{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T18:21:43Z","timestamp":1788632503437,"version":"build-2803163510"},"reference-count":69,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["2021R1C1C1006405"],"award-info":[{"award-number":["2021R1C1C1006405"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Accident Analysis & Prevention"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1016\/j.aap.2024.107527","type":"journal-article","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T18:15:32Z","timestamp":1709230532000},"page":"107527","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":11,"special_numbering":"C","title":["Critical risk factors associated with fatal\/severe crash outcomes in personal mobility device rider at-fault crashes: A two-step inter-cluster rule mining technique"],"prefix":"10.1016","volume":"199","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9605-8439","authenticated-orcid":false,"given":"Reuben","family":"Tamakloe","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1502-571X","authenticated-orcid":false,"given":"Kaihan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1566-3993","authenticated-orcid":false,"given":"Ahmed","family":"Hossain","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9711-7587","authenticated-orcid":false,"given":"Inhi","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shin Hyoung","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"7","key":"10.1016\/j.aap.2024.107527_b0005","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1080\/15568318.2020.1833117","article-title":"A comparative analysis of e-scooter and e-bike usage patterns: findings from the City of Austin","volume":"15","author":"Almannaa","year":"2021","journal-title":"TX. Int J Sustain Transp"},{"key":"10.1016\/j.aap.2024.107527_b0010","article-title":"Using cluster correspondence analysis to explore rainy weather crashes in Louisiana","volume":"036119812210825","author":"Ashifur Rahman","year":"2022","journal-title":"Transp. Res. Rec.: J. Transp. Res. Board"},{"issue":"4","key":"10.1016\/j.aap.2024.107527_b0015","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1080\/15389588.2014.952724","article-title":"Comparative analysis of risky behaviors of electric bicycles at signalized intersections","volume":"16","author":"Bai","year":"2015","journal-title":"Traffic Inj. Prev."},{"issue":"1","key":"10.1016\/j.aap.2024.107527_b0020","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.amjsurg.2020.07.020","article-title":"Standing electric scooter injuries: impact on a community","volume":"221","author":"Bloom","year":"2021","journal-title":"Am. J. Surg."},{"issue":"3","key":"10.1016\/j.aap.2024.107527_b0025","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1177\/03611981221113569","article-title":"Machine learning methods to analyze and predict crash injury severity based on contributing factors for Southeast Michigan","volume":"2677","author":"Cai","year":"2023","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2024.107527_b0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2021.105545","article-title":"Crash injury severity analysis of E-bike riders: a random parameters generalized ordered probit model with heterogeneity in means","volume":"146","author":"Chang","year":"2022","journal-title":"Saf. Sci."},{"issue":"2","key":"10.1016\/j.aap.2024.107527_b0035","doi-asserted-by":"crossref","first-page":"e13615","DOI":"10.1016\/j.heliyon.2023.e13615","article-title":"Differences in perception of safety in driving environment according to shared PMD user experience through multi-criteria analysis","volume":"9","author":"Cho","year":"2023","journal-title":"Heliyon"},{"key":"10.1016\/j.aap.2024.107527_b0040","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.jsr.2020.12.016","article-title":"Severity of e-scooter rider injuries associated with trip characteristics","volume":"76","author":"Cicchino","year":"2021","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2024.107527_b0045","series-title":"Road safety thematic report \u2013 personal mobility devices","author":"Commission","year":"2021"},{"issue":"34","key":"10.1016\/j.aap.2024.107527_b0055","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1177\/0361198118797212","article-title":"Using deep learning in severity analysis of at-fault motorcycle rider crashes","volume":"2672","author":"Das","year":"2018","journal-title":"Transp. Res. Rec."