☆ 4.6 Article

Pedestrian Road Traffic Accidents in Metropolitan Areas: GIS-Based Prediction Modelling of Cases in Mashhad, Iran

SUSTAINABILITY (2023)

Related references

Note: Only part of the references are listed.

Review Multidisciplinary Sciences

Analytical hierarchy process for sustainable agriculture: An overview

Anuj Kumar et al.

Summary: United Nation Sustainable Development Goal Two (UNSDG-2) aims to eradicate hunger and ensure food security for all by 2030. Achieving this goal requires integrating various sciences, including mathematics and statistics, into agricultural practices to make them sustainable. Agriculture is the backbone of the economic systems in both developing and developed countries, but faces challenges due to conflicting issues during decision-making. Multi-criteria decision-making (MCDM) techniques, such as the Analytical Hierarchy Process (AHP), have proven to be effective in solving complex agriculture-related problems and finding suitable alternatives. This article reviews the application of AHP in agriculture, including the models used, data sources, and overall precision achieved in recent years.

METHODSX (2023)

Add to Collection

Article Engineering, Industrial

Examining the impact of exposure, built environment and socio-demographics on pedestrian safety: A case study of Greater London

Michael Forrest et al.

Summary: This paper investigates factors associated with pedestrian safety in Greater London and finds that race, school number, job density, alcohol expenditure, crime rate, children in child benefit households, average number of cars per household, proportion of green space, and percentage of adults who commute by walking are all associated with pedestrian crash frequency. The study identifies important determinates of ward-level pedestrian safety and reveals previously unknown discrepancies in pedestrian safety between boroughs in Greater London.

SAFETY SCIENCE (2023)

Add to Collection

Article Public, Environmental & Occupational Health

A decade of child pedestrian safety in England: a bayesian spatio-temporal analysis

Niloofar Shoari et al.

Summary: This study aimed to understand the factors affecting child pedestrian safety in England from 2011 to 2020. The results showed that child pedestrian crash frequencies are positively correlated with child population, unemployment-related claimants, road density, and the number of schools, while the number of licensed vehicles per capita and walking/cycling rates contribute to improved child pedestrian safety. Although overall child pedestrian safety has improved, there is still socio-economic inequality. The study also found variations in the rate of decline in crashes among local authorities, indicating the impact of localized risk factors and mitigation measures on child pedestrian safety.

BMC PUBLIC HEALTH (2023)

Add to Collection

Article Environmental Studies

Spatial Association Between Urban Neighbourhood Characteristics left-to-right markleft-to-right markand left-to-right markleft-to-right markleft-to-right markChild Pedestrian-Motor Vehicle Collisionleft-to-right marks

Emad Soroori et al.

Summary: This study investigated the relationship between environmental and socioeconomic factors and motor vehicle collisions involving young pedestrians in Mashhad, Iran. The findings revealed several factors, including population of young people, road area ratio, main road intersection ratio, average maximum speed limit, non-motorized travels, sidewalk area ratio, sidewalk disconnections, number of schools, unemployment ratio, illiteracy rate, and open space ratio, significantly associated with child pedestrian-motor vehicle collisions. However, these associations varied across the study area, suggesting the presence of unknown factors or interactions of known factors.

APPLIED SPATIAL ANALYSIS AND POLICY (2023)

Add to Collection

Article Green & Sustainable Science & Technology

The Analysis of the Factors Influencing the Severity of Bicyclist Injury in Bicyclist-Vehicle Crashes

Elzbieta Macioszek et al.

Summary: Transportation and technological development play a significant role in shaping urban areas, bringing both benefits and negative impacts. To achieve sustainable development, it is crucial to prioritize safety and sustainability in urban development. A study on bicyclist-vehicle crashes found that factors such as driver gender and age, alcohol use, speeding, cyclist age, alcohol consumption during cycling, cycling speed before the incident, vehicle type, incident location, time of day, and incident type significantly influence the occurrence and severity of bicyclist injuries.

SUSTAINABILITY (2022)

Add to Collection

Article Construction & Building Technology

Fuzzy-based GIS approach with new MCDM method for bike-sharing station site selection according to land-use types

Ezgi Eren et al.

