{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T01:20:01Z","timestamp":1793236801220,"version":"4.5.0"},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Accident Analysis & Prevention"],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1016\/j.aap.2020.105899","type":"journal-article","created":{"date-parts":[[2020,12,3]],"date-time":"2020-12-03T23:28:28Z","timestamp":1607038108000},"page":"105899","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":85,"special_numbering":"C","title":["Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology"],"prefix":"10.1016","volume":"150","author":[{"given":"Keneth Morgan","family":"Kwayu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valerian","family":"Kwigizile","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun-Seok","family":"Oh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.aap.2020.105899_bib0005","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.jocs.2018.04.004","article-title":"Analysis of publication activity of computational science society in 2001\u20132017 using topic modelling and graph theory","volume":"26","author":"Abuhay","year":"2018","journal-title":"J. Comput. Sci."},{"key":"10.1016\/j.aap.2020.105899_bib0010","series-title":"Alaska Motor Vehicle Collision Report(12-200) Instruction Manual","author":"Alaska Department of Public Safety","year":"2016"},{"key":"10.1016\/j.aap.2020.105899_bib0015","series-title":"Road Safety Facts \u2014 Association for Safe International Road Travel","author":"Association for Safe International Road Travel","year":"2019"},{"issue":"4","key":"10.1016\/j.aap.2020.105899_bib0020","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1007\/s10869-017-9528-3","article-title":"A review of best practice recommendations for text analysis in r (and a user-friendly app)","volume":"33","author":"Banks","year":"2018","journal-title":"J. Bus. Psychol."},{"key":"10.1016\/j.aap.2020.105899_bib0025","series-title":"Chapter 1 - Providing Structure to Unstructured Data","first-page":"1","author":"Berman","year":"2013"},{"key":"10.1016\/j.aap.2020.105899_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.jsr.2017.06.004","article-title":"Factors contributing to commercial vehicle rear-end conflicts in China: a study using on-board event data recorders","author":"Bianchi Piccinini","year":"2017","journal-title":"J. Safety Res."},{"key":"10.1016\/j.aap.2020.105899_bib0035","series-title":"Proceedings of the 29th International Conference on Machine Learning","article-title":"Summarizing topical content with word frequency and exclusivity","author":"Bischof","year":"2012"},{"key":"10.1016\/j.aap.2020.105899_bib0040","first-page":"77","article-title":"Surveying a suite of algorithms that offer a solution to managing large document archives","author":"Blei","year":"2012","journal-title":"Cs.Princeton.Edu"},{"key":"10.1016\/j.aap.2020.105899_bib0045","article-title":"Dynamic topic models","author":"Blei","year":"2006","journal-title":"Proc. 23rd Int. Conf. Mach. Learn. - ICML\u2019 06 113\u2013120"},{"issue":"1","key":"10.1016\/j.aap.2020.105899_bib0050","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1214\/07-AOAS114","article-title":"A correlated topic model","volume":"1","author":"Blei","year":"2007","journal-title":"Ann. Appl. Stat."},{"key":"10.1016\/j.aap.2020.105899_bib0055","article-title":"Latent dirichlet allocation","author":"Blei","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.aap.2020.105899_bib0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.jsr.2007.12.002","article-title":"Crashes of novice teenage drivers: characteristics and contributing factors","author":"Braitman","year":"2008","journal-title":"J. Safety Res."},{"issue":"2","key":"10.1016\/j.aap.2020.105899_bib0065","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1109\/TITS.2015.2472580","article-title":"Text mining the contributors to rail accidents","volume":"17","author":"Brown","year":"2016","journal-title":"IEEE trans. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2020.105899_bib0070","series-title":"International Encyclopedia of the Social & Behavioral Sciences","article-title":"Network analysis","author":"Chiesi","year":"2015"},{"key":"10.1016\/j.aap.2020.105899_bib0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2004.02.003","article-title":"Measuring the impact of passenger restrictions on new teenage drivers","author":"Cooper","year":"2005","journal-title":"Accid. Anal. Prev."},{"issue":"1","key":"10.1016\/j.aap.2020.105899_bib0080","doi-asserted-by":"crossref","first-page":"48","DOI":"10.3141\/2552-07","article-title":"Text mining and topic modeling of compendiums of papers from transportation research board annual meetings","volume":"2552","author":"Das","year":"2016","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"issue":"32","key":"10.1016\/j.aap.2020.105899_bib0085","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1177\/0361198118788464","article-title":"Vehicle consumer complaint reports involving severe incidents: mining large contingency tables","volume":"2672","author":"Das","year":"2018","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2020.105899_bib0090","doi-asserted-by":"crossref","DOI":"10.1177\/0361198119842110","article-title":"YouTube as a source of information in understanding autonomous vehicle consumers: natural language processing study","author":"Das","year":"2019","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2020.105899_bib0095","doi-asserted-by":"crossref","DOI":"10.3141\/2516-04","article-title":"Teen drivers\u2019 perceptions of their peer passengers qualitative study","author":"Ehsani","year":"2015","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2020.105899_bib0100","doi-asserted-by":"crossref","DOI":"10.1155\/2013\/905075","article-title":"The Influence of Contributory Factors on Driving Violations at Intersections: An Exploratory Analysis","volume":"5","author":"Fu","year":"2013","journal-title":"Adv. Mech. Eng."