Hybrid Electric Vehicle Ownership and Fuel Economy Across Texas: An Application of Spatial Models

摘要: Policymakers, transport planners, automobile manufacturers, and others are interested in the factors that affect adoption rates of electric vehicles more fuel efficient vehicles. Using Census-tract-level data registered vehicle counts across Texas counties 2010, this study investigated impact various built environment demographic attributes, including land use balance, employment density, population densities, median age, gender, race, education, household size, income. To allow for spatial autocorrelation (across census tracts) unobserved components by tract, as well cross-response correlation (both local/aspatial nature), models ownership levels (vehicle counts, type economy level) were estimated using bivariate trivariate Poisson-lognormal conditional autoregressive models. The presence high autocorrelations local crossresponse correlations is consistent all models, studied. Fuel-efficientvehicle found to rise with incomes, resident education levels, share male residents, fall larger sizes higher jobs densities. average each tract’s light-duty also analyzed, a error model, tracts; variable was depend most on educational attainment income, size variables, though covariates used statistically significant. If households registering fuel-efficient vehicles,