IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v117y2018icp39-43.html
   My bibliography  Save this article

Unobserved heterogeneity analysis of rail transit incident delays

Author

Listed:
  • Agbelie, Bismark
  • Libnao, Kathleen

Abstract

Passenger rail transit systems are frequently subjected to disruptions from incidents resulting in increased passenger waiting times, and loss of revenue to operators. The objective of the present study is to investigate the impacts of rail transit-related factors on the duration of delay, if an incident takes place. In order to account for the unobserved heterogeneity for each factor and the data generation process, a random-parameters hazard-based duration approach that accounts for these heterogeneities was employed in the present study. Out of the fourteen estimated parameters found to be statistically significant at the 1% significance level, seven parameters were found to vary across observations. This indicates that if the model was restricted and only fixed parameters were estimated, the inferences from the seven random parameters will not be accurate.

Suggested Citation

  • Agbelie, Bismark & Libnao, Kathleen, 2018. "Unobserved heterogeneity analysis of rail transit incident delays," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 39-43.
    • Handle: RePEc:eee:transa:v:117:y:2018:i:c:p:39-43
    DOI: 10.1016/j.tra.2018.07.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856418304282
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2018.07.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kavalec, Chris & Setiawan, Winardi, 1997. "An analysis of accelerated vehicle retirement programs using a discrete choice personal vehicle model," Transport Policy, Elsevier, vol. 4(2), pages 95-107, April.
    2. Gudmundsson, Sveinn Vidar & Rhoades, Dawna L., 2001. "Airline alliance survival analysis: typology, strategy and duration," Transport Policy, Elsevier, vol. 8(3), pages 209-218, July.
    3. Gorman, Michael F., 2009. "Statistical estimation of railroad congestion delay," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(3), pages 446-456, May.
    4. Agbelie, Bismark R.D.K., 2014. "An empirical analysis of three econometric frameworks for evaluating economic impacts of transportation infrastructure expenditures across countries," Transport Policy, Elsevier, vol. 35(C), pages 304-310.
    5. Hensher, David A. & Li, Zheng, 2010. "Accounting for differences in modelled estimates of RP, SP and RP/SP direct petrol price elasticities for car mode choice: A warning," Transport Policy, Elsevier, vol. 17(3), pages 191-195, May.
    6. Yuan, Jianxin & Hansen, Ingo A., 2007. "Optimizing capacity utilization of stations by estimating knock-on train delays," Transportation Research Part B: Methodological, Elsevier, vol. 41(2), pages 202-217, February.
    7. Meester, Ludolf E. & Muns, Sander, 2007. "Stochastic delay propagation in railway networks and phase-type distributions," Transportation Research Part B: Methodological, Elsevier, vol. 41(2), pages 218-230, February.
    8. Olsson, Nils O.E. & Haugland, Hans, 2004. "Influencing factors on train punctuality--results from some Norwegian studies," Transport Policy, Elsevier, vol. 11(4), pages 387-397, October.
    9. Gilbert, Carol C. S., 1992. "A duration model of automobile ownership," Transportation Research Part B: Methodological, Elsevier, vol. 26(2), pages 97-114, April.
    Full references (including those not matched with items on IDEAS)

