A GIS-based assessment of long-term traffic accidents using spatiotemporal and empirical Bayes analysis in Turkey

Erdoğan, Saffet; Dereli̇, Mehmet Ali; Şenol, Halil İbrahim

doi:10.1007/s12518-022-00419-1

Cited by 6 publications

(3 citation statements)

References 45 publications

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“…Some studies focus on regional traffic accident hotspots. Erdo gan et al [18] studied the spatiotemporal distribution of traffic accident hotspots in Turkey and then put forward effective preventive measures. More studies focus on urban traffic accident hotspots.…”

Section: Literature Review 21 Traffic Accident Hotspotsmentioning

confidence: 99%

The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City

Zhang,

Ci,

Huang

et al. 2024

Sustainability

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The COVID-19 pandemic has had a substantial impact on the lives of city residents and has reshaped working patterns, with a concomitant impact on traffic accidents. We correlated data from multiple sources to explore the impact of residents’ mobility and residents’ travel behavior on the spatiotemporal distribution characteristics of urban traffic accident hotspots and its internal mechanism under the impact of the pandemic and subsequent policy measures. The results showed that the pandemic and policy measures inhibited the mobility of residents, had a significant impact on working patterns, and changed the composition structure of the purpose of residents’ travel behavior, which substantially impacted the spatiotemporal distribution characteristics of urban traffic accident hotspots. The quantity of traffic accidents decreased significantly, and the spatial distribution characteristics of urban traffic accident hotspots changed substantially, with accident hotspots changing from the single-center spatial distribution before the pandemic to the multi-center spatial distribution during the pandemic; urban accident-prone areas changed from being mainly distributed in the central business district before the pandemic to being more widely distributed in public service areas during the pandemic. The results of this study may be helpful to better understand the spatiotemporal distribution characteristics of urban traffic accident hotspots and their intrinsic mechanism.

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Section: Literature Review 21 Traffic Accident Hotspotsmentioning

confidence: 99%

The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City

Zhang,

Ci,

Huang

et al. 2024

Sustainability

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“…основанных на статистическом анализе накопленных данных о ДТП. Среди них наиболее распространены работы на основе применения геоинформационных систем [16,17,18,19,20,21], также применяются методы динамического моделирования на основе вейвлет-анализа [22], на основе байесовского метода [23].…”

Section: Introductionunclassified

Factors for traffic accident-prone section formation on federal roads

Pechatnova

Nechaev

2023

Vestn. SibADI

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Introduction. Road safety is one of the state targets. One of the indicators of the state of road traffic accidents in state programs is the number of traffic accident-prone section. Reducing their number will lead to a significant increase in the level of security. This is due to the fact that a large number of accidents, deaths and injuries are concentrated in these sections. Therefore, the task of determining the factors of the formation of traffic accidentprone section is relevant.Materials and methods. The study is based on data on accidents that occurred on the federal motorways of the Altai Territory in the period from 2018 to 2021. The procedure for performing the work included three stages. At the first stage, traffic accident-prone section was identified based on the data for 2021. At the second stage, the features of accidents in these sections in previous years were determined. At the third stage, the main factors of accident formation were determined by analyzing the layout of traffic management tools, video material on roads (road shooting).Results. A comprehensive analysis of traffic accident-prone section of federal roads in the Altai Territory allowed to identify a number of typical conditions that contribute to the formation of increased accident risk. Among them: a significant change in the speed limit, proximity to the city, the presence of a large number of conflict points, road works.The scope of the study / the possibility of subsequent use of the results of scientific work. The results of the work can be used in the work on the comprehensive study of the factors of occurrence of traffic accident-prone section on federal motorways, modelling various road conditions and environmental conditions on the degree of accident of a road section.Practical importance. Knowledge about the main factors and conditions of the formation of traffic accidentprone section will allow responsible services to reduce the degree of danger of similar sections by preventing the simultaneous action of all selected conditions.Originality. For the first time, the study identifies and substantiates specific conditions that collectively contribute to the formation of traffic accident-prone section on federal roads.

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“…Urban traffic accidents may be a significant issue in terms of pecuniary and nonpecuniary damage in urban environments that lead to loss of lives, personal injury, and lost productivity [7]. Thus, road safety is a major societal concern and a constant goal of rules and regulations developed and implemented in the transportation sector [8].…”

Section: Introductionmentioning

confidence: 99%

A GIS-Based Spatiotemporal Modelling of Urban Traffic Accidents in Tabriz City during the COVID-19 Pandemic

et al. 2022

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The main aim of the present study was to investigate the spatiotemporal trends of urban traffic accident hotspots during the COVID-19 pandemic. The severity index was used to determine high-risk areas, and the kernel density estimation method was used to identify risk of traffic accident hotspots. Accident data for the time period of April 2018 to November 2020 were obtained from the traffic police of Tabriz (Iran) and analyzed using GIS spatial and network analysis procedures. To evaluate the impacts of COVID-19, we used the seasonal variation in car accidents to analyze the change in the total number or urban traffic accidents. Eventually, the sustainability of urban transport was analyzed based on the demographic and land use data to identify the areas with a high number of accidents and its respective impacts for the local residences. Based on the results, the lockdown measures in response to the pandemic have led to significant reductions in road traffic accidents. From the perspective of urban planning, the spatiotemporal urban traffic accident analysis indicated that areas with high numbers of elderly people and children were most affected by car accidents. As we identified the hotspots of urban traffic accidents and evaluated their spatiotemporal correlation with land use and demography characteristics, we conclude that the results of this study can be used by urban managers and support decision making to improve the situation, so that fewer accidents will happen in the future.

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A GIS-based assessment of long-term traffic accidents using spatiotemporal and empirical Bayes analysis in Turkey

Cited by 6 publications

References 45 publications

The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City

The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City

Factors for traffic accident-prone section formation on federal roads

A GIS-Based Spatiotemporal Modelling of Urban Traffic Accidents in Tabriz City during the COVID-19 Pandemic

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