},{"key":"10.1016\/j.aap.2024.107527_b0060","article-title":"Fatal pedestrian crashes at intersections: trend mining using association rules","volume":"106306","author":"Das","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0065","article-title":"Understanding patterns of moped and seated motor scooter (50 cc or less) involved fatal crashes using cluster correspondence analysis","volume":"1\u201321","author":"Das","year":"2022","journal-title":"Transportmetrica a: Transport Science"},{"issue":"2","key":"10.1016\/j.aap.2024.107527_b0070","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1177\/03611981211037891","article-title":"Identifying patterns of key factors in sun glare-related traffic crashes","volume":"2676","author":"Das","year":"2022","journal-title":"Transp. Res. Rec.: J. Transp. Res. Board"},{"key":"10.1016\/j.aap.2024.107527_b0075","article-title":"Case study on the traffic collision patterns of E-scooter riders","author":"Das","year":"2023","journal-title":"Transportation Research Record: Journal of the Transportation Research Board."},{"key":"10.1016\/j.aap.2024.107527_b0080","doi-asserted-by":"crossref","unstructured":"A.K. Debnath N. Haworth Learning from Insurance Data: Injuries to Other Road Users in Motorcyclist at-Fault Crashes. 2016 10.3141\/2587-01 2587, 1-7. doi:10.3141\/2587-01.","DOI":"10.3141\/2587-01"},{"key":"10.1016\/j.aap.2024.107527_b0085","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.trf.2015.04.003","article-title":"Using naturalistic data to assess e-cyclist behavior","volume":"41","author":"Dozza","year":"2016","journal-title":"Transp Res Part F Traffic Psychol Behav"},{"key":"10.1016\/j.aap.2024.107527_b0090","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.aap.2013.06.011","article-title":"Understanding on-road practices of electric bike riders: an observational study in a developed city of China","volume":"59","author":"Du","year":"2013","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0095","unstructured":"European Commission, 2021b. Study on market development and related road safety risks for L-category vehicles and new personal mobility devices. Luxembourg."},{"key":"10.1016\/j.aap.2024.107527_b0100","article-title":"Micromobility injury events: motor vehicle crashes and other transportation systems factors","volume":"14","author":"Fang","year":"2022","journal-title":"Transp Res Interdiscip Perspect"},{"key":"10.1016\/j.aap.2024.107527_b0105","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.aap.2018.04.021","article-title":"Characteristics of single-vehicle crashes with e-bikes in Switzerland","volume":"117","author":"Hertach","year":"2018","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0110","doi-asserted-by":"crossref","DOI":"10.1016\/j.eastsj.2021.100049","article-title":"Safety evaluation of personal mobility vehicles and pedestrians under mixed traffic flow using traffic simulation","volume":"8","author":"Hishikawa","year":"2022","journal-title":"Asian Transport Studies"},{"key":"10.1016\/j.aap.2024.107527_b0115","doi-asserted-by":"crossref","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":"10.1016\/j.aap.2024.107527_b0120","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.aap.2017.08.016","article-title":"A comparative injury severity analysis of motorcycle at-fault crashes on rural and urban roadways in Alabama","volume":"108","author":"Islam","year":"2017","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0125","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.trf.2014.09.008","article-title":"Gender-related differences in distances travelled, driving behaviour and traffic accidents among university students","volume":"27 PA","author":"Jim\u00e9nez-Mej\u00edas","year":"2014","journal-title":"Transp Res Part F Traffic Psychol Behav"},{"key":"10.1016\/j.aap.2024.107527_b0130","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.jsr.2022.10.008","article-title":"Comparison of motor-vehicle involved e-scooter fatalities with other traffic fatalities","volume":"84","author":"Karpinski","year":"2023","journal-title":"J. Saf. Res."