IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v44y2017i1d10.1007_s11116-015-9631-0.html
   My bibliography  Save this article

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

Author

Listed:
  • Seyed Amir H. Zahabi

    (McGill University)

  • Luis Miranda-Moreno

    (McGill University)

  • Zachary Patterson

    (Concordia University)

  • Philippe Barla

    (Université Laval)

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.

Suggested Citation

  • Seyed Amir H. Zahabi & Luis Miranda-Moreno & Zachary Patterson & Philippe Barla, 2017. "Impacts of built environment and emerging green technologies on daily transportation greenhouse gas emissions in Quebec cities: a disaggregate modeling approach," Transportation, Springer, vol. 44(1), pages 159-180, January.
    • Handle: RePEc:kap:transp:v:44:y:2017:i:1:d:10.1007_s11116-015-9631-0
    DOI: 10.1007/s11116-015-9631-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-015-9631-0
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-015-9631-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Partha Deb & Pravin K. Trivedi, 2006. "Specification and simulated likelihood estimation of a non-normal treatment-outcome model with selection: Application to health care utilization," Econometrics Journal, Royal Economic Society, vol. 9(2), pages 307-331, July.
    2. Antonio M. Bento & Maureen L. Cropper & Ahmed Mushfiq Mobarak & Katja Vinha, 2005. "The Effects of Urban Spatial Structure on Travel Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 466-478, August.
    3. Zahabi, Seyed Amir H. & Miranda-Moreno, Luis & Patterson, Zachary & Barla, Philippe, 2015. "Spatio-temporal analysis of car distance, greenhouse gases and the effect of built environment: A latent class regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 1-13.
    4. Philippe Barla & Bernard Lamonde & Luis Miranda-Moreno & Nathalie Boucher, 2009. "Traveled distance, stock and fuel efficiency of private vehicles in Canada: price elasticities and rebound effect," Transportation, Springer, vol. 36(4), pages 389-402, July.
    5. Jie Lin & Liang Long, 2008. "What neighborhood are you in? Empirical findings of relationships between household travel and neighborhood characteristics," Transportation, Springer, vol. 35(6), pages 739-758, November.
    6. Schäfer, Andreas & Heywood, John B. & Weiss, Malcolm A., 2006. "Future fuel cell and internal combustion engine automobile technologies: A 25-year life cycle and fleet impact assessment," Energy, Elsevier, vol. 31(12), pages 2064-2087.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ying Huang & Yongli Zhang & Feifan Deng & Daiqing Zhao & Rong Wu, 2022. "Impacts of Built-Environment on Carbon Dioxide Emissions from Traffic: A Systematic Literature Review," IJERPH, MDPI, vol. 19(24), pages 1-17, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zahabi, Seyed & Miranda-Moreno, Luis & Patterson, Zachary & Barla, Philippe, 2012. "Evaluating the effects of land use and strategies for parking and transit supply on mode choice of downtown commuters," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(2), pages 103-119.
    2. Ralph, Kelcie & Voulgaris, Carole Turley & Taylor, Brian D. & Blumenberg, Evelyn & Brown, Anne E., 2016. "Millennials, built form, and travel insights from a nationwide typology of U.S. neighborhoods," Journal of Transport Geography, Elsevier, vol. 57(C), pages 218-226.
    3. Christopher Harding & Zachary Patterson & Luis F Miranda-Moreno & Seyed Amir Zahabi, 2014. "A Spatial and Temporal Comparative Analysis of the Effects of Land-Use Clusters on Activity Spaces in Three Quebec Cities," Environment and Planning B, , vol. 41(6), pages 1044-1062, December.
    4. Xu Yang & Xuan Zou & Xueqi Liu & Qixuan Li & Siqian Zou & Ming Li, 2023. "The Spatiotemporal Pattern and Driving Mechanism of Urban Sprawl in China’s Counties," Land, MDPI, vol. 12(3), pages 1-16, March.
    5. Fullerton, Thomas M. & Jiménez, Alan A. & Walke, Adam G., 2015. "An econometric analysis of retail gasoline prices in a border metropolitan economy," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 450-461.
    6. De Borger, Bruno & Mulalic, Ismir & Rouwendal, Jan, 2016. "Measuring the rebound effect with micro data: A first difference approach," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 1-17.
    7. Morikawa, Masayuki, 2012. "Population density and efficiency in energy consumption: An empirical analysis of service establishments," Energy Economics, Elsevier, vol. 34(5), pages 1617-1622.
    8. Steven Spears & Marlon G Boarnet & Douglas Houston, 2017. "Driving reduction after the introduction of light rail transit: Evidence from an experimental-control group evaluation of the Los Angeles Expo Line," Urban Studies, Urban Studies Journal Limited, vol. 54(12), pages 2780-2799, September.
    9. Daniele Fabbri & Chiara Monfardini, 2016. "Opt Out or Top Up? Voluntary Health Care Insurance and the Public vs. Private Substitution," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 75-93, February.
    10. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    11. Lawrence Goulder, 2007. "Distributional and Efficiency Impacts of Increased U.S. Gasoline Taxes," Discussion Papers 07-009, Stanford Institute for Economic Policy Research.
    12. Leslie Richardson & John B. Loomis & Patricia A. Champ, 2013. "Valuing Morbidity from Wildfire Smoke Exposure: A Comparison of Revealed and Stated Preference Techniques," Land Economics, University of Wisconsin Press, vol. 89(1), pages 76-100.
    13. Huang, Robert & Kahn, Matthew E., 2024. "An economic analysis of United States public transit carbon emissions dynamics," Regional Science and Urban Economics, Elsevier, vol. 107(C).
    14. Denant-Boemont, Laurent & Gaigné, Carl & Gaté, Romain, 2018. "Urban spatial structure, transport-related emissions and welfare," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 29-45.
    15. Atella, Vincenzo & Deb, Partha, 2008. "Are primary care physicians, public and private sector specialists substitutes or complements? Evidence from a simultaneous equations model for count data," Journal of Health Economics, Elsevier, vol. 27(3), pages 770-785, May.
    16. Giampiero Marra & Matteo Fasiolo & Rosalba Radice & Rainer Winkelmann, 2023. "A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1305-1322, June.
    17. Bento, Antonio M. & Franco, Sofia F. & Kaffine, Daniel, 2011. "Is there a double-dividend from anti-sprawl policies?," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 135-152, March.
    18. Zamparini, L. & Domènech, A. & Miravet, D. & Gutiérrez, A., 2022. "Green mobility at home, green mobility at tourism destinations: A cross-country study of transport modal choices of educated young adults," Journal of Transport Geography, Elsevier, vol. 103(C).
    19. Massimiliano Bratti & Alfonso Miranda, 2010. "Endogenous Treatment Effects for Count Data Models with Sample Selection or Endogenous Participation," DoQSS Working Papers 10-05, Quantitative Social Science - UCL Social Research Institute, University College London, revised 10 Dec 2010.
    20. Moshiri, Saeed & Aliyev, Kamil, 2017. "Rebound effect of efficiency improvement in passenger cars on gasoline consumption in Canada," Ecological Economics, Elsevier, vol. 131(C), pages 330-341.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:transp:v:44:y:2017:i:1:d:10.1007_s11116-015-9631-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.