scholarly journals Effects of Economic Recession on Road Safety Indexes

Author(s):  
MARTA ROJO ◽  
HERNÁN GONZALO-ORDEN ◽  
ALAITZ LINARES ◽  
LUIGI DELL'OLIO

During the last years, the investment in both construction and conservation of transportinfrastructures has been considerably reduced in several countries, as Spain. After anumber of years in which economic circumstances have forced Governments to reducebudgets earmarked for the maintenance and creation of new ways, it is interesting toanalyze whether this has taken a toll on accident rates.The paper evaluates if there are significant changes in the road safety through these yearsin Spain, comparing the annual statistics concerning investment in infrastructure andaccidents. Thus, the classical risk, mortality and severity indexes have been analyzed tounderstand their real trends. Finally, through linear regression techniques, it is shown howthese trends are related to the budgets invested each year, in order to draw interestingconclusions about the effect of their reduction.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3427

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
M. Rojo ◽  
H. Gonzalo-Orden ◽  
A. Linares ◽  
L. dell’Olio

Over the past few years, several countries, including Spain, have been experiencing a period of economic recession. As a result, these governments have reduced their budgets for transport infrastructures (both construction and maintenance operations). The main objective of this study is to analyze whether these budget reductions have an effect on increased accident rates and to perform an assessment of their real economic benefit. Thus, we analyze whether significant changes over recent years are perceptible in the road safety indexes in Spain, in terms of risk, accident fatality, and accident severity. The relation between lower budgets and higher road safety indices is analyzed through linear regression techniques. The results show a strong relation between the Risk Index and the maintenance budget, measured as an average of the last years. In addition, a final economic assessment demonstrates that this reduction in investment had no real economic benefits, especially as the costs of the accidents exceeded the savings in the conservation plans.


Author(s):  
Andar Sri Sumantri ◽  
Irfan Misbahudin

<p>Driving safety is influenced by various such as road conditions vehicle condition, driving behavior, knowledge of driving. All four have an important role in influencing the safety of driving. The purpose of this study was to determine whether there is influence of road conditions, vehicle conditions,driving behavior, knowledge of driving on roads Toll-Bawen Semarang Central Java Province either partially or simultaneously.<br />Results of statistical analysis tools SPSS (Statistical Product And Service Solutions) Ver. 22.0 multiple linear regression equation Y= 2,568 +0,268 X1 + 0,266 X2 + 0,216 X3 +0,148 X4 ( The results of multiple linear regression equation showed that there were significant positive influence on Keselamatan drive the road condition (t = 3,229&gt; t tabel = 1,9853) the condition of vehicle on road safety (t =2,624&gt; t tabel = 1,9853 the driving behavior of the safety driving (t = 3,037 &gt; t tabel = 1,9853, drive to the road safety knowledge ( t = 2,139 &gt; table = 1,9853) individually and simultaneously influence, vehicle conditions perilaku driving, and driving knowledge together –have the same effect as 26,529 &gt; F Tabel 2,46. The fourth influence is very strong research variable with the coefficient of determination (R2) were obtained for 50,8 of the safety of driving and 49,2 % are influenced by variable that are not detectedin this study</p><p><strong>Keywords : Road condition, Vehicle condition, Driving behavior, Knowledge of driving, and Driving safety.</strong></p><p> </p><p>Keselamatan berkendara dipengaruhi oleh berbagai factor diantaranya adalah kondisi jalan, kondisi kendaraan, perilaku pengendara, pengetahuan berkendara. Tujuan dari penelitian ini adalah untuk mengetahui ada tidaknya pengaruh antara kondisi jalan, kondisi kendaraan, perilaku pengendara, pengetahuan berkendara diruas jalan Tol Semarang Bawen Propinsi Jawa Tengah. Dalam penelitian ini yang menjadi populasi adalah pengguna mobil golongan I dijalan tol semarang bawen provinsi jawa tengah berjumlah 100 orang. Variabel dalam penelitian ini terdiri dari : Variabel bebas yaitu kondisi jalan x1, kondisi kendaraan perilaku berkendara x3 dan pengetahuan berkendar serta variable terikat yaitu keselamatan berkendara. Semua hipotesis yang diajukan dalam penelitian ini diterima, sehingga model tersebut mengambarkan hubungan yang kausalitas yang terjalin antar variable. Hasil analisi dengan alat bantu statistic program spss ver.22 . Dari hasil persamaan regresi linier berganda menunjukkan bahwa ada pengaruh yang positif dan signifikan antar masing-masing variable. Pengaruh keempat variable penelitian sangat kuat dengan nilai koefisien determinasi yang diperoleh sebesar 50,8% terhadap keselamatan berkendara dan 49,2 % dipengaruhi oleh variable yang tidak terdeteksi pada penelitian ini.</p><p><strong>Kata kunci : Kondisi Jalan, Kondisi Kendaraan, Perilaku Berkendara, Pengetahuan berkendara dan Keselamatan berkendara.</strong></p>


