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• W3199482078 abstract "Traffic isinevitably a major source of air pollution, particularly in urban areas.Efforts are made towards reducing emissions by improving vehicle and fueltechnology and promoting alternative, sustainable modes of transportation. Althoughthe emergence of EVs has shown capabilities of decreasing energy use andemissions levels, the EV market is developing slowly mainly due to drivers’ rangeanxiety and charging time. Electric roadways (ERs) have been proposed as asolution to overcome the concerns related to EVs by converting road segmentsinto powered lanes where vehicles can be charged as they move along theroadway. This technology has the potential to increase driving range, decreasebattery size and thus, lower the weight and the cost of EVs. In this context,exploring the challenging concept of ERs comes natural. Since data on themarket acceptance and the environmental implications on this technology arelimited to non-existent, this thesis has the following objectives: 1) identifythe factors that affect the short- and long-term intention to use ERs, 2) estimatethe level of adoption of the ER technology and identify characteristics of the marketsegments and 3) assess the impact of ERs on criteria pollutants and greenhousegas emissions based on the market adoption results.To achieve these objectives,a survey of the general population in Los Angeles, California was conducted,gathering 600 responses representative of gender and age in the area. Los Angelesis considered a leader in electro-mobility and thus, a natural choice for theimplementation of ERs. The short-or long-term intentions to drive on ERs and purchasean EV knowing about the availability of ERs were found to be correlated andthus, were modeled simultaneously using a bivariate ordered probit model. Thecompatibility of the ER technology with respondents’ lifestyle and needs, respondents’tendency towards using sustainable forms of transportation, respondents’innovativeness and perceived environmental benefits were among the mostsignificant variables found to affect the short-term and long-term intention touse ERs.The level of adoption of the ER technologyand corresponding market segments were identified using a combination ofPrincipal Component Analysis (PCA) and Cluster Analysis. Three clusters emerged from the analysis: early adopters (48.5%), mid-adopters(27.67%) and late adopters (23.83%) that differed in terms of demographics andsocioeconomic characteristics, travel and EV charging characteristics and levelof awareness. The adoptionlevels found were then used to estimate the emissions change due to theimplementation of the ERs by 2050. Using the California Air Resources Board’s(CARB) 2017 EMissions FACtor model (EMFAC). Two scenarios were examined consideringlight-duty vehicles (LDVs) in a specific corridor: “with” and “withoutelectrification” scenarios. The results suggested that the ER technology for light-dutyvehicles has the potential to provide emission reductions of 4 to 24%. Asensitivity analysis was also conducted to examine the effect of speed on theresults.Turning to thepractical implications, this thesis can provide a foundational framework forthe evaluation of the ER technology in terms of environmental and economicviability and set the groundwork for future research. Ultimately, theshort-term and long-term intention analysis can be used as a draft guide bystate and local agencies and inform their strategic short- or long- range plansfor mobility. By segmenting potential users, policy makers and transportoperators can be informed about the main challenges regarding the promotion ofthe ER technology to distinct market segments and devise ways to accelerate itsadoption. The findings from the impact analysis of ERs on criteria pollutantsand greenhouse gases can also inform long-range transportation plans and existingregulations and policies in California and beyond." @default.
• W3199482078 created "2021-09-27" @default.
• W3199482078 creator A5054042985 @default.
• W3199482078 date "2019-01-16" @default.
• W3199482078 modified "2023-09-23" @default.
• W3199482078 title "MARKET ADOPTION AND IMPACT OF ELECTRIC ROADWAYS ON CRITERIA POLLUTANTS AND GREENHOUSE GAS EMISSIONS" @default.
• W3199482078 doi "https://doi.org/10.25394/pgs.7429100.v1" @default.
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