Identifying key patterns in motorcycle crashes: findings from taxicab correspondence analysis

References

• Benzećri, J. P. 1992. Correspondence Analysis Handbook. Boca Raton, FL: CRC Press.
   Google Scholar
• Chawla, H., I. Karaca, and P. Savolainen. 2019. “Contrasting Crash- and Non-Crash-Involved Riders: Analysis of Data from the Motorcycle Crash Causation Study.” Transportation Research Record: Journal of the Transportation Research Board 2673 (7): 122–131.
   Web of Science ®Google Scholar
• Cheng, W., G. S. Gill, T. Sakrani, M. Dasu, and J. Zhou. 2017. “Predicting Motorcycle Crash Injury Severity Using Weather Data and Alternative Bayesian Multivariate Crash Frequency Models.” Accident Analysis & Prevention 108: 172–180.
   PubMed Web of Science ®Google Scholar
• Choulakian, V. 2006a. “L1-Norm Projection Pursuit Principal Component Analysis.” Computational Statistics & Data Analysis 50: 1441–1451.
   Web of Science ®Google Scholar
• Choulakian, V. 2006b. “Taxicab Correspondence Analysis.” Psychometrika 71: 333–345.
   PubMed Web of Science ®Google Scholar
• Choulakian, V. 2013. “Graph Partitioning by Correspondence Analysis and Taxicab Correspondence Analysis.” Journal of Classification 30: 397–427.
   Web of Science ®Google Scholar
• Chung, Y., and T. Song. 2018. “Safety Analysis of Motorcycle Crashes in Seoul Metropolitan Area, South Korea: An Application of Nonlinear Optimal Scaling Methods.” International Journal of Environmental Research and Public Health 15 (12): 2702.
   Web of Science ®Google Scholar
• Chung, Y., T. J. Song, and B. J. Yoon. 2014. “Injury Severity in Delivery-Motorcycle to Vehicle Crashes in the Seoul Metropolitan Area.” Accident Analysis and Prevention 62: 79–86.
   PubMed Web of Science ®Google Scholar
• Cohn, S. M., D. Mishkin, A. Castelblanco, P. Li, C. Popkin, R. Duncan, G. A. Hotz, and Taylor & Francis. 2004. “Outcome of Motorcycle Riders at One Year Post-Injury.” Traffic Injury Prevention 5 (1): 87–89.
   PubMedGoogle Scholar
• Das, S., S. Ashraf, A. Dutta, and L. Tran. 2020a. “Pedestrians Under Influence (PUI) Crashes: Patterns From Correspondence Regression Analysis.” Journal of Safety Research. doi:https://doi.org/10.1016/j.jsr.2020.07.001.
   Google Scholar
• Das, S., R. Avelar, K. Dixon, and X. Sun. 2018a. “Investigation on the Wrong Way Driving Crash Patterns Using Multiple Correspondence Analysis.” Accident Analysis & Prevention 111: 43–55.
   PubMed Web of Science ®Google Scholar
• Das, S., and A. Dutta. 2020. “Extremely Serious Crashes on Urban Roadway Networks: Patterns and Trends.” IATSS Research. doi:https://doi.org/10.1016/j.iatssr.2020.01.003.
   Google Scholar
• Das, S., A. Dutta, K. Dixon, L. Minjares-Kyle, and G. Gillette. 2018b. “Using Deep Learning in Severity Analysis of At-Fault Motorcycle Rider Crashes.” Transportation Research Record: Journal of the Transportation Research Board 2672 (34): 122–134.
   Web of Science ®Google Scholar
• Das, S., A. Dutta, and K. Fitzpatrick. 2020b. “Technological Perception on Autonomous Vehicles: Perspectives of the Non-Motorists.” Technology Analysis & Strategic Management. doi: https://doi.org/10.1080/09537325.2020.1768235
   Google Scholar
• Das, S., M. Islam, A. Dutta, and T. Shimu. 2020c. “Uncovering Deep Structure of Determinants in Large Truck Fatal Crashes.” Transportation Research Record: Journal of Transportation Research Board. doi: https://doi.org/10.1177/0361198120931507
   Google Scholar
• Das, S., K. Jha, K. Fitzpatrick, M. Brewer, and T. H. Shimu. 2019. “Pattern Identification from Older Bicyclist Fatal Crashes.” Transportation Research Record: Journal of the Transportation Research Board 2673 (6): 638–649.
   Web of Science ®Google Scholar
• Das, S., and X. Sun. 2015. “Factor Association with Multiple Correspondence Analysis in Vehicle–Pedestrian Crashes.” Transportation Research Record: Journal of the Transportation Research Board 2519 (1): 95–103.
   Google Scholar
• Das, S., and X. Sun. 2016. “Association Knowledge for Fatal Run-off-Road Crashes by Multiple Correspondence Analysis.” IATSS Research 39 (2): 146–155.
   Web of Science ®Google Scholar
• Das, S., L. Tran, and M. Theel. 2020d. “Understanding Patterns in Marijuana Impaired Traffic Crashes.” Journal of Substance Use. doi: https://doi.org/10.1080/14659891.2020.1760381
   Google Scholar
• De Rome, L. 2005. A Model for Motorcycle Road Safety Plans.
   Google Scholar
• Eustace, D., V. K. Indupuru, and P. Hovey. 2011. “Identification of Risk Factors Associated with Motorcycle-Related Fatalities Ohio.” Journal of Transportation Engineering 137 (7): 474–480.
   Web of Science ®Google Scholar
• Greenacre, M., and J. Blasius. 2006. Multiple Correspondence Analysis and Related Methods. New York, NY: Chapman and Hall/CRC.
