Application of road safety indicators of road maintenance planning. Warmia and Mazury case study

2019 ◽  
pp. 723-730
Author(s):  
A. Ciołkosz-Styk ◽  
M. Skakuj ◽  
T. Radzikowski
Author(s):  
Hoang Van Nguyen

AbstractThe discourses of risk serve to organise the ways in which we understand and respond to potential harms and threats, which have become a major concern in our daily life. However, the discourses of risk have not been extensively investigated using linguistic text-based methods on the multimodal level, nor deeply examined beyond Western contexts. Grounded in the literature of risk and multimodal discourse, the aim of the study is to demonstrate Multimodal Discourse Analysis from a Systemic Functional Linguistics perspective as a potential methodology to investigate how risk discourses are constructed in and through semiotic resources in a non-Western setting. Through a case study of child helmet awareness advertisements in Vietnam, the multimodal analysis reveals a comprehensive picture of risk discourses constructed across various semiotic modes. In this analysis, the discourses of risk are constructed through a negotiation of expert knowledge and traditional values to encourage the audience to take actions and provide helmets for their children. Findings of the study demonstrate the use of Systemic Functional multimodal approach to media and communication to provide evidence for risk discourses in the Vietnamese setting, which are at odds with the current literature and can potentially be extended to other contexts.


2019 ◽  
Vol 46 (6) ◽  
pp. 511-521
Author(s):  
Lian Gu ◽  
Tae J. Kwon ◽  
Tony Z. Qiu

In winter, it is critical for cold regions to have a full understanding of the spatial variation of road surface conditions such that hot spots (e.g., black ice) can be identified for an effective mobilization of winter road maintenance operations. Acknowledging the limitations in present study, this paper proposes a systematic framework to estimate road surface temperature (RST) via the geographic information system (GIS). The proposed method uses a robust regression kriging method to take account for various geographical factors that may affect the variation of RST. A case study of highway segments in Alberta, Canada is used to demonstrate the feasibility and applicability of the method proposed herein. The findings of this study suggest that the geostatistical modelling framework proposed in this paper can accurately estimate RST with help of various covariates included in the model and further promote the possibility of continuous monitoring and visualization of road surface conditions.


2017 ◽  
Vol 25 ◽  
pp. 4649-4661 ◽  
Author(s):  
Shalini Kanuganti ◽  
Ruchika Agarwala ◽  
Bhupali Dutta ◽  
Pooja N. Bhanegaonkar ◽  
Ajit Pratap Singh ◽  
...  
Keyword(s):  

Author(s):  
Valentina Mandić ◽  
Danislav Drašković

Road traffic, as a part of the entire transport system, is an important factor of social growth and development, which is necessary to create conditions for its safe operation, bearing in mind that all the benefits of this phenomenon are still paying a high price of unnecessary human suffering. In a contemporary society, there is a large number of institutions that play a role in the functioning of the transport system, but they stand out as the holders of activities and measures to improve traffic safety. Given that the number of accidents in recent years has reached a worrying level, in the interest of society is to reduce the number of accidents, or to increase traffic safety, because the consequences that the society is submitting in the form of human casualties and material damage are large. The model for the absolute traffic safety does not exist, but a permanent analytical monitoring of the status of road safety, control and regulation of traffic and taking measures to eliminate the risk factors can greatly increase the level of traffic safety.


Safety ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 58 ◽  
Author(s):  
Francesca Demasi ◽  
Giuseppe Loprencipe ◽  
Laura Moretti

Attention to the most vulnerable road users has grown rapidly over recent decades. The experience gained reveals an important number of fatalities due to accidents in urban branch roads. In this study, an analytical methodology for the calculation of urban branch road safety is proposed. The proposal relies on data collected during road safety inspections; therefore, it can be implemented even when historical data about traffic volume or accidents are not available. It permits us to identify geometric, physical, functional, and transport-related defects, and elements which are causal factors of road accidents, in order to assess the risk of death or serious injuries for users. Traffic volume, average speed, and expected consequences on vulnerable road users in case of an accident allow us to calculate both the level of danger of each homogeneous section which composes the road, and the hazard index of the overall branch. A case study is presented to implement the proposed methodology. The strategy proposed by the authors could have a significant impact on the risk management of urban roads, and could be used in decision-making processes to design safer roads and improve the safety of existing roads.


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