The paper aims at building the origin-destination matrix from the check in data collected in the extra-urban area of Torino (Italy), where thousands of people commute everyday using smart-cards to validate their travel documents while boarding. To this end, the methodological approach relied on a survey along three months to record smart-card validations. Peak and off-peak periods have been defined according to the validation frequency and a users’ segmentation according to age intervals has been implemented. Then, the origin-destination matrix has been estimated using the time interval between two validations to outline the different legs of the journey. Finally, the transport demand has been matched with the existing services showing which areas were not properly covered by public transport. The results of this research would assist public transport operators and local authorities in the design of a more suitable transport supply in accordance with users’ needs.
ANALYSIS OF MOBILITY PATTERNS AND TRANSPORT SUPPLY THROUGH THE VALIDATION DATA OF SMART CARDS / Pronello, C.; Longhi, Davide. - STAMPA. - (2017), pp. 617-624. (Intervento presentato al convegno Hong Kong Society for Transportation Studies 2017 tenutosi a Hiong Kong nel 9-11 December 2017).
ANALYSIS OF MOBILITY PATTERNS AND TRANSPORT SUPPLY THROUGH THE VALIDATION DATA OF SMART CARDS
Pronello, C.;LONGHI, DAVIDE
2017
Abstract
The paper aims at building the origin-destination matrix from the check in data collected in the extra-urban area of Torino (Italy), where thousands of people commute everyday using smart-cards to validate their travel documents while boarding. To this end, the methodological approach relied on a survey along three months to record smart-card validations. Peak and off-peak periods have been defined according to the validation frequency and a users’ segmentation according to age intervals has been implemented. Then, the origin-destination matrix has been estimated using the time interval between two validations to outline the different legs of the journey. Finally, the transport demand has been matched with the existing services showing which areas were not properly covered by public transport. The results of this research would assist public transport operators and local authorities in the design of a more suitable transport supply in accordance with users’ needs.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2700353