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Shared stand-up electric scooters are now offered in many cities as an option for short-term rental, and marketed for short-distance travel. Using life cycle assessment, we quantify the total environmental impacts of this mobility option associated with global warming, acidification, eutrophication, and respiratory impacts. We find that environmental burdens associated with charging the e-scooter are small relative to materials and manufacturing burdens of the e-scooters and the impacts associated with transporting the scooters to overnight charging stations. The results of a Monte Carlo analysis show an average value of life cycle global warming impacts of 202 g CO2-eq/passenger-mile, driven by materials and manufacturing (50%), followed by daily collection for charging (43% of impact). We illustrate the potential to reduce life cycle global warming impacts through improved scooter collection and charging approaches, including the use of fuel-efficient vehicles for collection (yielding 177 g CO2-eq/passenger-mile), limiting scooter collection to those with a low battery state of charge (164 g CO2-eq/passenger-mile), and reducing the driving distance per scooter for e-scooter collection and distribution (147 g CO2-eq/passenger-mile). The results prove to be highly sensitive to e-scooter lifetime; ensuring that the shared e-scooters are used for two years decreases the average life cycle emissions to 141 g CO2-eq/passenger-mile. Under our Base Case assumptions, we find that the life cycle greenhouse gas emissions associated with e-scooter use is higher in 65% of our Monte Carlo simulations than the suite of modes of transportation that are displaced. This likelihood drops to 35%-50% under our improved and efficient e-scooter collection processes and only 4% when we assume two-year e-scooter lifetimes. When e-scooter usage replaces average personal automobile travel, we nearly universally realize a net reduction in environmental impacts.

We used interrupted time series (ITS) analysis to determine whether e-scooter shares' introduction in September 2017 increased serious scooter-related injury across the United States. Using the National Electronic Injury Surveillance System, we queried emergency department visits involving motorized scooter-related injuries from January 2010–December 2019. Cases originating where e-scooter shares launched between September 1, 2017–December 1, 2019 (intervention period) were considered exposed. The first month of launch (September 2017) was chosen as the time point for pre- and post-intervention analysis. The primary outcome was change in hospitalizations following scooter injury in association with the month/year launch. This analysis includes 2754 unweighted encounters, representing 102614 estimated injuries involving motorized scooters nationwide. Hospitals within 20 miles of e-scooter shares also experienced a significant monthly increase of 0.24 scooter-related injury hospitalizations/1000 product-related injury hospitalizations ([0.17,0.31]) compared to a non-significant change in hospitalizations of 0.02 [-0.05,0.09] for control hospitals. An increase in serious motorized scooter injuries coincides with e-scooter shares’ introduction in the US. Future works should explore effective polices to improve public safety. •Across US, the estimated number of scooter injuries has increased from 8755 [injuries in 2010 to 29330 in 2019.•Time series of hospitals near e-scooter shares demonstrated significant increases in scooter-related hospitalizations.•While scooter-related injuries and hospitalizations increased, the rate of hospitalization did not increase.•As e-scooters become more widely adopted, efforts should examine which policies ensure rider and pedestrian safety.

This study investigates the impact of standing electric scooter-related injuries within an entire integrated hospital system. We performed a retrospective review of patients involved in standing electric scooter incidents presenting throughout an urban hospital network over a 10 month period. Rates of Google searches of scooter-related terms performed locally were used as a surrogate for ride frequency. Injury, mechanism, and cost data were analyzed. Data on 248 patients were reviewed. Twenty-three (9%) were under 18 years old. Loss of balance was the most common cause of injury accounting for nearly half, while tripping over a scooter 14 (6%) affected the elderly disproportionately. Eight (3%) riders wore helmets. All TBI and closed head injuries occurred in unhelmeted patients. Most incidents occurred in the street, only one in a bicycle lane. Facilities costs were greater for patients under the influence of alcohol and marijuana. Policies related to the use of mandated safety equipment, dedicated bicycle lanes, and the proper storage of empty vehicles should be further investigated. •Electric scooter injuries often do not present as trauma activations.•Illegal use by underage riders and tripping over discarded scooters by elderly are common.•Use of protective equipment is uncommon.•Use in a dedicated bicycle may minimize accidents. Table of contents summary: Standing electric scooter injuries present across all age groups in this study from an integrated health system. Use of protective equipment is rare, as are injuries occurring in dedicated bicycle lanes. Substance use may be linked to higher facilities costs.

