scholarly journals Vehicle-Pedestrian crashes at Intersections in Dhaka city

2017 ◽  
Vol 11 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Shakil Mohammad Rifaat ◽  
Richard Tay ◽  
Shariar Mohammad Raihan ◽  
Abrar Fahim ◽  
Shah Mostofa Touhidduzzaman
Keyword(s):  
Developed Countries ◽  
Related Factors ◽  
Crash Data ◽  
Road Users ◽  
Safety Research ◽  
Commercial Area ◽  
Vulnerable Road Users ◽  
Pedestrian Crashes ◽  
Waste Deposit ◽  
Pedestrian Collisions

Background: Pedestrians are some of the most vulnerable road users, especially in large congested cities in developing countries. In order to develop appropriate countermeasures to improve safety, research has to be conducted to understand the factors contributing to vehicle-pedestrian collisions. Objective: This study aims to identify the factors contributing to intersection crashes in a developing country context. Method: A Poisson regression model was applied to police reported crash data from the capital of Bangladesh, Dhaka. Results: This study finds that an increase in vehicle traffic and the presence of police officer, footbridge, bus stop, solar panel and waste deposit facility were associated with an increase in the number of vehicle-pedestrian crashes, whereas an increase in pedestrian volume, roads with the same number of inbound and outbound lanes, roads with greater number of lanes, and the presence of traffic signal, commercial area or offices, speed breaker and rail crossing were associated with a reduction in the number of vehicle-pedestrian crashes. Conclusion: While the results of most traffic and engineering factors are consistent with those obtained in previous studies in developed countries, some of the results on human related factors and unusual road furniture are atypical and require more locally targeted countermeasures.

scholarly journals Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries

2021 ◽  
Vol 11 (7) ◽  
pp. 101
Author(s):  
Andrew Paul Morris ◽  
Narelle Haworth ◽  
Ashleigh Filtness ◽  
Daryl-Palma Asongu Nguatem ◽  
Laurie Brown ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
Red Light ◽  
Road User ◽  
Red Light Running ◽  
Crash Data ◽  
Passenger Vehicles ◽  
Road Users ◽  
Vulnerable Road User ◽  
Vulnerable Road Users ◽  
Road Intersections

(1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may have detrimental impacts on other road-users, particularly vulnerable road-users, for a variety of reasons. (2) Crash data were analysed in two countries (Great Britain and Australia) to examine some challenging traffic scenarios that are prevalent in both countries and represent scenarios in which future connected and autonomous vehicles may be challenged in terms of safe manoeuvring. (3) Road intersections are currently very common locations for vulnerable road-user accidents; traffic flows and road-user behaviours at intersections can be unpredictable, with many vehicles behaving inconsistently (e.g., red-light running and failure to stop or give way), and many vulnerable road-users taking unforeseen risks. (4) Conclusions: The challenges of unpredictable vulnerable road-user behaviour at intersections (including road-users violating traffic or safe-crossing signals, or taking other risks) combined with the lack of knowledge of CAV responses to intersection rules, could be problematic. This could be further compounded by changes to nonverbal communication that currently exist between road-users, which could become more challenging once CAVs become more widespread.

scholarly journals Spatial Equity Analysis of Nighttime Pedestrian Safety: Role of Land Use and Alcohol Establishments in Albuquerque, NM

2021 ◽  
pp. 036119812110302
Author(s):  
Benson Long ◽  
Nicholas N. Ferenchak
Keyword(s):  
Land Use ◽  
Past Research ◽  
The United States ◽  
Sociodemographic Factors ◽  
Severe Injury ◽  
Severe Injuries ◽  
Lighting Condition ◽  
Crash Data ◽  
Pedestrian Crashes ◽  
Pedestrian Collisions

