| People | Locations | Statistics |
|---|---|---|
| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Tobolar, Jakub |
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| Volodarets, M. |
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| Piwowar, Piotr |
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| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
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| Cicevic, Svetlana |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
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| Lima, Pedro | Braga |
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| Turunen, Anu W. |
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| Antunes, Carlos Henggeler |
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| Krasnov, Oleg A. |
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| Lopes, Joao P. |
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| Turan, Osman |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Yasmin, Shamsunnahar
in Cooperation with on an Cooperation-Score of 37%
Topics
- passenger
- vehicle occupant
- fare
- passenger traffic
- data
- public transport
- estimate
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- show 107 more
Publications (12/12 displayed)
- 2022Defining Equity Criteria for Determining Fare Zones in Integrated Passenger Transport
- 2021Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Modelscitations
- 2019Using location-based social network data for activity intensity analysis: A case study of New York Citycitations
- 2019Evaluating the impact of a newly added commuter rail system on bus ridership: a grouped ordered logit model approachcitations
- 2018A Multivariate Copula-Based Macro-Level Crash Count Modelcitations
- 2018Joint Modeling of Traffic Incident Duration Components (Reporting, Response, and Clearance Time): A Copula-Based Approachcitations
- 2016Ordered Fractional Split Approach for Aggregate Injury Severity Modelingcitations
- 2016Joint Modeling of Pedestrian and Bicycle Crashes: Copula-Based Approachcitations
- 2015Copula-Based Joint Model of Injury Severity and Vehicle Damage in Two-Vehicle Crashescitations
- 2014Analyzing car ownership in Quebec City: a comparison of traditional and latent class ordered and unordered modelscitations
- 2014Joint Model of Weekend Discretionary Activity Participation and Episode Durationcitations
- 2013Effects of Drivers’ Actions on Severity of Emergency Vehicle Collisionscitations
Places of action
document
Effects of Drivers’ Actions on Severity of Emergency Vehicle Collisions
Abstract
Emergency vehicles (EVs) are used to provide essential services to society in the event of an emergency. Hence, crashes involving these vehicles are a concern, and investigating crash characteristics of EVs is the first step toward improving their safety. In particular, the contribution of any improper driver behavior or actions must be identified before (a) a program of behavior modification is recommended to authorities or (b) countermeasures are implemented to improve road safety, or both. This study attempts to identify the driver actions that contribute significantly to the severity of a crash involving at least one EV by using data from the Province of Alberta, Canada, for the period from 1999 to 2008. In addition, the impact of control variables formed from demographic, vehicle, environmental, and behavioral factors will also be explored. The results indicate that drivers’ violations of the road rules significantly contributed to increasing the severity of crashes. Non-EV drivers’ errors, nonrepairable damage to the vehicle, collision of an EV with a two-wheeler, and sun glare were some of the other variables that had significant influence on crash severity.
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