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[EN] Given the current number of road accidents, the aim of many road safety analysts is to identify the main factors that contribute to crash severity. To pinpoint those factors, this paper shows an application that applies some of the methods most commonly used to build decision trees (DTs), which have not been applied to the road safety field before. An analysis of accidents on rural highways in the province of Granada (Spain) between 2003 and 2009 (both inclusive) showed that the methods used to build DTs serve our purpose and may even be complementary. Applying these methods has enabled potentially useful decision rules to be extracted that could be used by road safety analysts. For instance, some of the rules may indicate that women, contrary to men, increase their risk of severity under bad lighting conditions. The rules could be used in road safety campaigns to mitigate specific problems. This would enable managers to implement priority actions based on a classification of accidents by types (depending on their severity). However, the primary importance of this proposal is that other databases not used here (i.e. other infrastructure, roads and countries) could be used to identify unconventional problems in a manner easy for road safety managers to understand, as decision rules. ; The authors express their gratitude to the Spanish General Directorate of Traffic (DGT) for supporting this research and offering all the resources that are available to them. Griselda López wishes to express her acknowledgement to the regional ministry of Economy, Innovation and Science of the regional government of Andalusia (Spain) for their scholarship to train teachers and researchers in Deficit Areas, which has made this work possible. ; De Oña, J.; López-Maldonado, G.; Abellán, J. (2013). Extracting decision rules from police accident reports through decision trees. Accident Analysis & Prevention. 50:1151-1160. https://doi.org/10.1016/j.aap.2012.09.006 ; S ; 1151 ; 1160 ; 50

[EN] The World Health Organization (WHO) considers that traffic accidents are major public health problem worldwide, for this reason safety managers try to identify the main factors affecting the severity as consequence of road accidents. In order to identify these factors, in this paper, Data Mining (DM) techniques such as Decision Trees (DTs), have been used. A dataset of traffic accidents on rural roads in the province of Granada (Spain) have been analyzed. DTs allow certain decision rules to be extracted. These rules could be used in future road safety campaigns and would enable managers to implement certain priority actions. (C) 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of SIIV2012 Scientific Committee ; The authors are grateful to the Spanish General Directorate of Traffic (DGT) for providing the data necessary for this research. Griselda Lopez wishes to express her acknowledgement to the regional ministry of Economy, Innovation and Science of the regional government of Andalusia (Spain) for their scholarship to train teachers and researchers in Deficit Areas, which has made this work possible. ; López-Maldonado, G.; De Oña, J.; Abellán, J. (2012). Using decision trees to extract decision rules from police reports on road accidents. Procedia - Social and Behavioral Sciences. 53:106-114. https://doi.org/10.1016/j.sbspro.2012.09.864 ; S ; 106 ; 114 ; 53

[EN] A transit service quality study based on cluster analysis was performed to extract detailed customer profiles sharing similar appraisals concerning the service. This approach made it possible to detect specific requirements and needs regarding the quality of service and to personalize the marketing strategy. Data from various customer satisfaction surveys conducted by the Transport Consortium of Granada (Spain) were analyzed to distinguish these groups; a decision tree methodology was used to identify the most important service quality attributes influencing passengers overall evaluations. Cluster analysis identified four groups of passengers. Comparisons using decision trees among the overall sample of all users and the different groups of passengers identified by cluster analysis led to the discovery of differences in the key attributes encompassed by perceived quality. ; The authors also acknowledge the Granada Consorcio de Transportes for making the data set available for this study. Griselda Lopez wishes to express her acknowledgement to the regional ministry of Economy, Innovation and Science of the regional government of Andalusia (Spain) for their scholarship to train teachers and researchers in Deficit Areas. Rocio de Ona wishes to express her acknowledgement to the regional ministry of Economy, Innovation and Science of the regional government of Andalusia (Spain) for the Excellence Research Project denominated "Q-METROBUS-Quality of service indicator for METROpolitan public BUS transport services'', co-funded with Feder. ; De Oña, J.; De Oña, R.; López-Maldonado, G. (2015). Transit service quality analysis using cluster analysis and decision trees: a step forward to personalized marketing in public transportation. Transportation. 43(5):725-747. https://doi.org/10.1007/s11116-015-9615-0 ; S ; 725 ; 747 ; 43 ; 5 ; Abou Zeid, M., Ben-Akiva, M.: A model of travel happiness and mode switching, in choice modelling: the state-of-the-art and the state-of-practice. In: Hess S., Daly A. (eds.) Proceedings ...

