375
Views
0
CrossRef citations to date
0
Altmetric
Review Article

Categorical principal component analysis (CATPCA) of pedestrian crashes in Central Florida

, &

References

  • Abou-Senna, H., Radwan, E. & Mohamed, A. (2016). A Methodology to Quantify Pedestrian Crash Rates against Statewide Averages for Roadways and Intersections. Proceedings of the 17th Road Safety on Five Continents (RS5C) Conference. Rio de Janeiro, Brazil, 17–19 May, 2016.
  • Abou-Senna, H., Radwan, E. & Mohamed, A. (2016). Investigating the Correlation between Sidewalk Gaps and Pedestrian Safety. Proceedings of the 95th Transportation Research Board Annual Meeting, Washington D.C., 10–14 Jan 2016.
  • Agresti, A. (1996). An introduction to categorical data analysis. Hoboken, New Jersey: Wiley.
  • Al-Kaisy, A., Miyake, G. T., Staszcuk, J., & Scharf, D. (2016). Motorists' voluntary yielding of right of way at uncontrolled midblock crosswalks with rectangular rapid flashing beacons. Journal of Transportation Safety & Security, 1–15.
  • Alluri, P., Haleem, K., Gan, A., Lavasani, M., & Saha, D. (2013). Comprehensive study to reduce pedestrian crashes in Florida.
  • Bainco, Z. (2017). Analysis of pedestrian crash characteristics and contributing causes in Central Florida (Electronic Theses and Dissertations, 2004-2019). 5362. https://stars.library.ucf.edu/etd/5362.
  • Behnood, A., & Mannering, F. L. (2016). An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models. Analytic Methods in Accident Research, 12, 1–17. doi:10.1016/j.amar.2016.07.002
  • Chang, F., Xu, P., Zhou, H., Chan, A. H., & Huang, H. (2019). Investigating injury severities of motorcycle riders: a two-step method integrating latent class cluster analysis and random parameters logit model. Accident. Accident Analysis & Prevention, 131, 316–326. doi:10.1016/j.aap.2019.07.012
  • Chen, Z., & Fan, W. D. (2019). A multinomial logit model of pedestrian-vehicle crash severity in North Carolina. International Journal of Transportation Science and Technology, 8(1), 43–52. doi:10.1016/j.ijtst.2018.10.001
  • Ernst, M., Lang, M., & Davis, S. (2011). Dangerous by design: Solving the epidemic of preventable pedestrian deaths.
  • Haleem, K., Alluri, P., & Gan, A. (2015). Analyzing pedestrian crash injury severity at signalized and non-signalized locations. Accident; Analysis and Prevention, 81, 14–23. doi:10.1016/j.aap.2015.04.025
  • Islam, S., & Hossain, A. B. (2015). Comparative analysis of injury severity resulting from pedestrian–motor vehicle and bicycle-motor vehicle crashes on roadways in Alabama. Transportation research record, 2514(1), 79–87.
  • Islam, M. S., Serhiyenko, V., Ivan, J. N., Ravishanker, N., & Garder, P. (2014). Explaining pedestrian safety experience at urban and suburban street crossings considering observed conflicts and pedestrian counts. Journal of Transportation Safety & Security, 6(4), 335–355. doi:10.1080/19439962.2013.877549
  • Khattak, A., & Tung, L. (2015). Severity of pedestrian crashes at highway-rail grade crossings. Journal of the Transportation Research Forum, 54(2), 91–100. doi:10.5399/osu/jtrf.54.2.4291
  • Kim, J., Ulfarsson, G., Shankar, V., & Mannering, F. (2010). A note on modeling pedestrian-injury severity in motor-vehicle crashes with the mixed logit model. Accident; Analysis and Prevention, 42(6), 1751–1758. doi:10.1016/j.aap.2010.04.016
  • Kong, C., & Yang, J. (2010). Logistic regression analysis of pedestrian casualty risk in passenger vehicle collisions in china. Accident; Analysis and Prevention, 42(4), 987–993. doi:10.1016/j.aap.2009.11.006
  • Kraus, U., Schneider, A., Breitner, S., Hampel, R., Rückerl, R., Pitz, M., Geruschkat, U., Belcredi, P., Radon, K., & Peters, A. (2013). Individual daytime noise exposure during routine activities and heart rate variability in adults: a repeated measures study. Environmental Health Perspectives, 121(5), 607–612. doi:10.1289/ehp.1205606
