ALTERNATIVE FUELLED VEHICLE DEMAND IN HAMILTON CMA: THE CIBER-CARS SURVEY

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ALTERNATIVE FUELLED VEHICLE DEMAND IN HAMILTON
CMA THE CIBER-CARS SURVEY

• THE CIBER CARs Survey (contd)
• The CIBER-CARs survey consists of two stages.
• STAGE 1 Retrospective Data Collection (Revealed
  Preferences)
• This stage is of a retrospective nature on
  households' type and vintage of vehicles bought,
  sold and/or disposed during a maximum
  time-horizon of eight years (1997-2005). Figure 2
  shows a data model of the information collected
  in the first stage.
• The last step of this stage asks respondents
  about their future plans to purchase a vehicle
  and its specific characteristics such as
  anticipated annual usage rate, the amount of
  money they would spend to purchase it and the
  vehicle class.
• STAGE 2 Prospective Vehicle Technology Type
  Choice (Stated Choices)
• The second stage is a stated choices experiment
  on future vehicle purchases. Vehicle choice
  alternatives are labelled based on the fuel type
  and class of the vehicle. The fuel type label
  consists of a conventional gasoline, a
  hybrid-electric and an alternative fuel vehicle.
  Also, the vehicle class label includes
  subcompact, compact, medium and large size car,
  SUV, pick-up truck and van. Each respondent
  completes eight exercises each involving the
  choice of one out of three fuel type options
  (Figure 3). The conventional gasoline vehicle is
  the base alternative and it is customized per
  respondent based on information elicited in the
  first stage of the survey. The characteristics of
  the conventional vehicle remain the same
  throughout the eight exercises.

BACKGROUND 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 Canadas total
emissions. Personal vehicles generate eighty
percent of these emissions, suggesting that
alternative vehicle technologies could be a
promising solution to emission reduction. Analys
is 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. 2003Bunch et al., 1993) or
national level (Dagsvik et al., 2002).

• OBJECTIVES
• To advance the current stage of knowledge
  dealing with the modelling of automobile demand
  and examine the role of space in this process.
• To determine the importance of vehicle
  attributes and household characteristics that
  influence preferences for alternative vehicle
  technologies.
• To device a behavioural framework of the
  household vehicle-acquisition and vehicle
  type-choice processes, and
• To evaluate market penetration and environmental
  benefits of cleaner vehicle technologies at the
  urban level.

• REFERENCES
• Adler, T., Wargelin, L., Kostyniuk, L. P.,
  Kavalec, C. and Occhiuzzo, G. (2003) Incentives
  for Alternative Fuel Vehicles A large-scale
  stated preference experiment. 10th International
  Conference on Travel Behaviour Research, Lucerne,
  Switzerland.
• Bunch, D. S., Bradley, M., Golob, T. F.,
  Kitamura, R. and Occhizzo, G. P. (1993) Demand
  for clean-fuel vehicles in California A discrete
  choice stated preference survey. Transportation
  Research A, 27, 237-253.
• Dagsvik, J. K., Wennemo, T., Wetterwald, D. G.
  and Aaberge, R. (2002) Potential demand for
  alternative fuel vehicles. Transportation
  Research B, 36, 361-384.

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.