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Articles

Modelling bus-pedestrian crash severity in the state of Victoria, Australia

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Pages 233-242 | Received 14 Dec 2020, Accepted 20 Mar 2021, Published online: 06 Apr 2021

References

  • Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules. Paper Presented at the Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, Santiago de Chile.
  • Amiri, M., Ardeshir, A., Fazel Zarandi, M. H., & Soltanaghaei, E. (2016). Pattern extraction for high-risk accidents in the construction industry: a data-mining approach. International Journal of Injury Control and Safety Promotion, 23(3), 264–276. https://doi.org/10.1080/17457300.2015.1032979
  • Amoh-Gyimah, R., Aidoo, E. N., Akaateba, M. A., & Appiah, S. K. (2017). The effect of natural and built environmental characteristics on pedestrian-vehicle crash severity in Ghana. International Journal of Injury Control and Safety Promotion, 24(4), 459–468. https://doi.org/10.1080/17457300.2016.1232274
  • Aziz, H. A., Ukkusuri, S. V., & Hasan, S. (2013). Exploring the determinants of pedestrian-vehicle crash severity in New York City. Accident; Analysis and Prevention, 50, 1298–1309. https://doi.org/10.1016/j.aap.2012.09.034
  • Barua, U., & Tay, R. (2010). Severity of urban transit bus crashes in Bangladesh. Journal of Advanced Transportation, 44(1), 34–41. https://doi.org/10.1002/atr.104
  • Besharati, M. M., & Tavakoli Kashani, A. (2018). Which set of factors contribute to increase the likelihood of pedestrian fatality in road crashes? International Journal of Injury Control and Safety Promotion, 25(3), 247–256. https://doi.org/10.1080/17457300.2017.1363781
  • Brenac, T., & Clabaux, N. (2005). The indirect involvement of buses in traffic accident processes. Safety Science, 43(10), 835–843. https://doi.org/10.1016/j.ssci.2005.04.003
  • Bungum, T. J., Day, C., & Henry, L. J. (2005). The association of distraction and caution displayed by pedestrians at a lighted crosswalk. Journal of Community Health, 30(4), 269–279. https://doi.org/10.1007/s10900-005-3705-4
  • Chimba, D., Sando, T., & Kwigizile, V. (2010). Effect of bus size and operation to crash occurrences. Accident; Analysis and Prevention, 42(6), 2063–2067. https://doi.org/10.1016/j.aap.2010.06.018
  • Chu, H.-C. (2014). Assessing factors causing severe injuries in crashes of high-deck buses in long-distance driving on freeways. Accident; Analysis and Prevention, 62, 130–136. https://doi.org/10.1016/j.aap.2013.09.016
  • Chung, Y. (2018). Injury severity analysis in taxi-pedestrian crashes: An application of reconstructed crash data using a vehicle black box. Accident; Analysis and Prevention, 111, 345–353. https://doi.org/10.1016/j.aap.2017.10.016
  • D’elia, A., & Newstead, S. (2015). Pedestrian injury outcome as a function of vehicle market group in Victoria, Australia. Traffic Injury Prevention, 16(7), 709–714. https://doi.org/10.1080/15389588.2014.1003819
  • Das, S., Dutta, A., Avelar, R., Dixon, K., Sun, X., & Jalayer, M. (2019). Supervised association rules mining on pedestrian crashes in urban areas: identifying patterns for appropriate countermeasures. International Journal of Urban Sciences, 23(1), 30–48. https://doi.org/10.1080/12265934.2018.1431146
  • Elvik, R. (2002). The effect on accidents of technical inspections of heavy vehicles in Norway. Accident; Analysis and Prevention, 34(6), 753–762. https://doi.org/10.1016/s0001-4575(01)00075-6
  • Feng, S., Li, Z., Ci, Y., & Zhang, G. (2016). Risk factors affecting fatal bus accident severity: Their impact on different types of bus drivers. Accident; Analysis and Prevention, 86, 29–39. https://doi.org/10.1016/j.aap.2015.09.025
  • Fridman, L., Pitt, T., Rothman, L., Howard, A., & Hagel, B. (2019). Driver and road characteristics associated with child pedestrian injuries. Accident Analysis & Prevention, 131, 248–253. https://doi.org/10.1016/j.aap.2019.07.007
  • Goh, K. C. K., Currie, G., Sarvi, M., & Logan, D. (2014). Bus accident analysis of routes with/without bus priority. Accident; Analysis and Prevention, 65, 18–27. https://doi.org/10.1016/j.aap.2013.12.002
  • 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. https://doi.org/10.1016/j.aap.2015.04.025
  • Hu, W., & Cicchino, J. B. (2018). An examination of the increases in pedestrian motor-vehicle crash fatalities during 2009-2016. Journal of Safety Research, 67, 37–44. https://doi.org/10.1016/j.jsr.2018.09.009
  • Islam, S., & Jones, S. L. (2014). Pedestrian at-fault crashes on rural and urban roadways in Alabama. Accident Analysis & Prevention, 72, 267–276. https://doi.org/10.1016/j.aap.2014.07.003
  • Jang, K., Park, S. H., Kang, S., Song, K. H., & Chung, S. (2013). Evaluation of pedestrian safety: geographical identification of pedestrian crash hotspots and evaluating risk factors for injury severity [Paper presentation]. Transportation Research Board 92nd Annual Meeting, Washington, DC.
