Safe speed limits for a safe system: The relationship between speed limit and fatal crash rate for different crash types

Doecke, S; Kloeden, Craig N.; Dutschke, Jeffrey; Baldock, Matthew

doi:10.1080/15389588.2017.1422601

Cited by 44 publications

(24 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Asimismo, el exceso de velocidad es la segunda causa por fallecimientos, en diferentes estudios se comprobó la relación entre velocidad y tasa de mortalidad [4][5][6][7][8][9][10][11][12][13][14][15] , especialmente en las vías rurales es dónde se circula a velocidades superiores a los 80 km/h y existe mayor concentración vehicular por la densidad poblacional 35 . No obstante, las eventos que originan los fallecimientos por AT no podemos atribuirlos a una sola causa, sino a la combinación multifactorial de variables 12 -36 .…”

Section: Discussionunclassified

Caracterización de 1.967 casos de fallecimientos por accidentes de tránsito en Ecuador

García

Heredia

Villalta

2018

View full text Add to dashboard Cite

Ecuador presenta una tendencia ascendente de los fallecidos por AT, debido a los índices de motorización y aumento de la población (1998-2015). Caracterizar los fallecimientos por AT en Ecuador según (i) tipología del siniestro, (ii) características del vehículoimplicado y (iii) causas probables que dieron origen a estos eventosen el 2016. Material – Métodos: estudio descriptivo de corte transversal de 1.967 casos de personas fallecidas en 30.269 siniestros por AT, recopilados a través de fuentes oficiales. Se presentan estadísticos descriptivos y tasa estandarizada para cada una de las variables objeto de estudio (x 100 siniestros). Resultados: los hombres (81%) con edades comprendías entre los 25 a 64 años de edad (47,9%) presentan mayor prevalencia de fallecimientos por AT.Los atropellos de vehículos a peatones (n=451; Tasa=14,9), pérdida de pista y choques ocupan los primeros puestos según tipología, en particular, en usuarios de automóviles y motocicletas. Lasprincipales causas más prevalentes de los fallecimientospor AT son: el incumplimiento de las normas de tránsito (n=736; Tasa= 37,4) y el exceso de velocidad (n=259; Tasa= 13,2); conducir bajo la influencia de alcohol y otras sustancias se sitúa en el último puesto (n=76; 3,9%). Conclusiones: el factor humano es el principal responsable de los fallecimientos por AT. Los hallazgos encontrados manifiestan la necesidad prioritaria de dirigir acciones públicas para la educación vial en conductores (motociclistas – usuarios de vehículos) y peatones.

show abstract

Section: Discussionunclassified

Caracterización de 1.967 casos de fallecimientos por accidentes de tránsito en Ecuador

García

Heredia

Villalta

2018

View full text Add to dashboard Cite

show abstract

Section: Discussionunclassified

Número Compler

Completo¹

2018

View full text Add to dashboard Cite

show abstract

“…Many meta-analyses showed that the maintenance of the speed cameras is effective in speed management, reducing fatal and serious injury crashes (11,12) and safe system (13). There are different speed camera programs in different countries, for example in Iran, the number of speed cameras on rural roads improves the safety of the roads.…”

Section: Introductionmentioning

confidence: 99%

The Data-Driven Pattern for Healthy Behaviors of Car Drivers Based on Daily Records of Traffic Count Data From 2018 to 2019 Near Airports: A Functional Data Analysis

Fayaz¹,

Khodakarim²,

Hoseini³

et al. 2020

JPJB

View full text Add to dashboard Cite

The road traffic injuries risk factors such as driving offenses and average speed are concerns for health organizations to reduce the number of injuries. Without any comprehensive view of each road, one cannot decide about the effective policy. In this manner, the data-driven policy will help to improve and assess the decisions. The count data near the road of two airports is surveyed for investigating the timevarying speed zones.The descriptive statistics, ANOVA, and functional data analysis were used. The hourly data of traffic counts for four different locations at the entrance of the two airports, international and domestics, were collected for one the year 2018 to 2019.The hourly pattern of driving offenses for each road was assessed and the to and from airport roads had different peaks (<0.05). The hour, weekdays, type of airport, direction and their interactions were statistically significant (<0.05) for the chance of driving offenses. The speed average during the day was statistically different (<0.5) by the number of different types of vehicles.The traffic count data is a great resource for decision making in safe driving subjects such as driving offenses. With functional data analysis, we can analyze them to get the most of the characteristics of this data. The airports are public places with high traffic demand in all countries that yields the different pattern of traffic transportation, therefore we extract the factors that affect the driving offenses. Finally, we conclude that conducting a time-varying speed zone near the airports seems vital.

show abstract

Safe speed limits for a safe system: The relationship between speed limit and fatal crash rate for different crash types

Cited by 44 publications

References 6 publications

Caracterización de 1.967 casos de fallecimientos por accidentes de tránsito en Ecuador

Caracterización de 1.967 casos de fallecimientos por accidentes de tránsito en Ecuador

Número Compler

The Data-Driven Pattern for Healthy Behaviors of Car Drivers Based on Daily Records of Traffic Count Data From 2018 to 2019 Near Airports: A Functional Data Analysis

Contact Info

Product

Resources

About