{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T13:00:26Z","timestamp":1791896426828,"version":"4.3.4"},"reference-count":40,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T00:00:00Z","timestamp":1593648000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fund for Less Developed Regions of the National Natural Science Foundation of China","award":["71861006"],"award-info":[{"award-number":["71861006"]}]},{"name":"Natural Science Foundation of Zhejiang Province, China","award":["LY20E080011"],"award-info":[{"award-number":["LY20E080011"]}]},{"name":"National Key Research and Development Program of China-Traffic Modeling, Surveillance and Control with Connected and Automated Vehicles","award":["2017YFE9134700"],"award-info":[{"award-number":["2017YFE9134700"]}]},{"name":"Basic Research Program of Science and Technology Commission Foundation of Jiangsu Province","award":["BK20180775"],"award-info":[{"award-number":["BK20180775"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>To identify and quantify the factors that influence the risky riding behaviors of electric bike riders, we designed an e-bike rider behavior questionnaire (ERBQ) and obtained 573 valid samples through tracking surveys and random surveys. An exploratory factor analysis was then conducted to extract four scales: riding confidence, safety attitude, risk perception, and risky riding behavior. Based on the exploratory factor analysis, a structural equation model (SEM) of electric bike riding behaviors was constructed to explore the intrinsic causal relationships among the variables that affect the risky e-bike riding behavior. The results show that the relationship between riding confidence and risky riding behavior is mediated by risk perception and safety attitudes. Safety attitude was found to be significantly associated with risky riding behaviors. Specifically, herd mentality is most closely related to safety attitudes, which means that those engaged in e-bike traffic management and safety education should pay special attention to riders\u2019 psychological management and education. Risk perception has a direct path to risky riding behaviors. Specifically, stochastic evaluation and concern degree are significantly related to e-bike riders\u2019 risk perception. The findings of this study provide an empirical basis for the creation of safety interventions for e-bike riders in China.<\/jats:p>","DOI":"10.3390\/ijerph17134763","type":"journal-article","created":{"date-parts":[[2020,7,3]],"date-time":"2020-07-03T06:51:20Z","timestamp":1593759080000},"page":"4763","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["Analyzing E-Bikers\u2019 Risky Riding Behaviors, Safety Attitudes, Risk Perception, and Riding Confidence with the Structural Equation Model"],"prefix":"10.3390","volume":"17","author":[{"given":"Tao","family":"Wang","sequence":"first","affiliation":[{"name":"School of Architecture and Transportation, Guilin University of Electronic Technology, Jinji Road 1#, Guilin 541004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sihong","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Architecture and Transportation, Guilin University of Electronic Technology, Jinji Road 1#, Guilin 541004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8795-4955","authenticated-orcid":false,"given":"Xiaofei","family":"Ye","sequence":"additional","affiliation":[{"name":"Faculty of Maritime and Transportation, Ningbo University, Fenghua Road 818#, Ningbo 315211, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingchen","family":"Yan","sequence":"additional","affiliation":[{"name":"College of Automobile and Traffic Engineering, Nanjing Forestry University, Longpan Road 159#, Nanjing 210037, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2360-3712","authenticated-orcid":false,"given":"Jun","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Transportation, Southeast University, Dongnandaxue Road 2#, Jiangning Development Zone, Nanjing 211189, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenyong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Architecture and Transportation, Guilin University of Electronic Technology, Jinji Road 1#, Guilin 541004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,7,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ma, C., Yang, D., Zhou, J., Feng, Z., and Yuan, Q. (2019). Risk riding behaviors of urban e-bikes: A literature review. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16132308"},{"key":"ref_2","unstructured":"SoHo (2019, March 09). The Number of E-Bikes in China Has Exceeded 250 Million. Available online: http:\/\/www.sohu.com\/a\/275816334_114771."},{"key":"ref_3","unstructured":"Administration Bureau of China State Security Ministry (2016). China Road Traffic Accidents Statistics Report."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1080\/15389588.2018.1511898","article-title":"Awareness, riding behaviors, and legislative attitudes toward electric bikes among two types of road users: An investigation in Tianjin, a municipality in China","volume":"20","author":"Wang","year":"2019","journal-title":"Traffic Inj. Prev."