Speeds of Young E-Cyclists on Urban Streets and Related Risk Factors: An Observational Study in Israel

Interactive effects analysis of road, traffic, and weather characteristics on shared e-bike speeding risk: A data-driven approach

As electric bikes (e-bikes) rapidly develop in China, their traffic safety issues are becoming increasingly prominent. Accurately detecting risky riding behaviors and conducting mechanism analysis on the multiple risk factors are crucial in formulating and implementing precise management policies. The emergence of shared e-bikes and the advancements in interpretable machine learning present new opportunities for accurately analyzing the determinants of risky riding behaviors. The primary objective of this study is to examine and analyze the risk factors related to speeding behavior to aid urban management agencies in crafting necessary management policies. This study utilizes a large-scale dataset of shared e-bike trajectory data to establish a framework for detecting speeding behavior. Subsequently, the extreme gradient boosting (XGBoost) model is employed to identify the level of speeding risk by leveraging its excellent identification ability. Moreover, based on measuring the degree of interaction among road, traffic, and weather characteristics, the investigation of the complex interactive effects of these risk factors on high-risk speeding is conducted using bivariate partial dependence plots (PDP) by its superior parsing ability. Feature importance analysis results indicate that the top five ranked variables that significantly affect the identified results of speed risk levels are land use density, rainfall, road level, curbside parking density, and bike lane width. The interaction analysis results indicate that higher levels of road and bike lane width correspond to an increased possibility of high-risk speeding among riders. Land use density, curbside parking density, and rainfall display a nonlinear effect on high-risk speeding. Introducing road level, bike lane width, and time interval could change the patterns of nonlinear effects in land use density, curbside parking density, and rainfall. Finally, several policy recommendations are proposed to improve e-bike traffic safety by utilizing the extracted feature values associated with a higher probability of high-risk speeding.

Trends in Head and Neck Injuries Related to Electric Versus Pedal Bicycle Use in the United States

OBJECTIVES

To describe the incidence of head and neck trauma related to electric bicycles and to characterize head and neck injury patterns seen in electric bicycle (eBike) users versus pedal bicyclists in the United States.

METHODS

The National Electronic Injury Surveillance System (NEISS) was queried from 2009 to 2020 for patients with head and neck injuries related to electric and pedal bicycles. Extracted data included patient demographics, injury patterns, hospital admission, and helmet use. Univariate chi-squared analyses were performed to compare demographics and injury patterns between bicycle groups. Effect sizes were reported with Cramer V values (V).

RESULTS

The incidence of eBike-related head and neck injuries increased from 2993 in 2009 to 9916 in 2020. Compared to pedal bicycle users, eBike users were more likely to have head injuries (60.4% vs. 52.0%) and fractures (10.9% vs. 6.0%), and were more likely to require hospitalization (20.6% vs. 10.4%). The effect size of helmet use was significantly greater in eBike users compared to pedal bicyclists when examining distributions of age group (V = 0.203 vs. V = 0.079), injury location (V = 0.220 vs. V = 0.082), and injury type (V = 0.162 vs. V = 0.059). Helmeted injuries in eBike users more commonly involved neck injuries and sprains, rather than head injuries and fractures.

CONCLUSION

Head and neck trauma related to eBike use is increasing in the United States. Injury patterns and admission rates reflect greater injury severity in eBike users compared to pedal bicyclists. Helmet use may be particularly beneficial in mitigating head and neck injury in eBike users.

LEVEL OF EVIDENCE

3 Laryngoscope, 134:2734-2740, 2024.

"It's a kind of freedom": adolescents and parents speak about motivations for active travel and COVID-19

PURPOSE

Active travel (AT) incorporates physical activity into daily living, critical for healthy adolescent development. We explore adolescent and parent attitudes and behaviours related to motivations for adolescent AT and effects of the COVID-19 pandemic.

METHODS

We conducted semi-structured Zoom interviews with 25 adolescent-parent dyads in communities across Israel during early stages of the COVID-19 pandemic. Thematic content analysis was used to develop categories and themes.

RESULTS

We identified key themes related to adolescent AT: Fostering independence enables adolescent AT; Pampering and safety concerns inhibit adolescent AT; Family and community norms influence adolescent travel modes; Personal enjoyment and positive attitudes facilitate AT; Peers and social networks promote adolescent AT and PA; Built environment and transport options influence AT choices. Interestingly, adolescents indicate AT is an opportunity for peer-to-peer communication without screen distraction, yet they use social media to promote AT and PA.