The United States experienced a 53% increase in pedestrian fatalities between 2009 and 2018, with 2018 having a 3.4% increase from 2017. Of the 2018 pedestrian fatalities with known lighting conditions, 76% occurred in dark/nighttime conditions, with 50% occurring between 6:00 and 11:59 p.m. Despite past research exploring several contributing characteristics for nighttime pedestrian crashes, there is limited research that investigates the spatial aspects of land use attributes and sociodemographic factors. Have these nighttime pedestrian collisions been concentrated in certain land uses? Could an establishment with the capacity to serve alcohol invoke a greater risk of pedestrian crashes? Does sociodemographic status correlate with clustering for fatal crashes, severe crashes, or both? To better understand the spatial characteristics of the recent increase in pedestrian collisions, we analyzed crash data from Albuquerque, New Mexico for pedestrian fatalities and severe injuries from 2013 to 2018 relative to lighting condition, land use (with a focus on alcohol establishments), and race/ethnicity on the block group level. We used confidence intervals and Getis-Ord Gi* statistics to verify the statistical integrity of the trends. Findings suggested that pedestrian fatality and severe injury rates were higher within a quarter mile of bars at night and in areas with elevated concentrations of minority populations. Pedestrian fatality and severe injury hot spots appeared to have higher percentages of non-white residents, coupled with lower sidewalk coverage and more arterials or collectors.

scholarly journals Management of Speeding Comparing Two Applied Engineering Measures

2013 ◽  
Vol 4 (3) ◽  
pp. 10-14
Author(s):  
Zuhair Ebrahim ◽  
Hamid Nikraz
Keyword(s):  
Harm Minimisation ◽  
Crash Data ◽  
Road Crashes ◽  
Road Users ◽  
Engineering Measures ◽  
Vulnerable Road Users

Abstract The importance of safety comes from the responsibility towards protecting the vulnerable road users, who seem to be the victims in most road crashes. Thus, authorities tend to focus on reducing the travelling speed of the vehicles, whereas some road users may consider the move to interfere with mobility. In this study, a case study in Perth’s two roads was conducted to compare two engineering treatments of speed reductions on these two busy shopping strips. The study aim is to illustrate the effect of using the electronic flashing signs rather than the standard signs in terms of speeding reduction and harm minimisation. Crash data were analysed and supported the safety benefits of the electronic flashing signs. Authorities have measured the reduction of the travelling speeds of vehicles and found it to be encouraging. There are clear, positive safety benefits from the study in terms of engineering and enforcement measures

scholarly journals Inclusive road infrastructure safety management in the settlement: An approach to improving the safety of vulnerable road users

Tehnika ◽  
2020 ◽  
Vol 75 (6) ◽  
pp. 777-781
Author(s):  
Milenko Čabarkapa
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Safety Management ◽  
Developed Countries ◽  
The European Union ◽  
Persons With Disabilities ◽  
Road Infrastructure ◽  
Death Toll ◽  
Road Users ◽  
Vulnerable Road Users

In the last ten years, there has been a stabilization of traffic fatalities on the roads of the world. At the same time, the death toll of persons in the armor of vehicles was reduced, and the death toll of persons outside the armor of vehicles-vulnerable road users continued to grow. The most endangered are motorcyclists, then pedestrians and finally cyclists, both in developed countries of the European Union and in underdeveloped and developing countries. Lagging behind in reducing the fatalities of vulnerable road users requires innovation in research and the creation and implementation of new road safety management policies. In this aspect, inclusive road infrastructure safety management in the settlement can be a paradigm for the introduction and implementation of protection of vulnerable road users, persons with reduced mobility and persons with disabilities, through procedures to control road safety in the settlement, at all stages of the road life cycle: planning, design, construction and exploitation. The content of inclusive road infrastructure safety management in the settlement should include all areas of activity and all elements of the roads of the settlement, the improvement of which can raise the level of traffic safety of all users, so that the roads of the settlement are equally safe for all road users. At the same time, the risk of fatal traffic accidents on the roads of the settlement is indirectly exponentially related to the scope of the content of inclusive road infrastructure safety management in the settlement.

scholarly journals Features of Low-Income and Middle-Income Countries making Road Safety more Challenging

2020 ◽  
Vol 31 (3) ◽  
pp. 79-84
Author(s):  
R.F. Soames Job ◽  
William M Wambulwa
Keyword(s):  
Low Income ◽  
Road Safety ◽  
Cost Effective ◽  
Transit Systems ◽  
Middle Income ◽  
Crash Data ◽  
Middle Income Countries ◽  
Road Users ◽  
Road Crash ◽  
Vulnerable Road Users

