Scope and patterns of under-reporting of vulnerable road users in official road accident statistics

Bauer, Robert; Steiner, M; Kühnelt-Leddhin, A; Lyons, R. A.; Turner, Samantha; Walters, W; Larsen, Bryan; Valkenberg, Huib; Bejko, Dritan; Ellsaesser, G; Rogmans, Willebrordus Hendricus Johannes; Kisser, Rupert

doi:10.1093/eurpub/ckx187.653

Cited by 4 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, in Europe 11% of crash deaths are motorcyclists compared with 43% in Asia (WHO, 2018). Even this is an underestimation of the extent of the problem in LMICs because under-reporting of crashes is systematically biased by crash type, with crashes involving vulnerable road users less likely to be reported than other crashes of similar severity (Kira, Sigal, Tove, Jens, & Carlo, 2016;Bauer, Steiner, Kühnelt-Leddhin, Lyons, Turner, Walters, et al, 2017). It is vital to appreciate that the vehicle mix is not simply a demographic 'given' in road safety but rather a feature subject to influence by various policy levers, including provision of safer alternative transport such as Bus Rapid Transit (BRT) systems which are being adopted increasingly in LICs, BRT pricing policies, vehicle registration and insurance cost policies.…”

Section: Demographic and Topographic Influencersmentioning

confidence: 99%

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

Job

Wambulwa²

2020

JRS

View full text Add to dashboard Cite

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.

show abstract

Section: Demographic and Topographic Influencersmentioning

confidence: 99%

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

Job

Wambulwa²

2020

JRS

View full text Add to dashboard Cite

show abstract

Section: Demographic and Topographic Influencersmentioning

confidence: 99%

“…There are many reasons for this level of under-reporting and thus it is important not to attribute all these to Police. These omissions cause many problems for road safety including under-representing the extent of the problem, reducing the business case and political demand for road safety actions, and misleading both the nature and location of the problem through systematic biases in which crashes are reported relating to the nature of the crash and its location (Bauer et al, 2017;Wambulwa & Job, 2019). Thus, poor data add to the many other challenges for LICs especially in managing road safety: inadequate funding of road safety, under-funded or absent strategies, and the common absence of a road safety managing/lead agency (Wambulwa & Job, 2019).…”

Section: Data Management and Delivery Of Road Safetymentioning

confidence: 99%

Untitled

2020

JRS

View full text Add to dashboard Cite

This enables researchers, policy makers, app developers, road safety partners and other interested groups to access the speed limit and speed zoning data on NSW roads.The information assists in making NSW roads safer by providing speed zoning data to customers where and when it is important and relevant to their journey.Since the Open Data Hub launched in 2016, speed zone data has been one of the most requested datasets from developers and researchers. Speed zone data was also ranked in the top five datasets our community wanted to see in the open data 2017 survey.

show abstract

“…To conduct road safety inspections in Europe, a road infrastructure safety management directive is adopted by the European Union [2]. The EU will eventually have a role in the safety management of the roads belonging to European transportation networks-which is set to encompass 90,000 km of motorway and high-quality roads by 2020-through safety audits at the design stage and regular safety inspections of the network [3]. Similar policies also have been made in the U.S.…”

Section: Introductionmentioning

confidence: 99%

Pole-Like Road Furniture Detection and Decomposition in Mobile Laser Scanning Data Based on Spatial Relations

Elberink

Vosselman

2018

Remote Sensing

View full text Add to dashboard Cite

Abstract:Road furniture plays an important role in road safety. To enhance road safety, policies that encourage the road furniture inventory are prevalent in many countries. Such an inventory can be remarkably facilitated by the automatic recognition of road furniture. Current studies typically detect and classify road furniture as one single above-ground component only, which is inadequate for road furniture with multiple functions such as a streetlight with a traffic sign attached. Due to the recent developments in mobile laser scanners, more accurate data is available that allows for the segmentation of road furniture at a detailed level. In this paper, we propose an automatic framework to decompose road furniture into different components based on their spatial relations in a three-step procedure: first, pole-like road furniture are initially detected by removing ground points and an initial classification. Then, the road furniture is decomposed into poles and attachments. The result of the decomposition is taken as a feedback to remove spurious pole-like road furniture as a third step. If there are no poles extracted in the decomposition stage, these incorrectly detected pole-like road furniture-such as the pillars of buildings-will be removed from the detection list. We further propose a method to evaluate the results of the decomposition. Compared with our previous work, the performance of decomposition has been much improved. In our test sites, the correctness of detection is higher than 90% and the completeness is approximately 95%, showing that our procedure is competitive to state of the art methods in the field of pole-like road furniture detection. Compared to our previous work, the optimized decomposition improves the correctness by 7.3% and 18.4% in the respective test areas. In conclusion, we demonstrate that our method decomposes pole-like road furniture into poles and attachments with respect to their spatial relations, which is crucial for road furniture interpretation.

show abstract

Scope and patterns of under-reporting of vulnerable road users in official road accident statistics

Cited by 4 publications

References 0 publications

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

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

Untitled

Pole-Like Road Furniture Detection and Decomposition in Mobile Laser Scanning Data Based on Spatial Relations

Contact Info

Product

Resources

About