    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. Chao Wen & Weiwei Mou & Ping Huang & Zhongcan Li, 2020. "A predictive model of train delays on a railway line," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 470-488, April.
    2. Thomas Spanninger & Beda Büchel & Francesco Corman, 2023. "Train Delay Predictions Using Markov Chains Based on Process Time Deviations and Elastic State Boundaries," Mathematics, MDPI, vol. 11(4), pages 1-23, February.
    3. Huang, Ping & Wen, Chao & Fu, Liping & Lessan, Javad & Jiang, Chaozhe & Peng, Qiyuan & Xu, Xinyue, 2020. "Modeling train operation as sequences: A study of delay prediction with operation and weather data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    4. Krier, Betty & Liu, Chia-Mei & McNamara, Brian & Sharpe, Jerrod, 2014. "Individual freight effects, capacity utilization, and Amtrak service quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 163-175.
    5. Harshad Khadilkar, 2017. "Data-Enabled Stochastic Modeling for Evaluating Schedule Robustness of Railway Networks," Transportation Science, INFORMS, vol. 51(4), pages 1161-1176, November.
    6. Nan Cao & Tao Tang & Chunhai Gao, 2020. "A Study of Hindrance-Caused Unscheduled Waiting Time in Railway Systems," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    7. Andreas Økland & Nils O. E. Olsson, 2021. "Punctuality development and delay explanation factors on Norwegian railways in the period 2005–2014," Public Transport, Springer, vol. 13(1), pages 127-161, March.
    8. Huang, Ping & Guo, Jingwei & Liu, Shu & Corman, Francesco, 2024. "Explainable train delay propagation: A graph attention network approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    9. Tiong, Kah Yong & Ma, Zhenliang & Palmqvist, Carl-William, 2023. "Analyzing factors contributing to real-time train arrival delays using seemingly unrelated regression models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    10. Yamamoto, Toshiyuki & Madre, Jean-Loup & Kitamura, Ryuichi, 2004. "An analysis of the effects of French vehicle inspection program and grant for scrappage on household vehicle transaction," Transportation Research Part B: Methodological, Elsevier, vol. 38(10), pages 905-926, December.
    11. Jovanović, Predrag & Kecman, Pavle & Bojović, Nebojša & Mandić, Dragomir, 2017. "Optimal allocation of buffer times to increase train schedule robustness," European Journal of Operational Research, Elsevier, vol. 256(1), pages 44-54.
    12. Liu, Xiaowei & Peng, Qiyuan & Du, Bo & Zhang, Yongxiang & Zhong, Qingwei & Yan, Xu, 2024. "An influence path analytic study for the operational performance of large passenger railway stations: The China case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 188(C).
    13. Jie Lin & Cynthia Chen & Debbie Niemeier, 2008. "An analysis on long term emission benefits of a government vehicle fleet replacement plan in northern illinois," Transportation, Springer, vol. 35(2), pages 219-235, March.
    14. Viviana P. Fernandez, 2000. "Decisions To Replace Consumer Durables Goods: An Econometric Application Of Wiener And Renewal Processes," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 452-461, August.
    15. Zolnik, Edmund J., 2012. "Estimates of statewide and nationwide carbon dioxide emission reductions and their costs from Cash for Clunkers," Journal of Transport Geography, Elsevier, vol. 24(C), pages 271-281.
    16. Leachman, Robert C. & Jula, Payman, 2012. "Estimating flow times for containerized imports from Asia to the United States through the Western rail network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 296-309.
    17. Shamsa Kanwal & Abdul Hameed Pitafi & Muhammad Yousaf Malik & Naseer Abbas Khan & Rao Muhammad Rashid, 2020. "Local Pakistani Citizens’ Benefits and Attitudes Toward China–Pakistan Economic Corridor Projects," SAGE Open, , vol. 10(3), pages 21582440209, July.
    18. Li, Zheng & Hensher, David A. & Rose, John M., 2011. "Identifying sources of systematic variation in direct price elasticities from revealed preference studies of inter-city freight demand," Transport Policy, Elsevier, vol. 18(5), pages 727-734, September.
    19. Kim, Myeonghyeon & Bae, Jiheon, 2021. "Modeling the flight departure delay using survival analysis in South Korea," Journal of Air Transport Management, Elsevier, vol. 91(C).
    20. Franciszek Restel & Łukasz Wolniewicz & Matea Mikulčić, 2021. "Method for Designing Robust and Energy Efficient Railway Schedules," Energies, MDPI, vol. 14(24), pages 1-12, December.

    More about this item

    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:eee:transa:v:117:y:2018:i:c:p:39-43. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.