CONCLUSIONS

The findings point to the influence of positive parent perceptions, active and supportive family and community norms on adolescent AT. Peer norms and social networks as well as features of the built environment also have the potential to influence AT. The COVID-19 pandemic encouraged use of AT and provided a setting for positive AT experiences.

Ocular injuries associated with two-wheeled electric transportation devices and motorcycle accidents

Electric bicycles and scooters have gained popularity among riders; studies assessing these device-related injuries have not specified ocular trauma. Our study examined the types and risk factors for ocular and periocular injuries associated with electric devices compared to motorcycle accidents. The study was conducted on the National Trauma Registry database from 20 trauma centers, including patients involved in accidents with electric bicycles, scooters, and motorcycles between 2014 to 2019. Injured riders were assigned into two groups: motorcycle group (M) and electric bicycle & scooter group (E). Data such as gender, age, protective gear use, ocular injury type, injury severity score (ISS), and ocular surgery were captured. Logistic regression models were conducted for injury types and the need for surgery. 8181 M-riders and 3817 E-riders were involved in an accident and hospitalized. E-riders suffered from ocular injury more than M-riders. Males were most vulnerable and the ages of 15-29. Orbital floor fracture was the most common injury, followed by ocular contusion, eyelid laceration, and other ocular wounds. Electric bicycle and scooter riders are more likely to suffer from ocular injury than motorcycle riders. Riders without helmets are at greater risk for injuries, specifically orbital floor fractures. ISS of 16 + was associated with injury demanding ocular surgery.

Patterns of Active Travel and Physical Activity among Adolescents in Israel

Active travel (AT) is a core physical activity (PA) indicator for children and youth; contributing to health and wellbeing, at both the individual and societal levels. This analysis explores patterns of adolescent active school travel (AST) and cycling and associations with different PA measures. Secondary analysis of the cross-sectional 2018-2019 Health Behaviour in School Age Children study in Israel included an extended PA module with walking, cycling and e-cycling modes. The nationally representative sample includes students in grades 6-12 (n = 4407). Analysis of weighted data included descriptive analyses, inferential statistics, and regression analyses. AST was reported by 61.9% of adolescents; 39.3% reported 20 min or more daily AST; 27.1% reported habitual cycling (HC) and 17.4% reported habitual e-cycling (HEC). There are mixed results for socio-economic status and environment. AST and HC were associated with less sedentary hours daily (odds ratio [OR] = 1.190 and 1.397, respectively); HC was associated with positive sports self-rating (OR = 2.394). Stepwise regression analysis found that lower AST duration, time in minutes, was associated with watching television with the family. Promotion of adolescent AT may be associated with increased PA and joint parent-adolescent AT, and was utilized across different socio-demographic groups in Israel.

The hidden danger of lithium battery powered electric bicycles and scooters: A case series of the Israeli National Burn Center experience

Electric powered bicycles and scooters that use rechargeable lithium batteries are an urban transportation alternative and have become increasingly popular. However, in recent years, there has been an increase in patient admissions to the Israeli National Burn Center with burns associated with their use. In this case series of all patients (n=9) referred to the Emergency Department (February 2016 - October 2020) with lithium related battery burns from electric powered bicycles and scooters, we present burn depth, size, treatment, inhalation injuries and hospitalization. All patients were admitted to in the Israeli National Burn Center for treatment. The average total burn surface area was 27.5% (range 3-57%). All but one patient had a combination of partial to full-thickness burns affecting the upper and lower limbs. Three patients sustained inhalation injuries and a total of four patients required intubation. Seven patients required surgery that included debridement and, in most cases, skin grafting. The availability and increase in the use of battery powered bicycles and scooters may lead to an increase in injuries and death if consumers are not aware of the potential dangers related to the safe use of lithium batteries.

A Survey of Technologies and Recent Developments for Sustainable Smart Cycling

Among the problems resulted from the continuous urbanization process, inefficient urban mobility and high pollution levels have been complex challenges that have demanded a lot of public investments and research efforts. Recently, some alternative transportation means have been leveraged as sustainable options for such challenges, which has brought bicycles to a more relevant setting. Besides the sometimes obvious benefits of adopting bikes for transportation, technologies around the Internet of Things (IoT) paradigm have been advocated as important supportive tools to boost smart cycling initiatives. Actually, new technologies can be exploited to improve the efficiency of bike paths and parking spots, while reducing accidents and enhancing the cycling experience of the users. Therefore, in this highly vibrating scenario, this article facilitates the understating of current research trends and promising developments, surveying and classing recent works. Since there is a global interest for the promotion of cleaner and more sustainable solutions in large cities, this survey can be valuable when supporting new developments in this highly relevant research area.