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Automatic recognition of “low-quality” vehicles and bus stops in bus services

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  • Benedetto Barabino

    (CTM SpA
    University of Cagliari)

Abstract

A recent interest in transit service analysis resulted in advances in the monitoring of public transport quality from the passenger’s viewpoint. Several frameworks were proposed to show where and when different quality levels occur, but there has been no focus on determining which vehicles and bus stops lead to low-quality performance in bus services. This paper proposes a framework that: (i) performs a simple data collection on selected parameters on passenger activities at bus stops (e.g., consulting posted information) and in-vehicle (e.g., validating the ticket). This data collection is performed by Secret Shoppers on Origin-Destination pairs representing paths travelled by passengers, (ii) proposes two new algorithms detecting criticalities for each route and parameter, and (iii) shows the vehicles and bus stops for which some targets are not met. These steps result in the first framework that can help build operational plans guiding the correction of criticalities arising in the delivered bus services. This framework is deeply investigated and discussed in a real-life Italian case.

Suggested Citation

  • Benedetto Barabino, 2018. "Automatic recognition of “low-quality” vehicles and bus stops in bus services," Public Transport, Springer, vol. 10(2), pages 257-289, August.
    • Handle: RePEc:spr:pubtra:v:10:y:2018:i:2:d:10.1007_s12469-018-0180-8
    DOI: 10.1007/s12469-018-0180-8
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    References listed on IDEAS

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    Cited by:

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    3. Gaele Lesteven & Dramane Cissokho & Pascal Pochet & Momar Diongue & Pape Sakho, 2022. "Daily Mobility in Urban Peripheries: The Role of Clandestine Taxis in Dakar, Senegal," Sustainability, MDPI, vol. 14(11), pages 1-15, June.
    4. Agnieszka A. Tubis & Emilia T. Skupień & Mateusz Rydlewski, 2021. "Method of Assessing Bus Stops Safety Based on Three Groups of Criteria," Sustainability, MDPI, vol. 13(15), pages 1-27, July.
    5. Weiya Chen & Zixuan Kang & Xiaoping Fang & Jiajia Li, 2020. "Design a Semantic Scale for Passenger Perceived Quality Surveys of Urban Rail Transit: Within Attribute’s Service Condition and Rider’s Experience," Sustainability, MDPI, vol. 12(20), pages 1-21, October.

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