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Title: USER BEHAVIOR EVALUATION OF AN INTELLIGENT SHARED ELECTRIC VEHICLE SYSTEM
Accession Number: 00820024
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Critical to any new transportation system technology is how users respond to the new technology or system. Various intelligent transportation system studies and demonstrations have shown that the greatest likelihood for success comes when users adjust their behavior and embrace the system. However, user behavior is often difficult to predict and is often overlooked as a critical component when introducing new transportation systems or technology. To better understand user behavior in shared vehicle systems, an intelligent shared electric vehicle system test bed has been developed at the University of California-Riverside (UCR), named UCR IntelliShare. Faculty and staff use this system, consisting of 15 shared electric vehicles and three stations, for their daily travel needs. The system technology includes smart cards, touch-screen registration kiosks, vehicle monitoring and tracking hardware, and sophisticated management software. With this test bed system, researchers can develop and implement new operating techniques, perform experiments in travel demand management, collect data for supporting models, and quantify the energy and emissions savings associated with the system. The user behavior aspect of the system is the focus of this study. Much information has been collected through user surveys and operational analysis. The surveys have provided good insight on user satisfaction and on how the system is used. The operational analysis has brought forth key results on trip characteristics and travel demand patterns. Initial results indicate that the UCR IntelliShare system may be temporarily producing approximately 15% more trips. Other results indicate that trips between stations are fairly well matched, requiring few relocations. Further, day-by-day travel patterns are relatively consistent; however, approximately 14% of the travel patterns deviate significantly. These results, along with calibrated simulation models, can be used to help design other shared vehicles systems before implementation, potentially reducing associated risks and liabilities.
Supplemental Notes: This paper appears in Transportation Research Record No. 1760, Transit: Bus Transit and Maintenance, Paratransit, and New Technology.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Barth, MatthewTodd, MPagination: p. 145-152
Publication Date: 2001
Serial: ISBN: 0309072220
Features: Figures
(7)
; References
(10)
TRT Terms: Identifier Terms: Uncontrolled Terms: Subject Areas: Administration and Management; Energy; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation
Files: TRIS, TRB
Created Date: Nov 14 2001 12:00AM
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