B Barabino, M Di Francesco, R Ventura - Transportation Research …, 2023 - Elsevier
Abstract In Proof-of-Payment Transit Systems (POP-TSs), fare evasion is a crucial issue for Transit Agencies (TAs) and/or Public Transport Companies (PTCs) worldwide. The related …
B Barabino, M Carra, G Currie - Journal of Public Transportation, 2024 - Elsevier
In proof-of-payment transit systems worldwide, fare inspection is the most widely adopted strategy against fare evasion from transit authorities and public transport companies …
J Celse, G Grolleau - Transport Policy, 2023 - Elsevier
To fight fare evasion, Public Transport Companies (PTC) mainly use two strategies: increasing inspection to detect fare evaders and enforcing fines incurred in case of being …
C Busco, F González, Y Jaqueih, F Jiménez… - Journal of Public …, 2022 - Elsevier
abstract Transantiago, the public transport system implemented in Santiago, Chile, remains a controversial subject of public debate due to constantly increasing fare evasion rates …
C Busco, F González, S San Martín - Travel Behaviour and Society, 2024 - Elsevier
This research presents a paradigmatic case study of fare evasion in the Chilean public transport system. It identifies the perceptions of different stakeholders who interact within this …
B Barabino, S Salis - Transportation Research Interdisciplinary …, 2020 - Elsevier
In proof-of-payment transit systems, fare evasion has recently captured increasing attention because of the relevant implications it produces. Research has investigated how …
R Ramos, HE Silva - Transportation Research Part B: Methodological, 2023 - Elsevier
Fare evasion produces significant revenue losses in public transport systems. Recent research has found that low service quality and high prices are important determinants of …
This study analyzes the scheduling of unpredictable fare inspections in proof-of-payment transit systems, where the transit operator chooses a collection of patrol paths (one for each …
B Barabino, S Salis - Public Transport, 2023 - Springer
In this study, a tandem clustering is applied on data collected by an Italian public transport company. Three clusters of evader passengers are discovered. Next, for each cluster, the …