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Spatial Correlation Study on Hybrid Electric Vehicle Adoption

Liu, Xiaoli
http://rave.ohiolink.edu/etdc/view?acc_num=osu1397646595

Abstract Details

2014, Master of Science, Ohio State University, Industrial and Systems Engineering.
In today’s world of hybrid-electric vehicles (HEVs) adoption analysis, most studies assume `static preferences’, which concentrate on analyzing isolated individual characteristics and ignoring the `neighbor interactions’. However, in such studies, the observations may not be independent of one another because the likelihood of adopting a HEV of one household may affected by the HEV adoption behavior in neighboring households. In order to take the `neighborhood effects’ into consideration and focus on spatial clustering, this study uses spatial models to analyze the spatial correlations of HEV adoption behavior. Since it is not tractate to do spatial analysis down to individual household level, this study analyzes spatial correlations at the census-tract level. The ultimate goals of this study are to examine whether the spatial correlations exhibit, and to interpret any spatial correlations, explore time lags in spatial model, and calculate the marginal effects of HEV adoption in neighboring census tracts. In this study, the demographic data is collected from 2010 Census Summary File and 2012 American Community Survey 5-year estimates from the U.S census bureau. The vehicle data is provided by Ohio Bureau of Motor Vehicles. The results of this study demonstrate that spatial correlations do exist by comparing the ordinary least square, spatial auto-regressive, spatial error, and general spatial models. Secondly, the marginal effects of an additional HEV in one census tract on its neighboring tracts is found. Finally, this study conducts a time-lagged analysis which reveals HEV from 2001 to 2008 affects HEV adoption since 2009.
Ramteen Sioshansi (Advisor)
Matthew Robert (Committee Member)
Industrial Engineering; Operations Research
spatial analysis; spatial models; time lag analysis; HEV adoption;

Recommended Citations

Citations

  • Liu, X. (2014). Spatial Correlation Study on Hybrid Electric Vehicle Adoption [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397646595

    APA Style (7th edition)

  • Liu, Xiaoli. Spatial Correlation Study on Hybrid Electric Vehicle Adoption. 2014. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1397646595.

    MLA Style (8th edition)

  • Liu, Xiaoli. "Spatial Correlation Study on Hybrid Electric Vehicle Adoption." Master's thesis, Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397646595

    Chicago Manual of Style (17th edition)

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This open access ETD is published by The Ohio State University and OhioLINK.