},{"key":"10.1016\/j.aap.2020.105899_bib0105","series-title":"Analyzing the Social Web","article-title":"Network structure and measures","author":"Golbeck","year":"2013"},{"key":"10.1016\/j.aap.2020.105899_bib0110","doi-asserted-by":"crossref","DOI":"10.1016\/j.trc.2014.04.003","article-title":"Urban activity pattern classification using topic models from online geo-location data","author":"Hasan","year":"2014","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"10.1016\/j.aap.2020.105899_bib0115","series-title":"2018 Fatal Motor Vehicle Crashes: Overview","author":"Highway Traffic Safety Administration","year":"2019"},{"key":"10.1016\/j.aap.2020.105899_bib0120","series-title":"Mobility Patterns, Big Data and Transport Analytics","first-page":"173","article-title":"Chapter 8 - textual data in transportation research: techniques and opportunities","author":"Kinra","year":"2019"},{"key":"10.1016\/j.aap.2020.105899_bib0125","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.trc.2017.12.018","article-title":"Using structural topic modeling to identify latent topics and trends in aviation incident reports","volume":"87","author":"Kuhn","year":"2018","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"10.1016\/j.aap.2020.105899_bib0130","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)CP.1943-5487.0000895","article-title":"Semantic N-Gram feature analysis and machine learning\u2013Based classification of drivers\u2019 hazardous actions at signal-controlled intersections","author":"Kwayu","year":"2020","journal-title":"J. Comput. Civ. Eng."},{"key":"10.1016\/j.aap.2020.105899_bib0135","doi-asserted-by":"crossref","DOI":"10.1016\/S0001-4575(02)00091-X","article-title":"Passenger carriage and car crash injury: a comparison between younger and older drivers","author":"Lam","year":"2003","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2020.105899_bib0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.trf.2006.03.005","article-title":"Epidemiology of older driver crashes - identifying older driver risk factors and exposure patterns","author":"Langford","year":"2006","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2020.105899_bib0145","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.aap.2016.10.030","article-title":"Age-related differences in fatal intersection crashes in the United States","volume":"99","author":"Lombardi","year":"2017","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2020.105899_bib0150","series-title":"International Encyclopedia of the Social & Behavioral Sciences","first-page":"532","article-title":"Network centrality, measures of","author":"Marsden","year":"2015"},{"key":"10.1016\/j.aap.2020.105899_bib0155","article-title":"Characteristics of traffic crashes among young, middle-aged, and older drivers","author":"McGwin","year":"1999","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2020.105899_bib0160","series-title":"Contributing Factors to Run-Off-Road Crashes and Near-Crashes Final Report","author":"McLaughlin","year":"2009"},{"key":"10.1016\/j.aap.2020.105899_bib0165","series-title":"Cybersecurity and Applied Mathematics","first-page":"67","article-title":"Chapter 5 \u2013 graph theory","author":"Metcalf","year":"2016"},{"key":"10.1016\/j.aap.2020.105899_bib0170","series-title":"UD-10 Traffic Crash Report Instruction Manual","author":"Michigan Department of State Police","year":"2018"},{"key":"10.1016\/j.aap.2020.105899_bib0175","series-title":"Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications","author":"Miner","year":"2012"},{"key":"10.1016\/j.aap.2020.105899_bib0180","first-page":"1","article-title":"Networks in Transportation\u2013Theory","author":"Monteiro","year":"2012","journal-title":"Proc. Ctrf 47th Annual Conference"},{"issue":"3","key":"10.1016\/j.aap.2020.105899_bib0185","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1111\/j.1532-5415.2010.02729.x","article-title":"Predictors of lane-change errors in older drivers","volume":"58","author":"Munro","year":"2010","journal-title":"J. Am. Geriatr. Soc."},{"key":"10.1016\/j.aap.2020.105899_bib0190","series-title":"North Carolina Crash Report Instruction Manual","author":"North Carolina DOT","year":"2006"},{"key":"10.1016\/j.aap.2020.105899_bib0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2013.01.017","article-title":"Car crashes: the effect of passenger presence and other factors on driver outcome","author":"Orsi","year":"2013","journal-title":"Saf. Sci."