IDEAS home Printed from https://ideas.repec.org/p/hhs/vtiwps/2020_008.html
   My bibliography  Save this paper

Analysis of daily variation in bus occupancy rates for city-buses in Uppsala and optimal supply

Author

Listed:
  • Pyddoke, Roger

    (Swedish National Road & Transport Research Institute (VTI))

Abstract

Recently several papers have analyzed optimal supply of public transport in the sense of optimal prices, frequencies, bus sizes, spacing of bus stops for a public transport authority facing a certain static demand for trips. This paper is motivated by the observation that demand for bus services varies between weekdays even for the same departure analyzes the magnitude of this variation and its implications for optimal supply. This analysis was enabled by the relatively recent adaption of technologies for counting passengers boarding and alighting and motivated by the relatively few published studies of such data. This paper therefore uses calculated rates between bus stops in the Swedish city Uppsala, and analyses the average variation in geography, between directions and between the same departure times and directions. The central results are that; there are parts of lines with systematically higher and lower occupancy rate than average without corresponding supply adaptions, there is substantial variance in the occupancy on buses leaving the same bus stop at the same time on week days, and welfare optimization indicates that providing capacity to cover maximum observed demand with seats in buses is not necessarily optimal.

Suggested Citation

  • Pyddoke, Roger, 2020. "Analysis of daily variation in bus occupancy rates for city-buses in Uppsala and optimal supply," Working Papers 2020:8, Swedish National Road & Transport Research Institute (VTI).
  • Handle: RePEc:hhs:vtiwps:2020_008
    as

    Download full text from publisher

    File URL: https://www.transportportal.se/VTISWoPEc/VTI%202020%208.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Asplund, Disa & Pyddoke, Roger, 2020. "Optimal fares and frequencies for bus services in a small city," Research in Transportation Economics, Elsevier, vol. 80(C).
    2. Cats, Oded & West, Jens & Eliasson, Jonas, 2016. "A dynamic stochastic model for evaluating congestion and crowding effects in transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 43-57.
    3. Tirachini, Alejandro & Hensher, David A. & Rose, John M., 2014. "Multimodal pricing and optimal design of urban public transport: The interplay between traffic congestion and bus crowding," Transportation Research Part B: Methodological, Elsevier, vol. 61(C), pages 33-54.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Asplund, Disa, 2021. "Optimal frequency of public transport in a small city: examination of a simple method," Working Papers 2021:9, Swedish National Road & Transport Research Institute (VTI).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Svanberg , Lisa & Pyddoke, Roger, 2020. "Policies for on-board crowding in public transportation : a literature review," Working Papers 2020:6, Swedish National Road & Transport Research Institute (VTI).
    2. Luan, Xiaojie & Corman, Francesco, 2022. "Passenger-oriented traffic control for rail networks: An optimization model considering crowding effects on passenger choices and train operations," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 239-272.
    3. Sadrani, Mohammad & Tirachini, Alejandro & Antoniou, Constantinos, 2022. "Vehicle dispatching plan for minimizing passenger waiting time in a corridor with buses of different sizes: Model formulation and solution approaches," European Journal of Operational Research, Elsevier, vol. 299(1), pages 263-282.
    4. Tian, Qiong & Liu, Peng & Ong, Ghim Ping & Huang, Hai-Jun, 2021. "Morning commuting pattern and crowding pricing in a many-to-one public transit system with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    5. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    6. Börjesson, Maria & Fung, Chau Man & Proost, Stef & Yan, Zifei, 2018. "Do buses hinder cyclists or is it the other way around? Optimal bus fares, bus stops and cycling tolls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 326-346.
    7. Vigren, Andreas & Pyddoke, Roger, 2020. "The impact on bus ridership of passenger incentive contracts in public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 144-159.
    8. Batarce, Marco & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2016. "Valuing crowding in public transport: Implications for cost-benefit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 358-378.
    9. Dantsuji, Takao & Takayama, Yuki & Fukuda, Daisuke, 2023. "Perimeter control in a mixed bimodal bathtub model," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 267-291.
    10. Paraskevopoulos, Dimitris C. & Gürel, Sinan & Bektaş, Tolga, 2016. "The congested multicommodity network design problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 166-187.
    11. Börjesson, Maria & Fung, Chau Man & Proost, Stef & Yan, Zifei, 2017. "Cycling tolls and optimal number of bus stops: the importance of congestion and crowding," Working papers in Transport Economics 2017:10, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    12. Hörcher, Daniel & Graham, Daniel J., 2018. "Demand imbalances and multi-period public transport supply," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 106-126.
    13. Sun, Yanshuo & Gong, Hengye & Guo, Qianwen & Schonfeld, Paul & Li, Zhongfei, 2020. "Regulating a public transit monopoly under asymmetric cost information," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 496-522.
    14. Bing-Zheng Liu & Ying-En Ge & Kai Cao & Xi Jiang & Lingyun Meng & Ding Liu & Yunfeng Gao, 2017. "Optimizing a desirable fare structure for a bus-subway corridor," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-21, October.
    15. Jean-Philippe Meloche & Vincent Trotignon & François Vaillancourt, 2021. "Densification ou prolongement des réseaux de transport structurants ? Une recension des écrits sur les coûts et les bénéfices attendus," CIRANO Project Reports 2020rp-28, CIRANO.
    16. Jingfeng Yuan & Wenying Ji & Jiyue Guo & Mirosław J. Skibniewski, 2019. "Simulation-based dynamic adjustments of prices and subsidies for transportation PPP projects based on stakeholders’ satisfaction," Transportation, Springer, vol. 46(6), pages 2309-2345, December.
    17. Li, Manzi & Jiang, Gege & Lo, Hong K., 2022. "Pricing strategy of ride-sourcing services under travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    18. Asplund, Disa & Pyddoke, Roger, 2020. "Optimal fares and frequencies for bus services in a small city," Research in Transportation Economics, Elsevier, vol. 80(C).
    19. Junya Kumagai & Mihoko Wakamatsu & Shunsuke Managi, 2021. "Do commuters adapt to in-vehicle crowding on trains?," Transportation, Springer, vol. 48(5), pages 2357-2399, October.
    20. Cats, Oded, 2017. "Topological evolution of a metropolitan rail transport network: The case of Stockholm," Journal of Transport Geography, Elsevier, vol. 62(C), pages 172-183.

    More about this item

    Keywords

    Public transport; Bus; Occupancy; Load factor; Variation in time and space;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:vtiwps:2020_008. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Biblioteket vid VTI or Emil Svensson or Claes Eriksson or Tova Äng (email available below). General contact details of provider: https://edirc.repec.org/data/tevtise.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.