Estimation of Origin-Destination matrices under Automatic Fare Collection: the case study of Porto transportation system

Joana Hora · Teresa Galvão Dias · Ana Santos Camanho · Thiago Sobral

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Transportation Planning and Optimization Human Mobility and Location-Based Analysis Urban Transport Systems Analysis

Abstract

Entry-only Automatic Fare Collection (AFC) systems are widely used in urban transports. Its main advantages include easy usability by passengers, improvement of the efficiency of revenue management, adequacy to integrate inter-modality approaches, easy cooperation between operators, systematic data collection and gathering tools, contributing to improve the planning process. This work starts with the literature review on applications of the Trip-Chaining Method (TCM) to the estimation of Origin-Destination (OD) matrices using entry-only AFC data. The main contribution of this study is to provide an OD matrix for the city of Porto, allowing to improve the quality of its public transport system. The paper reports the implementation of the TCM to estimate the alighting locations at the disaggregated level in the case study of Porto. The main assumptions adopted are: passengers start the next journey stage at or near the alighting location of their previous trip, passengers end the last trip of the day at the boarding location of the first trip of the day, passengers can only alight in the sequence of stops not yet traveled by the route / direction they boarded, passengers have a maximum interchange distance, above which the destination of that journey stage is not inferred.

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References

2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile 2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System 2007Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems 2002Origin and Destination Estimation in New York City with Automated Fare System Data 2011Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems 2013Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data 2016Validating and improving public transport origin–destination estimation algorithm using smart card fare data 2011Transit Stop-Level Origin–Destination Estimation through Use of Transit Schedule and Automated Data Collection System

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2018Horizontal cooperation in a multimodal public transport system: The profit allocation problem 2021Minimum entropy rate-improved trip-chain method for origin–destination estimation using smart card data 2021The value of additional data for public transport origin–destination matrix estimation 2019

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