George Yannis

Prof. George Yannis

National Technical University of Athens
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2014 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
ATAthanasios Theofilatos
Athanasios Theofilatos
George YannisGeorge Yannis
George Yannis

1 November 2013 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
RBRuth Bergel-Hayat
Ruth Bergel-Hayat
MDMohammed Debbarh
Mohammed Debbarh
Constantinos AntoniouConstantinos Antoniou
Constantinos Antoniou
George YannisGeorge Yannis
George Yannis

1 May 2009 in Transportation Research Part F: Traffic Psychology and Behaviour
Verified
Journal Article
Closed access
EPEleonora Papadimitriou
Eleonora Papadimitriou
George YannisGeorge Yannis
George Yannis
JGJohn Golias
John Golias

1 February 2020 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
Apostolos ZiakopoulosApostolos Ziakopoulos
Apostolos Ziakopoulos
George YannisGeorge Yannis
George Yannis

22 July 2013 in Transportation Planning and Technology
Verified
Journal Article
Closed access
George YannisGeorge Yannis
George Yannis
EPEleonora Papadimitriou
Eleonora Papadimitriou
ATAthanasios Theofilatos
Athanasios Theofilatos
This paper investigates pedestrians' traffic gap acceptance for mid-block street crossing in urban areas. A field survey was carried out at an uncontrolled mid-block location in Athens, Greece. Pedestrians' decisions and traffic conditions were videotaped in terms of the size of traffic gaps rejected or accepted, waiting times and crossing attempts and vehicle speeds. A lognormal regression model was developed to examine pedestrian gap acceptance. It was found that gap acceptance was better explained by the distance from the incoming vehicle, rather than its speed. Other significant effects included illegal parking, presence of other pedestrians and incoming vehicles’ size. A binary logistic regression model was developed to examine the effect of traffic gaps and other parameters on pedestrians' decisions to cross the street or not. The results reveal that this decision is affected by the distance from the incoming vehicles and the waiting times of pedestrians.

1 September 2020 in Transportation Research Interdisciplinary Perspectives
Verified
Journal Article
Open access
CKChristos Katrakazas
Christos Katrakazas
EMEva Michelaraki
Eva Michelaraki
Marios SekadakisMarios Sekadakis
Marios Sekadakis
George YannisGeorge Yannis
George Yannis
The spread of the new coronavirus COVID-19, has led to unparalleled global measures such as lockdown and suspension of all retail, recreation and religious activities during the first months of 2020. Nevertheless, no scientific evidence has been reported so far with regards to the impact on road safety and driving behavior. This paper investigates the effect of COVID-19 on driving behavior and safety indicators captured through a specially developed smartphone application and transmitted to a back-end platform. These indicators are reflected with the spread of COVID-19 and the respective governmental countermeasures in two countries, namely Greece and Kingdom of Saudi Arabia (KSA), which had the most completed routes for users of the smartphone applications. It was shown that reduced traffic volumes due to lockdown, led to a slight increase in speeds by 6–11%, but more importantly to more frequent harsh acceleration and harsh braking events (up to 12% increase) as well mobile phone use (up to 42% increase) during March and April 2020, which were the months where COVID-19 spread was at its peak. On the bright side, accidents in Greece were reduced by 41% during the first month of COVID-19-induced measures and driving in the early morning hours (00:00–05:00) which are considered dangerous dropped by up to 81%. Policymakers should concentrate on establishing new speed limits and ensure larger spaces for cycling and pedestrians in order to enlarge distances between users in order to safeguard both an enhanced level of road safety and the prevention of COVID-19 spread.