All use subject to http://about.jstor.org/terms uation in which so many "textbook" techniques can be applied. The only pieces of background material that do lie outside the standard undergraduate curriculum are the principles from Morse theory alluded to earlier, so these are introduced and explained
A growing number of researchers and transit agencies are using fare card and vehicle location data to infer passengers’ origins, destinations, and transfers. A number of researchers have suggested that these new data sets provide valuable information for transit network design, but few concrete applications have been developed to address bus network design and service planning problems. This paper proposes new service planning procedures to aggregate these automated data to examine travel patterns to specific locations of interest to propose needed improvements. The data from existing passengers’ trips are then analyzed to assess the benefits of the proposed service changes. In particular, the number of existing passengers who would likely experience shorter travel times with the service changes is calculated according to the geometry of how a proposed new or extended route intersects with the existing transit network. The results of this analysis provide planners with better information than is currently available to support decisions on how to allocate the scarce resources typically available for service changes. Several case studies from the Massachusetts Bay Transportation Authority are presented to illustrate these analytical techniques.
All use subject to http://about.jstor.org/terms uation in which so many "textbook" techniques can be applied. The only pieces of background material that do lie outside the standard undergraduate curriculum are the principles from Morse theory alluded to earlier, so these are introduced and explained
Headway management can potentially reduce passenger waiting time and on-board crowding on high-frequency services. In this study, a headway control experiment was conducted and evaluated for Washington Metropolitan Area Transit Agency routes 70 and 79 in Washington, D.C. The field experiment is evaluated by performing a before–after empirical evaluation. The organizational process and challenges involved with the implementation are discussed. Overall, a reduction of 26% in passenger excess waiting time was attained, which implies annual time savings that translate into US$1 million. Even though the field experiment implementation was far from ideal, the benefits obtained so far might pave the road to a long-term commitment to shift into a fully controlled headway-based management.
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