IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v116y2018icp220-231.html
   My bibliography  Save this article

Modeling the endogeneity of lane-mean speeds and lane-speed deviations using a Bayesian structural equations approach with spatial correlation

Author

Listed:
  • Cheng, Wen
  • Gill, Gurdiljot Singh
  • Sakrani, Taha
  • Ralls, Dennis
  • Jia, Xudong

Abstract

This study focused on the development of speed prediction models for a multilane highway which incorporate the potential endogenous relationship between adjacent lane speeds and speed deviations while considering geometric design, traffic flow, and other variables in the model specification and accounting for the correlation structures due to multilevel nature of data. The Full Bayesian framework was employed to build the hierarchical models which accounted for three correlation structures at multiple levels: the correlation between speeds of adjoining lanes due to multivariate nature; spatially structured correlations between the adjacent segments, and spatially unstructured correlations among segments.

Suggested Citation

  • Cheng, Wen & Gill, Gurdiljot Singh & Sakrani, Taha & Ralls, Dennis & Jia, Xudong, 2018. "Modeling the endogeneity of lane-mean speeds and lane-speed deviations using a Bayesian structural equations approach with spatial correlation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 220-231.
  • Handle: RePEc:eee:transa:v:116:y:2018:i:c:p:220-231
    DOI: 10.1016/j.tra.2018.06.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856417304962
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2018.06.014?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. Shankar, Venkataraman & Mannering, Fred, 1998. "Modeling the endogeneity of lane-mean speeds and lane-speed deviations: a structural equations approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(5), pages 311-322, September.
    2. Bhat, Chandra R. & Koppelman, Frank S., 1993. "An endogenous switching simultaneous equation system of employment, income, and car ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(6), pages 447-459, November.
    3. Dane, Gamze & Arentze, Theo A. & Timmermans, Harry J.P. & Ettema, Dick, 2014. "Simultaneous modeling of individuals’ duration and expenditure decisions in out-of-home leisure activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 93-103.
    4. Lord, Dominique & Mannering, Fred, 2010. "The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 291-305, June.
    5. Daniel Eisenberg, 2003. "Evaluating the effectiveness of policies related to drunk driving," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 249-274.
    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. Espadaler-Clapés, Jasso & Barmpounakis, Emmanouil & Geroliminis, Nikolas, 2023. "Empirical investigation of lane usage, lane changing and lane choice phenomena in a multimodal urban arterial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    2. Tremblay, Jean-Michel & Cirillo, Cinzia & Bassani, Marco, 2021. "Updating and transferring Random Effect models: The case of operating speed percentile estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 286-304.

    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. Daniel Albalate, 2013. "The Road against Fatalities: Infrastructure Spending vs. Regulation?," ERSA conference papers ersa13p221, European Regional Science Association.
    2. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2014. "Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 441-473, July.
    3. Najaf, Pooya & Thill, Jean-Claude & Zhang, Wenjia & Fields, Milton Greg, 2018. "City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects," Journal of Transport Geography, Elsevier, vol. 69(C), pages 257-270.
    4. Buddhavarapu, Prasad & Bansal, Prateek & Prozzi, Jorge A., 2021. "A new spatial count data model with time-varying parameters," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 566-586.
    5. Erik Nesson & Vinish Shrestha, 2021. "The effects of false identification laws on underage alcohol‐related traffic fatalities," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2264-2283, September.
    6. French, Michael T. & Gumus, Gulcin & Homer, Jenny F., 2009. "Public policies and motorcycle safety," Journal of Health Economics, Elsevier, vol. 28(4), pages 831-838, July.
    7. Khondoker Billah & Qasim Adegbite & Hatim O. Sharif & Samer Dessouky & Lauren Simcic, 2021. "Analysis of Intersection Traffic Safety in the City of San Antonio, 2013–2017," Sustainability, MDPI, vol. 13(9), pages 1-18, May.
    8. Christopher S. Carpenter & Carlos Dobkin & Casey Warman, 2016. "The Mechanisms of Alcohol Control," Journal of Human Resources, University of Wisconsin Press, vol. 51(2), pages 328-356.
    9. Coifman, Benjamin A. & Mallika, Ramachandran, 2007. "Distributed surveillance on freeways emphasizing incident detection and verification," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 750-767, October.
    10. Arun Kuppam & Ram Pendyala, 2001. "A structural equations analysis of commuters' activity and travel patterns," Transportation, Springer, vol. 28(1), pages 33-54, February.
    11. Bo Yang & Yao Wu & Weihua Zhang & Jie Bao, 2020. "Modeling Collision Probability on Freeway: Accounting for Different Types and Severities in Various LOS," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    12. Bae, Bumjoon & Seo, Changbeom, 2022. "Do public-private partnerships help improve road safety? Finding empirical evidence using panel data models," Transport Policy, Elsevier, vol. 126(C), pages 336-342.
    13. Bhat, Chandra R. & Singh, Sujit K., 2000. "A comprehensive daily activity-travel generation model system for workers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(1), pages 1-22, January.
    14. Jason M. Lindo & Peter Siminski & Oleg Yerokhin, 2016. "Breaking The Link Between Legal Access To Alcohol And Motor Vehicle Accidents: Evidence From New South Wales," Health Economics, John Wiley & Sons, Ltd., vol. 25(7), pages 908-928, July.
    15. Chunguang Liu & Xinyu Zuo & Xiaoning Gu & Mengru Shao & Chao Chen, 2023. "Activity Duration under the COVID-19 Pandemic: A Comparative Analysis among Different Urbanized Areas Using a Hazard-Based Duration Model," Sustainability, MDPI, vol. 15(12), pages 1-28, June.
    16. Svetlana BAČKALIĆ & Dragan JOVANOVIĆ & Todor BAČKALIĆ & Boško MATOVIĆ & Miloš PLJAKIĆ, 2019. "The Application Of Reliability Reallocation Model In Traffic Safety Analysis On Rural Roads," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 14(1), pages 115-125, April.
    17. Chih-Wen Yang & Cheng-Lung (Richard) Wu & Jin-Long Lu, 2021. "Exploring the interdependency and determinants of tourism participation, expenditure, and duration: An analysis of Taiwanese citizens traveling abroad," Tourism Economics, , vol. 27(4), pages 649-669, June.
    18. Izdebski, Mariusz & Jacyna-Gołda, Ilona & Gołda, Paweł, 2022. "Minimisation of the probability of serious road accidents in the transport of dangerous goods," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    19. Dong, Chunjiao & Shao, Chunfu & Clarke, David B. & Nambisan, Shashi S., 2018. "An innovative approach for traffic crash estimation and prediction on accommodating unobserved heterogeneities," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 407-428.
    20. Renfei Wu & Xunjia Zheng & Yongneng Xu & Wei Wu & Guopeng Li & Qing Xu & Zhuming Nie, 2019. "Modified Driving Safety Field Based on Trajectory Prediction Model for Pedestrian–Vehicle Collision," Sustainability, MDPI, vol. 11(22), pages 1-15, November.

    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:116:y:2018:i:c:p:220-231. 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.