Mapping the knowledge domain of road safety studies: A scientometric analysis

被引:31
作者
Zou, Xin [1 ]
Vu, Hai L. [1 ]
机构
[1] Monash Univ, Inst Transport Studies, Clayton, Vic 3800, Australia
关键词
Road safety; Scientometrics; Co-citation analysis; Citation network; VOSviewer; CitNetExplorer; DRIVER BEHAVIOR QUESTIONNAIRE; MOTOR-VEHICLE CRASH; TRAFFIC ACCIDENT OCCURRENCE; CELL PHONE CONVERSATIONS; INJURY SEVERITY SCORE; ACUTE STRESS DISORDER; DRIVING ANGER; INTELLECTUAL STRUCTURE; STATISTICAL-ANALYSIS; GEOMETRIC DESIGN;
D O I
10.1016/j.aap.2019.07.019
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
As a way of obtaining a visual expression of knowledge, mapping knowledge domain (MICR) provides a vision-based analytic approach to scientometric analysis which can be used to reveal an academic community, the structure of its networks, and the dynamic development of a discipline. This study, based on the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) articles on road safety, employs the bibliometric tools VOSviewer and CitNetExplorer to create maps of author co-citation, document co-citation, citation networks, analyze the core authors and classic documents supporting road safety studies and show the citation context and development of such studies. It shows that road safety studies clustered mainly into four groups, whose we will refer to as "effects of driving psychology and behavior on road safety", "causation, frequency and injury severity analysis of road crashes", "epidemiology, assessment and prevention of road traffic injury", and "effects of driver risk factors on driver performance and road safety", respectively. Through our analysis, the core publications and their citation relationships were quickly located and explored, and "crash frequency modeling analysis" has been identified to be the core research topic in road safety studies, with spatial statistical analysis technique emerging as a frontier of this topic.
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页数:13
相关论文
共 174 条
[1]   Exploring the overall and specific crash severity levels at signalized intersections [J].
Abdel-Aty, M ;
Keller, J .
ACCIDENT ANALYSIS AND PREVENTION, 2005, 37 (03) :417-425
[3]   Modeling traffic accident occurrence and involvement [J].
Abdel-Aty, MA ;
Radwan, AE .
ACCIDENT ANALYSIS AND PREVENTION, 2000, 32 (05) :633-642
[4]   Safety evaluation of multilane arterials in Florida [J].
Abdel-Aty, Mohamed ;
Devarasetty, Prem Chand ;
Pande, Anurag .
ACCIDENT ANALYSIS AND PREVENTION, 2009, 41 (04) :777-788
[5]   Spatial analysis of fatal and injury crashes in Pennsylvania [J].
Aguero-Valverde, J ;
Jovanis, PP .
ACCIDENT ANALYSIS AND PREVENTION, 2006, 38 (03) :618-625
[6]   A multivariate spatial crash frequency model for identifying sites with promise based on crash types [J].
Aguero-Valverde, Jonathan ;
Wu, Kun-Feng ;
Donnell, Eric T. .
ACCIDENT ANALYSIS AND PREVENTION, 2016, 87 :8-16
[7]   THE THEORY OF PLANNED BEHAVIOR [J].
AJZEN, I .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211
[8]  
Ajzen I., 1985, UNDERSTANDING ATTITU, P11
[9]   A Bayesian multivariate hierarchical spatial joint model for predicting crash counts by crash type at intersections and segments along corridors [J].
Alarifi, Saif A. ;
Abdel-Aty, Mohamed ;
Lee, Jaeyoung .
ACCIDENT ANALYSIS AND PREVENTION, 2018, 119 :263-273
[10]   A note on modeling vehicle accident frequencies with random-parameters count models [J].
Anastasopoulos, Panagiotis Ch. ;
Mannering, Fred .
ACCIDENT ANALYSIS AND PREVENTION, 2009, 41 (01) :153-159