ObjectiveTo analyse injuries related to manual and electric scooter use from January 2016 up to and including July 2019.SettingElectric scooter rental services were launched in Denmark in January 2019. The services were provided by private companies. Although rules for handling and riding scooters have been established, no reports either before or after introduction of electric scooters anticipated the full extent of use, and injuries to riders and pedestrians.ParticipantsAll patient records mentioning manual or electric scooters. Records were reviewed, and data were stratified according to two groups: manual and electric scooters.InterventionsA predefined survey was completed in all cases where ‘scooter’ was present. This contained variables such as type of scooter, type of participant, mechanism of injury, acuity, intoxication, referral to treatment facility.Outcome measuresAmong incidents involving scooters, summary statistics on continuous and categorical variables of interest were reported.Results468 scooter-related injuries were recorded. We found that manual scooter riders were more likely to be children under the age of 15; fall alone—involving no other party; sustain contusions, sprains and lacerations; and bruise either their fingers or toes. Riders of electric scooters were likely to be 18–25 years, sustain facial bruising and lacerations requiring sutures, and be under the influence of alcohol or drugs. Non-riders of electric scooters were mostly elderly people who tripped over scooters, consequently sustaining moderate to severe injuries.ConclusionThere were two different types of population sustaining injuries from manual and electric scooters, respectively. The proportion of non-riders injured by electric scooters were surprisingly large (17%), and while electric scooters are here to stay, several apparently preventable injuries occur as a result of reckless driving and discarded electric scooters. Current rules for usage might not prevent unnecessary accidents and secure traffic safety and the lives of older individuals.

Background This study provides an analysis of contemporary trends and demographics of patients treated for injuries from nonmotorized scooters in emergency departments in New York state excluding New York City (NYS) and New York City (NYC). Methods The study tracks the incidence of nonmotorized scooter injuries in NYS and NYC from 2005 to 2020 and furnishes a detailed profile of the injured patients using patient-level records from the Statewide Planning and Research Cooperative System (SPARCS). A negative binomial regression analysis is performed on the SPARCS data to measure the simultaneous effects of demographic variables on scooter injuries for NYS and NYC. The study also examines the demographic correlates of the rate of injuries at the neighborhood level in NYC. A thematically shaded map of the injury rates in New York City neighborhoods is created to locate neighborhoods with greater concentrations of injuries and to identify the reasons which might account for their higher rate of injuries, such as street infrastructure. Results In NYS and NYC injuries from unpowered scooters underwent an overall decline in the past decade. However, both NYS and NYC are now evidencing an increase in their rates. The upswing in the rate in NYC in 2020 is particularly noticeable. Males and children in the age group 5 to 9 were found to be most susceptible to injury. Injuries were more prevalent in more affluent New York City neighborhoods. A map of the injury rates in the City’s neighborhoods revealed a clustering of neighborhoods with higher than average injury rates. Conclusions Injuries from nonmotorized scooters number approximately 40,000 annually in the US and can be prevented by greater use of protective equipment. Street infrastructure is a critical factor contributing to injuries from the use of nonmotorized scooters. Thematically shaded maps can be used to identify and target areas for purposes of intervention.