Summary: This paper presents a hybrid approach including FL-GIS, AHP, VIKOR, and Psychometric-VIKOR for selecting BSS station sites. By integrating fuzzy logic, AHP, and optimization methods, the approach provides a useful tool for decision-making in urban investments involving uncertainty.

SUSTAINABLE CITIES AND SOCIETY (2022)

Add to Collection

Article Green & Sustainable Science & Technology

Evaluation of Exclusive Pedestrian Phase Safety Performance at One-Level Signalized Intersections in Vilnius

Dainora Juozeviciute et al.

Summary: This study aims to examine the effectiveness of one-level signalized intersections with exclusive pedestrian phases in reducing vehicle-pedestrian crashes resulting in pedestrian injury or fatality. The analysis conducted in Vilnius reveals that the implementation of exclusive pedestrian phases without diagonal crossing at signalized intersections has led to a significant reduction in pedestrian accidents.

SUSTAINABILITY (2022)

Add to Collection

Article Green & Sustainable Science & Technology

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

Bakhtiar Feizizadeh et al.

Summary: The aim of this study was to investigate the spatiotemporal trends of urban traffic accident hotspots during the COVID-19 pandemic. The results showed that the lockdown measures significantly reduced road traffic accidents, with areas with high numbers of elderly people and children being the most affected. The findings of this study can be used by urban managers to support decision making and improve the situation, leading to fewer accidents in the future.

SUSTAINABILITY (2022)

Add to Collection

Article Computer Science, Information Systems

Data-Driven Approach to Assess Street Safety: Large-Scale Analysis of the Microscopic Design

Wanshu Wu et al.

Summary: Street safety is an important aspect that affects people's psychological state and behavior. Previous assessments focused more on social and physical factors, with limited consideration for microscopic design. This study used multisource big data to assess street safety on a large scale, considering individual perception. The results showed that big data can effectively measure physical elements and design features, improving the accuracy and effectiveness of the assessment method.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2022)

Add to Collection

Article Environmental Sciences

Identification of Suitable Site-specific Recharge Areas using Fuzzy Analytic Hierarchy Process (FAHP) Technique: A Case Study of Iranshahr Basin (Iran)

Mojtaba Zaresefat et al.

Summary: This study identified suitable sites for artificial recharge groundwater in the Iranshahr Basin using GIS fuzzy logic spatial modeling, determining four priority locations for future planning.

AIR SOIL AND WATER RESEARCH (2022)

Add to Collection

Article Construction & Building Technology

Using Machine Learning Models to Forecast Severity Level of Traffic Crashes by R Studio and ArcGIS

Bara' W. Al-Mistarehi et al.

Summary: This study uses machine learning techniques to predict crash severity levels and future crashes, and analyzes the causes, conditions, and distribution of accidents. By using association rules and spatial statistics analysis, the study explores the impact of driver characteristics, road geometry, environment, time, weather, and speed on crashes. The results show that the random forest model is the most suitable algorithm for prediction.

FRONTIERS IN BUILT ENVIRONMENT (2022)

Add to Collection

Article Transportation Science & Technology

Explainable, automated urban interventions to improve pedestrian and vehicle safety

C. Bustos et al.

Summary: This paper proposes a method that combines public data sources, large-scale street imagery, and computer vision techniques to address pedestrian and vehicle safety. The aim is to create a fine-grained map of hazard levels across a city, and to identify interventions that might simultaneously improve pedestrian and vehicle safety.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

Add to Collection

Article Public, Environmental & Occupational Health

Hidden patterns among the fatally injured pedestrians in an Iranian population: application of categorical principal component analysis (CATPCA)

Milad Jamali-Dolatabad et al.

Summary: CATPCA analysis of data on 1782 fatal pedestrian road traffic injuries in East Azerbaijan, Iran revealed six main components: demographic characteristics, injury type, injury severity, knowledge and observance of traffic rules, quality of medical relief, and environmental conditions. These patterns suggested that interactions between correlated features contributed to a higher mortality rate.