   Google Scholar
• Hjellbrekke, J. 2018. Multiple Correspondence Analysis for the Social Sciences. Boca Raton, FL: Routledge.
   Google Scholar
• Jalayer, M., M. Pour-Rouholamin, and H. Zhou. 2018. “Wrong-Way Driving Crashes: A Multiple Correspondence Approach to Identify Contributing Factors.” Traffic Injury Prevention 19 (1): 35–41.
   PubMed Web of Science ®Google Scholar
• Khor, D., K. Inaba, A. Aiolfi, S. Delapena, E. Benjamin, K. Matsushima, A. M. Strumwasser, and D. Demetriades. 2017. “The Impact of Helmet Use on Outcomes after a Motorcycle Crash.” Injury 48 (5): 1093–1097.
   PubMed Web of Science ®Google Scholar
• Kostyniuk, L. P., and A. D. Nation. 2005. Motorcycle Crash Trends in Michigan: 2001-2005. Report No. UMTRI-2006-22. Transportation Research Institute, The University of Michigan, Ann Arbor, MI.
   Google Scholar
• Le Roux, Brigitte, and H. Rouanet. 2010. Multiple Correspondence Analysis. Vol. 163. Thousand Oaks, CA: Sage.
   Google Scholar
• Medina, A., and J. Soto. 2011. Roadway Factors Associated with Motorcycle Crashes.
   Google Scholar
• Murtagh, F. 2005. Correspondence Analysis and Data Coding with Java and R. New York, NY: Chapman and Hall/CRC.
   Google Scholar
• Naumann, R. B., A. M. Dellinger, B. A. West, J. L. Annest, and G. W. Ryan. 2010. “Motorcycle Injuries Across the USA, 2001–2008: Injury Comparisons and Projections.” Injury Prevention 16. doi:https://doi.org/10.1136/ip.2010.029215.297.
   Google Scholar
• NHTSA. 2019. Traffic Safety Facts: Motorcycle. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812492. Accessed: July 2019.
   Google Scholar
• Ogle, A. J., and E. A. Tillotson. 2008. “Should It Be the Law in Wisconsin That All Motorcyclists Are Required to Wear Helmets?” Journal of Trauma Nursing 15 (2): 43–46.
   PubMedGoogle Scholar
• Peek-Asa, C., D. L. McArthur, J. F. Kraus, and Elsevier. 1999. “The Prevalence of Non-Standard Helmet Use and Head Injuries among Motorcycle Riders.” Accident Analysis & Prevention 31 (3): 229–233.
   PubMed Web of Science ®Google Scholar
• Quddus, M. A., R. B. Noland, and H. C. Chin. 2002. “An Analysis of Motorcycle Injury and Vehicle Damage Severity Using Ordered Probit Models.” Journal of Safety Research 33: 445–462.
   PubMed Web of Science ®Google Scholar
• Rappole, C., M. Canham-Chervak, B. Taylor, and B. Jones. 2019. “Factors Associated with Motorcycle Traffic Crash Fatalities among Active Duty U.S. Army Personnel.” Traffic Injury Prevention 20: 174–181.
   PubMed Web of Science ®Google Scholar
• Rifaat, S. M., R. Tay, and A. de Barros. 2012. “Severity of Motorcycle Crashes in Calgary.” Accident Analysis and Prevention 49: 44–49.
   PubMed Web of Science ®Google Scholar
• The Royal Society for the Prevention of Accidents (RoSPA). 2017. Road Safety Research: Common Motorcycle Crashes Causes. Birmingham, UK: RoSPA.
   Google Scholar
• Ryb, G. E., P. C. Dischinger, J. A. Kufera, and T. J. Kerns. 2009. “Trends in Motorcycle Injuries, Deaths and Case Fatality Rates in the U.S.A. Population.” Annals of Advances in Automotive Medicine 53.
   PubMedGoogle Scholar
• Saeed, T. U., R. Nateghi, T. Hall, and B. Waldorf. 2019. “Statistical Analysis of Area-Wide Alcohol-Related Driving Crashes: A Spatial Econometric Approach.” Geographical Analysis 1–24. doi:https://doi.org/10.1111/gean.12216.
   Google Scholar
• Savolainen, P., and F. Mannering. 2007. “Probalistic Models of Motorcyclists’ Injury Severities in Single-and Multi-Vehicle Crashes.” Accident Analysis and Prevention 39: 955–963.
   PubMed Web of Science ®Google Scholar
• Shaheed, M. S., and K. Gkritza. 2014. “A Latent Class Analysis of Single-Vehicle Motorcycle Crash Severity Outcomes.” Analytic Methods in Accident Research 2: 30–38.
   Google Scholar
• Waseem, M., A. Ahmed, and T. U. Saeed. 2019. “Factors Affecting Motorcyclists’ Injury Severities: An Empirical Assessment Using Random Parameters Logit Model with Heterogeneity in Means and Variances.” Accident Analysis & Prevention 123: 12–19.
   PubMed Web of Science ®Google Scholar
• Wu, K., L. Sasidharan, C. Thor, and S. Chen. 2018. “Crash Sequence-Based Risk Matrix for Motorcycle Crashes.” Accident Analysis & Prevention 117: 21–31.
   PubMed Web of Science ®Google Scholar
• Xin, C., Z. Wang, C. Lee, P. Lin, T. Chen, R. Guo, and Q. Lu. 2019. “Development of Crash Modification Factors of Horizontal Curve Design Features for Single-Motorcycle Crashes on Rural Two-Lane Highways: A Matched Case-Control Study.” Accident Analysis & Prevention 123: 51–59.
   PubMed Web of Science ®Google Scholar