المؤلفون: Ayako Taniguchi, Marcus Enoch, Athanasios Theofilatos, Petros Ieromonachou

المصدر: Urban, Planning and Transport Research, Vol 10, Iss 1, Pp 514-535 (2022)

مصطلحات موضوعية: Autonomous vehicles, societal acceptance, risk perception, principal component analysis, ordered logit model, City planning, HT165.5-169.9, Transportation and communications, HE1-9990

الوصف: This paper investigates the acceptance of Autonomous Vehicles (AVs) in Japan, the UK and Germany and speculates on the implications for policy and practice. Three on-line surveys of 3,000 members of the public in total, which were conducted in January 2017 (Japan), March 2018 (UK) and November/December 2018 (Germany) were analysed using Principal Component Analysis and then with an Ordered Logit Model. It finds that acceptance of AVs was higher amongst people with higher expectations of the benefits of AVs, those with less knowledge of AVs, and those with lower perceptions of risk. It also finds frequent drivers and car passengers to be more accepting, but that socio-economic factors were mostly insignificant. Finally, there were significant cultural differences between the levels of acceptance between Japan (broadly positive), the UK (broadly neutral) and Germany (broadly negative). These findings suggest that AV promoters should raise (or at least maintain) expectations of AVs among the public; engage with the public to reverse the negative perception of AVs; address AV-generated fears; not bother targeting people by socio-economic group; target frequent car drivers and passengers with information about what AVs could do for them; and target countries where AVs already enjoy a positive image.

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2165-0020

URL الوصول: https://doaj.org/article/3c940a218e5d499aadd69bea2dcc999a

المؤلفون: George Botzoris, Athanasios Galanis, Panagiotis Lemonakis, Athanasios Theofilatos

المصدر: Land, Vol 12, Iss 10, p 1933 (2023)

مصطلحات موضوعية: trail paths, questionnaire survey, cluster analysis, k-means, Agriculture

الوصف: The current paper presents the results of a questionnaire survey which examines the trail path usage conditions on Peranthi Hill in Arta, a medium-sized city in northwestern Greece. The key element of the survey is the detailed mapping of the suburban trail path network of the city, and it focuses on questions about the types of activities of people who walk or bike on the trail paths and the day, time, duration and distance of their trips, as well as their equipment (bicycles, clothes, shoes, etc.). Further questions focus on maintenance and safety issues (e.g., security, guarding, cleanliness) and infrastructures which are considered necessary in order to improve the trail paths’ environment and their use. Taking into consideration that several routes are being developed on Peranthi Hill, with distinct differences in their layouts, the preferred layout is explored in relation to each activity selected by the users. The results of the questionnaire survey, and the cluster analysis specifically, aim to address these issues and assist stakeholders and policymakers in improving the trail paths in terms of their utility and usability level.

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-445X/12/10/1933; https://doaj.org/toc/2073-445X

URL الوصول: https://doaj.org/article/215d0cb5ff054e50b685d28f2c0a97a4

المؤلفون: Athanasios Theofilatos, Constantinos Antoniou, George Yannis

المصدر: Journal of Traffic and Transportation Engineering (English ed. Online), Vol 8, Iss 4, Pp 596-604 (2021)

مصطلحات موضوعية: Traffic engineering, Traffic crash, Injury severity, Children, Adolescents, Unobserved heterogeneity, Transportation engineering, TA1001-1280

الوصف: For the purpose of exploring the factors affecting injury severity of children and adolescents involved in traffic crashes in Greece, disaggregate crash data including 13,431 involving children and adolescents from all regions of Greece for the period 2006–2015 were utilized. In order to identify factors affecting injury severity and account for potential unobserved heterogeneity, a series of mixed logit models were utilized. To explore and address potential temporal instability of crash-related risk factors, the likelihood ratio test was applied. Results indicated that night crashes, crashes outside urban areas as well as crashes involving bicycles or powered-two-wheelers are associated with higher injury severity of children and adolescents. Interestingly, crashes involving pedestrians are associated with lower injury severity than head-on collisions and run-off-road collisions with fixed objects. Side and sideswipe crashes also result in lower injury severities. The likelihood ratio test indicated that crash-related factors are instable when comparing the models utilizing data before and after 2010 respectively. This study contributes to the current knowledge in the field, as to the best of our knowledge this is the first study that addresses unobserved heterogeneity when analyzing child and adolescent injury severity. Overall, the findings of this study provide useful insights and could assist in unveiling crash risk factors and prioritize programs and measures to promote road safety of children and adolescents.

