Hotspots of road traffic crashes in a redeveloping area of Shanghai

To identify high-risk locations (hotspots) of road traffic crashes (RTC) in a redeveloping area of Shanghai, for formulating relevant countermeasures in similar areas. After geocoding the crash locations on electronic map, assessment of spatial clustering of accidents and hotspots spatial densities was conducted following Moran's I method, the kernel density estimation, the Ripley's K-function and the network-based kernel density estimation (NKDE). A total of 21,679 RTC incidents resulting in 24,147 victims were recorded from 2010 to 2012. RTCs tended to occur among male (81.8%) aged 20–49 years old (84.9%) riding buses (60.1%) or electric bikes (16.1%) in working time (15%). The network spatial analysis pinpointed the hotspots of RTC at the street level in the Songjiang new urban area, and more RTCs occurred at road intersections than on road segments. Findings from this research may help the authorities develop efficient programmes to target high-risk locations and specific vulnerable populations.     

Associations of traffic safety attitudes and ticket fixing behaviours with the crash history of Pakistani drivers

The study assessed whether traffic safety attitudes and ticket fixing behaviours were associated with the crash history. A total of 4018 male drivers from Lahore city participated in this cross sectional study. Most were aged 18–30 years (58.7%, n = 2362), 71.9% (n = 2887) received a traffic ticket, 66.5% (n = 2672) reported previous traffic ticket fixing and 71.3% (n = 2865) considered crashes as being the will of God. Crash history was reported by 95.4% (n = 3821) of drivers, and 58.2% of them reported being involved in a road traffic crash. The likelihood of reporting a previous crash was higher in those who had received a traffic sign violation ticket [adjusted odds ratio (aOR) = 1.40; 95% confidence interval (95%CI) = 1.15–1.72], were involved in traffic ticket fixing (aOR = 1.28; 95%CI = 1.07–1.53), and considered crashes as will of God (aOR = 1.86; 95% CI = 1.57–2.22). These results suggested the need for improving traffic enforcement monitoring and safety education in Pakistan.     

Laypeople roles at road traffic crash scenes: a systematic review

This study aimed to identify the roles of laypeople at road traffic injuries (RTIs). A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The key words of ‘laypeople’, ‘layman’, ‘layperson’, ‘bystander’, ‘first responder’, ‘lay first responder’, ‘road traffic’, ‘road traffic injury’, ‘crash injury’, ‘crash scene’, ‘emergency’, ‘trauma care’, and ‘prehospital trauma care’ were used in combination with the Boolean operators OR and AND. We did electronic search on Google Scholar, PubMed, ISI Web of Science, CINAHL, Science Direct, Scopus, ProQuest. Based on the reviewed studies, some factors such as cultural conditions, knowledge, relief agencies, and demographic factors affect the interventions of laypeople at the crash scene in functional areas. Regarding the permanent presence of people at the crash scene, the present study can provide an opportunity to reduce different side effects of RTIs imposed on the society.     

The effect of natural and built environmental characteristics on pedestrian-vehicle crash severity in Ghana

Despite the benefits of walking as a means of travelling, walking can be quite hazardous. Pedestrian-vehicle crashes remain a major concern in Ghana as they account for the highest percentage of fatalities. The objective of this study is to determine the effect of both natural and built environmental features on pedestrian-vehicle crash severity in Ghana. The study is based on an extensive pedestrian-vehicle crash dataset extracted from the National Road Traffic Accident Database at the Building and Road Research Institute (BRRI) of the Council for Scientific and Industrial Research (CSIR), Ghana. Using a multinomial logit modelling framework, possible determinants of pedestrian-vehicle crash severity were identified. The study found that fatal crashes are likely to occur during unclear weather conditions, on weekends, at night time where there are no lights, on curved and inclined roads, on untarred roads, at mid-blocks and on wider roads. The developed model and its interpretations will make important contributions to road crash analysis and prevention in Ghana with the possibility of extension to other developing countries. These contributing factors could inform policy makers on road design and operational improvements.     

Bold actions needed to improve civil registration data for road traffic deaths

Abstract

Persisting problems of underreporting and poor quality of road traffic mortality data exist. Bold and sustained actions need to be undertaken by countries to improve civil registration data collection and reporting. Countries need to implement three specific actions to improve civil registration and vital statistics data systems and/or road traffic injury data collection:

• Ensure that civil registration and vital statistics systems produce high-quality cause of death data by working with the health sector to improve medical certification of cause of death and statistical coding in line with the International Classification of Diseases.

• Adopt a consistent definition of a road traffic death for use in police databases, particularly in countries with incomplete civil registration and vital statistics data, where police data are the most reliable source of information

• Link data sources – including civil registration records, police data, health records, insurance data – to improve official road traffic fatality estimates while ensuring the privacy of individual identification.