},{"key":"10.1016\/j.aap.2020.105899_bib0200","first-page":"1","article-title":"Supervised topic models David","author":"Rafla","year":"2011","journal-title":"Conf. Proc. Midwest Symp. Circuits Syst. (Midwest Symp Circuits Syst)"},{"key":"10.1016\/j.aap.2020.105899_bib0205","doi-asserted-by":"crossref","DOI":"10.1016\/S0001-4575(99)00029-9","article-title":"Prevalence and characteristics of red light running crashes in the United States","author":"Retting","year":"1999","journal-title":"Accid. Anal. Prev."},{"issue":"4","key":"10.1016\/j.aap.2020.105899_bib0210","doi-asserted-by":"crossref","first-page":"1064","DOI":"10.1111\/ajps.12103","article-title":"Structural topic models for open-ended survey responses","volume":"58","author":"Roberts","year":"2014","journal-title":"Am. J. Pol. Sci."},{"issue":"515","key":"10.1016\/j.aap.2020.105899_bib0215","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1080\/01621459.2016.1141684","article-title":"A model of text for experimentation in the social sciences","volume":"111","author":"Roberts","year":"2016","journal-title":"J. Am. Stat. Assoc."},{"key":"10.1016\/j.aap.2020.105899_bib0220","doi-asserted-by":"crossref","first-page":"2","DOI":"10.18637\/jss.v091.i02","article-title":"Stm: r package for structural topic models","volume":"91","author":"Roberts","year":"2019","journal-title":"J. Stat. Softw."},{"issue":"March","key":"10.1016\/j.aap.2020.105899_bib0225","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.ssci.2019.03.014","article-title":"Temporal topic modeling applied to aviation safety reports: a subject matter expert review","author":"Robinson","year":"2019","journal-title":"Saf. Sci. 116"},{"issue":"March","key":"10.1016\/j.aap.2020.105899_bib0230","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.aap.2018.02.025","article-title":"What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers\u2019 opinions, and road accident records","volume":"115","author":"Rolison","year":"2018","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2020.105899_bib0235","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2019.07.021","article-title":"Topic analysis of Road safety inspections using latent dirichlet allocation: a case study of roadside safety in Irish main roads","author":"Roque","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2020.105899_bib0240","doi-asserted-by":"crossref","DOI":"10.3141\/1862-03","article-title":"Driver behavior characteristics at Urban signalized intersections","author":"Schattler","year":"2004","journal-title":"Transp. Res. Rec."},{"issue":"5","key":"10.1016\/j.aap.2020.105899_bib0245","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1016\/j.jsr.2007.06.003","article-title":"Body-pillar vision obstructions and lane-change crashes","volume":"38","author":"Sivak","year":"2007","journal-title":"J. Safety Res."},{"key":"10.1016\/j.aap.2020.105899_bib0250","article-title":"On estimation and selection for topic models","author":"Taddy","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.aap.2020.105899_bib0255","article-title":"Knowledge discovery of service satisfaction based on text analysis of critical incident dialogues and clustering methods","author":"Trappey","year":"2013","journal-title":"Proc. - 2013 IEEE 10th Int. Conf. E-Bus. Eng"},{"key":"10.1016\/j.aap.2020.105899_bib0260","series-title":"Initial Analyses From the SHRP 2 Naturalistic Driving Study: Addressing Driver Performance and Behavior in Traffic Safety","article-title":"Safer glances, driver inattention, and crash risk: an investigation using the SHRP 2 naturalistic driving study","author":"Victor","year":"2013"},{"key":"10.1016\/j.aap.2020.105899_bib0265","series-title":"Performance Characterization and Safety Effectiveness Estimates of Forward Collision Avoidance and Mitigation Systems for medium\/heavy Commercial Vehicles","author":"Woodrooffe","year":"2014"},{"issue":"3","key":"10.1016\/j.aap.2020.105899_bib0270","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1111\/rssc.12332","article-title":"Topic modelling for medical prescription fraud and abuse detection","volume":"68","author":"Zafari","year":"2019","journal-title":"J. R. Stat. Soc. Ser. C Appl. Stat."},{"key":"10.1016\/j.aap.2020.105899_bib0275","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2020.103089","article-title":"Deep learning and network analysis: classifying and visualizing accident narratives in construction","author":"Zhong","year":"2020","journal-title":"Autom. Constr."}],"container-title":["Accident Analysis & Prevention"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S000145752031719X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S000145752031719X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T23:17:25Z","timestamp":1757546245000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S000145752031719X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2]]},"references-count":55,"alternative-id":["S000145752031719X"],"URL":"https:\/\/doi.org\/10.1016\/j.aap.2020.105899","relation":{},"ISSN":["0001-4575"],"issn-type":[{"value":"0001-4575","type":"print"}],"subject":[],"published":{"date-parts":[[2021,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology","name":"articletitle","label":"Article Title"},{"value":"Accident Analysis & Prevention","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aap.2020.105899","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"105899"}}