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Academic literature on the topic 'Road Risk Indices (RRI)'
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Journal articles on the topic "Road Risk Indices (RRI)"
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Fu, Liping, Lalita Thakali, Tae J. Kwon, and Taimur Usman. "A risk-based approach to winter road surface condition classification." Canadian Journal of Civil Engineering 44, no. 3 (2017): 182–91. http://dx.doi.org/10.1139/cjce-2016-0215.
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This paper presents a risk-based approach for classifying the road surface conditions of a highway network under winter weather events. A relative risk index (RRI) is developed to capture the effect of adverse weather conditions on the collision risk of a highway in reference to the normal driving conditions. Based on this index, multiple risk factors related to adverse winter weather conditions can be considered either jointly or separately. The index can also be used to aggregate different types of road conditions observed on any given route into a single class for risk-consistent condition classification and reporting. Two example applications are shown to illustrate the advantages of the proposed approach.
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Basut, Fahrettin, Şakir Özgür Keşkek, and Bozkurt Gülek. "Better Renal Resistive Index Profile in Subjects with Beta Thalassemia Minor." Medical Principles and Practice 27, no. 4 (2018): 367–71. http://dx.doi.org/10.1159/000489780.
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Objective: Beta thalassaemia minor is a common genetic disorder without any characteristic symptoms except mild anemia. It is found to be associated with some cardiovascular risk factors such as insulin resistance and diabetes mellitus. The renal resistive index (RRI) is a measure of renal arterial resistance to blood flow. The aim of this study was to evaluate the RRI in subjects with beta thalassemia minor (BTM). Subjects and Methods: A total of 253 subjects were included in this cross-sectional study. The study group consisted of 148 subjects with BTM and the control group consisted of 105 healthy subjects. BTM was diagnosed by a complete blood count and hemoglobin electrophoresis. Blood pressure measurement and biochemical tests were performed. The RRI of all subjects was measured using renal Doppler ultrasonography. Results: Subjects with BTM had lower renal resistive indices compared to healthy subjects (0.58 ± 0.04 vs. 0.60 ± 0.06, p = 0.0016). Additionally, the RRI levels of subjects with BTM were correlated with systolic blood pressure (p = 0.017, r = 0.194). Conclusion: In this study, lower RRI were found in subjects with BTM. This may be associated with a decreased vascular resistance and blood viscosity in these subjects.
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Cai, Xiaoyu, Cailin Lei, Bo Peng, Xiaoyong Tang, and Zhigang Gao. "Road Traffic Safety Risk Estimation Method Based on Vehicle Onboard Diagnostic Data." Journal of Advanced Transportation 2020 (February 26, 2020): 1–13. http://dx.doi.org/10.1155/2020/3024101.
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Currently, research on road traffic safety is mostly focused on traffic safety evaluations based on statistical indices for accidents. There is still a need for in-depth investigation on preaccident identification of safety risks. In this study, the correlations between high-incidence locations for aberrant driving behaviors and locations of road traffic accidents are analyzed based on vehicle OBD data. A road traffic safety risk estimation index system with road traffic safety entropy (RTSE) as the primary index and rapid acceleration frequency, rapid deceleration frequency, rapid turning frequency, speeding frequency, and high-speed neutral coasting frequency as secondary indices is established. A calculation method of RTSE is proposed based on an improved entropy weight method. This method involves three aspects, namely, optimization of the base of the logarithm, processing of zero-value secondary indices, and piecewise calculation of the weight of each index. Additionally, a safety risk level determination method based on two-step clustering (density and k-means clustering) is also proposed, which prevents isolated data points from affecting safety risk classification. A risk classification threshold calculation method is formulated based on k-mean clustering. The results show that high-incidence locations for aberrant driving behaviors are consistent with the locations of traffic accidents. The proposed methods are validated through a case study on four roads in Chongqing with a total length of approximately 38 km. The results show that the road traffic safety trends characterized by road safety entropy and traffic accidents are consistent.
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Rojo, M., H. Gonzalo-Orden, A. Linares, and L. dell’Olio. "Impact of a Lower Conservation Budget on Road Safety Indices." Journal of Advanced Transportation 2018 (July 30, 2018): 1–9. http://dx.doi.org/10.1155/2018/9570465.
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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.
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Shoji, Gaku, and Ayumi Toyota. "Function of Emergency Road Networks During the Post-Earthquake Process of Lifeline Systems Restoration." Journal of Disaster Research 7, no. 2 (2012): 173–83. http://dx.doi.org/10.20965/jdr.2012.p0173.
