Fifty Years of Accident Analysis &amp; Prevention: A Bibliometric and Scientometric Overview

Zou, Xin; Vu, Hai L.; Huang, Helai

doi:10.1016/j.aap.2020.105568

Cited by 55 publications

(33 citation statements)

References 294 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There seems to be an inconsistency between the annual scientific production of articles and the appearance of the keyword traffic safety. Figure 4 suggests that the number of scientific articles related to traffic safety continues to increase, which is well in line with the bibliometric analysis done by Zou et al (2020). However, in Figure 5, it seems that the traffic safety aspect does not appear in the top keywords anymore.…”

Section: Web Of Science Search Analysissupporting

confidence: 79%

The Evolution of Smart and Intelligent Mobility – A Semantic and Conceptual Analysis

Leviäkangas¹,

Ahonen²

2021

IJTech

View full text Add to dashboard Cite

Smart or intelligent mobility has been the founding concept to address new technologies needed to develop future transport systems. The development of intelligent mobility has traditionally been much driven by the automotive industry. Research in this domain has traditionally focused on providing safe, comfortable, and affordable mobility to drivers and passengers. As the awareness of the effects of emissions released to the environment by transportation has been increasingly acknowledged, transport systems have since then expected to be "intelligent" also in terms of sustainability. Furthermore, social issues, such as transport poverty and social exclusion, have emerged as key topics. By performing a bibliometric analysis of scientific literature, reviewing inter-governmental policy documents, and analyzing national (Finland) government programs, this paper shows how there has been a shift of thought at conceptual and semantic levels regarding what we perceive as smart mobility. The findings quite clearly suggest that the policy debate as well as research topics have taken the shift first from traffic safety toward technology orientation, and thereafter further toward a more holistic perception of sustainability. "Inclusiveness" appears to be the latest theme in the transport policy debate at the European Union level, although research on it is still marginal.

show abstract

Section: Web Of Science Search Analysissupporting

confidence: 79%

The Evolution of Smart and Intelligent Mobility – A Semantic and Conceptual Analysis

Leviäkangas¹,

Ahonen²

2021

IJTech

View full text Add to dashboard Cite

show abstract

“…Bibliometrics is a statistical and mathematical method to analyse the development of literature in a given field [ 4 ], helping researchers to understand current research trends, their distribution and core themes [ 5 ]. Mapping knowledge domains is a quantitative and visual research method that reveals knowledge about the structures of and connections and interactions between activities [ 4 , 6 ]. We used science mapping tools for the mapping analysis.…”

Section: Methodology and Datamentioning

confidence: 99%

The Public Health Governance of the COVID-19 Pandemic: A Bibliometric Analysis

Yang

2022

Healthcare

View full text Add to dashboard Cite

The 2019 global outbreak of COVID-19 has had a huge impact on public health governance systems around the world. In response, numerous scholars have conducted research on public health governance in the context of the COVID-19 pandemic. This paper provides a bibliometric analysis of 1437 documents retrieved from the Web of Science (WoS) core collection database, with 49,695 references. It analyses the research directions, countries of publications, core journals, leading authors and institutions and important publications. The paper also summarises research trends by analysing the co-occurrence of keywords, frequently cited documents and co-cited references. It summarises the global responses to COVID-19, including public health interventions and a range of supporting policies based on the features and impacts of the COVID-19 pandemic. The paper provides comprehensive literary support and clear lines of research for future studies on the governance or regulation of public health emergencies.

show abstract

“…Keywords often involve subjects such as research interests, research fields, research objects, research topics, and research methods, which play important roles in revealing the research trends of studies. Keyword co-occurrence analysis (KCA) is a common research method in scientometrics [ 43 ]. Hence, it was used to generate the keyword co-occurrence network for helmet studies, as shown in Figure 2 d. With reference to the characteristics and status of safety helmet studies, the keyword network can be divided into five clusters, namely, cluster 1 (red cluster), cluster 2 (purple cluster), cluster 3 (green cluster), cluster 4 (yellow cluster), and cluster 5 (blue cluster).…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Helmet-Wearing Policy on E-Bike Safety Riding Behavior: A Bivariate Ordered Probit Analysis in Ningbo, China

Zhou

Tao

Dong

et al. 2022

IJERPH

View full text Add to dashboard Cite

At present, Chinese authorities are launching a campaign to convince riders of electric bicycles (e-bikes) and scooters to wear helmets. To explore the effectiveness of this new helmet policy on e-bike cycling behavior and improve existing e-bike management, this study investigates the related statistical distribution characteristics, such as demographic information, travel information, cycling behavior information and riders’ subjective attitude information. The behavioral data of 1048 e-bike riders related to helmet policy were collected by a questionnaire survey in Ningbo, China. A bivariate ordered probit (BOP) model was employed to account for the unobserved heterogeneity. The marginal effects of contributory factors were calculated to quantify their impacts, and the results show that the BOP model can explain the common unobserved features in the helmet policy and cycling behavior of e-bike riders, and that good safety habits stem from long-term safety education and training. The BOP model results show that whether wearing a helmet, using an e-bike after 19:00, and sunny days are factors that affect the helmet wearing rate. Helmet wearing, evenings during rush hour, and picking up children are some of the factors that affect e-bike accident rates. Furthermore, there is a remarkable negative correlation between the helmet wearing rate and e-bike accident rate. Based on these results, some interventions are discussed to increase the helmet usage of e-bike riders in Ningbo, China.

show abstract

Fifty Years of Accident Analysis & Prevention: A Bibliometric and Scientometric Overview

Cited by 55 publications

References 294 publications

The Evolution of Smart and Intelligent Mobility – A Semantic and Conceptual Analysis

The Evolution of Smart and Intelligent Mobility – A Semantic and Conceptual Analysis

The Public Health Governance of the COVID-19 Pandemic: A Bibliometric Analysis

Impact of Helmet-Wearing Policy on E-Bike Safety Riding Behavior: A Bivariate Ordered Probit Analysis in Ningbo, China

Contact Info

Product

Resources

About