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1080\/01441647.2015.1069907","article-title":"E-bikes in the Mainstream: Reviewing a Decade of Research","volume":"36","author":"Fishman","year":"2016","journal-title":"Transp. Rev."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1146\/annurev.clinpsy.1.102803.144239","article-title":"Structural Equation Modelling: Strengths, Limitations, and Misconceptions","volume":"1","author":"Tomarken","year":"2005","journal-title":"Annu. Rev. Clin. Psychol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1080\/18128602.2010.548837","article-title":"Service quality effects on air passenger intentions: A service chain perspective","volume":"8","author":"Chiou","year":"2012","journal-title":"Transportmetrica"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/S0925-7535(01)00077-7","article-title":"Personality, attitudes and risk perception as predictors of risky driving behaviour among young drivers","volume":"41","author":"Ulleberg","year":"2003","journal-title":"Saf. Sci."},{"key":"ref_9","first-page":"288","article-title":"Factors causing aberrant driving behaviors: A model of problem drivers in China","volume":"10","author":"Jing","year":"2018","journal-title":"J. Transp. Saf. Secur."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1016\/j.trf.2019.02.004","article-title":"An analysis of the relationship between driver characteristics and driving safety using structural equation models","volume":"62","author":"Zhao","year":"2019","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.aap.2018.01.031","article-title":"The traffic climate in China: The mediating effect of traffic safety climate between personality and dangerous driving behavior","volume":"113","author":"Zhang","year":"2018","journal-title":"Accid. Anal. Prev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1016\/j.trf.2019.03.016","article-title":"Traffic climate and driver behaviors: Explicit and implicit measures","volume":"62","author":"Uzumcuoglu","year":"2019","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.trf.2009.07.001","article-title":"Conditions for speeding behaviour: A comparison of car drivers and powered two wheeled riders","volume":"12","author":"Broughton","year":"2009","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1016\/j.aap.2009.05.013","article-title":"Personality, safety attitudes and risky driving behaviors-Evidence from young Taiwanese motorcyclists","volume":"41","author":"Chen","year":"2009","journal-title":"Accid. Anal. Prev."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1016\/j.trf.2016.09.032","article-title":"Analysis of correlations between psychological factors and self-reported behavior of motorcyclists in Malaysia, depending on self-reported usage of different types of motorcycle facility","volume":"46","author":"Sukor","year":"2017","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1080\/15389588.2013.817669","article-title":"Related risk factors for injury severity of e-bike and bicycle crashes in Hefei","volume":"15","author":"Hu","year":"2014","journal-title":"Traffic Inj. Prev."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2142659","DOI":"10.1155\/2017\/2142659","article-title":"Evaluation of Factors Affecting E-Bike Involved Crash and E-Bike License Plate Use in China Using a Bivariate Probit Model","volume":"2017","author":"Guo","year":"2017","journal-title":"J. Adv. Transp."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Yan, X.C., Wang, T., Ye, X.F., Chen, J., Yang, Z., and Bai, H. (2018). Recommended Widths for Separated Bicycle Lanes Considering Abreast Riding and Overtaking. Sustainability, 10.","DOI":"10.3390\/su10093127"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.aap.2014.10.014","article-title":"A hazard-based duration model for analyzing crossing behavior of cyclists and electric bike riders at signalized intersections","volume":"74","author":"Yang","year":"2015","journal-title":"Accid. Anal. Prev."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.aap.2014.09.010","article-title":"The safety of electrically assisted bicycles compared to classic bicycles","volume":"73","author":"Schepers","year":"2014","journal-title":"Accid. Anal. Prev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"49","DOI":"10.3141\/2314-07","article-title":"Traffic safety for electric bike riders in china: Attitudes, risk perception, and aberrant riding behaviors","volume":"24","author":"Yao","year":"2012","journal-title":"Transp. Res. Rec."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1080\/15389588.2019.1655144","article-title":"Effects of personality traits and sociocognitive determinants on risky riding behaviors among Chinese e-bikers","volume":"20","author":"Zheng","year":"2019","journal-title":"Traffic Inj. Prev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1177\/0361198118758334","article-title":"Impact of Curbside Parking on Bicycle Lane Capacity in Nanjing, China","volume":"2672","author":"Ye","year":"2018","journal-title":"Transp. Res. Rec."