  • Kaplan, S., & Prato, C. G. (2012). Risk factors associated with bus accident severity in the United States: A generalized ordered logit model. Journal of Safety Research, 43(3), 171–180. https://doi.org/10.1016/j.jsr.2012.05.003
  • Karndacharuk, A., Wilson, D. J., & Dunn, R. (2014). A review of the evolution of shared (street) space concepts in urban environments. Transport Reviews, 34(2), 190–220. https://doi.org/10.1080/01441647.2014.893038
  • Kashani, A. T., & Besharati, M. M. (2017). Fatality rate of pedestrians and fatal crash involvement rate of drivers in pedestrian crashes: a case study of Iran. International Journal of Injury Control and Safety Promotion, 24(2), 222–231. https://doi.org/10.1080/17457300.2016.1166139
  • Kemnitzer, C. R., Pope, C. N., Nwosu, A., Zhao, S., Wei, L., & Zhu, M. (2019). An investigation of driver, pedestrian, and environmental characteristics and resulting pedestrian injury. Traffic Injury Prevention, 20(5), 510–514. https://doi.org/10.1080/15389588.2019.1612886
  • Kim, M., Kho, S.-Y., & Kim, D.-K. (2017). Hierarchical ordered model for injury severity of pedestrian crashes in South Korea. Journal of Safety Research, 61, 33–40. https://doi.org/10.1016/j.jsr.2017.02.011
  • Kim, J.-K., Ulfarsson, G. F., Shankar, V. N., & Mannering, F. L. (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. https://doi.org/10.1016/j.aap.2010.04.016
  • Koopmans, J. M., Friedman, L., Kwon, S., & Sheehan, K. (2015). Urban crash-related child pedestrian injury incidence and characteristics associated with injury severity. Accident Analysis & Prevention, 77, 127–136. https://doi.org/10.1016/j.aap.2015.02.005
  • Kumar, S., & Toshniwal, D. (2015). A data mining framework to analyze road accident data. Journal of Big Data, 2(1), 26. https://doi.org/10.1186/s40537-015-0035-y
  • Kumar, S., & Toshniwal, D. (2016). A data mining approach to characterize road accident locations. Journal of Modern Transportation, 24(1), 62–72. https://doi.org/10.1007/s40534-016-0095-5
  • Larue, G. S., Watling, C. N., Black, A. A., Wood, J. M., & Khakzar, M. (2020). Pedestrians distracted by their smartphone: Are in-ground flashing lights catching their attention? A laboratory study. Accident; Analysis and Prevention, 134, 105346. https://doi.org/10.1016/j.aap.2019.105346
  • Li, Y., & Itoh, K. (2013). Factors contributing to driving safety in the trucking industry. IIE Transactions on Occupational Ergonomics and Human Factors, 1(4), 246–257. https://doi.org/10.1080/21577323.2013.852145
  • Li, D., Ranjitkar, P., Zhao, Y., Yi, H., & Rashidi, S. (2017). Analyzing pedestrian crash injury severity under different weather conditions. Traffic Injury Prevention, 18(4), 427–430. https://doi.org/10.1080/15389588.2016.1207762
  • Lord, D., & Mannering, F. (2010). The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives. Transportation Research Part A: Policy and Practice, 44(5), 291–305.
