scholarly journals Comparison Analysis between Real Accident Locations and Simulated Risk Areas in An Urban Road Network

Safety ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. 60 ◽  
Author(s):  
Guido ◽  
Vitale ◽  
Astarita ◽  
Giofrè
Keyword(s):  
High Risk ◽  
Road Safety ◽  
Microscopic Simulation ◽  
Accident Rate ◽  
New Approach ◽  
Traffic Conflict ◽  
Accident Data ◽  
Risk Areas ◽  
Risk Rate ◽  
Historical Accident

Recently, many researchers have employed a microsimulation technique to study the chain of interactions among vehicles, which generates an accident occurrence in some circumstances. This new approach to studying road safety is named traffic conflict technique. The aim of this paper is to assess how the microscopic simulation is a useful tool to identify potentially unsafe vehicle interactions and how high-risk locations identified by a microsimulation technique are similar to the ones identified by using historical accident data. Results show that high-risk locations identified by the simulation framework are superimposable to those identified by using the historical accident database. In particular, the statistical analysis employed based on Pearson’s correlation demonstrates a significative correspondence between a risk rate defined with simulation and an accident rate determined by the observed accidents dataset.

INVESTIGATION OF OIL TANKER ACCIDENTS BY USING GIS

2021 ◽  
Vol 157 (A2) ◽  
Author(s):  
Ö Uğurlu ◽  
U Yıldırım ◽  
E Yüksekyıldız ◽  
R Nişancı ◽  
E Köse
Keyword(s):  
High Risk ◽  
Accident Data ◽  
Risk Areas ◽  
Tanker Accidents ◽  
Oil Tankers ◽  
Marine Accidents ◽  
Sea Area ◽  
Incident Rates ◽  
Oil Tanker ◽  
Systematic Database

This study focuses on marine accident data regarding accidents that occurred between the years 1998-2010 for ships within the oil tanker category. Data in the study include accident reports, which are recorded in the Global Integrated Shipping Information System (GISIS) and country reports. Textual accident data in the GISIS database were tabulated, thus creating a systematic database. By using accident data from this database, a marine accidents map for oil tankers was developed via the ArcGIS 10 program, the areas with the highest accident incident rates were determined, and reasons for oil tanker accidents were revealed through the assessment of factors such as accident type, accident incident number, accident scope, ship tonnage, navigational sea area type, and accident’s impacts on the environment, economy and personnel. The study showed that very high risk areas for oil tanker marine accidents include the Singapore Strait and Oresund, and high risk areas are the Bristol Channel, Suez Channel, Strait of Hormuz, Great Belt, Piraeus, Hull, İstanbul Strait, and Amsterdam, respectively. The study also established that oil tanker accidents are related to ship tonnage and navigational sea area type.

Analysis of Characteristics of Vehicle-Bicycle/Pedestrian Conflicts Using Video Drive Recorder

2011 ◽  
Vol 243-249 ◽  
pp. 4413-4417 ◽  
Author(s):  
Qing Feng Lin ◽  
Bo Cheng ◽  
Guang Quan Lu
Keyword(s):  
Field Test ◽  
Traffic Control ◽  
Road Safety ◽  
Traffic Accidents ◽  
Safety Management ◽  
The Road ◽  
Road Design ◽  
Traffic Conflict ◽  
Accident Data ◽  
One Year

Vehicle to pedestrian/bicycle accidents account for a large proportion of traffic accidents in China. In order to study the characteristics of vehicle to pedestrian/bicycle conflicts, 50 taxis are chosen as the test vehicles. A field-test was conducted using video driver recorder in Beijing for one year. A large amount of traffic conflict and accident data was collected in real driving environment. Considering the factors including conflict type, conflict time, conflict location, traffic control and conflict speed etc., the traffic conflict characteristics of vehicle to pedestrian/bicycle were analyzed. The results might contribute to the road safety management, road design and accident prevention technology.

