scholarly journals Urban Road Safety and Crash Severity during the 2020 COVID-19 Pandemic: The Case of Seattle, WA

Findings ◽  
2021 ◽  
Author(s):  
Haifeng (Felix) Liao ◽  
Michael Lowry
2019 ◽  
Vol 42 (2) ◽  
pp. e158-e164 ◽  
Author(s):  
Astrid Värnild ◽  
Per Tillgren ◽  
Peter Larm

Abstract Background The number of seriously injured unprotected road users has increased during implementation of a road safety policy Vision Zero. The aim of the study is to identify factors associated with the increase in serious injuries among cyclists and pedestrians (even single pedestrian accidents) that occurred in an urban road space in a Swedish region 2003–17. The urban road space includes roads, pavements and tracks for walking and cycling. Methods Data were retrieved from STRADA (Swedish Traffic Accident Data Acquisition) and NVDB (National Road Database). Descriptive statistics and logistic regression with odds ratios for sex, age and part of road space were assessed. Results The number of seriously injured cyclists and pedestrians more than doubled from 2003 to 2017, with the greatest increase for pedestrians. Older age increased the probability of serious injury since 2012 for the group ≥ 80 years and since 2015 for the group 65–79 years. No significant effect of sex. Most injuries occur in areas not transformed by Vision Zero. Conclusions An increasing number of elderly persons in the generation born in the 1940s and increased life expectancy are important factors. There is a need to increase road safety measures that also promote active mobility.


Safety ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 13 ◽  
Author(s):  
Pasquale Colonna ◽  
Paolo Intini ◽  
Nicola Berloco ◽  
Veronica Fedele ◽  
Giuseppe Masi ◽  
...  

The need for improving urban road safety, livability, and sustainability is evident. Quantitative estimates and qualitative methods/strategies can be used by road safety practitioners to design safety interventions. This study proposes a flexible integrated design framework for safety interventions on existing urban road segments and intersections that integrates quantitative and qualitative methods. The proposed design framework is divided into four stages of the safety management process: End of Network Screening, Diagnosis, Selection of Countermeasures, and Economic Assessment. Pilot applications of the proposed method were performed on existing roads of the urban road network of the Municipality of Bari, Italy. Results from the application were useful to highlight some possible problems in the different stages of the design process. In particular, the discussed problems include a lack of crash and traffic data, difficulties with defining the road functional classifications, including rural-to-urban transitions, a lack of local inspection procedures, the recurrent problems from diagnosis, difficulties regarding the safety assessment of cycling infrastructures and sight distances, the criteria for grouping countermeasures into sets, and the choice of appropriate predictive methods. In response, appropriate solutions to the highlighted problems were presented. The usefulness of the proposed method for both practitioners and researchers was shown.


2017 ◽  
Vol 24 ◽  
pp. 220-227 ◽  
Author(s):  
Athanasios Galanis ◽  
George Botzoris ◽  
Nikolaos Eliou

2020 ◽  
Vol 66 (4) ◽  
pp. 11-18
Author(s):  
Filip Zivkovic

Traffic in urban areas has led to environmental noise pollution. However, traffic is not only source of noise, so environmental noise is referred to as a communal noise, which is combination of several sources. All sources may lead to consequences on human health such as: stress, tinnitus, cardiovascular and respiratory diseases and death in extreme cases. In this regard, ambient sound levels were measured at 19 locations in the city of Belgrade, during the winter and summer period. The aim of this paper is to show ambient sounds level as an indicator of urban road safety, based on which it would be possible to complete the goals of creating cities suitable for the life of citizens.


2021 ◽  
Vol 14 (1) ◽  
pp. 354
Author(s):  
Keila González-Gómez ◽  
Derrick K. Rollins ◽  
María Castro

Road safety is key to sustainable mobility. Rapid technological advances have allowed several road safety-related analyses, previously performed in situ, to be conducted virtually. These virtual analyses benefit understanding of how roads operate and how users perceive them. Additionally, they facilitate the assessment of several parameters that are fundamental to road design and operation. The available sight distance (ASD) is one of these parameters that, if not provided adequately, could alter the proper functioning of roads. This study presents a framework to assess the impact of certain features on visibility. First, the ASD is estimated using a geographic information system (GIS)-based procedure with LiDAR-derived three-dimensional (3D) models. Afterward, obstructions are detected and categorized. If the obstruction cannot be removed, their redesign or relocation is simulated to re-run the analysis. These simulations are performed using 3D city objects, and their results are statistically evaluated, providing evidence as to their effects on visibility. The results proved that the procedure helped achieve the efficient use of roadside space, while including safety concerns. Additionally, this study reflects the need for more inspections on the impact of on-street parking on drivers’ fields of view.


Author(s):  
H. González-Jorge ◽  
L. Díaz-Vilariño ◽  
H. Lorenzo ◽  
P. Arias

Visibility of drivers is crucial to ensure road safety. Visibility is influenced by two main factors, the geometry of the road and the weather present therein. The present work depicts an approach for automatic visibility evaluation using mobile LiDAR data and climate information provided from weather stations located in the neighbourhood of the road. The methodology is based on a ray-tracing algorithm to detect occlusions from point clouds with the purpose of identifying the visibility area from each driver position. The resulting data are normalized with the climate information to provide a polyline with an accurate area of visibility. Visibility ranges from 25 m (heavy fog) to more than 10,000 m (clean atmosphere). Values over 250 m are not taken into account for road safety purposes, since this value corresponds to the maximum braking distance of a vehicle. Two case studies are evaluated an urban road in the city of Vigo (Spain) and an inter-urban road between the city of Ourense and the village of Castro Caldelas (Spain). In both cases, data from the Galician Weather Agency (Meteogalicia) are used. The algorithm shows promising results allowing the detection of particularly dangerous areas from the viewpoint of driver visibility. The mountain road between Ourense and Castro Caldelas, with great presence of slopes and sharp curves, shows special interest for this type of application. In this case, poor visibility can especially contribute to the run over of pedestrians or cyclists traveling on the road shoulders.


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