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  <title>DSpace Community:</title>
  <link rel="alternate" href="http://dspace.utpl.edu.ec/handle/123456789/17044" />
  <subtitle />
  <id>http://dspace.utpl.edu.ec/handle/123456789/17044</id>
  <updated>2026-04-21T19:16:59Z</updated>
  <dc:date>2026-04-21T19:16:59Z</dc:date>
  <entry>
    <title>Pedestrians Injury Severity in Traffic Accidents in Spain: A Pedestrian Actions Approach</title>
    <link rel="alternate" href="http://dspace.utpl.edu.ec/handle/123456789/69668" />
    <author>
      <name>García-Herrero, Susana</name>
    </author>
    <author>
      <name>Febres, Juan Diego</name>
    </author>
    <author>
      <name>Herrera,Sixto</name>
    </author>
    <author>
      <name>Mariscal Saldaña, Miguel Ángel</name>
    </author>
    <id>http://dspace.utpl.edu.ec/handle/123456789/69668</id>
    <updated>2024-11-05T21:44:47Z</updated>
    <published>2021-01-01T00:00:00Z</published>
    <summary type="text">Title: Pedestrians Injury Severity in Traffic Accidents in Spain: A Pedestrian Actions Approach
Authors: García-Herrero, Susana; Febres, Juan Diego; Herrera,Sixto; Mariscal Saldaña, Miguel Ángel
Abstract: Road traffic accidents are currently between the seventh and tenth leading cause of death in the world, with approximately 1.35 million people killed per year. Despite extensive efforts by governments, according to the World Health Organization, road accidents still cause far too many deaths, especially among pedestrians, cyclists and two-wheel motor vehicle riders, who together account for almost 50% of road traffic fatalities. In particular, Spain had 410,974 traffic accidents between 2016 and 2019, involving 722,516 vehicles and 61,177 pedestrians with varying degrees of injury. This study uses the Bayesian network method to understand how the pedestrians responsibility and actions at the time of the traffic accident affect the injury suffered by said pedestrian, also considering the variables of the road infrastructure and vehicles at the accident site. The results confirm that the variables linked to the unsafe behavior of pedestrians, and their responsibility in traffic accidents, increase the risk of suffering serious or fatal injuries during an accident; for example, if a pedestrian is distracted this increases his/her probability of suffering a severe injury (27.86%) with respect to not being distracted (20.73%). Conditions related to traffic in high-speed areas, areas with no or poor lighting, and areas lacking sidewalks, also record increases in pedestrian injury, as is the case in the age group of pedestrians over 60 years of age.</summary>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Influence of seat-belt use on the severity of injury in traffic accidents</title>
    <link rel="alternate" href="http://dspace.utpl.edu.ec/handle/123456789/69667" />
    <author>
      <name>García-Herrero, Susana</name>
    </author>
    <author>
      <name>Febres, Juan Diego</name>
    </author>
    <author>
      <name>Herrera,Sixto</name>
    </author>
    <author>
      <name>Mariscal Saldaña, Miguel Ángel</name>
    </author>
    <author>
      <name>Gutiérrez, J. M.</name>
    </author>
    <author>
      <name>López-García, J. R.</name>
    </author>
    <id>http://dspace.utpl.edu.ec/handle/123456789/69667</id>
    <updated>2024-11-05T21:43:42Z</updated>
    <published>2020-01-01T00:00:00Z</published>
    <summary type="text">Title: Influence of seat-belt use on the severity of injury in traffic accidents
Authors: García-Herrero, Susana; Febres, Juan Diego; Herrera,Sixto; Mariscal Saldaña, Miguel Ángel; Gutiérrez, J. M.; López-García, J. R.