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2095756420301598; https://doaj.org/toc/2095-7564

URL الوصول: https://doaj.org/article/380bc2d96f484ec68c5b6c9ff1bbf4fd

المؤلفون: Athanasios Theofilatos, George Yannis, Eleni I. Vlahogianni, John C. Golias

المصدر: Journal of Traffic and Transportation Engineering (English ed. Online), Vol 4, Iss 3, Pp 240-251 (2017)

مصطلحات موضوعية: Real-time traffic, Regime, Urban arterials, Cluster analysis, Bayesian logistic regression, Accidents, Transportation engineering, TA1001-1280

الوصف: This study aims to divide traffic into meaningful clusters (regimes) and to investigate their impact on accident likelihood and accident severity. Furthermore, the likelihood of powered-two-wheelers (PTWs) involvement in an accident is examined. To achieve the aims of the study, traffic and accident data during the period 2006–2011 from two major arterials in Athens were collected and processed. Firstly, a finite mixture cluster analysis was implemented to classify traffic into clusters. Afterwards, discriminant analysis was carried out in order to correctly assign new cases to the existing regimes by using a training and a testing set. Lastly, Bayesian logistic regression models were developed to investigate the impact of traffic regimes on accident likelihood and severity. The findings of this study suggest that urban traffic can be divided into different regimes by using average traffic occupancy and its standard deviation, measured by nearby upstream and downstream loop detectors. The results revealed potential hazardous traffic conditions, which are discussed in the paper. In general, high occupancy values increase accident likelihood, but tend to lead slight accidents, while PTWs are more likely to be involved in an accident, when traffic occupancy is high. Transitions from high to low occupancy also increase accident likelihood.

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2095756417301939; https://doaj.org/toc/2095-7564

URL الوصول: https://doaj.org/article/5277085c2ef141049e4aec23d98ea726

المؤلفون: Quan Yuan, Meng Lu, Athanasios Theofilatos, Yi-Bing Li

المصدر: Chinese Journal of Traumatology, Vol 20, Iss 1, Pp 20-26 (2017)

مصطلحات موضوعية: Rear-end crash, Trucks, Contributing factors, Injury severity, Medicine (General), R5-920

الوصف: Purpose: Rear-end crashes attribute to a large portion of total crashes in China, which lead to many casualties and property damage, especially when involving commercial vehicles. This paper aims to investigate the critical factors for occupant injury severity in the specific rear-end crash type involving trucks as the front vehicle (FV). Methods: This paper investigated crashes occurred from 2011 to 2013 in Beijing area, China and selected 100 qualified cases i.e., rear-end crashes involving trucks as the FV. The crash data were supplemented with interviews from police officers and vehicle inspection. A binary logistic regression model was used to build the relationship between occupant injury severity and corresponding affecting factors. Moreover, a multinomial logistic model was used to predict the likelihood of fatal or severe injury or no injury in a rear-end crash. Results: The results provided insights on the characteristics of driver, vehicle and environment, and the corresponding influences on the likelihood of a rear-end crash. The binary logistic model showed that drivers' age, weight difference between vehicles, visibility condition and lane number of road significantly increased the likelihood for severe injury of rear-end crash. The multinomial logistic model and the average direct pseudo-elasticity of variables showed that night time, weekdays, drivers from other provinces and passenger vehicles as rear vehicles significantly increased the likelihood of rear drivers being fatal. Conclusion: All the abovementioned significant factors should be improved, such as the conditions of lighting and the layout of lanes on roads. Two of the most common driver factors are drivers' age and drivers' original residence. Young drivers and outsiders have a higher injury severity. Therefore it is imperative to enhance the safety education and management on the young drivers who steer heavy duty truck from other cities to Beijing on weekdays.