},{"issue":"3","key":"10.1016\/j.aap.2024.107527_b0135","doi-asserted-by":"crossref","first-page":"125","DOI":"10.20408\/jti.2018.040","article-title":"The new recreational transportation on the street: personal mobility, is it safe?","volume":"31","author":"Kim","year":"2018","journal-title":"Journal of Trauma and Injury"},{"issue":"7","key":"10.1016\/j.aap.2024.107527_b0140","doi-asserted-by":"crossref","first-page":"e0181362","DOI":"10.1371\/journal.pone.0181362","article-title":"Trends in the incidence and outcomes of bicycle-related injury in the emergency department: a nationwide population-based study in South Korea, 2012\u20132014","volume":"12","author":"Kim","year":"2017","journal-title":"PLoS One"},{"key":"10.1016\/j.aap.2024.107527_b0145","author":"KoROAD"},{"key":"10.1016\/j.aap.2024.107527_b0150","author":"Koti"},{"key":"10.1016\/j.aap.2024.107527_b0155","author":"Koti"},{"key":"10.1016\/j.aap.2024.107527_b0160","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.jsr.2023.07.006","article-title":"Electric personal mobility device driver behaviors, their antecedents and consequences: a narrative review","volume":"86","author":"Laverdet","year":"2023","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2024.107527_b0165","series-title":"Crashes involving electric personal mobility devices (ePMD) reported by the french police: types of crashes, users involved","author":"Laverdet","year":"2023"},{"key":"10.1016\/j.aap.2024.107527_b0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105954","article-title":"E-scooter safety: the riding risk analysis based on mobile sensing data","volume":"151","author":"Ma","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0175","doi-asserted-by":"crossref","unstructured":"Maiti, A., Vinayaga-Sureshkanth, N., Jadliwala, M., Wijewickrama, R., Griffin, G., 2022. Impact of E-Scooters on Pedestrian Safety: A Field Study Using Pedestrian Crowd-Sensing, in: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events (PerCom Workshops). IEEE, pp. 799\u2013805. doi:10.1109\/PerComWorkshops53856.2022.9767450.","DOI":"10.1109\/PerComWorkshops53856.2022.9767450"},{"key":"10.1016\/j.aap.2024.107527_b0180","doi-asserted-by":"crossref","first-page":"10","DOI":"10.18637\/jss.v091.i10","article-title":"Beyond tandem analysis: joint dimension reduction and clustering in R","volume":"91","author":"Markos","year":"2019","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.aap.2024.107527_b0185","author":"Ministry of Government Legislation"},{"key":"10.1016\/j.aap.2024.107527_b0190","doi-asserted-by":"crossref","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":"10.1016\/j.aap.2024.107527_b0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2021.106119","article-title":"Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes","volume":"155","author":"Montella","year":"2021","journal-title":"Accid. Anal. Prev."},{"issue":"3","key":"10.1016\/j.aap.2024.107527_b0200","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1016\/j.aap.2010.09.015","article-title":"Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and non-intersection locations","volume":"43","author":"Moore","year":"2011","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0205","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.aap.2016.06.008","article-title":"Exploring the impacts of factors contributing to tram-involved serious injury crashes on Melbourne tram routes","volume":"94","author":"Naznin","year":"2016","journal-title":"Accid. Anal. Prev."},{"issue":"2","key":"10.1016\/j.aap.2024.107527_b0210","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":"10.1016\/j.aap.2024.107527_b0215","doi-asserted-by":"crossref","unstructured":"Salim, F.D., Loke, S.W., Rakotonirainy, A., Srinivasan, B., Krishnaswamy, S., 2007. Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections, in: 2007 IEEE Intelligent Transportation Systems Conference. IEEE, pp. 161\u2013166. doi:10.1109\/ITSC.2007.4357693.","DOI":"10.1109\/ITSC.2007.4357693"},{"issue":"2","key":"10.1016\/j.aap.2024.107527_b0220","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1080\/17457300.2021.1907597","article-title":"Modelling bus-pedestrian crash severity in the state of Victoria, Australia","volume":"28","author":"Samerei","year":"2021","journal-title":"Int. J. Inj. Contr. Saf. Promot."