Spatio-Temporal Pedestrian Accident Analysis to Improve Urban Pedestrian Safety: The case of the Eskisehir Motorway

Kaygisiz, Omur
Yildiz, Ahmet
Duzgun, Sebnem
Determining pedestrian accident hotspots on road segments is a crucial part of the pedestrian safety assessment as it is used to prioritize problematic parts of a road network for in particularly planning and implementation strategies. Moreover, the spatial pattern of the pedestrian accidents may change over time due to several factors. In order to better understand pedestrian safety conditions, pedestrian accident patterns have to be analysed with regard to both space and time. This paper adapts such a spatio-temporal hotspot detection method for the analysis of pedestrian accidents. In this study, 189 traffic accidents involving pedestrians that resulted in injury or fatality on the Eskisehir Motorway (Turkey) between the years of 2005 and 2010 are mapped with their spatial and temporal information. Network-based Kernel Density Estimation is used to examine the hotspots of pedestrian accidents and their changes over the years. Then, the significances of the results are evaluated by using Network-based the Nearest Neighbor Distance and the K-function methods. The impact of land use change and taken measures are evaluated based on spatio-temporal hotspot analysis.


Spatio-temporal accident analysis for accident prevention in relation to behavioral factors in driving: The case of South Anatolian Motorway
Kaygisiz, Omur; Duzgun, Sebnem; Yildiz, Ahmet; ŞENBİL, Metin (2015-08-01)
Analyzing the pattern of traffic accidents on road segments can highlight the hazardous locations where the accidents occur frequently and help to determine problematic parts of the roads. The objective of this paper is to utilize accident hotspots to analyze the effect adifferent measures on the behavioral factors in driving. Every change in the road and its environment affects the choices of the driver and therefore the safety of the road itself. A spatio-temporal analysis of hotspots therefore can highli...
Analysis of comprehension of traffic signs: a pilot study in Ankara, Turkey
Kırmızıoğlu, Erkut; Tüydeş Yaman, Hediye; Department of Civil Engineering (2010)
Traffic signs, which are extremely important for traffic safety, aims to regulate traffic by providing information about the characteristics of road and road environment for drivers. The success of traffic signs mainly rely on the easy comprehensibility of its meaning in a short time. Further more, today’s global economies and transportation systems emphasize the need for more universial traffic signs which was the main motivation of two main treaties on traffic signs; Vienna Convetion in 1968 and European ...
Traffic accident analysis using GIS: a case study of Kyrenia City
Kara, Can; Akcit, Nuhcan (2015-03-19)
Traffic accidents are causing major deaths in urban environments, so analyzing locations of the traffic accidents and their reasons is crucial. In this manner, patterns of accidents and hotspot distribution are analyzed by using geographic information technology. Locations of the traffic accidents in the years 2011, 2012 and 2013 are combined to generate the kernel distribution map of Kyrenia City. This analysis aims to find high dense intersections and segments within the city. Additionally, spatial autoco...
Evaluation of pedestrian safety around bus stops using geographic information systems
Yüksekol, İrem; Tüydeş Yaman, Hediye; Department of Civil Engineering (2012)
Pedestrians are the most vulnerable road users in terms of traffic safety. Public transit users mostly have a pedestrian trip before and/or after the transit one. Thus, pedestrian activity is produced at transit stops naturally. The main focus of this study is pedestrian safety problems around transit stops, more specifically bus stops. The proposed methodology first includes Geographic Information Systems (GIS) analyses of the pedestrian safety along the study corridors and around bus stops on them; this e...
Speed-Related Traffic Accident Analysis Using Gis-Based Dbscan And Nnh Clustering
Topcuoglu, B.; MEMİŞOĞLU BAYKAL, TUĞBA; Tüydeş Yaman, Hediye (2022-8-05)
To ensure road safety and reduce traffic accidents, it is essential to determine geographical locations where traffic accidents occur the most. Spatial clustering methods of hot spots are used very effectively to detect such risky areas and take precautions to minimize or even avoid fatal or injury accidents. This study aims to determine speed-related hot spots in the pilot Mersin Region, which includes seven cities in the central-southern part of Turkey. Two different hot spot clustering methods, the Neare...
Citation Formats
O. Kaygisiz, A. Yildiz, and S. Duzgun, “Spatio-Temporal Pedestrian Accident Analysis to Improve Urban Pedestrian Safety: The case of the Eskisehir Motorway,” GAZI UNIVERSITY JOURNAL OF SCIENCE, pp. 623–630, 2015, Accessed: 00, 2020. [Online]. Available: