Centre for Spatial Analysis School of Geography & Geology McMaster University Hamilton, ON, L8S 4K1. The Hamilton Area Automobile Survey (CIBER-CARs) Dimitris Potoglou, M.Sc., Ph.D. Candidate ( [email protected]) Pavlos S. Kanaroglou, Professor, Canada Research Chair in Spatial Analysis.
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Centre for Spatial Analysis
School of Geography & Geology
Hamilton, ON, L8S 4K1
The Hamilton Area Automobile Survey (CIBER-CARs)
Dimitris Potoglou, M.Sc., Ph.D. Candidate ([email protected])
Pavlos S. Kanaroglou, Professor, Canada Research Chair in Spatial Analysis
Figure 1. Graphical Interface of the CIBER-CARs: the Welcome Screen
Figure 3. Example of a choice exercise
ALTERNATIVE FUELLED VEHICLE DEMAND IN HAMILTON CMA: THE CIBER-CARS SURVEY
By ratifying the Kyoto Protocol in 2002, Canada is aiming at reducing significantly its greenhouse gas (GHG) emissions. Target sectors in achieving this goal are transportation, energy, industry, forestry and agriculture. Of these, the transportation sector is the largest source of GHG emissions contributing about one quarter of Canada’s total emissions. Personal vehicles generate eighty percent of these emissions, suggesting that alternative vehicle technologies could be a promising solution to emission reduction.
Analysis of the role of vehicle technology in fulfilling sustainability targets, however, requires estimates of future vehicle demand. Such estimates would be significant information to local and regional governments for introducing incentives and policy measures towards a considerable market penetration of cleaner vehicle technologies. Contemporary approaches in this field require collection of data regarding vehicle transactions and type choices at the household level. To date, the majority of the studies have been US-based with a focus at the state (Adler et al. 2003;Bunch et al., 1993) or national level (Dagsvik et al., 2002).
Figure 2. Data model of the CIBER_CARs Survey
THE CIBER – CARs Survey
The Choice Internet-Based Experiment for Research on Cars (CIBER-CARs) is a self-administered online internet-survey developed for data collection on household automobiles in the Census Metropolitan Area (CMA) of Hamilton (Figure 1). Through this data collection effort, we aim at developing a better understanding on household behaviour regarding vehicle transactions and type-choice in both a retrospective and prospective context. For this purpose, this survey is designed to collect both revealed preferences and stated choices data.