Spatio-Temporal Analysis of Car Distance, Greenhouse Gases and the Effect of Built Environment: a Latent Class Regression Analysis
AbstractThis work examines the temporal-spatial variations of daily automobile distance traveled and greenhouse gas emissions (GHGs) and their association with built environment attributes and household socio-demographics. A GHGs household inventory is determined using link-level average speeds for a large and representative sample of households in three origin-destination surveys (1998, 2003 and 2008) in Montreal, Canada. For the emission inventories, different sources of data are combined including link-level average speeds in the network, vehicle occupancy levels and fuel consumption characteristics of the vehicle fleet. Built environment indicators over time such as population density, land use mix and transit accessibility are generated for each household in each of the three waves. A latent class (LC) regression modeling framework is then implemented to investigate the association of built environment and socio-demographics with GHGs and automobile distance traveled. Among other results, it is found that population density, transit accessibility and land-use mix have small but statistically significant negative impact on GHGs and car usage. Despite that this is in accordance with past studies, the estimated elasticities are greater than those reported in the literature for North American cities. Moreover, different household subpopulations are identified in which the effect of built environment varies significantly. Also, a reduction of the average GHGs at the household level is observed over time. According to our estimates, households produced 15% and 10% more GHGs in 1998 and 2003 respectively, compared to 2008. This reduction is associated to the improvement of the fuel economy of vehicle fleet and the decrease of motor-vehicle usage. A strong link is also observed between socio-demographics and the two travel outcomes. While number of workers is positively associated with car distance and GHGs, low and medium income households pollute less than high-income households.
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Bibliographic InfoPaper provided by University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE) in its series Working Papers with number 144271.
Date of creation: Jan 2013
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Greenhouse gas emissions; spatio-temporal variations; built environment; latent class regression; household clusters; Environmental Economics and Policy; R42; R48; Q54; Q58;
Find related papers by JEL classification:
- R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
- R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters
- Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-03-09 (All new papers)
- NEP-DCM-2013-03-09 (Discrete Choice Models)
- NEP-ENE-2013-03-09 (Energy Economics)
- NEP-ENV-2013-03-09 (Environmental Economics)
- NEP-GEO-2013-03-09 (Economic Geography)
- NEP-TRE-2013-03-09 (Transport Economics)
- NEP-URE-2013-03-09 (Urban & Real Estate Economics)
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