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Examining pedestrian-injury severity using alternative disaggregate models

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  • Abay, Kibrom A.

Abstract

This paper investigates the injury severity of pedestrians considering detailed road user characteristics and alternative model specification using a high-quality Danish road accident data. Such detailed and alternative modeling approach helps to assess the sensitivity of empirical inferences to the choice of these models.

Suggested Citation

  • Abay, Kibrom A., 2013. "Examining pedestrian-injury severity using alternative disaggregate models," Research in Transportation Economics, Elsevier, vol. 43(1), pages 123-136.
    • Handle: RePEc:eee:retrec:v:43:y:2013:i:1:p:123-136
    DOI: 10.1016/j.retrec.2012.12.002
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    References listed on IDEAS

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    1. Stefan Boes & Rainer Winkelmann, 2006. "Ordered Response Models," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 12, pages 167-181, Springer.
    2. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, January.
    4. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, September.
    5. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    6. Abay, Kibrom A. & Paleti, Rajesh & Bhat, Chandra R., 2013. "The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 74-89.
    7. Bhat, Chandra R., 2003. "Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 837-855, November.
    8. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
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    Cited by:

    1. Abay, Kibrom A., 2015. "Investigating the nature and impact of reporting bias in road crash data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 31-45.
    2. Bajada, Thérèse & Attard, Maria, 2021. "A typological and spatial analysis of pedestrian fatalities and injuries in Malta," Research in Transportation Economics, Elsevier, vol. 86(C).
    3. Xu, Xuecai & Huang, Dong & Guo, Fengjun, 2020. "Addressing spatial heterogeneity of injury severity using Bayesian multilevel ordered probit model," Research in Transportation Economics, Elsevier, vol. 80(C).
    4. Maria Rella Riccardi & Filomena Mauriello & Sobhan Sarkar & Francesco Galante & Antonella Scarano & Alfonso Montella, 2022. "Parametric and Non-Parametric Analyses for Pedestrian Crash Severity Prediction in Great Britain," Sustainability, MDPI, vol. 14(6), pages 1-44, March.

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    More about this item

    Keywords

    Pedestrian-injury severity; Ordered and unordered response models; Crime history;
    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

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