Low- and Middle-Income Countries suffer the large majority (93%) of global road crash deaths and face particular challenges in managing this crisis. This paper presents global data and trends revealing underlying features of the problem for LMICs. LMICs are commonly grouped and described together in road safety commentaries, yet appreciation of the substantial differences between LICs and MICs is vital. While global deaths per 100,000 people have stabilized during the UN Decade of Road Safety, the population rate has increased in LICs (by 8.2%), while decreasing in HIC and MIC. LICs have less resources to address road safety and younger populations adding to risk. Wide variations on road safety performance exist within country income groups, with some of this variance occurring systematically between regions. Absolute numbers of deaths are increasing due to increasing population and increasing vehicle fleets in LMICs compared with HICs. The capacity of MICs, and especially LICs, to manage road safety is hampered by poor crash data to guide action as well less available funding and resources to achieve safer road engineering, safer vehicles, and protect the large proportions of vulnerable road users. Road crash deaths and injuries are retarding the economic growth of LMICs and investing road safety is a costeffective means by which LMICs can move towards becoming HICs. Vital opportunities for cost-effective savings of lives and debilitating injuries in LMICs include better management of speed (especially through infrastructure), improving safety infrastructure for pedestrians, increasing seatbelt use, and shifting travel from motorcycles to buses through provision of Bus Rapid Transit systems.

Elderly Pedestrian Fatal Crash-Related Contributing Factors: Applying Empirical Bayes Geometric Mean Method

2019 ◽  
Vol 2673 (8) ◽  
pp. 254-263
Author(s):  
Subasish Das ◽  
Apoorba Bibeka ◽  
Xiaoduan Sun ◽  
Hongmin “Tracy” Zhou ◽  
Mohammad Jalayer
Keyword(s):  
Empirical Bayes ◽  
Reporting System ◽  
Geometric Mean ◽  
The United States ◽  
Contributing Factors ◽  
Fatal Crash ◽  
Road Users ◽  
Fatal Crashes ◽  
Vulnerable Road Users ◽  
Pedestrian Crashes

Recent statistics show that around 20% of all pedestrian fatalities (1,002 out of 5,376) in 2015 were pedestrians over the age of 65. There is a need to identify issues associated with elderly pedestrian crashes to develop effective countermeasures. This study aimed to determine the key associations between contributing factors of elderly pedestrian crashes. The authors analyzed three years (2014 to 2016) of elderly pedestrian fatal crashes from the Fatality Analysis Reporting System in the United States by using empirical Bayes (EB) data mining. The findings of this study revealed several association patterns with high crash potential for elderly pedestrians that include backing vehicle-related crashes for female pedestrians (especially those aged 79 and above), segment-related crashes at night for 65 to 69 year-old male pedestrians, crossing an expressway at night for male pedestrians, especially the 65 to 69 year group, failure to yield while crossing at intersections, and crashes occurring in the dark with poor street lighting. The findings of this study could help authorities determine effective countermeasures for this group of vulnerable road users.

scholarly journals A Rare Event Modelling Approach to Assess Injury Severity Risk of Vulnerable Road Users

Safety ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 29 ◽  
Author(s):  
Mariana Vilaça ◽  
Eloísa Macedo ◽  
Margarida C. Coelho
Keyword(s):  
Risk Factors ◽  
Urban Areas ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Rare Event ◽  
Motor Vehicle Crash ◽  
Crash Data ◽  
Road Users ◽  
Vulnerable Road Users ◽  
The One

Vulnerable road users (VRUs) represent a large portion of fatalities and injuries occurring on European Union roads. It is therefore important to address the safety of VRUs, particularly in urban areas, by identifying which factors may affect the injury severity level that can be used to develop countermeasures. This paper aims to identify the risk factors that affect the severity of a VRU injured when involved in a motor vehicle crash. For that purpose, a comparative evaluation of two machine learning classifiers—decision tree and logistic regression—considering three different resampling techniques (under-, over- and synthetic oversampling) is presented, comparing both imbalanced and balanced datasets. Crash data records were analyzed involving VRUs from three different cities in Portugal and six years (2012–2017). The main conclusion that can be drawn from this study is that oversampling techniques improve the ability of the classifiers to identify risk factors. On the one hand, this analysis revealed that road markings, road conditions and luminosity affect the injury severity of a pedestrian. On the other hand, age group and temporal variables (month, weekday and time period) showed to be relevant to predict the severity of a cyclist injury when involved in a crash.

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