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1008127516301833; https://doaj.org/toc/1008-1275

URL الوصول: https://doaj.org/article/2a107e7dc6594121b379cdbd69ad12ea

المؤلفون: Quan Yuan, Haiquan Yang, Jing Huang, Shengjie Kou, Yibing Li, Athanasios Theofilatos

المصدر: Advances in Mechanical Engineering, Vol 9 (2017)

مصطلحات موضوعية: Mechanical engineering and machinery, TJ1-1570

الوصف: In place of pedestrians and bikes, crashes involving electric bikes have become a large portion of crashes in China in these years. Crash data from Beijing, China, from the year 2009 to 2015 are used to identify how the factors impact injury severity of vehicle to electric bike crashes. A total of 150 crash samples are collected in order to investigate the influence of human, vehicle, road, and environment characteristics on injury severity. For that reason, a binary logistic model is established to analyze the significance of main contributing factors of crashes. This article describes the sample data, which includes time of incident, road users’ age and gender, crash patterns, and characteristics of road and environment. The results of descriptive statistics reveal that older riders and younger drivers are more likely to be involved in fatal crashes; the crashes have much higher frequency in motor vehicle roads, in suburban area, and in roads with higher speed limitation. The logistic regression model shows that older riders (age > 25) and electric bike turning increased the injury severity. On the contrary, the off-peak hour and the older driver (age > 25) of vehicle reduced the likelihood of fatal crash. These findings are hopeful to react on related research for accident prevention and injury reduction.

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1687-8140

URL الوصول: https://doaj.org/article/0b2c022aa806438faf547fc1482449aa

المؤلفون: Petros Ieromonachou, Athanasios Theofilatos, Marcus Enoch, Ayako Kaneko

المصدر: Urban, Planning and Transport Research. 10:514-535

مصطلحات موضوعية: General Medicine

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c950b3a96eb69ca77f619e7acf721e33
https://doi.org/10.1080/21650020.2022.2135590

المؤلفون: George, Yannis, Athanasios, Theofilatos, George, Pispiringos

المصدر: In Transportation Research Procedia 2017 25:2076-2083

المؤلفون: George Yannis, Constantinos Antoniou, Athanasios Theofilatos

المصدر: Journal of Traffic and Transportation Engineering (English ed. Online), Vol 8, Iss 4, Pp 596-604 (2021)
Journal of Traffic and Transportation Engineering (English Edition)

مصطلحات موضوعية: 050210 logistics & transportation, TA1001-1280, Temporal instability, Injury severity, 05 social sciences, 0211 other engineering and technologies, Transportation, Crash risk, 02 engineering and technology, Adolescents, Child and adolescent, Traffic engineering, Transportation engineering, Mixed logit, Traffic crash, Unobserved heterogeneity, Environmental health, 11. Sustainability, 021105 building & construction, 0502 economics and business, Crash data, Psychology, human activities, Children, Civil and Structural Engineering

الوصف: For the purpose of exploring the factors affecting injury severity of children and adolescents involved in traffic crashes in Greece, disaggregate crash data including 13,431 involving children and adolescents from all regions of Greece for the period 2006–2015 were utilized. In order to identify factors affecting injury severity and account for potential unobserved heterogeneity, a series of mixed logit models were utilized. To explore and address potential temporal instability of crash-related risk factors, the likelihood ratio test was applied. Results indicated that night crashes, crashes outside urban areas as well as crashes involving bicycles or powered-two-wheelers are associated with higher injury severity of children and adolescents. Interestingly, crashes involving pedestrians are associated with lower injury severity than head-on collisions and run-off-road collisions with fixed objects. Side and sideswipe crashes also result in lower injury severities. The likelihood ratio test indicated that crash-related factors are instable when comparing the models utilizing data before and after 2010 respectively. This study contributes to the current knowledge in the field, as to the best of our knowledge this is the first study that addresses unobserved heterogeneity when analyzing child and adolescent injury severity. Overall, the findings of this study provide useful insights and could assist in unveiling crash risk factors and prioritize programs and measures to promote road safety of children and adolescents.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f59680f50288174cb7f8bd24a02eb0f
http://www.sciencedirect.com/science/article/pii/S2095756420301598

المؤلفون: Dimitrios Gerekos, Nikolaos Lampiris, Pantelis Kopelias, Athanasios Theofilatos, Stavros Karkanis

المصدر: Proceedings of the 12th Hellenic Conference on Artificial Intelligence.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::973705fd963a758a343d30d6e68e299b
https://doi.org/10.1145/3549737.3549790