{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T13:43:24Z","timestamp":1767966204955,"version":"3.49.0"},"reference-count":61,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T00:00:00Z","timestamp":1683849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>Studies have explored the factors influencing the safety of PTWs; however, very little has been carried out to comprehensively investigate the factors influencing fatal PTW crashes while considering the fault status of the rider in crash hotspot areas. This study employs spatio-temporal hotspot analysis and association rule mining techniques to discover hidden associations between crash risk factors that lead to fatal PTW crashes considering the fault status of the rider at statistically significant PTW crash hotspots in South Korea from 2012 to 2017. The results indicate the presence of consecutively fatal PTW crash hotspots concentrated within Korea\u2019s densely populated capital, Seoul, and new hotspots near its periphery. According to the results, violations such as over-speeding and red-light running were critical contributory factors influencing PTW crashes at hotspots during summer and at intersections. Interestingly, while reckless riding was the main traffic violation leading to PTW rider at-fault crashes at hotspots, violations such as improper safety distance and red-light running were strongly associated with PTW rider not-at-fault crashes at hotspots. In addition, while PTW rider at-fault crashes are likely to occur during summer, PTW rider not-at-fault crashes mostly occur during spring. The findings could be used for developing targeted policies for improving PTW safety at hotspots.<\/jats:p>","DOI":"10.3390\/informatics10020043","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T03:01:21Z","timestamp":1683860481000},"page":"43","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Risk Factors Influencing Fatal Powered Two-Wheeler At-Fault and Not-at-Fault Crashes: An Application of Spatio-Temporal Hotspot and Association Rule Mining Techniques"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9605-8439","authenticated-orcid":false,"given":"Reuben","family":"Tamakloe","sequence":"first","affiliation":[{"name":"Department of Transportation Engineering, University of Seoul, 163 Seoulsiripdae-ro Dongdaemun-gu, Seoul 02504, Republic of Korea"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,12]]},"reference":[{"key":"ref_1","unstructured":"WHO (World Health Organization) (2023, February 26). Death on the Roads. Available online: https:\/\/extranet.who.int\/roadsafety\/death-on-the-roads\/\/#country_or_area\/KOR."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"11471","DOI":"10.1007\/s13369-021-05944-6","article-title":"Calibrating the Highway Safety Manual Predictive Models for Multilane Rural Highway Segments in Saudi Arabia","volume":"46","author":"Jamal","year":"2021","journal-title":"Arab. J. Sci. Eng."},{"key":"ref_3","unstructured":"WHO (2017). Powered Two- and Three-Wheeler Safety: A Road Safety Manual for Decision-Makers and Practitioners, WHO."},{"key":"ref_4","unstructured":"WHO (2018). Global Status Report on Road Safety 2018, WHO."},{"key":"ref_5","unstructured":"NHTSA (2007). Traffic Safety Facts 2005: Motorcycles."},{"key":"ref_6","unstructured":"Johnston, P., Brooks, C., and Savage, H. (2008). Fatal and Serious Road Crashes Involving Motorcyclists."},{"key":"ref_7","unstructured":"OECD\/ITF (2015). Improving Safety for Motorcycle, Scooter and Moped Riders, OECD. ITF Research Reports."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1080\/17457300.2015.1088997","article-title":"Safety challenges of powered two-wheelers","volume":"22","author":"Tiwari","year":"2015","journal-title":"Int. J. Inj. Control Saf. Promot."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s10389-019-01047-7","article-title":"Modelling the risk factors for injury severity in motorcycle users in Ghana","volume":"28","author":"Aidoo","year":"2020","journal-title":"J. Public Health"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"105548","DOI":"10.1016\/j.aap.2020.105548","article-title":"Quantifying accident risk and severity due to speed from the reaction point to the critical conflict in fatal motorcycle accidents","volume":"141","author":"Murphy","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.jsr.2020.09.009","article-title":"Why are powered two wheeler riders still fatally injured in road junction crashes?\u2014A causation analysis","volume":"75","author":"Talbot","year":"2020","journal-title":"J. Saf. Res."},{"key":"ref_12","first-page":"471","article-title":"Time series and support vector machines to predict powered-two-wheeler accident risk and accident type propensity: A combined approach","volume":"10","author":"Theofilatos","year":"2018","journal-title":"J. Transp. Saf. Secur."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"54","DOI":"10.3141\/2265-06","article-title":"Factors Associated with Motorcycle Crashes in New South Wales, Australia, 2004 to 2008","volume":"2265","author":"Senserrick","year":"2011","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.iatssr.2017.11.001","article-title":"Road characteristics and environment factors associated with motorcycle fatal crashes in Malaysia","volume":"42","author":"Hashim","year":"2018","journal-title":"IATSS Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"105251","DOI":"10.1016\/j.aap.2019.07.027","article-title":"A data mining approach to investigate patterns of powered two-wheeler crashes in Spain","volume":"134","author":"Montella","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"106133","DOI":"10.1016\/j.aap.2021.106133","article-title":"Measuring the spatiotemporal evolution of accident hot spots","volume":"157","author":"Matisziw","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.aap.2008.12.010","article-title":"Modeling fault among motorcyclists involved in crashes","volume":"41","author":"Haque","year":"2009","journal-title":"Accid. Anal. Prev."