Micromobility is an emerging field of transportation, referring to trips undertaken by a range of microvehicles. Microvehicles encompass both traditional and emerging types of light vehicles from conventional bicycles and powered-two wheelers, through to e-bikes and e-scooters, e-skateboards and “hoverboards”. The recent uptake in powered microvehicles emphasizes the need to understand the knowledge domain of micromobility research. This paper summarises the research status by identifying main contributors to and evolutionary trends in the field. The study applied scientometric analysis techniques to review 474 articles published between 1991 and 2020. The search on Thomson Reuter’s Web of Science database was guided by the Society of Automotive Engineers (SAE) common vocabulary for powered micromobility. Results show a proliferation of research in the field of powered micromobility since 2012, which demonstrates that the growth in research is occurring alongside the increased availability of microvehicles and trips being made using microvehicles. A broad range of research topics including user behaviour, vehicle technology, planning, policy, health and safety were identified with the latter two found to be the most studied areas. Findings suggest many potential benefits of using micromobility and that the field will continue to grow, spurred by the popularity of shared e-scooter schemes. Greater collaboration in the field is desirable to broaden the dissemination of knowledge.

Road traffic crashes are a major safety problem, with one of the leading factors in crashes being human error. Automated and connected vehicles (CAVs) that are equipped with Advanced Driver Assistance Systems (ADAS) are expected to reduce human error. In this paper, the Simulation of Urban MObility (SUMO) traffic simulator is used to investigate how CAVs impact road safety. In order to define the longitudinal behavior of Human Drive Vehicles (HDVs) and CAVs, car-following models, including the Krauss, the Intelligent Driver Model (IDM), and Cooperative Adaptive Cruise Control (CACC) car-following models were used to simulate CAVs. Surrogate safety measures were utilized to analyze CAVs’ safety impact using time-to-collision. Two case studies were evaluated: a signalized grid network that included nine intersections, and a second network consisting of an unsignalized intersection. The results demonstrate that CAVs could potentially reduce the number of conflicts based on each of the car following model simulations and the two case studies. A secondary finding of the research identified additional safety benefits of vehicles equipped with collision avoidance control, through the reduction in rear-end conflicts observed for the CACC car-following model.

Cycling delivers public health benefits and reductions in carbon dioxide emissions compared to motor vehicle travel. However, riding a bicycle has a higher injury rate per kilometres travelled. Therefore, the shift from cars to bicycles has the potential to cause undesired impacts in terms of road safety. Among cycling injuries, single-bicycle crashes (SBCs) constitute a significant number of all injuries, but the size of the problem is somewhat unknown. This study focuses on the data mainly from the 2010s based on the scientific publications, and explores the proportion and the characteristics of SBCs internationally. Altogether 22 relevant studies where found. In the different studies, the share of SBCs among injured cyclists varies considerably from 17% to 85%. When considering studies based on larger samples and more representative data, the share of SBCs varies between 52% and 85%. It is suggested that SBCs are underreported in certain datasets depending on the methodology chosen to analyse SBCs. The proportion of SBCs has not changed notably during the early twenty-first century. The main characteristics related to SBC events are loss of control or skidding in slippery conditions. The interplay between SBC-related factors such as the infrastructure, the cyclist and other road users, and the bicycle should be further investigated to better understand the causes of SBCs.