219
Views
2
CrossRef citations to date
0
Altmetric
Articles

Crash narrative classification: Identifying agricultural crashes using machine learning with curated keywords

, ORCID Icon, ORCID Icon & ORCID Icon
Pages 74-78 | Received 07 Apr 2020, Accepted 08 Oct 2020, Published online: 18 Nov 2020

References

  • Boggs A, Wali B, Khattak A. 2020. Exploratory analysis of automated vehicle crashes in California: a text analytics & hierarchical Bayesian heterogeneity-based approach. Accid Anal Prev. 135:105354. doi:10.1016/j.aap.2019.105354
  • Das S, Kong X, Tsapakis I. 2019. Hit and run crash analysis using association rules mining. J Transport Safety Security. 1–20. [CrossRef][ doi:10.1080/19439962.2019.1611682 
  • Gao L, Wu H. 2013. Verb-based text mining of road crash report. Paper presented at: 92nd Annual Meeting of the Transportation Research Board; Washington, DC; January, 13–7.
  • Gerberich S, Robertson L, Gibson R, Renier C. 1996. An epidemiological study of roadway fatalities related to farm vehicles: United States, 1988 to 1993. J Occup Environ Med. 38(11):1135–1140. doi:10.1097/00043764-199611000-00013
  • Gkritza K, Kinzenbaw C, Hallmark S, Hawkins N. 2010. An empirical analysis of farm vehicle crash injury severities on Iowa's public road system. Accid Anal Prev. 42(4):1392–1397. doi:10.1016/j.aap.2010.03.003
  • Harland K, Bedford R, Wu H, Ramirez M. 2018. Prevalence of alcohol impairment and odds of a driver injury or fatality in on-road farm equipment crashes. Traffic Inj Prev. 19(3):230–234. doi:10.1080/15389588.2017.1407924
  • Harland K, Greenan M, Ramirez M. 2014. Not just a rural occurrence: differences in agricultural equipment crash characteristics by rural-urban crash site and proximity to town. Accid Anal Prev. 70:8–13.
  • Hughes R, Rodgman E. 2000. Crashes involving farm tractors and other farm vehicles/equipment in North Carolina 1995-1999. April 1, 2000. [accessed 2020 Mar 23]. https://rosap.ntl.bts.gov/view/dot/4790.
  • Lacy J, Hunter W, Huang H. 2003. Study of farm vehicle crashes in North Carolina. Transp Res Rec. 1840(1):178–185.
  • Nayak R, Piyatrapoomi N, Weligamage J. 2010. Application of text mining in analysing road crashes for road asset management. In Proceedings of the 4th World Congress on Engineering Asset Management (WCEAM 2009). September, 28–30. Athens, Greece.
  • Peek-Asa C, Sprince NL, Whitten PS, Falb SR, Madsen MD, Zwerling C. 2007. Characteristics of crashes with farm equipment that increase potential for injury. J Rural Health. 23(4):339–347. doi:10.1111/j.1748-0361.2007.00112.x
  • Pour-Rouholamin M, Zhou H, Zhang B, Turochy R. 2016. Comprehensive analysis of wrong-way driving crashes on Alabama interstates. Transp Res Rec. 2601(1):50–58.
  • Rakotonirainy A, Chen S, Scott-Parker B, Loke SW, Krishnaswamy S. 2015. A novel approach to assessing road-curve crash severity. J Transport Safety Security. 7(4):358–375.
  • Ramirez M, Bedford R, Wu H, Harland K, Cavanaugh J, Peek-Asa C. 2016. Lighting and marking policies are associated with reduced farm equipment-related crash rates: a policy analysis of nine Midwestern US states . Occup Environ Med. 73(9):621–626. doi:10.1136/oemed-2016-103672
  • Ranapurwala S, Mello E, Ramirez M. 2016. A GIS-based matched case-control study of road characteristics in farm vehicle crashes. Epidemiology. 27(6):827–834.
  • Rossum GV, Drake FL. 2011. The Python language reference manual: for Python version 3.2. Bristol (UK): Network Theory Ltd.
  • Trueblood A, Pant A, Kim J, Kum H-C, Perez M, Das S, Shipp E. 2019. A semi-automated tool for identifying agricultural roadway crashes in crash narratives. Traffic Inj Prev. 20(4):413–418. doi:10.1080/15389588.2019.1599873
  • U.S. Bureau of Labor Statistics. 2019a. Table 4. Fatal occupational injuries counts and rates by selected industries. Economic News Release. 2017–2018. December 17 [accessed 2020 23 Mar]. https://www.bls.gov/news.release/cfoi.t04.htm.
  • U.S. Bureau of Labor Statistics. 2019b. Table A-2. Fatal occupational injuries resulting from transportation incidents and homicides, all United States, 2018. Injuries, Illnesses, and Fatalities.December 17 [accessed 2020 23 Mar]. https://www.bls.gov/iif/oshwc/cfoi/cftb0323.htm.
  • U.S. Bureau of Labor Statistics. 2020. Employment by major industry sector. Employment Projections September 1 [accessed 2020 Sept 16]. https://www.bls.gov/emp/tables/employment-by-major-industry-sector.htm.
  • Zhang X, Green E, Chen M, Souleyrette R. 2020. Identifying secondary crashes using text mining techniques. J Transport Safety Security. 12(10):1338–1321.

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.