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Corporate Contributors:University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
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Edition:Final Report
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Abstract:The goal of this study was to examine the influence of access modes from a commuter’s decision-making process while understanding the characterization at each boarding station. An onboard survey was deployed on Capital Metro’s MetroRail Red Line, revealing access mode patterns and trip purposes for each train station. Then, a binomial logit model was used to determine whether a rider may choose to access the Red Line by walking or driving to the station. This study illustrates a case involving a 32-mile stretch of rail and nine stations where the authors model the commuters’ decision-making process and future trips relating preferences in travel. Whether train passengers decided to walk, bike, ride a bus, or drive with the convenience of locating a park-and-ride facility, data collected based on distances and choice of access mode lead to generalizations of an individual’s preference for their trips.
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