Data driven improvements in public transport: the Dutch example

被引:27
|
作者
van Oort N. [1 ,3 ]
Sparing D. [1 ]
Brands T. [2 ,3 ]
Goverde R.M.P. [1 ]
机构
[1] Delft University of Technology, Stevinweg 1, Delft
[2] University of Twente, Enschede
[3] Goudappel Coffeng, Mobility Consultants, Deventer
关键词
AVL data; Monitoring; Public transport; Service reliability;
D O I
10.1007/s12469-015-0114-7
中图分类号
学科分类号
摘要
Due to reduced budgets, higher political expectations and increasing competition between operators, there is growing pressure on public transport companies and authorities to improve their operational efficiency. It is thus of utter importance for them to be able to identify inefficiencies, bottlenecks and potentials in their public transport service. Recorded operational data, which has quickly become more widespread in the last decade, aids greatly in this process and enables operators and authorities to continually improve. In this paper we identify some of the arising possibilities. We first describe the state of publicly available transit data, with an emphasis on the Dutch situation. Next, the value of insights from Automatic Vehicle Location data is demonstrated by examples. Thereafter, a software tool is presented that enables operators and authorities to quickly perform comprehensive operational analyses, and which was able to identify several bottlenecks when applied in practice. © 2015, The Author(s).
引用
收藏
页码:369 / 389
页数:20
相关论文
共 50 条
  • [41] Data Processing Method for Public Transport Passenger Flow of the "Smart" City
    Boreiko, Oleh
    Teslyuk, Vasyl
    Baran, Mariana
    Navytka, Mariya
    2018 XIVTH INTERNATIONAL CONFERENCE ON PERSPECTIVE TECHNOLOGIES AND METHODS IN MEMS DESIGN (MEMSTECH), 2018, : 61 - 64
  • [42] A Unified Approach to Real-Time Public Transport Data Processing
    Lazur, Juraj
    Hynek, Jiri
    Hruska, Tomas
    GOOD PRACTICES AND NEW PERSPECTIVES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 5, WORLDCIST 2024, 2024, 989 : 86 - 95
  • [44] Using data envelopment analysis as a public transport project appraisal tool
    Caulfield, Brian
    Bailey, Diarmuid
    Mullarkey, Shane
    TRANSPORT POLICY, 2013, 29 : 74 - 85
  • [45] Incident reporting and data monitoring of sexual violence and harassment on public transport
    Hooker, Leesa
    Ison, Jessica
    Forsdike, Kirsty
    Giles, Fiona
    Henry, Nicola
    Taft, Angela
    JOURNAL OF TRANSPORT & HEALTH, 2024, 39
  • [46] Generating public transport data based on population distributions for RDF benchmarking
    Taelman, Ruben
    Colpaert, Pieter
    Mannens, Erik
    Verborgh, Ruben
    SEMANTIC WEB, 2019, 10 (02) : 305 - 328
  • [47] The value of additional data for public transport origin–destination matrix estimation
    Abderrahman Ait-Ali
    Jonas Eliasson
    Public Transport, 2022, 14 : 419 - 439
  • [48] Efficient Live Public Transport Data Sharing for Route Planning on the Web
    Rojas, Julian Andres
    Van Assche, Dylan
    Delva, Harm
    Colpaert, Pieter
    Verborgh, Ruben
    WEB ENGINEERING, ICWE 2020, 2020, 12128 : 321 - 336
  • [49] Personalized predictive public transport crowding information with automated data sources
    Jenelius, Erik
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 117
  • [50] Development of a Common Framework for Analysing Public Transport Smart Card Data
    Zaragozi, Benito
    Trilles, Sergio
    Gutierrez, Aaron
    Miravet, Daniel
    ENERGIES, 2021, 14 (19)