},{"issue":"5","key":"10.1016\/j.aap.2024.107527_b0225","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1016\/j.aap.2006.12.016","article-title":"Probabilistic models of motorcyclists\u2019 injury severities in single- and multi-vehicle crashes","volume":"39","author":"Savolainen","year":"2007","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0230","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.jsr.2021.03.005","article-title":"Comparison of motor vehicle-involved e-scooter and bicycle crashes using standardized crash typology","volume":"77","author":"Shah","year":"2021","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2024.107527_b0235","unstructured":"Srikant, R., Vu, Q., Agrawal, R., 1997. Mining Association Rules with Item Constraints, in: 3rd International Conference on Knowledge Discovery and Data Mining. pp. 67\u201373."},{"key":"10.1016\/j.aap.2024.107527_b0240","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2021.106466","article-title":"Electric scooters accidents: analyses of two swedish accident data sets","volume":"163","author":"Stigson","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0245","article-title":"Exploring the heterogeneities of factors affecting e-bicyclist severities in delivery e-scooter crashes","volume":"1\u201324","author":"Sun","year":"2023","journal-title":"Journal of Transportation Safety & Security"},{"issue":"2","key":"10.1016\/j.aap.2024.107527_b0250","doi-asserted-by":"crossref","first-page":"43","DOI":"10.3390\/informatics10020043","article-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","volume":"10","author":"Tamakloe","year":"2023","journal-title":"Informatics"},{"key":"10.1016\/j.aap.2024.107527_b0255","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2023.107333","article-title":"Stability of factors influencing walking-along-the-road pedestrian injury severity outcomes under different lighting conditions: a random parameters logit approach with heterogeneity in means and out-of-sample predictions","volume":"193","author":"Tamakloe","year":"2023","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0260","article-title":"Key factors affecting motorcycle-barrier crash severity: an innovative cluster-regression technique","volume":"1\u201325","author":"Tamakloe","year":"2023","journal-title":"Transportmetrica a: Transport Science"},{"key":"10.1016\/j.aap.2024.107527_b0265","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1016\/j.aap.2012.07.022","article-title":"Impact speed and a pedestrian\u2019s risk of severe injury or death","volume":"50","author":"Tefft","year":"2013","journal-title":"Accid. Anal. Prev."},{"issue":"16","key":"10.1016\/j.aap.2024.107527_b0270","doi-asserted-by":"crossref","first-page":"10129","DOI":"10.3390\/ijerph191610129","article-title":"Characteristics and risk factors for electric scooter-related crashes and injury crashes among scooter riders: a two-phase survey study","volume":"19","author":"Tian","year":"2022","journal-title":"Int. J. Environ. Res. Public Health"},{"issue":"1","key":"10.1016\/j.aap.2024.107527_b0275","doi-asserted-by":"crossref","first-page":"e187381","DOI":"10.1001\/jamanetworkopen.2018.7381","article-title":"Injuries associated with standing electric scooter use","volume":"2","author":"Trivedi","year":"2019","journal-title":"JAMA Netw. Open"},{"key":"10.1016\/j.aap.2024.107527_b0280","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.trf.2022.06.015","article-title":"Unsafety on two wheels, or social prejudice? proxying behavioral reports on bicycle and e-scooter riding safety \u2013 a mixed-methods study","volume":"89","author":"Useche","year":"2022","journal-title":"Transp Res Part F Traffic Psychol Behav"},{"issue":"1","key":"10.1016\/j.aap.2024.107527_b0285","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1007\/s11336-016-9514-0","article-title":"Cluster correspondence analysis","volume":"82","author":"van de Velden","year":"2017","journal-title":"Psychometrika"},{"key":"10.1016\/j.aap.2024.107527_b0290","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.aap.2016.06.006","article-title":"Severity of road crashes involving pedestrians in metro Manila, Philippines","volume":"94","author":"Verzosa","year":"2016","journal-title":"Accid. Anal. Prev."},{"issue":"2","key":"10.1016\/j.aap.2024.107527_b0295","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1080\/15389588.2016.1228922","article-title":"Modeling faults among e-bike-related fatal crashes in China","volume":"18","author":"Wang","year":"2017","journal-title":"Traffic Inj. