National Institute for Transportation and Communities

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Summary: Electric bicycles (e-bikes) are well established in China and other Asian and European countries but have yet to realize their potential in the United States, although recently the number of e-bikes has been growing. Research on the economic, operational, and safety issues of e-bikes in the U.S. is limited. This research aims in part to understand if different bicycling technology, in this case electric assist bicycles or e-bikes, can reduce barriers to bicycling and encourage more bike trips and longer bike trips, and increase the diversity of people bicycling, including people with a disability or chronic injury to bicycle. Some of these barriers include trip distance, topography, time, and rider effort. E-bikes typically resemble a standard pedal bicycle with the addition of a rechargeable battery and electric motor to assist the rider with propulsion. To answer these questions, we conducted an online survey of existing e-bike users on their purchase and use decisions. Results from 553 e-bike users across North America are analyzed here. Results suggest that e-bikes are enabling users to bike more often, to more distant locations, and to carry more cargo with them. Additionally, e-bikes allow people who would otherwise not be able...

The video begins at 1:47.

Abstract: In transportation planning and engineering, market segments or groups of individuals with varying attitudes and travel behavior are often identified in order to define a set of policies and strategies targeted at each segment. Examples include residential location choice studies, electric vehicle adoption and the marketing of public transit options. Defining market segments is common in the marketing literature, typically based on observed socioeconomic characteristics, such as gender and income. However, in addition to these characteristics, travelers may also be segmented based on variations in their observed travel and activity patterns. The activity-based approach to travel demand analysis acknowledges the need to analyze the travel patterns of individuals, conceptualized as a trip chain or tour, as opposed to individual trip segments. This has implications for identifying markets segments based on travel patterns which needs to distinguish between the sequencing and timing of travel choices and activities, in addition to the actual travel choices and activities. One approach that holds promise is pattern recognition theory which has wide applications in image analysis, speech recognition and physiological signal processing. In this study, pattern recognition methods are applied to observed daily travel and activity patterns from Oregon to identify travel market...