Investigation of road infrastructure and traffic density attributes at high-risk locations for motorcycle-related injuries using multiple correspondence and cluster analysis in urban Tanzania

Francis, Filbert; Moshiro, Candida; Yngve, Berg Hans; Hasselberg, Marie

doi:10.1080/17457300.2021.1930060

Cited by 10 publications

(7 citation statements)

References 48 publications

(53 reference statements)

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“…A safer road and infrastructure have an intrinsic effect on the crash risk because they shape how users perceive their environment [[ 32 ]. According to one study, a lack of road network and infrastructure, particularly in LMICs, has increased burden of road traffic injuries [[ 33 ]. According to Azami et al (2019), scientific barriers such as a lack of evidence-based practice, insufficient knowledge transfer and benchmarking, and knowledge production are significant impediments to road traffic injury reduction in Iran [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

Setting research priorities to achieve long-term national road safety goals in Iran

Sadeghi‐Bazargani

Razzaghi

Atabak³

et al. 2022

J Glob Health

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Background Road traffic crashes (RTCs) and its associated injuries are one of the most important public health problems in the world. In Iran, RTCs rank second in terms of mortality. To address this issue, there is a need for research-based interventions. Prioritizing researches using a variety of approaches and frameworks to determine the most effective interventions is a key nodal point in the RTCs' research policy planning cycle. Thus, this study aims to generate and prioritize research questions in the field of RTCs in Iran. Methods By adapting the Child Health and Nutrition Research Initiative (CHNRI) method, this study engaged 25 prominent Iranian academic leaders having role in setting Iran’s long-term road safety goals, a group of research funders, and policymakers. The experts' proposed research questions were independently scored on a set of criteria: feasibility, impact on health, impact on the economy, capacity building, and equity. Following the prioritization of Research Questions (RQs), they were all classified using the 5 Pillar frameworks. Results In total, 145 Research Questions were systematically scored by experts against five criteria. Iran's top 20 road traffic safety priorities were established. The RQs related to “road safety management” and “road and infrastructure” achieved a high frequency. Conclusions The top 20 research questions in the area of RTCs in Iran were determined by experts. The majority of these RQs were related to “road safety management”. The results of this study may contribute to the optimal use of resources in achieving long-term goals in the prevention and control of road traffic crashes and its related injuries. Considering these RQs as research investment options will improve the current status of Road Traffic Injuries (RTIs) at a national level and further advance toward compliance with international goals. If these research priorities are addressed, and their findings are implemented, we can anticipate a significant reduction in the number of crashes, injuries, and deaths.

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Section: Discussionmentioning

confidence: 99%

Setting research priorities to achieve long-term national road safety goals in Iran

Sadeghi‐Bazargani

Razzaghi

Atabak³

et al. 2022

J Glob Health

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“…[24] stated that motorcycles' users are more affected on road condition than users of other mode of transport. Accordingly, more studies are needed to focus on the motorcycle accidents and their reasons [10]. This may help to improve new strategies to decrease these highly number of accidents.…”

Section: Motorcycles' Accidents In Developing Countriesmentioning

confidence: 99%

Improving the road network of Baghdad City to increase the safety of motorcyclists

Al-Mumaiz

Mohamedmeki

2022

PEN

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The increasing of population in Baghdad city with limited choices of transportation enforces people to choose motorcycle mode. This mode is preferable due to its simplicity and economically comparing with other modes of transportation, especially for low-income societies. The problem of this mode is the high accidents percentages. Accordingly, the city of Baghdad ` a challenge with increasing the motorcyclists in recent years. This problem is magnifying due to users who are not following traffic instructions. Besides that, the current road network did not get any modifications to handle this type of transportation. The absence of data related to the number of users and their characteristics decreases the problem's solution. This study is a trying to figure out this problem by discovering the motorcyclist characteristics through ` a questionnaire to about 500 users with different levels of educations and ages. The study revealed that the accidents are relatively high for most motorcyclists regardless their characteristics. The study recommended that the improvement of roads network should be started in the east part of the city where people are concentrated. The assessment of adding a lane for motorcyclists on a multi-lane roadway should be made before improving the whole city network.

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“…Traditionally, motorcyclists are perceived as one of the most vulnerable groups of road users. Therefore, previous research on motorcyclists' traffic accidents has mainly focused on the socio‐demographic (Borhan et al, 2018; Hong et al, 2020), behavioural (Chang et al, 2019a, b; Nunn, 2011; Sakashita et al, 2014; Truong et al, 2019), infrastructural (Francis et al, 2021; Jimenez et al, 2015), environmental (Manan et al, 2018) and legislative aspects (Crompton et al, 2011; MacLeod et al, 2010) of this phenomenon. An overview of motorcycle accident risk factors is provided, for example, in a comprehensive study by Vlahogianni et al (2012).…”

Section: Introductionmentioning

confidence: 99%

Identification of motorcycle accidents hotspots in the Czech Republic and their conditional factors: The use of KDE+ and two‐step cluster analysis

Kraft

Marada

Petříček

et al. 2022

Geographical Journal

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In recent decades, there has been a significant increase in the number of newly registered motorcycles worldwide. However, there is not only an increase in the number of motorcycles in traffic but also an increase in the number of conflicts between motorcyclists and the surrounding environment. A relatively significant research gap can be identified in the relationship between spatial factors and motorcycle accident rates. This paper analyses the spatiotemporal patterns of motorcycle accidents and studies their underlying factors. The KDE+ method (an extension of the kernel density estimation method) is used to identify concentrations of motorcycle accident key hotspots. To study the underlying traffic accident determinants, a two‐step cluster analysis is used. The analysis is based on the database of motorcycle accidents in the Czech Republic from 1 January 2016 to 31 December 2020. The paper achieves a few main findings. By applying the KDE+ method, the most dangerous sections of the road network in the Czech Republic were identified, where a significant accumulation of motorcycle accidents occur. Motorcycle accidents are highly seasonal. Motorcycle accidents tend to accumulate in the afternoon, especially during the summer months. Concerning the frequency of accidents and the collective risk index, urban traffic, that is the traffic density, is an important cause of motorcycle accidents, along with the winter period with rather unfavourable weather conditions, and especially the directional conditions—curves and intersections—are among the hazardous sections.

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Investigation of road infrastructure and traffic density attributes at high-risk locations for motorcycle-related injuries using multiple correspondence and cluster analysis in urban Tanzania

Cited by 10 publications

References 48 publications

Setting research priorities to achieve long-term national road safety goals in Iran

Setting research priorities to achieve long-term national road safety goals in Iran

Improving the road network of Baghdad City to increase the safety of motorcyclists

Identification of motorcycle accidents hotspots in the Czech Republic and their conditional factors: The use of KDE+ and two‐step cluster analysis

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