Errors in accident data, its types, causes and methods of rectification-analysis of the literature-Reference-Cited by-同舟云学术

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Errors in accident data, its types, causes and methods of rectification-analysis of the literature

Published:2019-09 Issue: Volume:130 Page:3-21
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Ahmed Ashar,Sadullah Ahmad Farhan Mohd,Yahya Ahmad Shukri

Funder

Ministry of Higher Education (MOHE) Malaysia

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference104 articles.

1. Investigating the nature and impact of reporting bias in road crash data;Abay;Transp. Res. Part A: Policy Pract.,2015

2. Motorcycle fatalities in Malaysia;Abdul Manan;IATSS Res.,2012

3. Motorcyclistsá road safety related behavior at access points on primary roads in Malaysia—a case study;Abdul Manan;Saf. Sci.,2015

4. Development of a safety performance function for motorcycle accident fatalities on Malaysian primary roads;Abdul Manan;Saf. Sci.,2013

5. Motorcycles entering from access points and merging with traffic on primary roads in Malaysia: behavioral and road environment influence on the occurrence of traffic conflicts;Abdul Manan;Accid. Anal. Prev.,2014

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1. Defining Traffic Conflict in Nonlane-Based Traffic Conditions: An Extreme Value Approach;Journal of Transportation Engineering, Part A: Systems;2024-09

2. Influence of walking accessibility for metro system on pedestrian safety: A multiple membership multilevel model;Analytic Methods in Accident Research;2024-09

3. Investigation of discrepancies in South Carolina traffic collision forms;Transportation Research Interdisciplinary Perspectives;2024-05

4. Hazardous traffic scenarios for motorcyclists in Indonesia: a comprehensive insight from police accident data and self-reports;International Journal of Injury Control and Safety Promotion;2024-04-29

5. Betweenness Centrality Measures as Potential Predictors of Crash Frequency;Transportation in Developing Economies;2024-04-09

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