ABSTRACT
ObjectiveTo explore the status and influencing factors of electric bicycle （e-bike）-related traffic injury in Songjiang District of Shanghai， and to provide reference for prevention and control of the injury. MethodsA self-designed questionnaire was used to investigate the community residents over 16 years old who rode e-bike in Songjiang Western Industrial Zone. The survey included general demographic characteristics， physical and psychological conditions， e-bike use， accidents and injuries. Descriptive analysis， chi-square test and Fisher's exact probability method were used to explore the influencing factors of traffic injury by e-bike in Songjiang District. Results1 030 questionnaires were distributed and 1 013 valid questionnaires were recovered. The effective rate of the questionnaire was 98.35%. From June 2020 to May 2021， the incidence of e-bike traffic accidents in Songjiang Western Industrial Zone was 17.47% and the incidence of injuries was 12.64%. The difference between e-bike accident group and non accident group was statistically significant （P<0.05） in the following factors： gender， registered residence， educational level， sleeping time， fatigue， violation of traffic regulations including speed limit 25 km‧h-1 and crossing of red traffic lights， riding after alcohol drinking， riding speed higher than 30 km‧h-1， riding on the phone， wearing headset， turning without prompting signal， riding on the lane of motor vehicles，and e-bike life. The top three injured body parts were limb pelvis （48.10%）， body surface （27.85%） and head （13.92%）. The nature of injury was mainly contusion / abrasion （82.03%）， followed by fracture （17.19%）. ConclusionThe incidence of e-bike traffic accidents in Songjiang District is high. We should strengthen the traffic safety education of e-bike riders， strengthen the road traffic control， and reduce the occurrence of e-bike road traffic accidents in Songjiang District.
ABSTRACT
Objective@#To learn the characteristics of road traffic injury cases caused by electric bicycles in Changshan County from 2013 to 2016,and to provide evidence for the development of preventive measures or traffic regulations.@*Methods@#The surveillance data of road traffic injuries caused by electric bicycles was collected from the hospital-based product injury monitoring system in Changshan County during 2013-2016. The descriptive epidemiologic analysis on demographic characteristics,body parts and degree of injury was conducted.@*Results@#A total of 7 078 road traffic injury cases caused by electric bicycles were reported from 2013 to 2016,accounting for 49.58% of road traffic injuries. The proportion of electric bicycle injuries was higher in females than in males（P<0.05）. There were 4 893 cases aged 30-64 years,accounting for 69.13%;5 562 cases with an education level of junior high school or below,accounting for 78.58%;2 005 cases occurring from July to September,accounting for 28.33%;5 216 cases occurring from 8:00 to 19:00,accounting for 73.69%. The injury mainly lay in head,accounting for 30.77%（2 178 cases）. Most injuries were flesh wounds,accounting for 74.96%（5 306 cases）. Most cases went home after treatment,accounting for 76.09%（5 386 cases）.@*Conclusion@#The incidence of road traffic injury caused by electric bicycles is high in Changshan County. Improving the safety awareness of women and people aged 30-64 years should be focused on.
ABSTRACT
Objective To understand the prevalence of unsafe riding practice among electric bicycle riders,and to provide scientific basis for intervention strategies in Ma'anshan city of Anhui Province.Methods Observational method was used to observe electric bicycle riders' behavior of running red light,wearing a helmet,and manned act.The radar speed measuring instrument was used to measure the speed of electric bicycle.Results The rate of electric bicycle riders' running red light was 13.09％ (1 285/9 815),helmet wearing rate was 5.90％ (1 510/25 576),and manned rate was 20.28％ (5 187/25 576).The average speed was 24 ki/h,and the electric bicycles whose speed were ＞ 20 km/h accounted for 74.60％.There were significant differences in the running red light rate,helmet wearing rate and the average speed of travel among different time periods and dates (all P ＜ 0.05).More running the red light occurred during 13:30-14:30 and 15:00-16:00.Less helmet wearing occurred during 10:00-11:00 and 08:30-09:30.The periods with highest average speed were at07:00-08:00,08:30-09:30,11:30-12:30,and 13:30-14:30,which was 24 km/h.The helmet wearing rate of females (6.54％) was higher than that of males(5.46％),the men's average speed (24 km/h) was higher than women's (23 ki/h),and the differences were both statistically significant(all P ＜ 0.001).Conclusion The electric bicycle riders in Ma'anshan city of Anhui Province have the dangerous behavior of running red lights,not wearing a helmet,manned act and speeding.Targeted interventions should be taken to reduce the occurrence of related risk behaviors.