BMC PUBLIC HEALTH (2021)

Add to Collection

Article Physics, Multidisciplinary

Safety and efficiency impact of pedestrian-vehicle conflicts at non signalized midblock crosswalks based on fuzzy cellular automata

Chuanyao Li et al.

Summary: This paper investigates the efficacy of using Midblock Zebra Crosswalk (MZC) to regulate unauthorized midblock crossing, utilizing a Fuzzy Cellular Automata (FCA) model to analyze the impact of pedestrian-vehicle interactions on safety and efficiency. The model explores the decision making process of individual drivers and evaluates safety and efficiency indicators under different scenarios of obedient drivers and traffic flows.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2021)

Add to Collection

Article Construction & Building Technology

Towards sustainable pedestrian mobility in Riyadh city, Saudi Arabia: A case study

B. Sultan et al.

Summary: A study was conducted to evaluate individual travel patterns and pedestrian environment quality in Riyadh city, focusing on the Prince Sultan University community. Through a web-based survey and on-site evaluation, the study identified factors influencing mode choice and obstacles to sustainable mobility transformation. Recommendations were proposed based on the study's conclusions to promote sustainable mobility in Riyadh city.

SUSTAINABLE CITIES AND SOCIETY (2021)

Add to Collection

Article Ergonomics

A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics

Junbiao Su et al.

Summary: Road safety is a major public health issue, with pedestrians more vulnerable to fatal and severe injuries in crashes compared to car occupants. A joint probability model is adopted to simultaneously model crash occurrence and pedestrian involvement, considering various influencing factors. The study highlights the importance of better design and planning of built environments for pedestrian safety and walkability in high-density cities.

ACCIDENT ANALYSIS AND PREVENTION (2021)

Add to Collection

Article Multidisciplinary Sciences

Prediction and Analysis of the Severity and Number of Suburban Accidents Using Logit Model, Factor Analysis and Machine Learning: A case study in a developing country

Meisam Ghasedi et al.

Summary: This study investigates the factors affecting vehicle and pedestrian accidents in the busiest suburban highway of Guilan Province, Iran. The research finds that factors such as exceeding lawful speed, rainy weather, and driver age play significant roles in vehicle accidents, while rainy weather and lighting conditions are the most contributing factors in pedestrian accidents. Machine learning model shows higher predictive power in all cases, especially in pedestrian accidents.

SN APPLIED SCIENCES (2021)

Add to Collection

Article Public, Environmental & Occupational Health

Multiple-scale spatial analysis of paediatric, pedestrian road traffic injuries in a major city in North-Eastern Iran 2015-2019

Hamidreza Shabanikiya et al.

BMC PUBLIC HEALTH (2020)

Add to Collection

Article Environmental Sciences

Qualitative Field Observation of Pedestrian Injury Hotspots: A Mixed-Methods Approach for Developing Built- and Socioeconomic-Environmental Risk Signatures

Nadine Schuurman et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver's Perspective

Natalia Casado-Sanz et al.

SUSTAINABILITY (2020)

Add to Collection

Article Engineering, Industrial

Investigation of clusters and injuries in pedestrian crashes using GIS in Changsha, China

Lin Hu et al.

SAFETY SCIENCE (2020)

Add to Collection

Article Computer Science, Information Systems

Examining Hotspots of Traffic Collisions and their Spatial Relationships with Land Use: A GIS-Based Geographically Weighted Regression Approach for Dammam, Saudi Arabia

Muhammad Tauhidur Rahman et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)

Add to Collection

Article Construction & Building Technology

Impacts of Autonomous Vehicles on Public Health: A Conceptual Model and Policy Recommendations

Soheil Sohrabi et al.

SUSTAINABLE CITIES AND SOCIETY (2020)

Add to Collection

Article Multidisciplinary Sciences

AHP-express: A simplified version of the analytical hierarchy process method

Jose Eugenio Leal

METHODSX (2020)

Add to Collection

Article Environmental Studies

Modeling the Impact of Urbanization on Land-Use Change in Bahir Dar City, Ethiopia: An Integrated Cellular Automata-Markov Chain Approach

Melaku Bogale Fitawok et al.

