Spatial and demographic sub-markets informing preferences for electric vehicles in Canada

Christopher Donald Higgins, Moataz Mahmoud, Mark Ferguson, Pavlos Kanaroglou

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The present research seeks to identify both spatial and demographic sub-markets for EVs across Canada. Demographic sub-market identification consists of using latent class analysis to classify respondents into homogeneous groups based on their manifest responses. Working from this classification, spatial sub-market segmentation utilizes spatial classification methods to provide a second layer of analytical granularity. These preliminary models are then incorporated into discrete choice modelling frameworks. From this we provide greater clarity on the characteristics of these individuals, their regional and local locational contexts, the magnitude of the relationships, and feedback between them.
Original languageEnglish
Title of host publicationEVS 2016 � 29th International Electric Vehicle Symposium
PublisherElectric Vehicle Symposium and Exhibition
ISBN (Electronic)9781510832701
Publication statusPublished - 1 Jan 2016
Externally publishedYes
Event29th World Electric Vehicle Symposium and Exhibition, EVS 2016 - Palais des Congres de Montreal, Montreal, Canada
Duration: 19 Jun 201622 Jun 2016

Conference

Conference29th World Electric Vehicle Symposium and Exhibition, EVS 2016
Country/TerritoryCanada
CityMontreal
Period19/06/1622/06/16

Keywords

  • BEV
  • Canada
  • Choice model
  • HEV
  • Latent class analysis
  • PHEV
  • Submarket segmentation

ASJC Scopus subject areas

  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Fuel Technology

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