725 747 43 5 ; S ; [EN] A transit service quality study based on cluster analysis was performed to extract detailed customer profiles sharing similar appraisals concerning the service. This approach made it possible to detect specific requirements and needs regarding the quality of service and to personalize the marketing strategy. Data from various customer satisfaction surveys conducted by the Transport Consortium of Granada (Spain) were analyzed to distinguish these groups; a decision tree methodology was used to identify the most important service quality attributes influencing passengers overall evaluations. Cluster analysis identified four groups of passengers. Comparisons using decision trees among the overall sample of all users and the different groups of passengers identified by cluster analysis led to the discovery of differences in the key attributes encompassed by perceived quality. The authors also acknowledge the Granada Consorcio de Transportes for making the data set available for this study. Griselda Lopez wishes to express her acknowledgement to the regional ministry of Economy, Innovation and Science of the regional government of Andalusia (Spain) for their scholarship to train teachers and researchers in Deficit Areas. Rocio de Ona wishes to express her acknowledgement to the regional ministry of Economy, Innovation and Science of the regional government of Andalusia (Spain) for the Excellence Research Project denominated "Q-METROBUS-Quality of service indicator for METROpolitan public BUS transport services'', co-funded with Feder. De Oña, J.; De Oña, R.; López-Maldonado, G. (2015). Transit service quality analysis using cluster analysis and decision trees: a step forward to personalized marketing in public transportation. Transportation. 43(5):725-747. https://doi.org/10.1007/s11116-015-9615-0 Abou Zeid, M., Ben-Akiva, M.: A model of travel happiness and mode switching, in choice modelling: the state-of-the-art and the state-of-practice. In: Hess S., Daly A. (eds.) Proceedings from the ...

[EN] One of the main objectives of all public administrations is reducing traffic crashes. To this end, Road Safety Inspections (RSI) stand out as a key measure. Signaling roads is one of the foremost tasks of RSI. A road that is improperly or poorly signaled can lead to incorrect placement or maneuvers of vehicles and ambiguous situations that can increase the risk of crashes. This paper analyses the relationship between road crashes in two-lane rural highways and certain deficiencies in signaling. The results show that deficiencies such as "incomplete removal of road works markings" or "no guide sign or in incorrect position" are the ones' associated with a higher probability of crashes in two-lane rural highways. In view of these results, governmental agencies should verify that the original conditions of a highway are re-established after any construction work is completed. They should also continuously follow up on the signaling of this type of highway in order to maintain optimal conditions. (C) 2016 Elsevier Ltd. All rights reserved. ; The authors would like to acknowledge FEDER funding by the European Union for financial support via project "Analisis de la relacion entre Elementos Susceptibles de Mejora, Accidentes y TCA" of the "Programa Operativo FEDER de Andalucia 2007-2013". We also thank the Public Works Agency and Regional Ministry of Public Works and Housing of the Regional Government of Andalusia. The authors are grateful to the Spanish General Directorate of Traffic (DGT) for providing the data necessary for this research. Griselda Lopez wishes to express her acknowledgement to the regional ministry of Economy, Innovation and Science of the regional government of Andalusia (Spain) for a scholarship to train teachers and researchers in Deficit Areas. ; López-Maldonado, G.; De Oña, J.; Garach, L.; Baena-Ruiz, L. (2016). Influence of deficiencies in traffic control devices in crashes on two-lane rural roads. Accident Analysis & Prevention. 96:130-139. https://doi.org/10.1016/j.aap.2016.08.008 ...

