Highlights This paper presents a methodology to correct OD matrices obtained from smartcard data, which in presence of fare evasion are incomplete and may be biased. We distinguish partial fare evasion (only one trip stage) from complete trip fare evasion. The application shows that complete trip fare evasion is more relevant than partial fare evasion in Santiago de Chile. This is a first step of a work that can be enriched considering other types of fare evasion and other data sources.

    Abstract Origin-Destination matrices obtained from smartcard data are very valuable because they contain vast amounts of information and can be obtained at a very low cost. However, they can only account for trips paid by smartcard. Trips paid by other means, as well as non-paid trips, must be incorporated using additional information. This paper discusses the biases that are introduced due to fare evasion and presents a sequential method to estimate correction factors due to partial evasion in some trip stages, as well as total fare evasion in all trip stages, using external information regarding trips not registered in the smartcard database. We apply this method to the case of Santiago, Chile, where partial evasion (during a bus trip stage prior to a Metro trip stage) and total evasion (during all bus-only trip stages) are relevant fare evasion situations. Information from the Santiago Metro Origin-Destination survey and from external fare evasion measurements is used. The results indicate a 5% partial evasion rate for bus trip stages prior to Metro trip stages, and a 37% total fare evasion rate for bus-only trips. This paper is a contribution towards establishing new methods to feasibly obtain OD matrices through the adequate merging of automatically-collected data with complementary traditional measurements and survey instruments.


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    Title :

    Fare evasion correction for smartcard-based origin-destination matrices


    Contributors:


    Publication date :

    2020-09-14


    Size :

    16 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English