Smart Card Data Mining to Analyze Mobility Patterns in Suburban Areas

Cristina Pronello, Davide Longhi and Jean-Baptiste Gaborieau
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Cristina Pronello: Département Génie des Systèmes Urbains (GSU) & EA 7284 AVENUES, Sorbonne Universités—Université de Technologie de Compiègne, 60200 Compiègne, France
Davide Longhi: Dipartimento Interateneo di Scienze, Progetto e Politiche del Territorio, Politecnico di Torino, 10125 Torino, Italy
Jean-Baptiste Gaborieau: Dipartimento Interateneo di Scienze, Progetto e Politiche del Territorio, Politecnico di Torino, 10125 Torino, Italy

Sustainability, 2018, vol. 10, issue 10, 1-21

Abstract: This paper aims to define an algorithm capable of building the origin-destination matrix from check-in data collected in the extra-urban area of Torino, Italy, where thousands of people commute every day, using smart cards to validate their travel documents while boarding. To this end, the methodological approach relied on a survey over three months to record smart-card validations. Peak and off-peak periods have been defined according to validation frequency. Then, the origin-destination matrix has been estimated using the time interval between two validations to outline the different legs of the journey. Finally, transport demand has been matched with existing bus services, showing which areas were not adequately covered by public transport. The results of this research could assist public transport operators and local authorities in the design of a more suitable transport supply and mobility services in accordance with user needs. Indeed, tailoring public transport to user needs attracts both more customers and latent demand, reducing reliance on cars and making transport more sustainable.

Keywords: public transport; sustainable transport; AFCS (automated fare collection systems); smart-card; algorithm; origin-destination estimation; transport demand and supply (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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