Investigation of Oil Tanker Accidents by using GIS

2015 ◽  
Vol 157 (A2) ◽  
pp. 113-124
Keyword(s):  
High Risk ◽  
Accident Data ◽  
Risk Areas ◽  
Tanker Accidents ◽  
Oil Tankers ◽  
Marine Accidents ◽  
Sea Area ◽  
Incident Rates ◽  
Oil Tanker ◽  
Systematic Database

"This study focuses on marine accident data regarding accidents that occurred between the years 1998-2010 for ships within the oil tanker category. Data in the study include accident reports, which are recorded in the Global Integrated Shipping Information System (GISIS) and country reports. Textual accident data in the GISIS database were tabulated, thus creating a systematic database. By using accident data from this database, a marine accidents map for oil tankers was developed via the ArcGIS 10 program, the areas with the highest accident incident rates were determined, and reasons for oil tanker accidents were revealed through the assessment of factors such as accident type, accident incident number, accident scope, ship tonnage, navigational sea area type, and accident’s impacts on the environment, economy and personnel. The study showed that very high risk areas for oil tanker marine accidents include the Singapore Strait and Oresund, and high risk areas are the Bristol Channel, Suez Channel, Strait of Hormuz, Great Belt, Piraeus, Hull, ?stanbul Strait, and Amsterdam, respectively. The study also established that oil tanker accidents are related to ship tonnage and navigational sea area type."

Combination of norfloxacin and cisapride in prevention of SBP in high risk patients: A new approach

2001 ◽  
Vol 120 (5) ◽  
pp. A376-A376
Author(s):  
B JEETSANDHU ◽  
R JAIN ◽  
J SINGH ◽  
M JAIN ◽  
J SHARMA ◽  
...  
Keyword(s):  
High Risk ◽  
New Approach ◽  
High Risk Patients ◽  
Risk Patients

Percutaneous Cardiopulmonary Bypass Support: A New Approach to High-Risk Angioplasty

1992 ◽  
Vol 4 (2) ◽  
pp. 347-357 ◽  
Author(s):  
Ellen Strauss McErlean ◽  
Jean A. Cross ◽  
Joan E. Booth
Keyword(s):  
Cardiopulmonary Bypass ◽  
High Risk ◽  
New Approach

THE (DOMINANCE BASED) ROUGH SET APPROACH APPLIED TO AIR POLLUTION IN A HIGH RISK RATE INDUSTRIAL AREA

2018 ◽  
Vol 17 (3) ◽  
pp. 591-599 ◽  
Author(s):  
Agata Matarazzo ◽  
Maria Teresa Clasadonte ◽  
Carlo Ingrao
Keyword(s):  
Air Pollution ◽  
High Risk ◽  
Rough Set ◽  
Industrial Area ◽  
Risk Rate

scholarly journals An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City

2021 ◽  
Vol 13 (2) ◽  
pp. 826
Author(s):  
Meiling Zhou ◽  
Xiuli Feng ◽  
Kaikai Liu ◽  
Chi Zhang ◽  
Lijian Xie ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Assessment Model ◽  
Risk Assessments ◽  
Risk Assessment Model ◽  
Risk Area ◽  
The North ◽  
Coastal Cities ◽  
Risk Areas ◽  
The City

Influenced by climate change, extreme weather events occur frequently, and bring huge impacts to urban areas, including urban waterlogging. Conducting risk assessments of urban waterlogging is a critical step to diagnose problems, improve infrastructure and achieve sustainable development facing extreme weathers. This study takes Ningbo, a typical coastal city in the Yangtze River Delta, as an example to conduct a risk assessment of urban waterlogging with high-resolution remote sensing images and high-precision digital elevation models to further analyze the spatial distribution characteristics of waterlogging risk. Results indicate that waterlogging risk in the city proper of Ningbo is mainly low risk, accounting for 36.9%. The higher-risk and medium-risk areas have the same proportions, accounting for 18.7%. They are followed by the lower-risk and high-risk areas, accounting for 15.5% and 9.6%, respectively. In terms of space, waterlogging risk in the city proper of Ningbo is high in the south and low in the north. The high-risk area is mainly located to the west of Jiangdong district and the middle of Haishu district. The low-risk area is mainly distributed in the north of Jiangbei district. These results are consistent with the historical situation of waterlogging in Ningbo, which prove the effectiveness of the risk assessment model and provide an important reference for the government to prevent and mitigate waterlogging. The optimized risk assessment model is also of importance for waterlogging risk assessments in coastal cities. Based on this model, the waterlogging risk of coastal cities can be quickly assessed, combining with local characteristics, which will help improve the city’s capability of responding to waterlogging disasters and reduce socio-economic loss.

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