Abstract: About 1.35 million people died in traffic accidents around the world in 2018, make this type of accidents the 8th cause of death in the world. Particularly, in Spain, there were 204,596 traffic accidents during 2016 and 2017, out of which 349,810 drivers were injured. The objective of this study was to understand to what extent seat belt non-use and human factors contribute to drivers injury severity.</summary>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach</title>
    <link rel="alternate" href="http://dspace.utpl.edu.ec/handle/123456789/69666" />
    <author>
      <name>García-Herrero, Susana</name>
    </author>
    <author>
      <name>Febres, Juan Diego</name>
    </author>
    <author>
      <name>Herrera,Sixto</name>
    </author>
    <author>
      <name>Mariscal Saldaña, Miguel Ángel</name>
    </author>
    <author>
      <name>Mohamadi, Fatemeh</name>
    </author>
    <id>http://dspace.utpl.edu.ec/handle/123456789/69666</id>
    <updated>2024-11-05T21:42:17Z</updated>
    <published>2019-01-01T00:00:00Z</published>
    <summary type="text">Title: The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach
Authors: García-Herrero, Susana; Febres, Juan Diego; Herrera,Sixto; Mariscal Saldaña, Miguel Ángel; Mohamadi, Fatemeh
Abstract: Road traffic injuries are now regarded as the eighth leading cause of death globally. For example, in 2016, 102,362 traffic injuries took place in Spain in which 174,679 drivers suffered injuries. These findings necessitated the development of the current study which focuses on the prime factors that cause this type of injuries. The aim of this study, therefore, is to explore the behavioral factors that entail a higher risk of suffering either a serious or a fatal injury for drivers. Methods. The findings are based on information and data provided by ?Dirección General de Tráfico? (DGT) in Spain on traffic injuries that occurred in the year 2016. Reviewing a wide range of the literature, the authors identified the most influential variables and created a model using the Bayesian networks. The variables that define the model are grouped into four factors: vehicle factor, road factor, circumstantial factor and human factor. Results. The results suggest that the principal variables that determine a higher probability of serious or fatal injuries in traffic injuries are: lack of using appropriate safety accessories, high-speed violations, distractions as well as errors. Finally, the research shows the severity probability based on reason of displacement (?in itinere,? on business, or in leisure</summary>
    <dc:date>2019-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Assessment of the Influence of Technology-Based Distracted Driving on Drivers Infractions and Their Subsequent Impact on Traffic Accidents Severity</title>
    <link rel="alternate" href="http://dspace.utpl.edu.ec/handle/123456789/69665" />
    <author>
      <name>García-Herrero, Susana</name>
    </author>
    <author>
      <name>Febres, Juan Diego</name>
    </author>
    <author>
      <name>Boulagouas, Wafa</name>
    </author>
    <author>
      <name>Gutiérrez, José Manuel</name>
    </author>
    <author>
      <name>Mariscal Saldaña, Miguel Ángel</name>
    </author>
    <id>http://dspace.utpl.edu.ec/handle/123456789/69665</id>
    <updated>2024-11-05T21:40:02Z</updated>
    <published>2021-01-01T00:00:00Z</published>
    <summary type="text">Title: Assessment of the Influence of Technology-Based Distracted Driving on Drivers Infractions and Their Subsequent Impact on Traffic Accidents Severity
Authors: García-Herrero, Susana; Febres, Juan Diego; Boulagouas, Wafa; Gutiérrez, José Manuel; Mariscal Saldaña, Miguel Ángel
Abstract: Multitasking while driving negatively affects driving performance and threatens people's lives every day. Moreover, technology-based distractions are among the top driving distractions that are proven to divert the driver's attention away from the road and compromise their safety. This study employs recent data on road traffic accidents that occurred in Spain and uses a machine-learning algorithm to analyze, in the first place, the influence of technology-based distracted driving on drivers infractions considering the gender and age of the drivers and the zone and the type of vehicle. It assesses, in the second place, the impact of drivers infractions on the severity of traffic accidents. Findings show that (i) technology-based distractions are likely to increase the probability of committing aberrant infractions and speed infractions; (ii) technology-based distracted young drivers are more likely to speed and commit aberrant infractions; (iii) distracted motorcycles and squad riders are found more likely to speed; (iv) the probability of committing infractions by distracted drivers increases on streets and highways; and, finally, (v) drivers infractions lead to serious injuries.</summary>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </entry>
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