@MISC{Capelle10by, author = {David W. Capelle}, title = {By}, year = {2010} }
Share
OpenURL
Abstract
Global Positioning System receivers are used to monitor the parking behaviour of 76 Winnipeg-area residents to determine the most suitable parking lots in Winnipeg for plug-in hybrid electric vehicle (PHEV) recharge infrastructure. Optimizing the location of this infrastructure will help maximize the environmental benefits of PHEVs while minimizing the economic costs. Using a Geographic Information System (GIS) parking events were superimposed on a high-resolution aerial photograph of the city to identify the most potentially suitable parking lots in the city. A parking lot suitability index was then developed to quantitatively rank parking lots in the city based on the parking events associated with them. Variables derived from these groups of parking events include: 1) the number of unique participants that used the parking lot, 2) the median parking duration, and 3) the ratio of parking events that occur during off-peak vs. on-peak electric demand times. The most suitable parking lot as determined by this index was surprising as it would not be considered a ‘major parking lot ’ by the majority of Winnipeggers, suggesting that this kind of study reveals information about parking lots that would not otherwise be apparent. Thus, future studies are recommended. Such studies would benefit from adapting their methodologies based on the strengths and weaknesses of this study, a discussion of which are provided in the last section of the report. ii