2021 ◽  
Vol 13 (11) ◽  
pp. 5899
Author(s):  
Yeonsoo Jun ◽  
Juneyoung Park ◽  
Chunho Yeom

This paper evaluates experimental variables for virtual road safety audits (VRSAs) through practical experiments to promote sustainable road safety. VRSAs perform road safety audits using driving simulators (DSs), and all objects in the road environment cannot be experimental variables because of realistic constraints. Therefore, the study evaluates the likelihood of recommendation of VRSA experimental variables by comparing DSs experiments and field reviews to secure sustainable road safety conditions. The net promoter score results evaluated “Tunnel”, “Bridge”, “Underpass”, “Footbridge”, “Traffic island”, “Sign”, “Lane”, “Road marking”, “Traffic light”, “Median barrier”, “Road furniture”, and “Traffic condition” as recommended variables. On the contrary, the “Road pavement”, “Drainage”, “Lighting”, “Vehicle”, “Pedestrian”, “Bicycle”, “Accident”, and “Hazard event” variables were not recommended. The study can be used for decision making in VRSA scenario development as an initial effort to evaluate its experimental variables.


Author(s):  
Daniela Chanci ◽  
Naveen Madapana ◽  
Glebys Gonzalez ◽  
Juan Wachs

The choice of best gestures and commands for touchless interfaces is a critical step that determines the user- satisfaction and overall efficiency of surgeon computer interaction. In this regard, usability metrics such as task completion time, error rate, and memorability have a long-standing as potential entities in determining the best gesture vocabulary. In addition, some previous works concerned with this problem have utilized qualitative measures to identify the best gesture. In this work, we hypothesize that there is a correlation between the qualitative properties of gestures (v) and their usability metrics (u). Therefore, we conducted an experiment with linguists to quantify the properties of the gestures. Next, a user study was conducted with surgeons, and the usability metrics were measured. Lastly, linear and non-linear regression techniques were used to find the correlations between u and v. Results show that usability metrics are correlated with the gestures’ qualitative properties ( R2 = 0.4).


2021 ◽  
Vol 13 (4) ◽  
pp. 2039
Author(s):  
Juan F. Dols ◽  
Jaime Molina ◽  
F. Javier Camacho-Torregrosa ◽  
David Llopis-Castelló ◽  
Alfredo García

The analysis of road safety is critical in road design. Complying to guidelines is not enough to ensure the highest safety levels, so many of them encourage designers to virtually recreate and test their roads, benefitting from the evolution of driving simulators in recent years. However, an accurate recreation of the road and its environment represents a real bottleneck in the process. A very important limitation lies in the diversity of input data, from different sources and requiring specific adaptations for every single simulator. This paper aims at showing a framework for recreating faster virtual scenarios by using an Industry Foundation Classes (IFC)-based file. This methodology was compared to two other conventional methods for developing driving scenarios. The main outcome of this study has demonstrated that with a data exchange file in IFC format, virtual scenarios can be faster designed to carry out safety audits with driving simulators. As a result, the editing, programming, and processing times were substantially reduced using the proposed IFC exchange file format through a BIM (Building Information Modeling) model. This methodology facilitates cost-savings, execution, and optimization resources in road safety analysis.


Author(s):  
Puspa Raj Pant ◽  
Sudhamshu Dahal ◽  
Kannan Krishnaswamy ◽  
Sunil Kumar Joshi ◽  
Julie Mytton
Keyword(s):  

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