  • Lee, C., & Abdel-Aty, M. (2005). Comprehensive analysis of vehicle-pedestrian crashes at intersections in Florida. Accident; Analysis and Prevention, 37(4), 775–786. doi:10.1016/j.aap.2005.03.019
  • Li, Y., & Fan, W. (2020). Modelling the severity of pedestrian injury in pedestrian—vehicle crashes in North Carolina: A partial proportional odds logit model approach. Journal of Transportation Safety & Security, 12(3), 358–379. doi:10.1080/19439962.2018.1483989
  • Li, Y., & Fan, W. D. (2019). Modelling severity of pedestrian-injury in pedestrian-vehicle crashes with latent class clustering and partial proportional odds model: a case study of North Carolina. Accident; Analysis and Prevention, 131, 284–296. doi:10.1016/j.aap.2019.07.008
  • Meulman, J., van Der Kooij, A., & HeiserKaplan, W. (2004). Principal components analysis with nonlinear optimal scaling transformations for ordinal and nominal data. In: Kaplan, D. (Ed.), The SAGE handbook of quantitative methodology for the social sciences. Washington, DC: SAGE Publications.
  • Miles-Doan, R. (1996). Alcohol use among pedestrians and the odds of surviving an injury: Evidence from Florida law enforcement data. Accident; Analysis and Prevention, 28(1), 23–31. doi:10.1016/0001-4575(95)00030-5
  • Mohamed, M., Saunier, N., Miranda-Moreno, L., & Ukkusuri, S. (2013). A clustering regression approach: A comprehensive injury severity analysis of pedestrian–vehicle crashes in new York, US and Montreal, Canada. Safety Science, 54, 27–37. doi:10.1016/j.ssci.2012.11.001
  • Moore, D. N., Schneider, W. H., Savolainen, P. T., & Farzaneh, M. (2011). Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and non-intersection locations. Accident; Analysis and Prevention, 43(3), 621–630. doi:10.1016/j.aap.2010.09.015
  • National Complete Streets Coalition and Smart Growth America. (2019). Dangerous by design report.
  • National Highway Traffic Safety Adminstration, NHTSA. (2011). Traffic Safety Facts 2011 data.
  • Radwan, E., Abou-Senna, H., Mohamed, A., Navarro, A., Minaei, N., Wu, J., & Gonzalez, L. (2016). Assessment of Sidewalk/Bicycle-Lane Gaps with Safety and Developing Statewide Pedestrian Crash Rates. Prepared for the Florida Department of Transportation. Final Report. Contract No. BDV24, 977–07.
  • Shamsunnahar, Y., Eluru, N., & Ukkusuri, S. V. (2014). Alternative ordered response frameworks for examining pedestrian injury severity in New York City. Journal of Transportation Safety & Security, 6, 275–300.
  • Siddiqui, N., Chu, X., & Guttenplan, M. (2006). Crossing locations, light conditions, and pedestrian injury severity. Transportation Research Record: Journal of the Transportation Research Board, 1982(1), 141–149. doi:10.1177/0361198106198200118
  • Signal Four Analytics Website. (2015). http://s4.geoplan.ufl.edu/.
  • Solnick, S. J., & Hemenway, D. (1995). The hit-and-run in fatal pedestrian accidents: Victims, circumstances and drivers. Accident; Analysis and Prevention, 27(5), 643–649.
  • Spear, K. (2019). Orlando No. 1 Again for Pedestrian Deaths, online article, Orlando Sentinel.
  • Tabachnick, B., & Fidell, L. (2007). Using multivariate statistics (6th ed.). USA: Pearson/Allyn & Bacon.
  • Tarko, A., & Azam, M. (2011). Pedestrian injury analysis with consideration of the selectivity bias in linked police-hospital data. Journal of the Accident Analysis & Prevention, USA.
  • Ulfarsson, G. F., Kim, S., & Booth, K. M. (2010). Analyzing fault in pedestrian-motor vehicle crashes in North Carolina. Accident; Analysis and Prevention, 42(6), 1805–1813. doi:10.1016/j.aap.2010.05.001
  • Wang, Y., Haque, M. M., & Chin, H.-C. (2017). Elderly pedestrian injuries in Singapore. Journal of Transportation Safety & Security, 9(3), 273–300. doi:10.1080/19439962.2016.1194353
  • Wu, J., Radwan, E., & Abou-Senna, H. (2018). Determination if VISSIM and SSAM could estimate pedestrian-vehicle conflicts at signalized intersections. Journal of Transportation Safety & Security, 10(6), 572–585. doi:10.1080/19439962.2017.1333181

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.