Spatial Correlation Study on Hybrid Electric Vehicle Adoption
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The Ohio State University / OhioLINK
2014
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1397646595 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu13976465952021-08-03T06:23:49Z Spatial Correlation Study on Hybrid Electric Vehicle Adoption Liu, Xiaoli Industrial Engineering Operations Research spatial analysis spatial models time lag analysis HEV adoption 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. 2014-09-05 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1397646595 http://rave.ohiolink.edu/etdc/view?acc_num=osu1397646595 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Industrial Engineering Operations Research spatial analysis spatial models time lag analysis HEV adoption |
| spellingShingle |
Industrial Engineering Operations Research spatial analysis spatial models time lag analysis HEV adoption Liu, Xiaoli Spatial Correlation Study on Hybrid Electric Vehicle Adoption |
| author |
Liu, Xiaoli |
| author_facet |
Liu, Xiaoli |
| author_sort |
Liu, Xiaoli |
| title |
Spatial Correlation Study on Hybrid Electric Vehicle Adoption |
| title_short |
Spatial Correlation Study on Hybrid Electric Vehicle Adoption |
| title_full |
Spatial Correlation Study on Hybrid Electric Vehicle Adoption |
| title_fullStr |
Spatial Correlation Study on Hybrid Electric Vehicle Adoption |
| title_full_unstemmed |
Spatial Correlation Study on Hybrid Electric Vehicle Adoption |
| title_sort |
spatial correlation study on hybrid electric vehicle adoption |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2014 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1397646595 |
| work_keys_str_mv |
AT liuxiaoli spatialcorrelationstudyonhybridelectricvehicleadoption |
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