  • Ma, Z., Lu, X., Chien, S. I.-J., & Hu, D. (2018). Investigating factors influencing pedestrian injury severity at intersections. Traffic Injury Prevention, 19(2), 159–164. https://doi.org/10.1080/15389588.2017.1354371
  • Mirabadi, A., & Sharifian, S. (2010). Application of association rules in Iranian Railways (RAI) accident data analysis. Safety Science, 48(10), 1427–1435. https://doi.org/10.1016/j.ssci.2010.06.006
  • Mohamed, M. G., Saunier, N., Miranda-Moreno, L. F., & Ukkusuri, S. V. (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. https://doi.org/10.1016/j.ssci.2012.11.001
  • Montella, A. (2011). Identifying crash contributory factors at urban roundabouts and using association rules to explore their relationships to different crash types. Accident; Analysis and Prevention, 43(4), 1451–1463. https://doi.org/10.1016/j.aap.2011.02.023
  • Montella, A., Aria, M., D'Ambrosio, A., & Mauriello, F. (2012). Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery. Accident; Analysis and Prevention, 49, 58–72. https://doi.org/10.1016/j.aap.2011.04.025
  • Montella, A., de Oña, R., Mauriello, F., Riccardi, M. R., & Silvestro, G. (2020). A data mining approach to investigate patterns of powered two-wheeler crashes in Spain. Accident; Analysis and Prevention, 134, 105251. https://doi.org/10.1016/j.aap.2019.07.027
  • Mukherjee, D., & Mitra, S. (2020). Modelling risk factors for fatal pedestrian crashes in Kolkata, India. International Journal of Injury Control and Safety Promotion, 27(2), 197–214. https://doi.org/10.1080/17457300.2020.1725894
  • Nasri, M., & Aghabayk, K. (2020). Assessing risk factors associated with urban transit bus involved accident severity: a case study of a Middle East country. International Journal of Crashworthiness, 1–11. https://doi.org/10.1080/13588265.2020.1718465
  • Newnam, S., Greenslade, J., Newton, C., & Watson, B. (2011). Safety in occupational driving: Development of a driver behavior scale for the workplace context. Applied Psychology, 60(4), 576–599. https://doi.org/10.1111/j.1464-0597.2011.00448.x
  • Niebuhr, T., Junge, M., & Rosen, E. (2016). Pedestrian injury risk and the effect of age. Accident; Analysis and Prevention, 86, 121–128. https://doi.org/10.1016/j.aap.2015.10.026
  • Nitsche, P., Thomas, P., Stuetz, R., & Welsh, R. (2017). Pre-crash scenarios at road junctions: A clustering method for car crash data. Accident; Analysis and Prevention, 107, 137–151. https://doi.org/10.1016/j.aap.2017.07.011
  • O’Hern, S., & Oxley, J. (2019). Pedestrian injuries due to collisions with cyclists Melbourne, Australia. Accident Analysis & Prevention, 122, 295–300. https://doi.org/10.1016/j.aap.2018.10.018
  • Oikawa, S., Matsui, Y., Doi, T., & Sakurai, T. (2016). Relation between vehicle travel velocity and pedestrian injury risk in different age groups for the design of a pedestrian detection system. Safety Science, 82, 361–367. https://doi.org/10.1016/j.ssci.2015.10.003
  • Pande, A., & Abdel-Aty, M. (2009). Market basket analysis of crash data from large jurisdictions and its potential as a decision support tool. Safety Science, 47(1), 145–154. https://doi.org/10.1016/j.ssci.2007.12.001
  • Park, H.-C., Joo, Y.-J., Kho, S.-Y., Kim, D.-K., & Park, B.-J. (2019). Injury severity of bus–pedestrian crashes in South Korea considering the effects of regional and company factors. Sustainability, 11(11), 3169. https://doi.org/10.3390/su11113169
  • Pour-Rouholamin, M., & Zhou, H. (2016). Investigating the risk factors associated with pedestrian injury severity in Illinois. Journal of Safety Research, 57, 9–17. https://doi.org/10.1016/j.jsr.2016.03.004