     

Estimating national road crash fatalities using aggregate data

Injuries and fatalities from road traffic crashes have emerged a major public health challenge in Pakistan. Reliable estimates of road crash fatalities (RCF) of a country, is a vital element needed for identification and control of key risk factors, road-safety improvement efforts and prioritizing national health. Reliability of current annual RCF estimates for Pakistan becomes highly questionable due to serious underreporting. This study aimed to predict annual RCF for Pakistan using data from World Health Organization and International Road Federation sources. An ordinary least square (OLS) regression model that relates fatality rate with different explanatory variables was developed. RCF were predicted for Pakistan for year 2012 and 2013, and results were compared with national police reported estimates. Study results indicated that there is serious underreporting of RCF in Pakistan and immediate measures are needed to improve the existing road crash recording and reporting system at the national and subnational levels.     

Road traffic crashes managed by Rescue 1122 in Lahore,Pakistan

The objective of this retrospective study was to describe demographic characteristics, injury patterns and causes of road traffic crashes (RTCs) managed by Rescue 1122 in Lahore, Pakistan during the period 2005–2010. In total 123,268 RTCs were reported and responded by Rescue 1122 ambulance service during the study period. Of the 132,504 victims of RTCs, there were 67% male and 33% female subjects, and the maximum share (65%) was reported among people aged 16–35 years. Motorcyclists were involved in 45% of crashes, with over-speeding (40%) found to be the major reason of these collisions. Similarly, minor injuries (65%) and fractures (25%) were the most reported outcome of these crashes. It is concluded that data from ambulance services, if appropriately collected, can provide valuable epidemiological information to monitor RTCs in developing countries. However, in Pakistan, the collection of data as well as the registration process needs further improvement.     

Burden,pattern and outcomes of road traffic injuries in a rural district of India

Road traffic injuries (RTIs) are a leading public health problem and the understanding of RTIs in rural India is limited. The present report documents the burden, pattern, characteristics and outcomes of RTIs in a rural district of India using combined data sources: police and hospital. RTIs contributed for 38% of fatal and 39% of non-fatal injuries with an annual mortality rate of 18.1/100,000 population/year. Young males were affected most and two-wheeler users and pedestrians were involved in 45% and 20% of fatal crashes, respectively. Nearly half (51%) of fatal RTIs occurred on national highways of the district; 46% died immediately at the site. Among those hospitalised, 20% were under the influence of alcohol while use of helmets and seat belts was <5%. Trauma care was deficient in the district leading to greater number of referrals. Road safety should be given high importance in rural India with a focus on safe roads, safe vehicles and safe people along with trauma care.     

Clustering-based classification of road traffic accidents using hierarchical clustering and artificial neural networks

Artificial neural networks (ANNs) have been widely used in predicting the severity of road traffic crashes. All available information about previously occurred accidents is typically used for building a single prediction model (i.e., classifier). Too little attention has been paid to the differences between these accidents, leading, in most cases, to build less accurate predictors. Hierarchical clustering is a well-known clustering method that seeks to group data by creating a hierarchy of clusters. Using hierarchical clustering and ANNs, a clustering-based classification approach for predicting the injury severity of road traffic accidents was proposed. About 6000 road accidents occurred over a six-year period from 2008 to 2013 in Abu Dhabi were used throughout this study. In order to reduce the amount of variation in data, hierarchical clustering was applied on the data set to organize it into six different forms, each with different number of clusters (i.e., clusters from 1 to 6). Two ANN models were subsequently built for each cluster of accidents in each generated form. The first model was built and validated using all accidents (training set), whereas only 66% of the accidents were used to build the second model, and the remaining 34% were used to test it (percentage split). Finally, the weighted average accuracy was computed for each type of models in each from of data. The results show that when testing the models using the training set, clustering prior to classification achieves (11%–16%) more accuracy than without using clustering, while the percentage split achieves (2%–5%) more accuracy. The results also suggest that partitioning the accidents into six clusters achieves the best accuracy if both types of models are taken into account.     

The impact of traffic sign deficit on road traffic accidents in Nigeria

This study assesses the impact of traffic sign deficit on road traffic accidents in Nigeria. The participants were 720 commercial vehicle drivers. While simple random sampling was used to select 6 out of 137 federal highways, stratified random sampling was used to select six categories of commercial vehicle drivers. The study used qual-dominant mixed methods approach comprising key informant interviews; group interviews; field observation; policy appraisal and secondary literature on traffic signs. Result shows that the failure of government to provide and maintain traffic signs in order to guide road users through the numerous accident black spots on the highways is the major cause of road accidents in Nigeria. The study argues that provision and maintenance of traffic signs present opportunity to promoting safety on the highways and achieving the sustainable development goals.     

A qualitative approach to the intangible cost of road traffic injuries

The consequences of fatal and non-fatal road traffic injuries (RTI) at the personal and household levels were analysed using qualitative interviews of 12 injured and of 12 relatives of people who died for this reason. Collisions change physical and mental health both of the injured and of their relatives. This leads to changes in daily activities and even to the redefinition of future life. RTI also changes the way people see and act in life, becoming an experience that teaches them. Survivors commonly transmit a road safety message afterwards. Changes in family life were evident (in extreme cases family's composition also changed), affecting intra-familial relationships. Associated unexpected and unplanned expenditures and loss of income have consequences in the short, medium and long term that unbalance household's economies and immerse people into a constant stress. Individuals and family's future plans are occasionally condition to whether they have or not debts. Household dependence in economic terms was sometimes observed, as well as uncertainty about future life and household's sustainability. Sometimes, households change and adapt their life to what they now are able to afford, having important repercussions in vital spheres.     

