Journal
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
Volume 90, Issue -, Pages 350-365Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2018.03.007
Keywords
Linked trip; OD matrix; ODX; AFC; AVL; Multimodal; Passenger journey; Transit
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Previous research has combined automated fare-collection (AFC) and automated vehicle-location (AVL) data to infer the times and locations of passenger origins, interchanges (transfers), and destinations on multimodal transit networks. The resultant origin-interchange-destination flows (and the origin-destination (OD) matrices that comprise those flows), however, represent only a sample of total ridership, as they contain only those journeys made using the AFC payment method that have been successfully recorded or inferred. This paper presents a method for scaling passenger-journey flows (i.e., linked-trip flows) using additional information from passenger counts at each station gate and bus farebox, thereby estimating the flows of non-AFC passengers and of AFC passengers whose journeys were not successfully inferred. The proposed method is applied to a hypothetical test network and to AFC and AVL data from London's multimodal public transit network. Because London requires AFC transactions upon both entry and exit for rail trips, a rail-only OD matrix is extracted from the estimated multi modal linked-trip flows, and is compared to a rail OD matrix generated using the iterative proportional fitting method.
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