  • Prato, C. G., & Kaplan, S. (2014). Bus accident severity and passenger injury: evidence from Denmark. European Transport Research Review, 6(1), 17–30. https://doi.org/10.1007/s12544-013-0107-z
  • Sam, E. F., Daniels, S., Brijs, K., Brijs, T., & Wets, G. (2018). Modelling public bus/minibus transport accident severity in Ghana. Accident; Analysis and Prevention, 119, 114–121. https://doi.org/10.1016/j.aap.2018.07.008
  • Samerei, S. A., Aghabayk, K., Mohammadi, A., & Shiwakoti, N. (2021). Data mining approach to model bus crash severity in Australia. Journal of Safety Research, 76, 73–82. https://doi.org/10.1016/j.jsr.2020.12.004
  • Senserrick, T., Boufous, S., De Rome, L., Ivers, R., & Stevenson, M. (2014). Detailed analysis of pedestrian casualty collisions in Victoria, Australia. Traffic Injury Prevention, 15(sup1), S197–S205. https://doi.org/10.1080/15389588.2014.935356
  • Shiwakoti, N., Tay, R., & Stasinopoulos, P. (2019). Development, testing, and evaluation of road safety poster to reduce jaywalking behavior at intersections. Cognition, Technology & Work, 22, 389–397.
  • Stipancic, J., Miranda-Moreno, L., Strauss, J., & Labbe, A. (2020). Pedestrian safety at signalized intersections: modelling spatial effects of exposure, geometry and signalization on a large urban network. Accident; Analysis and Prevention, 134, 105265. https://doi.org/10.1016/j.aap.2019.105265
  • Sun, M., Sun, X., & Shan, D. (2019). Pedestrian crash analysis with latent class clustering method. Accident; Analysis and Prevention, 124, 50–57. https://doi.org/10.1016/j.aap.2018.12.016
  • Tiwari, G. (2020). Progress in pedestrian safety research. International Journal of Injury Control and Safety Promotion, 27(1), 35–43. https://doi.org/10.1080/17457300.2020.1720255
  • Transport Accident Commission. (2020). Transport Accident Commission, V., Australia. https://www.tac.vic.gov.au.
  • Tuckel, P., Milczarski, W., & Maisel, R. (2014). Pedestrian injuries due to collisions with bicycles in New York and California. Journal of Safety Research, 51, 7–13. https://doi.org/10.1016/j.jsr.2014.07.003
  • VicRoads, C. S. (2020). https://www.vicroads.vic.gov.au/safety-and-road-rules/safety-statistics/crash-statistics.
  • Wei, C., Becic, E., Edwards, C., Graving, J., & Manser, M. (2014). Task analysis of transit bus drivers’ left-turn maneuver: Potential countermeasures for the reduction of collisions with pedestrians. Safety Science, 68, 81–88. https://doi.org/10.1016/j.ssci.2014.02.023
  • Weng, J., Zhu, J.-Z., Yan, X., & Liu, Z. (2016). Investigation of work zone crash casualty patterns using association rules. Accident; Analysis and Prevention, 92, 43–52. https://doi.org/10.1016/j.aap.2016.03.017
  • WHO. (2015). Global status report on road safety 2015. World Health Organization.
  • WHO. (2019). World health statistics 2019: monitoring health for the SDGs, sustainable development goals. World Health Organization.
  • Yoon, S., Kho, S.-Y., & Kim, D.-K. (2017). Effect of regional characteristics on injury severity in local bus crashes: use of hierarchical ordered model. Transportation Research Record: Journal of the Transportation Research Board, 2647(1), 1–8. https://doi.org/10.3141/2647-01
  • Zafri, N. M., Prithul, A. A., Baral, I., & Rahman, M. (2020). Exploring the factors influencing pedestrian-vehicle crash severity in Dhaka, Bangladesh. International Journal of Injury Control and Safety Promotion, 27(3), 300–307. https://doi.org/10.1080/17457300.2020.1774618
  • Zou, T., Liu, Q., Zha, A., Simms, C., & Chen, T. (2020). New observations from real-world vehicle-pedestrian collisions in reducing ground related injury by controlling vehicle braking. International Journal of Crashworthiness, 1–18.

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