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.aap.2011.09.051","article-title":"Traffic safety among motorcyclists in Norway: A study of subgroups and risk factors","volume":"49","author":"Akhtar","year":"2012","journal-title":"Accid. Anal. Prev."},{"key":"ref_19","unstructured":"Bj\u00f8rnskau, T. (2009). Road Traffic Exposure and Risk among High-Risk Groups in Norway, Insitute of Transport Economics Norwegian Centre for Transport Reserch."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1016\/j.aap.2009.12.020","article-title":"Why some road safety problems are more difficult to solve than others","volume":"42","author":"Elvik","year":"2010","journal-title":"Accid. Anal. Prev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.trf.2009.04.003","article-title":"Hazard perception abilities of experienced and novice motorcyclists: An interactive simulator experiment","volume":"12","author":"Liu","year":"2009","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.trf.2016.11.003","article-title":"Contributing factors to motorcycle injury crashes in Victoria, Australia","volume":"45","author":"Allen","year":"2017","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.jsr.2014.12.005","article-title":"A case study analysis to examine motorcycle crashes in Bogota, Colombia","volume":"52","author":"Jimenez","year":"2015","journal-title":"J. Saf. Res."},{"key":"ref_24","unstructured":"Simone, A., Vignali, V., and Marinelli, M. (2007, January 12\u201314). Intersections design and powered two wheelers interaction: Experimental investigation of an accident prediction model. Proceedings of the 4th International SIIV Congress, Palermo, Italy."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/s13017-022-00412-4","article-title":"Motorized 2\u20133 wheelers death rates over a decade: A global study","volume":"17","author":"Yasin","year":"2022","journal-title":"World J. Emerg. Surg."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Ijaz, M., Liu, L., Almarhabi, Y., Jamal, A., Usman, S.M., and Zahid, M. (2022). Temporal Instability of Factors Affecting Injury Severity in Helmet-Wearing and Non-Helmet-Wearing Motorcycle Crashes: A Random Parameter Approach with Heterogeneity in Means and Variances. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph191710526"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1412","DOI":"10.1080\/13588265.2021.1959153","article-title":"Investigation of factors influencing motorcyclist injury severity using random parameters logit model with heterogeneity in means and variances","volume":"27","author":"Ijaz","year":"2021","journal-title":"Int. J. Crashworthiness"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1080\/15389588.2021.1987421","article-title":"Risk factors associated with the increase of injury severity of powered two wheelers road accidents victims in Portugal","volume":"22","author":"Santos","year":"2021","journal-title":"Traffic Inj. Prev."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"106094","DOI":"10.1016\/j.aap.2021.106094","article-title":"A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw","volume":"154","author":"Ijaz","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"6","DOI":"10.3141\/1746-02","article-title":"Development of Artificial Neural Network Models to Predict Driver Injury Severity in Traffic Accidents at Signalized Intersections","volume":"1746","author":"Abdelwahab","year":"2001","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1080\/15389588.2016.1177637","article-title":"Risk drivers pose to themselves and other drivers by violating traffic rules","volume":"18","author":"Penmetsa","year":"2017","journal-title":"Traffic Inj. Prev."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1007\/s40999-017-0180-0","article-title":"Identifying the Most Important Factors in the At-Fault Probability of Motorcyclists by Data Mining, Based on Classification Tree Models","volume":"15","author":"Anvari","year":"2017","journal-title":"Int. J. Civ. Eng."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.aap.2018.07.036","article-title":"Modeling and comparing injury severity of at-fault and not at-fault drivers in crashes","volume":"120","author":"Duddu","year":"2018","journal-title":"Accid. Anal. Prev."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.ijtst.2019.10.002","article-title":"Analyzing injury severity of motorcycle at-fault crashes using machine learning techniques, decision tree and logistic regression models","volume":"9","author":"Rezapour","year":"2020","journal-title":"Int. J. Transp. Sci. Technol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"13147","DOI":"10.1038\/s41598-021-91392-z","article-title":"Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19","volume":"11","author":"Lin","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"103118","DOI":"10.1016\/j.jtrangeo.2021.103118","article-title":"Exploring the spatial impacts of human activities on urban traffic crashes using multi-source big data","volume":"94","author":"Bao","year":"2021","journal-title":"J. Transp. Geogr."},{"key":"ref_37","first-page":"100183","article-title":"Time-of-day variations and the temporal instability of multi-vehicle crash injury severities under the influence of alcohol or drugs after the Great Recession","volume":"32","author":"Song","year":"2021","journal-title":"Anal. Methods Accid. Res."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/j.jsr.2020.09.004","article-title":"Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology","volume":"75","author":"Jiang","year":"2020","journal-title":"J. Saf. Res."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Lee, Y., and Kim, D.