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This paper aims to present a framework for evaluating the functionality of emergency road networks after an earthquake from the perspective of local assistance during the process of restoring lifeline systems, such as electric power supply systems, gas supply systems and telecommunication networks. For the analysis, an earthquake of M7.3 in the Tokyo metropolitan area is anticipated, and the following types of local assistance between the related bases and the lifeline systems in the Kanto area are assumed. We employ four indices to quantify the physical and functional states of emergency road networks to be used during the post-earthquake restoration process: distance exposed by seismic intensity spatial distribution and distance exposed by PL value spatial distribution, the indices of which denote the physical state of the road networks as a result of ground motions and liquefaction, distance weighted by traffic congestion level, and distance weighted by averaged traveling time during the congestion, the indices of which denote the functional state of the road networks before being subjected to the above-mentioned seismic disturbances. By using the indices to evaluate the function of the networks from the point of view of efficiency in terms of gathering human resources and restoration materials, we can determine the most effective emergency road networks and related bases to provide local assistance to lifeline systems.
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Serge, Andrea, Johana Quiroz Montoya, Francisco Alonso, and Luis Montoro. "Socioeconomic Status, Health and Lifestyle Settings as Psychosocial Risk Factors for Road Crashes in Young People: Assessing the Colombian Case." International Journal of Environmental Research and Public Health 18, no. 3 (2021): 886. http://dx.doi.org/10.3390/ijerph18030886.
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The social determinants of health influence both psychosocial risks and protective factors, especially in high-demanding contexts, such as the mobility of drivers and non-drivers. Recent evidence suggests that exploring socioeconomic status (SES), health and lifestyle-related factors might contribute to a better understanding of road traffic crashes (RTCs). Thus, the aim of this study was to construct indices for the assessment of crash rates and mobility patterns among young Colombians who live in the central region of the country. The specific objectives were developing SES, health and lifestyle indices, and assessing the self-reported RTCs and mobility features depending on these indices. A sample of 561 subjects participated in this cross-sectional study. Through a reduction approach of Principal Component Analysis (PCA), three indices were constructed. Mean and frequency differences were contrasted for the self-reported mobility, crash rates, age, and gender. As a result, SES, health and lifestyle indices explained between 56.3–67.9% of the total variance. Drivers and pedestrians who suffered crashes had higher SES. A healthier lifestyle is associated with cycling, but also with suffering more bike crashes; drivers and those reporting traffic crashes have shown greater psychosocial and lifestyle-related risk factors. Regarding gender differences, men are more likely to engage in road activities, as well as to suffer more RTCs. On the other hand, women present lower healthy lifestyle-related indices and a less active implication in mobility. Protective factors such as a high SES and a healthier lifestyle are associated with RTCs suffered by young Colombian road users. Given the differences found in this regard, a gender perspective for understanding RTCs and mobility is highly suggestible, considering that socio-economic gaps seem to differentially affect mobility and crash-related patterns.
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Ogbu, Chukwuemeka Patrick, and Chinedu Chimdi Adindu. "Direct risk factors and cost performance of road projects in developing countries." Journal of Engineering, Design and Technology 18, no. 2 (2019): 326–42. http://dx.doi.org/10.1108/jedt-05-2019-0121.
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Purpose Globally, road projects are notorious for riskiness, which often results in cost overruns. In developing countries, these risks are amplified by economic instabilities and institutional failures. Majority of road projects in these countries are awarded to notedly inept indigenous contractors. Currently, research on the relationship between risks and cost performance of road projects has predominantly focussed on the client’s perspective. Effects of risks on contractors’ cost performance (profit) are inadequately investigated in literature. The purpose of this paper is to determine the relationship between direct risks and cost performance of road projects by indigenous contractors of developing countries from the contractors’ perspective. Design/methodology/approach The multivariate structural equation modelling technique was used to analyse purposively obtained data from indigenous contractors that recently completed road projects in Nigeria. Findings It was observed that a significant positive relationship exists between the aggregate project risk, i.e. project risk index of cost (PRIC) and cost performance of the projects. Significant positive relationships were also found to exist between identified cost risk centres and PRIC and between risk factors and cost risk centres. The risk centre site environment and location contributes the most to PRIC. Research limitations/implications Indigenous contractors of developing countries are to analyse the identified risk factors and centres prior to bidding for road projects and carefully manage them during project execution. Originality/value Future studies of risks in road project should aim to obtain project risk indices of costs for the projects.
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Desai, Vijaya S. "Risk Analysis Using Simulation Software Applied on a Road Infrastructure Project." International Journal of Risk and Contingency Management 4, no. 1 (2015): 53–62. http://dx.doi.org/10.4018/ijrcm.2015010104.