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0300","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.aap.2014.07.020","article-title":"Evaluation of e-bike accidents in Switzerland","volume":"73","author":"Weber","year":"2014","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2024.107527_b0305","article-title":"Risk prediction and factor analysis of rider\u2019s injury severity in passenger car and E-bike accidents based on interpretable machine learning","author":"Wei","year":"2022","journal-title":"Proceed. Inst. Mech. Eng. Part D: J. Automobile Eng."},{"key":"10.1016\/j.aap.2024.107527_b0315","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.jsr.2023.02.002","article-title":"What factors contribute to e-scooter crashes: a first look using a naturalistic riding approach","volume":"85","author":"White","year":"2023","journal-title":"J. Saf. Res."},{"key":"10.1016\/j.aap.2024.107527_b0320","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.aap.2019.06.002","article-title":"Unsafe riding behaviors of shared-bicycle riders in urban China: a retrospective survey","volume":"131","author":"Wu","year":"2019","journal-title":"Accid. Anal. Prev."},{"issue":"8","key":"10.1016\/j.aap.2024.107527_b0325","doi-asserted-by":"crossref","first-page":"e0256610","DOI":"10.1371\/journal.pone.0256610","article-title":"Quantifying the impact of COVID-19 on e-bike safety in China via multi-output and clustering-based regression models","volume":"16","author":"Yan","year":"2021","journal-title":"PLoS One"},{"key":"10.1016\/j.aap.2024.107527_b0330","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105608","article-title":"Safety of micro-mobility: analysis of E-scooter crashes by mining news reports","volume":"143","author":"Yang","year":"2020","journal-title":"Accid. Anal. Prev."},{"issue":"1","key":"10.1016\/j.aap.2024.107527_b0335","doi-asserted-by":"crossref","first-page":"49","DOI":"10.3141\/2314-07","article-title":"Traffic safety for electric bike riders in China","volume":"2314","author":"Yao","year":"2012","journal-title":"Transportation Research Record: Journal of the Transportation Research Board"},{"key":"10.1016\/j.aap.2024.107527_b0340","first-page":"1","article-title":"Exploring factors associated with cyclist injury severity in vehicle-electric bicycle crashes based on a random parameter logit model","volume":"2021","author":"Ye","year":"2021","journal-title":"J. Adv. Transp."},{"issue":"9","key":"10.1016\/j.aap.2024.107527_b0345","doi-asserted-by":"crossref","first-page":"1164","DOI":"10.1080\/19439962.2019.1579290","article-title":"Crash injury severity analyses with multilevel thresholds of change modelling approach for at-fault out-of-state drivers","volume":"12","author":"Yu","year":"2020","journal-title":"Journal of Transportation Safety & Security"},{"issue":"1","key":"10.1016\/j.aap.2024.107527_b0350","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/S0001-4575(99)00039-1","article-title":"Factors affecting the severity of motor vehicle traffic crashes involving elderly drivers in Ontario","volume":"32","author":"Zhang","year":"2000","journal-title":"Accid Anal Prev"},{"key":"10.1016\/j.aap.2024.107527_b0355","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.aap.2013.05.004","article-title":"Risk factors associated with traffic violations and accident severity in China","volume":"59","author":"Zhang","year":"2013","journal-title":"Accid. Anal. Prev."}],"container-title":["Accident Analysis & Prevention"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457524000721?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457524000721?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T23:41:11Z","timestamp":1757547671000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0001457524000721"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":69,"alternative-id":["S0001457524000721"],"URL":"https:\/\/doi.org\/10.1016\/j.aap.2024.107527","relation":{},"ISSN":["0001-4575"],"issn-type":[{"value":"0001-4575","type":"print"}],"subject":[],"published":{"date-parts":[[2024,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Critical risk factors associated with fatal\/severe crash outcomes in personal mobility device rider at-fault crashes: A two-step inter-cluster rule mining technique","name":"articletitle","label":"Article Title"},{"value":"Accident Analysis & Prevention","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aap.2024.107527","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107527"}}