-S. (2020). Internal Migration in the Countries of Asia, Springer International Publishing.","DOI":"10.1007\/978-3-030-44010-7_6"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1016\/j.cstp.2021.03.011","article-title":"Bikeshare trips in Seoul, South Korea","volume":"9","author":"Lee","year":"2021","journal-title":"Case Stud. Transp. Policy"},{"key":"ref_41","unstructured":"OECD (2021, June 21). OECD Stat. Available online: https:\/\/stats.oecd.org\/index.aspx?queryid=73639."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.aap.2013.08.024","article-title":"Injury severity in delivery-motorcycle to vehicle crashes in the Seoul metropolitan area","volume":"62","author":"Chung","year":"2014","journal-title":"Accid. Anal. Prev."},{"key":"ref_43","unstructured":"WHO (World Health Organization) (2022, May 13). Death on the Roads. Available online: https:\/\/extranet.who.int\/roadsafety\/death-on-the-roads\/#country_or_area\/GHA."},{"key":"ref_44","first-page":"917","article-title":"Injury Severity Analysis of Cyclists in Two Wheeler to Taxi Crashes: An Application of Vehicle Black Box Data in Incheon, Korea","volume":"38","author":"Kim","year":"2018","journal-title":"J. Korean Soc. Civ. Eng."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Park, H.-C., Joo, Y.-J., Kho, S.-Y., Kim, D.-K., and Park, B.-J. (2019). Injury Severity of Bus\u2013Pedestrian Crashes in South Korea Considering the Effects of Regional and Company Factors. Sustainability, 11.","DOI":"10.3390\/su11113169"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"245","DOI":"10.2307\/1907187","article-title":"Nonparametric tests against trend","volume":"13","author":"Mann","year":"1945","journal-title":"Econometrica"},{"key":"ref_47","unstructured":"Kendall, M.G., and Gibbons, J.D. (1990). Rank Correlation Methods, Oxford University Press. [5th ed.]."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.ssci.2007.12.001","article-title":"Market basket analysis of crash data from large jurisdictions and its potential as a decision support tool","volume":"47","author":"Pande","year":"2009","journal-title":"Saf. Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"105497","DOI":"10.1016\/j.aap.2020.105497","article-title":"Application of association rules mining algorithm for hazardous materials transportation crashes on expressway","volume":"142","author":"Hong","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.jsr.2020.12.004","article-title":"Data mining approach to model bus crash severity in Australia","volume":"76","author":"Samerei","year":"2021","journal-title":"J. Saf. Res."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.aap.2016.03.017","article-title":"Investigation of work zone crash casualty patterns using association rules","volume":"92","author":"Weng","year":"2016","journal-title":"Accid. Anal. Prev."},{"key":"ref_52","unstructured":"R Core Team (2019). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing. Available online: https:\/\/www.R-project.org\/."},{"key":"ref_53","first-page":"49","article-title":"Strategy of Food Retailer and Delivery Rider\u2019s Accident in South Korea","volume":"18","author":"Kwak","year":"2020","journal-title":"J. Distrib. Sci."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Tamakloe, R., and Park, D. (2022). Factors influencing fatal vehicle-involved crash consequence metrics at spatio-temporal hotspots in South Korea: Application of GIS and machine learning techniques. Int. J. Urban Sci., 1\u201335.","DOI":"10.1080\/12265934.2022.2134182"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.aap.2019.07.026","article-title":"Endogenous commercial driver\u2019s traffic violations and freight truck-involved crashes on mainlines of expressway","volume":"131","author":"Hong","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"ref_56","unstructured":"Kodaka, K., Otabe, M., Urai, Y., and Koike, H. (2021, June 28). Rear-End Collision Velocity Reduction System. Available online: http:\/\/www.jstor.org\/stable\/44745417."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"82","DOI":"10.3141\/2194-10","article-title":"Right-Angle Crash Vulnerability of Motorcycles at Signalized Intersections","volume":"2194","author":"Haque","year":"2010","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"key":"ref_58","first-page":"157","article-title":"Characteristics of Motorcycle Crashes of Food Delivery Workers","volume":"36","author":"Byun","year":"2017","journal-title":"J. Ergon. Soc. Korea"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.aap.2013.03.014","article-title":"Modeling offenses among motorcyclists involved in crashes in Spain","volume":"56","author":"Rodrigo","year":"2013","journal-title":"Accid. Anal. Prev."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"198","DOI":"10.7470\/jkst.2014.32.3.198","article-title":"Characteristics and Influencing Factors of Red Light Running (RLR) Crashes","volume":"32","author":"Park","year":"2014","journal-title":"J. Korean Soc. Transp."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Campbell, B.N., Smith, J.D., and Najm, W. (2004). Analysis of Fatal Crashes Due to Signal and Stop Sign Violations.","DOI":"10.1037\/e495452008-001"}],"container-title":["Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2227-9709\/10\/2\/43\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:33:31Z","timestamp":1760124811000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2227-9709\/10\/2\/43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,12]]},"references-count":61,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2023,6]]}},"alternative-id":["informatics10020043"],"URL":"https:\/\/doi.org\/10.3390\/informatics10020043","relation":{},"ISSN":["2227-9709"],"issn-type":[{"value":"2227-9709","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,12]]}}}