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Risk management in infrastructure projects has been a very important process to achieve the project objectives, namely: time, cost, quality, safety and environmental sustainability. Huge investments are made in infrastructure construction projects like roads, railways, ports, airports, electricity, telecommunication, oil gas pipelines and irrigation. This growing Increase in investment in infrastructure investment projects demands requires close monitoring of costs to ensure a net return. The evaluation of returns on investment at the conceptual stage plays a vital role in this phase. Software tools help in bringing out near accurate analysis of returns on investments and to support project viability under multiple circumstances. The paper presents an analysis of how software was applied to evaluate and mitigate risk during the case of a six lane road infrastructure project. The unit of analysis was the impact of cost of construction cost, interest rates for loans, methods of depreciation, revenue sharing on various financial indices: IRR, MIRR, DSCR and payback period. The interpretation was that software tools can be used to perform risk analysis, sensitivity analysis and scenario analysis. The case study makes a contribution to the body of knowledge by developing guidelines for using software tools in risk management.
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Moryani, Haseeb Tufail, Shuqiong Kong, Jiangkun Du, and Jianguo Bao. "Health Risk Assessment of Heavy Metals Accumulated on PM2.5 Fractioned Road Dust from Two Cities of Pakistan." International Journal of Environmental Research and Public Health 17, no. 19 (2020): 7124. http://dx.doi.org/10.3390/ijerph17197124.
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The aim of this study is to identify and investigate levels of toxic heavy metals in PM2.5 fractioned road dust to better understand the associated inhalation risk and potential health impacts. To achieve this aim, concentrations of seven traffic generated heavy metals (Cu, Pb, Zn, Cd, Ni, Sb, and Cr) were determined in the PM2.5 fraction of road dust samples from four different locations (offices, residential, hospital, and school) in two cities (Karachi and Shikarpur) of Pakistan using ICP-MS. The average concentration values of heavy metals in Karachi were as follows: 332.9 mg/kg Cu, 426.6 mg/kg Pb, 4254.4 mg/kg Zn, 62.3 mg/kg Cd, 389.7 mg/kg Ni, 70.4 mg/kg Sb, 148.1 mg/kg Cr, whereas the average concentration values of heavy metals in Shikarpur were 245.8 mg/kg Cu, 538.4 mg/kg Pb, 8351.0 mg/kg Zn, 57.6 mg/kg Cd, 131.7 mg/kg Ni, 314.5 mg/kg Sb, 346.6 mg/kg Cr. The pollution level was assessed through two pollution indices enrichment factor (EF) and geoaccumulation index (Igeo). These indices showed moderate to extreme level pollution in studied areas of both cities. The health risk assessment through inhalation contact was conducted according to the United States Environmental Protection Agency’s (USEPA) model for children and adults. Both non-cancerous and cancerous risks were characterised in the road dust samples for each location. As yet, there is not a single study on the concentrations of heavy metals in PM2.5 fractions of road dust in Karachi and Shikarpur, findings of this research will facilitate researchers for further investigations in current field.
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V. Luot, Nguyen, Dao T. D. Linh, Nguyen D. Phong, Nguyen V. Long, Bui M. Duc, and Pham V. Hue. "Traffic Risk Perception, Risky Road Use Behaviors among Vietnamese People." Open Psychology Journal 13, no. 1 (2020): 49–57. http://dx.doi.org/10.2174/1874350102013010049.
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Background: The total number of (road) traffic accidents in Vietnam remains high and the death toll caused by these accidents also ranks second in Southeast Asia. Many studies elsewhere have shown a positive correlation between the traffic risk perception and the traffic risky behavior (henceforth, referred to as TRP and TRB, respectively, for short) However, this relationship has been relatively under-researched in the context of Vietnam. This study aimed to fulfill the above research gap by investigating the present status of TRP and TRB among Vietnamese people who used motorbikes and/or electric motorbikes for their daily travel as well as the association between these two variables. Methods: This was a cross-sectional quantitative study. Data were collected from a convenient sample of 373 people using motorbikes and electric motorbikes (102 males, 271 females; M age = 25.8) by means of an online questionnaire survey. This questionnaire survey was constructed based on the Risk Perception Scale on traffic risk developed by Ram et al. (2016) as well as an additional question that was to explore the risk behaviors of research participants during their traffic involvement for the last thirty days. Results: TRP indices were found to be higher for women than for men. Young males with extroverted characteristics had higher TRB than old females with introverted characteristics. However, no relationship existed between these two factors in the present study. Conclusion: As the finding of this study turned out to be inconsistent with those of previous research, more empirical studies are still welcome in this area.