[EN] Over decades safety performance functions (SPF) have been developed as a tool for traffic safety in order to estimate the number of crashes in a specific road section. Despite the steady progression of methodological innovations in the crash analysis field, many fundamental issues have not been completely addressed. For instance: Is it better to use parsimonious or fully specified models? How should the goodness-of-fit of the models be assessed? Is it better to use a general model for the entire sample or specific models based on sample stratifications? This paper investigates the above issues by means of several SPFs developed using negative binomial regression models for two-lane rural highways in Spain. The models were based on crash data gathered over a 5-year period, using a broad number of explanatory variables related to exposure, geometry, design consistency and roadside features. Results show that the principle of parsimony could be too restrictive and that it provided simplistic models. Most previous studies apply conventional measurements (i.e., R-2, BIC, AIC, etc.) to assess the goodness-of-fit of models. Seldom do studies apply cumulative residual (CURE) analysis as a tool for model evaluation. This paper shows that CURE plots are essential tools for calibrating SPF, while also providing information for possible sample stratification. Previous authors suggest that sample segmentation increases the model accuracy. The results presented here confirm that finding, and show that the number of significant variables in the final models increases with sample stratification. This paper point out that fully models based on sample segmentation and on CURE may provide more useful insights about traffic crashes than general parsimonious models when developing SPF. (C) 2016 Elsevier Ltd. All rights reserved. ; The authors would like to thank the ERDF of the European Union for financial support via project "Bases para un sistema experto que permita la identificacion probabilistica de Tramos de Concentracion ...

[EN] Crashes are events that involve the interaction of different components: road, driver, vehicle and environment. Nevertheless, road is an essential component and improvements on road conditions are directly related to increased traffic safety. From 2008 to 2010 a road safety inspection project was developed, whose aim was to identify and collect information about hazardous points on the Complementary Road Network of Andalusia, Spain, and build a database with this information. These elements were technically called Susceptible Elements of Improvement (ESM), which are defined as elements on the road that show worse road conditions than the ideal road safety standards. The main objective of this paper is to study the relationship between ESMs, number of crashes and hazardous sections, by analysing the information gathered in this database with advanced data mining techniques. Economically, this project is rather beneficial, since the resources of governments are limited, and therefore, it is necessary to intervene in those sections that have a higher cost-effectiveness ratio. Therefore, these relationships between roads conditions and crashes will be identified by analysing the information available in this data set of the Government of Andalusia, which has not been previously used. (C) 2014 The Authors. Published by Elsevier Ltd. ; The authors would like to thank the FEDER of European Union for financial support via project "Analisis de la relacion entre Elementos Susceptibles de Mejora, Accidentes y TCA" of the "Programa Operativo FEDER de Andalucia 2007-2013". We also thank all Agency of Public Works and the Ministry of Furtherance and Housing of Andalusia Regional Government staff and researchers for their dedication and professionalism. Griselda Lopez Maldonado acknowledges to Consejeria de Economia, Innovacion y Ciencia of Junta de Andalucia for "Beca de formacion de personal docente e investigador en Areas Deficitarias". ; Martín, L.; Baena-Ruiz, L.; Garach, L.; López-Maldonado, G.; De Oña, J. (2014). ...

607 614 160 ; S ; [EN] Crashes are events that involve the interaction of different components: road, driver, vehicle and environment. Nevertheless, road is an essential component and improvements on road conditions are directly related to increased traffic safety. From 2008 to 2010 a road safety inspection project was developed, whose aim was to identify and collect information about hazardous points on the Complementary Road Network of Andalusia, Spain, and build a database with this information. These elements were technically called Susceptible Elements of Improvement (ESM), which are defined as elements on the road that show worse road conditions than the ideal road safety standards. The main objective of this paper is to study the relationship between ESMs, number of crashes and hazardous sections, by analysing the information gathered in this database with advanced data mining techniques. Economically, this project is rather beneficial, since the resources of governments are limited, and therefore, it is necessary to intervene in those sections that have a higher cost-effectiveness ratio. Therefore, these relationships between roads conditions and crashes will be identified by analysing the information available in this data set of the Government of Andalusia, which has not been previously used. (C) 2014 The Authors. Published by Elsevier Ltd. The authors would like to thank the FEDER of European Union for financial support via project "Analisis de la relacion entre Elementos Susceptibles de Mejora, Accidentes y TCA" of the "Programa Operativo FEDER de Andalucia 2007-2013". We also thank all Agency of Public Works and the Ministry of Furtherance and Housing of Andalusia Regional Government staff and researchers for their dedication and professionalism. Griselda Lopez Maldonado acknowledges to Consejeria de Economia, Innovacion y Ciencia of Junta de Andalucia for "Beca de formacion de personal docente e investigador en Areas Deficitarias". Martín, L.; Baena-Ruiz, L.; Garach, L.; López-Maldonado, G.; De ...