J.: A note on the measurement of racial integration of schools by means of informational concepts. J Math Sociol 1(2), 187–193 (1971)CrossRefGoogle Scholar
  30. TRB-Transportation Research Board.: Driving and the built environment: the effects of compact development on motorized travel, energy use, and CO2 emissions. Special Report 298, National Research Council, Washington DC, (2009)Google Scholar
  31. US Department of Energy.: Annual Energy Outlook 2012 with projections to 2035, www.eia.gov/forecasts/aeo (2012)
  32. Wee, B.V., Janse, P., Van Den Brink, R.: Comparing energy use and environmental performance of land transport modes. Transp Rev 25(1), 3–34 (2005)CrossRefGoogle Scholar
  33. Zahabi, SAH., Miranda-Moreno, LF., Patterson, Z., Barla, P.: Urban transportation greenhouse gas emissions and its link with urban form, transit accessibility and emerging green technologies: a montreal case study. In: Transportation Research Board 92nd Annual Meeting, no. 13-1394, (2013)Google Scholar
  34. Zahabi, S.A.H., Miranda-Moreno, L., Patterson, Z., Barla, P.: Spatio-temporal analysis of car distance, greenhouse gases and the effect of built environment: a latent class regression analysis. Transp. Res. Part A 77, 1–13 (2015)Google Scholar
  35. Zamel, N., Li, X.: Life cycle analysis of vehicles powered by a fuel cell and by internal combustion engine for Canada. J. Power Sources 155, 297–310 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Seyed Amir H. Zahabi
    • 1
  • Luis Miranda-Moreno
    • 1
  • Zachary Patterson
    • 2
  • Philippe Barla
    • 3
  1. 1.Department of Civil Engineering and Applied MechanicsMcGill UniversityMontrealCanada
  2. 2.Department of Geography, Planning and EnvironmentConcordia UniversityMontrealCanada
  3. 3.Centre for Data and Analysis in Transportation (CDAT)Université LavalQuebec CityCanada

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