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 language | English |
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Title of host publication | EVS 2016 � 29th International Electric Vehicle Symposium |
Publisher | Electric Vehicle Symposium and Exhibition |
ISBN (Electronic) | 9781510832701 |
Publication status | Published - 1 Jan 2016 |
Externally published | Yes |
Event | 29th World Electric Vehicle Symposium and Exhibition, EVS 2016 - Palais des Congres de Montreal, Montreal, Canada Duration: 19 Jun 2016 → 22 Jun 2016 |
Conference
Conference | 29th World Electric Vehicle Symposium and Exhibition, EVS 2016 |
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Country/Territory | Canada |
City | Montreal |
Period | 19/06/16 → 22/06/16 |
Keywords
- BEV
- Canada
- Choice model
- HEV
- Latent class analysis
- PHEV
- Submarket segmentation
ASJC Scopus subject areas
- Automotive Engineering
- Electrical and Electronic Engineering
- Fuel Technology