LAND (2020)

Add to Collection

Article Public, Environmental & Occupational Health

Crash severity modelling using ordinal logistic regression approach

Isaac Ofori Asare et al.

INTERNATIONAL JOURNAL OF INJURY CONTROL AND SAFETY PROMOTION (2020)

Add to Collection

Article Public, Environmental & Occupational Health

Exploring the factors influencing pedestrian-vehicle crash severity in Dhaka, Bangladesh

Niaz Mahmud Zafri et al.

INTERNATIONAL JOURNAL OF INJURY CONTROL AND SAFETY PROMOTION (2020)

Add to Collection

Article Psychology, Applied

Spatial-temporal analysis of pedestrian injury severity with geographically and temporally weighted regression model in Hong Kong

Xuecai Xu et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Built Environment Features and Pedestrian Accidents: An Italian Retrospective Study

Tanja Congiu et al.

SUSTAINABILITY (2019)

Add to Collection

Article Public, Environmental & Occupational Health

The built environment and active transportation safety in children and youth: a study protocol

Brent E. Hagel et al.

BMC PUBLIC HEALTH (2019)

Add to Collection

Article Physics, Multidisciplinary

Modeling and simulating the pedestrian flow in a training school classroom during the pickup period

Tie-Qiao Tang et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)

Add to Collection

Article Green & Sustainable Science & Technology

Investigating the Risk Factors Associated with the Severity of the Pedestrians Injured on Spanish Crosstown Roads

Natalia Casado-Sanz et al.

SUSTAINABILITY (2019)

Add to Collection

Article Environmental Studies

The hidden side of the entropy-based land-use mix index: Clarifying the relationship between pedestrian volume and land-use mix

Ha Na Im et al.

URBAN STUDIES (2019)

Add to Collection

Article Ergonomics

Estimating the occurrence of traffic accidents near school locations: A case study from Valencia (Spain) including several approaches

Alvaro Briz-Redon et al.

ACCIDENT ANALYSIS AND PREVENTION (2019)

Add to Collection

Article Public, Environmental & Occupational Health

Motor vehicle accident is a risk factor for traumatic head injury among children in Abuja: analysis of the first trauma registry in Nigeria

Abdul Rahman Shour et al.

PAN AFRICAN MEDICAL JOURNAL (2019)

Add to Collection

Article Ergonomics

The influence of shoulder characteristics on the safety level of two-lane roads: A case-study

Victoria Gitelman et al.

ACCIDENT ANALYSIS AND PREVENTION (2019)

Add to Collection

Article Ergonomics

Drivers with child passengers: distracted but cautious?

Ida Maasalo et al.

ACCIDENT ANALYSIS AND PREVENTION (2019)

Add to Collection

Article Ergonomics

Driver and road characteristics associated with child pedestrian injuries

Liraz Fridman et al.

ACCIDENT ANALYSIS AND PREVENTION (2019)

Add to Collection

Article Multidisciplinary Sciences

Spatiotemporal characteristics of elderly population's traffic accidents in Seoul using space-time cube and space-time kernel density estimation

Youngok Kang et al.

PLOS ONE (2018)

Add to Collection

Article Medicine, General & Internal

The Major Causes of Death in Children and Adolescents in the United States

Rebecca M. Cunningham et al.

NEW ENGLAND JOURNAL OF MEDICINE (2018)

Add to Collection

Article Environmental Sciences

Influence Factors on Injury Severity of Traffic Accidents and Differences in Urban Functional Zones: The Empirical Analysis of Beijing

Zhiyuan Sun et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2018)

Add to Collection

Article Transportation

Associating pedestrian crashes with demographic and socioeconomic factors

Deo Chimba et al.

CASE STUDIES ON TRANSPORT POLICY (2018)

Add to Collection

Article Development Studies

Development of a cellular automata model using open source technologies for monitoring urbanisation in the global south: The case of Maputo, Mozambique

Jamal Jokar Arsanjani et al.

HABITAT INTERNATIONAL (2018)

Add to Collection

Article Public, Environmental & Occupational Health

Neighborhood Influences on Vehicle-Pedestrian Crash Severity

Alireza Toran Pour et al.

JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE (2017)

Add to Collection

Article Computer Science, Information Systems

Monitoring and Modeling of Spatiotemporal Urban Expansion and Land-Use/Land-Cover Change Using Integrated Markov Chain Cellular Automata Model

Bhagawat Rimal et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2017)

Add to Collection

Article Public, Environmental & Occupational Health

Social inequalities in child pedestrian traffic injuries: Differences in neighborhood built environments near schools in Austin, TX, USA

Jinuk Hwang et al.

JOURNAL OF TRANSPORT & HEALTH (2017)

Add to Collection

Article Public, Environmental & Occupational Health

Environmental risk factors contributing to traffic accidents in children: a case-control study

Ensiyeh Jamshidi et al.

INTERNATIONAL JOURNAL OF INJURY CONTROL AND SAFETY PROMOTION (2017)

Add to Collection

Article Ergonomics

School environments and social risk factors for child pedestrian-motor vehicle collisions: A case-control study

Linda Rothman et al.

ACCIDENT ANALYSIS AND PREVENTION (2017)

Add to Collection

Article Chemistry, Analytical

Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm

Fereydoun Naghibi et al.

SENSORS (2016)

Add to Collection

Article Geography

Influence of built environment on pedestrian crashes: A network-based GIS analysis

Dajun Dai et al.

APPLIED GEOGRAPHY (2016)

Add to Collection

Review Orthopedics

Spatial Factors Affecting the Frequency of Pedestrian Traffic Crashes: A Systematic Review

Ali Moradi et al.

ARCHIVES OF TRAUMA RESEARCH (2016)

Add to Collection

Article Environmental Sciences

Urban Growth Simulation of Atakum (Samsun, Turkey) Using Cellular Automata-Markov Chain and Multi-Layer Perceptron-Markov Chain Models

Derya Ozturk

REMOTE SENSING (2015)

Add to Collection

Article Engineering, Environmental

Predicting Spatial and Decadal LULC Changes Through Cellular Automata Markov Chain Models Using Earth Observation Datasets and Geo-information

Sudhir Kumar Singh et al.

ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL (2015)

Add to Collection

Article Medical Laboratory Technology

Understanding logistic regression analysis

Sandro Sperandei

BIOCHEMIA MEDICA (2014)

Add to Collection

Article Ecology

Modeling urban land use change by the integration of cellular automaton and Markov model

DongJie Guan et al.

ECOLOGICAL MODELLING (2011)

Add to Collection

Article Ergonomics

The risk of pedestrian injury and fatality in collisions with motor vehicles, a social ecological study of state routes and city streets in King County, Washington

Anne Vernez Moudon et al.

ACCIDENT ANALYSIS AND PREVENTION (2011)

Add to Collection

Article Public, Environmental & Occupational Health

Speed Kills: The Complex Links Between Transport, Lack of Time and Urban Health

Paul Joseph Tranter

JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE (2010)

Add to Collection

Article Public, Environmental & Occupational Health

The Relationship of Pedestrian Injuries to Socioeconomic Characteristics in a Large Southern California County

Bharath Chakravarthy et al.

TRAFFIC INJURY PREVENTION (2010)

Add to Collection

Article Ergonomics

Evaluating pedestrian crashes in areas with high low-income or minority populations

Caitlin D. Cottrill et al.

ACCIDENT ANALYSIS AND PREVENTION (2010)

Add to Collection

Article Environmental Sciences

Effect of Canal on Land Use/Land Cover using Remote Sensing and GIS

S. Mukherjee et al.

JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2009)

Add to Collection

Article Environmental Studies

Severity of injury resulting from pedestrian-vehicle crashes: What can we learn from examining the built environment?

Kelly J. Clifton et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2009)

Add to Collection

Article Ergonomics

New methods to identify and rank high pedestrian crash zones: An illustration

Srinivas S. Pulugurtha et al.

ACCIDENT ANALYSIS AND PREVENTION (2007)

Add to Collection

Article Economics

Accidents will happen? Unintentional childhood injuries and the effects of child care regulations

J Currie et al.

JOURNAL OF HEALTH ECONOMICS (2004)

Add to Collection

© Peeref 2019-2024. All rights reserved.