An Evaluation of Marketing Practices in Banks in Ghana

ABSTRACT

This study ascertains the extent to which the marketing concept has been adopted and implemented by banks in Ghana. It addresses a gap in an area that is currently under researched and provides insight into the banking services industry in a developing country. All sixteen licensed banks in Ghana were included in this study. The data was collected through in-depth interviews and self completed questionnaires. The results suggest that marketing departments in the banks are organised mainly within headquarters and headed by marketing and advertising/public relations managers. The marketing activities in the banks are associated with the stage where marketing orientation is perceived as advertising and public relations. There is a partial lack of marketing culture in the banks. The total and formal acceptance and understanding of the marketing concept is at an embryonic stage in the evolutionary process.     

Identifying the factors behind fatal and non-fatal road crashes: a case study of Lahore,Pakistan

ABSTRACT

The study identifies the factors behind fatal and non-fatal road crashes in Lahore, Pakistan, by investigating 461 reported cases to Traffic Police Lahore that occurred during January–November 2014. Road crashes are categorized into fatal and non-fatal crashes and, because of the binary nature of the dependent variable, logistic regression is used to identify the factors behind these crashes. As a follow-up, discriminant analysis is employed to classify the factors related to fatal and non-fatal crashes. The logistic regression results reveal that females are at higher risk of fatalities than male drivers. Among vehicle types, rickshaws and cars are more involved in fatal accidents because both are growing at large on roads. Long trucks and trailers are also involved in fatal accidents, mainly because of their huge size and drivers’ risky driving behaviours. It is also noted that risk of fatalities is higher in case where two vehicles bumped each other. Speeding and overloading are the common behaviours resulting in fatal crashes. Better urban transport systems and strict compliance with traffic rules and regulations may improve road safety in Pakistan.     

Seat-belt use still low in Kuwait: self-reported driving behaviours among adult drivers

Kuwait mandated seat-belt use by drivers in 1976 and by front seat passengers in 1994. The study objectives were to identify and estimate current factors associated with seat-belt use and levels of potentially unsafe driving behaviours in Kuwait. In 2010, 741 adults were surveyed regarding driving habits and history. Only 41.6% of drivers reported always using a seat belt. Front seat passenger belt use was more common (30.5%) than rear seat belt use (6.5%). Distracted driving behaviours were common, including mobile phone use (‘always’ or ‘almost always’: 51.1%) and texting/SMS (32.4%). Logistic regression indicated that drivers who were young (18–19 years), male, Kuwaiti nationals or non-Kuwaiti Arabs, drove over the speed limit, had traffic violation tickets or >1 car crashes in the last year, were less likely to use seat belts. Targeted initiatives to increase public awareness and to enforce car-safety legislation, including use of seat belts, are necessary to decrease the health burden of car crashes in Kuwait.     

Opportunities to reduce road traffic injury: new insights from the study of urban areas

Abstract

Over the past four decades considerable efforts have been taken to mitigate the growing burden of road injury. With increasing urbanisation along with global mobility that demands not only safe but equitable, efficient and clean (reduced carbon footprint) transport, the responses to dealing with the burgeoning road traffic injury in low- and middle-income countries has become increasingly complex. In this paper, we apply unique methods to identify important strategies that could be implemented to reduce road traffic injury in the Asia-Pacific region; a region comprising large middle-income countries (China and India) that are currently in the throes of rapid motorisation. Using a convolutional neural network approach, we clustered countries containing a total of 1632 cities from around the world into groups based on urban characteristics related to road and public transport infrastructure. We then analysed 20 countries (containing 689 cities) from the Asia-Pacific region and assessed the global burden of disease attributed to road traffic injury and these various urban characteristics. This study demonstrates the utility of employing image recognition methods to discover new insights that afford urban and transport planning opportunities to mitigate road traffic injury at a regional and global scale.     

Prioritisation of road traffic injury interventions: results of a participative research with stakeholders in Mexico

The objective of this study is to use a qualitative approach to prioritise road traffic injury (RTI) interventions for the city of Cuernavaca in Mexico. Seven focus group discussions and two nominal groups were held with participants representing different road users and social groups. All the focus group sessions were recorded and video filmed. Processing and analysis of the information gathered was done using qualitative methods. The problem of RTIs was well recognised by members of the local community, represented by participants in this study. The participants showed knowledge of the causes and related urban development dynamics. Participants identified possible interventions, and even rated them. The participatory approach utilised generated helpful insights and it enabled the researchers to identify key local actors and issues, for example, concerns of different road users, perception of certain factors and actors as causes of RTIs, and attitudes and behaviour within a specific physical environment. A prioritised list for 18 different interventions was developed. The first one will be implemented to prevent RTIs in the youth population. Understanding the social context to analyse the problem and possible solutions as seen by the community is important when analysing public health problems because it informs decision making when developing and implementing interventions.