PurposeElectric scooters (e-scooters) are an emerging way of mobility in cities around the world. Despite quickly rising numbers of e-scooters, limited studies report on incidence and severity of e-scooter-associated injuries. The aim of our study was to report on these injuries and identify potential protective measures to ultimately decrease e-scooter-associated morbidity.MethodsWe performed a retrospective multicentre study including all patients, who were admitted to three major trauma departments in Vienna from May 2018 to September 2019. We analysed patients’ data, including demographics, injury pattern, types of injury and subsequent treatment.ResultsA total number of 175 patients (115 males, 60 females) sustained e-scooter-associated injuries. Patients’ mean age was 34.4 years [4–74]. While the mean Injury Severity Score (ISS) was 3.4, 11 patients presented with an ISS ≥ 9 and 2 patients with an ISS ≥ 16. ISS increased with age. Older patients (≥ 40 years) presented a significantly higher ISS than younger patients (< 40 years) (P = 0.011). Seventy-one patients (40.6%) sustained major injuries affecting head (35.2%) and upper extremities (36.6%). Twenty-three patients (13.1%) required surgery leading to hospitalization of 11 days on average [1–115]. E-scooter-associated injuries increased during late afternoon plateauing at 8.00 pm. However, the largest share of patients (39.2%) sustained their injuries during early night (8.00 pm to 1.59 am) with especially young adults (19–39 years) being at risk.ConclusionThe popularity of rideshare e-scooters across cities worldwide seems to be on the rise, so are e-scooter-associated injuries. These injuries should be considered high-energy trauma affecting primarily head and upper extremity; indeed, 17.7% sustained major head injuries. Therefore, the mandatory use of a helmet seems to be adequate to decrease head injury-associated morbidity. Ultimately, given the remarkably high rates of nighttime injuries, an e-scooter ban during night could further cut injury numbers in half.

Electric scooters (or e-scooters) are among the most popular micromobility options that have experienced an enormous expansion in urban transportation systems across the world in recent years. Along with the increased usage of e-scooters, the increasing number of e-scooter-related injuries has also become an emerging global public health concern. However, little is known regarding the risk factors for e-scooter-related crashes and injury crashes. This study consisted of a two-phase survey questionnaire administered to a cohort of e-scooter riders (n = 210), which obtained exposure information on riders’ demographics, riding behaviors (including infrastructure selection), helmet use, and other crash-related factors. The risk ratios of riders’ self-reported involvement in an e-scooter-related crash (i.e., any crash versus no crash) and injury crash (i.e., injury crash versus non-injury crash) were estimated across exposure subcategories using the Negative Binomial regression approach. Males and frequent users of e-scooters were associated with an increased risk of e-scooter-related crashes of any type. For the e-scooter-related injury crashes, more frequently riding on bike lanes (i.e., greater than 25% of the time), either protected or unprotected, was identified as a protective factor. E-scooter-related injury crashes were more likely to occur among females, who reported riding on sidewalks and non-paved surfaces more frequently. The study may help inform public policy regarding e-scooter legislation and prioritize efforts to establish suitable road infrastructure for improved e-scooter riding safety.

This paper investigated the travel patterns of 1.7 million shared E-scooter trips from April 2018 to February 2019 in Austin, TX. There were more than 6000 active E-scooters in operation each month, generating over 150,000 trips and covered approximately 117,000 miles. During this period, the average travel distance and operation time of E-scooter trips were 0.77 miles and 7.55 min, respectively. We further identified two E-scooter usage hotspots in the city (Downtown Austin and the University of Texas campus). The spatial analysis showed that more trips originated from Downtown Austin than were completed, while the opposite was true for the UT campus. We also investigated the relationship between the number of E-scooter trips and the surrounding environments. The results show that areas with higher population density and more residents with higher education were correlated with more E-scooter trips. A shorter distance to the city center, the presence of transit stations, better street connectivity, and more compact land use were also associated with increased E scooter usage in Austin, TX. Surprisingly, the proportion of young residents within a neighborhood was negatively correlated with E-scooter usage.

New, shared mobility modes, including dockless e-scooters and e-bikes, were recently introduced to many cities around the world. The aim of this article is to determine the differences between the users of e-bike sharing, and e-scooter sharing systems, and the characteristics of their travel behaviour. This study is based on the survey of the citizens of Tricity in northern Poland. We find that e-bicycles are predominantly used as first and last mile transport and to commute directly to various places of interest, whereas e-scooters are more often used for leisure rides. Survey respondents that adopted shared micromobility are generally young, and e-scooter users are on average younger than e-bike users. Although all shared vehicles in Tricity are electrically assisted, this did not allow for the elimination of the gender gap, or help retired and disabled people in the adoption of shared micromobility services. We have also identified factors discouraging people from the usage of e-bike and e-scooter sharing and found them to be different for both types of services. Finally, we investigated the issue of using shared e-bikes for urban logistics.