Cyclist casualty severity at roundabouts – To what extent do the geometric characteristics of roundabouts play a part?

Akgün, Nurten; Dissanayake, Dilum; Thorpe, Neil; Bell, MC

doi:10.1016/j.jsr.2018.09.004

Cited by 17 publications

(20 citation statements)

References 17 publications

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“…As a result, the use of the two proposed models is appropriate. Furthermore, it should be noted that ordinal regression models have been developed for the estimation of the perceived level of service (LOS) for pedestrian facilities [68,69]. Alongside, ordinal regression has been used to reveal the factors for the adoption of active modes of transport (walking, cycling) [70] as well as for the service quality' analysis of coach terminals [71].…”

Section: Methodsmentioning

confidence: 99%

“…Regions have a significant influence on human behavior in and perceptions of traffic, and the results of a study may not be valid for different regions [68]. For instance, road users in Sicily have some characteristics such as a high amount of private car use and less use of public transport and micromobility that may not be similar to the characteristics of road users in other cities.…”

Section: Limitations and Recommendations For Future Studiesmentioning

confidence: 99%

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The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

et al. 2020

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The COVID-19 pandemic has resulted in unprecedented measures changing travel habits in many countries. Many users have started to prefer traveling by private cars, which is against the sustainability policies of the European cities. The necessity of gaining a deeper understanding of road users’ travel habit changes, their feelings on public transport use, and their perceptions of using sustainable urban mobility modes has emerged for future transport planning. Considering these facts, the study in this paper aimed to investigate the influence of the COVID-19 pandemic on road users’ perceptions, needs, and use of sustainable travel modes (i.e., public transport, walking, and cycling). An online survey was carried out during the period from March to May 2020 in the case study area, Sicily of Southern Italy. Regarding the population of the case study, the survey was representative, with 431 individuals. The survey included variables, namely gender, age, city of residence, private car ownership, walking and cycling frequency before and during the pandemic, public transport use frequency for leisure activities before and during the pandemic, need for remote working, and the stress and anxiety perception of using public transport during the pandemic. The analysis started with descriptive statistics and it was followed by correlation analysis in order to explore the characteristics of the dataset and relationship between variables. It was found that these were not statistically significantly correlated at a 95% confidence level. An ordinal regression model was applied for determining the predictions. The results suggested that women were less likely to walk during the pandemic than men. Participants were more likely to resume remote work even after the second phase in order to reduce their daily travel needs and keep their isolation. Participants have expressed a positive opinion on the use of micromobility during pandemic situations. These results can be considered as a basis for sustainable urban planning and a guide for decision-makers who aim to encourage the use of public transport, walking, cycling, and micromobility.

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Section: Methodsmentioning

confidence: 99%

Section: Limitations and Recommendations For Future Studiesmentioning

confidence: 99%

The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

et al. 2020

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“…Regarding the gap in the state-of-the-art review [17,19], it was aimed to explore the relationship between sociodemographic characteristics (i.e., gender and age) and public opinion on electric scooters. Since these variables were categorical, chi-square (χ 2 ) test of independence was applied.…”

Section: Chi-square Test Of Independence Between Sociodemographic Chamentioning

confidence: 99%

“…The similar trend was explored for using shared PMV services [21]. It was stated that unsatisfied comfort level and less safety on urban traffic had influenced the gender balance in usage rates [17]. Besides, one important factor behind the non-homogeneous distribution was the relationship between gender and social expectations, i.e., to manage activities (such as household chores, children's schedules, shopping, and similar daily tasks) that were more difficult to be managed on a PMV [22].…”

Section: Introductionmentioning

confidence: 98%

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Exploring Public Opinion on Personal Mobility Vehicle Use: A Case Study in Palermo, Italy

et al. 2020

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The Sustainable Urban Mobility Planning (SUMP) process deals with barriers to improve accessibility and quality of life in urban mobility. Public opinion is highly essential for this process because it presents the real needs of road users. This paper illustrates the influence of public opinion on using Private Mobility Vehicle (PMV) in urban. A survey was carried out with 400 participants in Palermo, Italy. The results suggested that there was heterogeneity in gender and age groups in subcategories which represented people who use, do not use, and completely reject, using PMVs in urban. In addition, it was explored that there was a statistically significant relationship at 95% confidence level between sociodemographic characteristics (gender and age groups) and public opinion on PMV using. Employment status was found as an important parameter in transport planning. It was also showed that there was an inconsistency between local and national results. The results suggested that sociodemographic characteristics and public opinion should be investigated in further studies. In addition, a participatory planning process should be carried out to monitor for reliable evaluation in urban transport planning.

