Speeding has been identified as one of the most common risk factors for the occurrence and severity of traffic accidents. One of the most economical and widespread strategies for speed management is the installation of Speed Cameras (SC). In light of the growing body of evidence in this field and the need for a coherent synthesis of research findings, challenges and gaps, this paper provides a systematic review and an integrated overview of the current state of knowledge on the topic. Five electronic databases (SCOPUS, Web of Science, PubMED, TRID and PROQuest) were used to identify relevant studies. Records were identified, screened, and assessed using a structured multi-stage review process consistent with established systematic review procedures. The included studies reported investigations related to the SC impact on driving speed. A systematic classification scheme was adapted to summarize the study's characteristics. Ninety-four studies were identified. As a result, issues in the study objects, methods and procedures of SC evaluation and impact on vehicle speed assessment were discussed. In particular, due to the complex road environment, other factors also impact driving speed patterns. Additionally, it is demonstrated that the impact of SC on speeds has been assessed by four methods: self-reported questionnaires and location, time, and cross-sectional speed analysis. Complementary research on the following themes would provide interesting insights on SC related studies: understanding how other urban environment factors can influence SC effectiveness; settlement of compliance distance, continuous speed measuring methods associated with time and location speed analysis, and evaluation of the impact of road type, speed limit, and geometry.

Background: Many factors are associated with pedestrian injuries and accidents. If a pedestrian is injured in an outdoor public space, we are talking about a “pedestrian fall”. Pedestrian falls are a more common cause of pedestrian injuries than traffic crashes but have received less attention and the literature on this topic is scarce. Aims and methods: The aim of this work is to describe at a general level the prevalence and consequences of pedestrian falls and injuries, to make international comparisons of pedestrian falls and to identify risk factors and not least to examine the relationships between the prevalence of falls and pedestrian risk behaviour. A total of 6,373 participants from 15 different countries were recruited to take part in this study. To collect data a questionnaire was used. To cover the risky behaviour of pedestrians we used a short version of Pedestrians Behaviour Scale (PBS). In order to identify groups of countries with a similar pedestrian transport situation, a hierarchical cluster analysis was performed. The analysis produced four groups of countries based on pedestrians’ safety level, popularity of walking and GDP. Results and conclusions: As for the results, we can conclude that young people and older people are more frequently involved in falls and that women report more frequent involvement in falls than males. However, the risk of getting injured in a fall is not higher than that of men. Frequent walking is associated with a lower risk of falling while walking. In contrast to this, physical activity increases such risk. The prevalence of falls and injuries seems to be weakly related to pedestrians’ risky behaviour, thus other factors such as safety infrastructure probably play an important role.

Speeding is widely recognized as a key contributor to the occurrence and severity of road crashes, making studies on speed reduction devices particularly relevant given poor road safety outcomes worldwide. This study investigates the impact of fixed speed cameras on driver behavior and speed reduction in urban arterials using a naturalistic driving study methodology. Data from 13 drivers and 116 trips in Curitiba, Brazil, were analyzed, with a focus on speed cameras placed on arterial roads. Speed data were grouped and analyzed by various categories, including topographic profile, day and week periods, and rain conditions. Mean comparisons were used to compare data sets, revealing an overall speed reduction effect of 0.69 km/h (−1.33%) around the speed camera. The study identified a pattern of punctual speed reduction, known as a “kangaroo jump,” a speed reduction followed by an increase in speed, referred to as the “compensation effect,” and a new pattern characterized by a non-significant speed reduction at the speed camera site followed by an increase in speed, referred to as the “cobra strike effect” because of its curve pattern. The largest speed reductions were observed for flat topographic profiles (−2.98%), daytime travel (−1.58%), and travel on working days (−1.75%) with rain (−1.80%). Conversely, the speed camera had little impact on vehicle speed for uphill topographic profiles, no rain conditions, and travels during weekend.