Exploring spatial autocorrelation of traffic crashes based on severity

A Soltani, S Askari - Injury, 2017 - Elsevier
As a developing country, Iran has one of the highest crash-related deaths, with a typical rate
of 15.6 cases in every 100 thousand people. This paper is aimed to find the potential …

Road crash zone identification and remedial measures using GIS

VL Pusuluri, MR Dangeti, M Kotamrazu - Innovative infrastructure …, 2023 - Springer
Abstract According to the World Bank Report 2020, there is one fatal road crash every four
minutes globally. Loss of lives and limbs seriously hampers the livelihood of the victims and …

Assessment of four urban forest as environmental indicator of air quality: a study in a brazilian megacity

M Ramon, AP Ribeiro, CYS Theophilo, EG Moreira… - Urban …, 2023 - Springer
Vehicular emissions comprise a main source of air pollutants, especially particulate matter
(PM), which contains toxic compounds. Brazil has been restricting vehicular emissions for …

Sensing accident-prone features in urban scenes for proactive driving and accident prevention

S Mishra, PK Rajendran… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In urban cities, visual information on and along roadways is likely to distract drivers and lead
to missing traffic signs and other accident-prone (AP) features. To avoid accidents due to …

GIS-based urban traffic assessment in a historical European city under the influence of infrastructure works and COVID-19

G Droj, L Droj, AC Badea, PI Dragomir - Applied Sciences, 2023 - mdpi.com
Urban areas have developed organically over time, driven by the economic success of
cities. However, this development has usually been accompanied by the side effects of …

A two-phase clustering approach for traffic accident black spots identification: integrated GIS-based processing and HDBSCAN model

D Wang, Y Huang, Z Cai - International journal of injury control and …, 2023 - Taylor & Francis
Identifying black spots effectively and accurately is a pivotal and challenging task to improve
road traffic safety. A novel black spot identification model is proposed by integrating the GIS …

Investigating road conditions of crash blackspots in Addis Ababa, Ethiopia: a random parameters negative binomial model

TB Ambo, J Ma, C Fu, EA Atumo - International Journal of …, 2024 - Taylor & Francis
Crash blackspots significantly impact and, to some extent, determines the entire road
network's safety level. Therefore, it is imperative to identify these blackspots and investigate …

Identification and prioritization of “black spots” without using accident information

M Keymanesh, H Ziari, S Roudini… - … and Simulation in …, 2017 - Wiley Online Library
It is attempted to identify and prioritize the accident prone points (black spots) in “Iraanshahr‐
Sarbaaz‐Chabahar” road located in Baluchistan, Iran, without no use of accident data but …

Modelling sustainable urban transport performance in the Jakarta city Region: a GIS approach

PA Nadi, AK Murad - Sustainability, 2019 - mdpi.com
Measuring performance of Sustainable Urban Transport is an important effort to face the
challenges of future trends. This study used Geographic Information System (GIS) …

Inequalities in emergency service accessibility: spatial analysis of urban infrastructure

O Mansourihanis, MJM Tilaki, A Zaroujtaghi… - Journal of Place …, 2024 - emerald.com
Purpose This study aims to investigate the relationship between emergency response times
and crash severity in New York City, focusing on spatial disparities and their implications. It …