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"92","DOI":"10.3141\/2024-11","article-title":"Forecasting of short-term freeway volume with v-support vector machines","volume":"2024","author":"Zhang","year":"2007","journal-title":"Transp. Res. Rec."},{"key":"ref_25","first-page":"830","article-title":"User Perception Modeling by Combining Structural Equation Model and Artificial Neural Network","volume":"53","author":"Yan","year":"2019","journal-title":"J. Shanghai Jiaotong Univ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s10109-013-0186-3","article-title":"Hedonic price models with omitted variables and measurement errors: A constrained autoregression-structural equation modeling approach with application to urban Indonesia","volume":"16","author":"Suparman","year":"2014","journal-title":"J. Geogr. Syst."},{"key":"ref_27","first-page":"520","article-title":"Psycho-intentional analysis for the factors leading to fatigue driving based on the Bayesian-SEM","volume":"19","author":"Deng","year":"2019","journal-title":"J. Saf. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1080\/10705511.2016.1268923","article-title":"Fit Index to Assess Model Fit and Detect Omitted Terms in Nonlinear SEM","volume":"24","author":"Carla","year":"2017","journal-title":"Struct. Equ. Model."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.techfore.2018.05.020","article-title":"Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach","volume":"134","author":"Raut","year":"2018","journal-title":"Technol. Forecast Soc. Chang."},{"key":"ref_30","unstructured":"Gliem, J.A., and Gliem, R.R. (2003, January 8\u201310). Calculating, interpreting, and reporting Cronbach\u2019s alpha reliability coefficient for Likert-type scales. Proceedings of the Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education, Columbus, OH, USA."},{"key":"ref_31","unstructured":"Wong, J.T., Chang, Y.H., and Huang, S.H. (2009, January 11\u201315). Some Insights of Young Motorcyclists\u2019 Risky Behavior. Proceedings of the Transportation Research Board 88th Annual Meeting, Washington, DC, USA."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0925-7535(02)00047-4","article-title":"Risk perception and driving behavior among adolescents in two Norwegian counties before and after a traffic safety campaign","volume":"42","author":"Rundmo","year":"2004","journal-title":"Saf. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/j.aap.2007.08.010","article-title":"Relationships between young drivers\u2019 personality characteristics, risk perceptions, and driving behavior","volume":"40","author":"Machin","year":"2008","journal-title":"Accid. Anal. Prev."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0191-2615(01)00046-7","article-title":"Structural equation modeling for travel behavior research","volume":"37","author":"Golob","year":"2003","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_35","first-page":"1","article-title":"Analyzing Drivers\u2019 Intention to Accept Parking App by Structural Equation Model","volume":"2020","author":"Yang","year":"2020","journal-title":"J. Adv. Transp."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10705519909540118","article-title":"Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives","volume":"6","author":"Hu","year":"1999","journal-title":"Struct. Equ. Model."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.trb.2019.09.005","article-title":"Multiclass information flow propagation control under vehicle-to-vehicle communication environments","volume":"129","author":"Wang","year":"2019","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.trb.2019.08.002","article-title":"A real-time deployable model predictive control-based cooperative platooning approach for connected and autonomous vehicles","volume":"128","author":"Wang","year":"2019","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.trb.2019.05.022","article-title":"Multiclass traffic assignment model for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles","volume":"126","author":"Wang","year":"2019","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.trc.2016.08.018","article-title":"A study of pedestrian group behaviors in crowd evacuation based on an extended floor field cellular automaton model","volume":"81","author":"Lu","year":"2017","journal-title":"Transp. Res. Part C Emer."}],"container-title":["International Journal of Environmental Research and Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1660-4601\/17\/13\/4763\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:46:23Z","timestamp":1760175983000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1660-4601\/17\/13\/4763"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,2]]},"references-count":40,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2020,7]]}},"alternative-id":["ijerph17134763"],"URL":"https:\/\/doi.org\/10.3390\/ijerph17134763","relation":{},"ISSN":["1660-4601"],"issn-type":[{"value":"1660-4601","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,2]]}}}