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Effectiveness of road safety interventions: An evidence and gap map

Goel,

Tiwari,

Varghese

et al. 2024

Campbell Systematic Reviews

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BackgroundRoad Traffic injuries (RTI) are among the top ten leading causes of death in the world resulting in 1.35 million deaths every year, about 93% of which occur in low‐ and middle‐income countries (LMICs). Despite several global resolutions to reduce traffic injuries, they have continued to grow in many countries. Many high‐income countries have successfully reduced RTI by using a public health approach and implementing evidence‐based interventions. As many LMICs develop their highway infrastructure, adopting a similar scientific approach towards road safety is crucial. The evidence also needs to be evaluated to assess external validity because measures that have worked in high‐income countries may not translate equally well to other contexts. An evidence gap map for RTI is the first step towards understanding what evidence is available, from where, and the key gaps in knowledge.ObjectivesThe objective of this evidence gap map (EGM) is to identify existing evidence from all effectiveness studies and systematic reviews related to road safety interventions. In addition, the EGM identifies gaps in evidence where new primary studies and systematic reviews could add value. This will help direct future research and discussions based on systematic evidence towards the approaches and interventions which are most effective in the road safety sector. This could enable the generation of evidence for informing policy at global, regional or national levels.Search MethodsThe EGM includes systematic reviews and impact evaluations assessing the effect of interventions for RTI reported in academic databases, organization websites, and grey literature sources. The studies were searched up to December 2019.Selection CriteriaThe interventions were divided into five broad categories: (a) human factors (e.g., enforcement or road user education), (b) road design, infrastructure and traffic control, (c) legal and institutional framework, (d) post‐crash pre‐hospital care, and (e) vehicle factors (except car design for occupant protection) and protective devices. Included studies reported two primary outcomes: fatal crashes and non‐fatal injury crashes; and four intermediate outcomes: change in use of seat belts, change in use of helmets, change in speed, and change in alcohol/drug use. Studies were excluded if they did not report injury or fatality as one of the outcomes.Data Collection and AnalysisThe EGM is presented in the form of a matrix with two primary dimensions: interventions (rows) and outcomes (columns). Additional dimensions are country income groups, region, quality level for systematic reviews, type of study design used (e.g., case‐control), type of road user studied (e.g., pedestrian, cyclists), age groups, and road type. The EGM is available online where the matrix of interventions and outcomes can be filtered by one or more dimensions. The webpage includes a bibliography of the selected studies and titles and abstracts available for preview. Quality appraisal for systematic reviews was conducted using a critical appraisal tool for systematic reviews, AMSTAR 2.Main ResultsThe EGM identified 1859 studies of which 322 were systematic reviews, 7 were protocol studies and 1530 were impact evaluations. Some studies included more than one intervention, outcome, study method, or study region. The studies were distributed among intervention categories as: human factors (n = 771), road design, infrastructure and traffic control (n = 661), legal and institutional framework (n = 424), post‐crash pre‐hospital care (n = 118) and vehicle factors and protective devices (n = 111). Fatal crashes as outcomes were reported in 1414 records and non‐fatal injury crashes in 1252 records. Among the four intermediate outcomes, speed was most commonly reported (n = 298) followed by alcohol (n = 206), use of seatbelts (n = 167), and use of helmets (n = 66). Ninety‐six percent of the studies were reported from high‐income countries (HIC), 4.5% from upper‐middle‐income countries, and only 1.4% from lower‐middle and low‐income countries. There were 25 systematic reviews of high quality, 4 of moderate quality, and 293 of low quality.Authors' ConclusionsThe EGM shows that the distribution of available road safety evidence is skewed across the world. A vast majority of the literature is from HICs. In contrast, only a small fraction of the literature reports on the many LMICs that are fast expanding their road infrastructure, experiencing rapid changes in traffic patterns, and witnessing growth in road injuries. This bias in literature explains why many interventions that are of high importance in the context of LMICs remain poorly studied. Besides, many interventions that have been tested only in HICs may not work equally effectively in LMICs. Another important finding was that a large majority of systematic reviews are of low quality. The scarcity of evidence on many important interventions and lack of good quality evidence‐synthesis have significant implications for future road safety research and practice in LMICs. The EGM presented here will help identify priority areas for researchers, while directing practitioners and policy makers towards proven interventions.

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Cyclist casualty severity at roundabouts – To what extent do the geometric characteristics of roundabouts play a part?

Cited by 17 publications

References 17 publications

The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

Exploring Public Opinion on Personal Mobility Vehicle Use: A Case Study in Palermo, Italy

Effectiveness of road safety interventions: An evidence and gap map

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