Highlights A sequential choice model is proposed for transit path choice modeling with smart card data. The model uses a link-based formulation and includes all path/hyperpath alternatives without enumeration. Extends the conventional notion of “attractive sets” by introducing a measure of “attractiveness” that allows for randomness in the choice of attractive routes. Developed and tested a bi-level maximum likelihood estimation for calibration.
Abstract A recursive logit model is proposed for path choice modeling with transit smart card data in higher-frequency bus and rail services. In such circumstances, it is commonly assumed that passengers may arrive randomly to a stop and may behave according to a “strategy”; such a strategy is associated with a so-called “attractive” set of routes: a passenger selects a set of routes departing from the stop, and will board the next vehicle to depart from among that set of routes. We extend the conventional notion of attractive sets by introducing a measure of “attractiveness” that allows for randomness in the choice of attractive routes. The proposed model uses a link-based (recursive, or sequential choice) formulation, rather than a path-based formulation, which has the advantage of including all path alternatives without the need for path set enumeration. The recursive formulation is also very suitable for smart card data because it allows model calibration with incomplete path choice observations. The link-based approach was originally advocated by in the strategy-based transit assignment context, but without investigating methods for model calibration or empirical analysis. Recently, and have presented methods to empirically estimate traffic path choice models using a link-based formulation. Our framework builds off these previous works to formulate and estimate a strategy-based path choice model with smart card data. The proposed model is tested with a 6 months extract from the smart card transactions in Brisbane, Australia, for two popular origin-destination pairs with diverse path alternatives.
A strategy-based recursive path choice model for public transit smart card data
Transportation Research Part B: Methodological ; 126 ; 528-548
2018-01-02
21 pages
Article (Journal)
Electronic Resource
English
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