Abstract
The availability of retail stations can be a significant barrier to the adoption of alternative fuel light-duty vehicles in household markets. This is especially the case during early market growth when retail stations are likely to be sparse and when vehicles are dedicated in the sense that they can only be fuelled with a new alternative fuel. For some bi-fuel vehicles, which can also fuel withconventional gasoline or diesel, limited availability will not necessarily limit vehicle sales but can limit fuel use. The impact of limited availability on vehicle purchase decisions is largely a function of geographic coverage and consumer perception. In this paper we review previous attempts to quantify the value of availability and present results from two studies that rely upon distinctmethodologies. The first study relies upon stated preference data from a discrete choice survey and the second relies upon a station clustering algorithm and a rational actor value of time framework. Results from the two studies provide an estimate of the discrepancy between stated preference cost penalties and a lower bound on potential revealed cost penalties.
Original language | American English |
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Number of pages | 21 |
State | Published - 2013 |
Event | 31st USAEE/IAEE North American Conference - Austin, Texas Duration: 4 Nov 2012 → 7 Nov 2012 |
Conference
Conference | 31st USAEE/IAEE North American Conference |
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City | Austin, Texas |
Period | 4/11/12 → 7/11/12 |
NREL Publication Number
- NREL/CP-5600-56898
Keywords
- alternative fuel vehicles
- fueling stations
- Lexidyne, LLC
- National Renewable Energy Laboratory (NREL)
- station clustering algorithm
- study
- University of California at Davis