Publications by authors named "Eirin Ryeng"

Individuals with balance disorders are often an overlooked population in discussions surrounding universal design. Balance disorders encompass a wide range of conditions, affecting individuals across demographics and significantly impacting their mobility and independence. Despite their prevalence and potential severity, limited guidance exists for designing spaces that effectively cater to these varied needs.

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The main purpose of the article is to examine the association between risk perception and cyclists' decision as to whether to cycle during the different seasons of the year. The study on which the article is based included worry as a feeling that emerges as a result of an individual's cognitive assessment of risk, attitudes toward traffic rules, risk tolerance and safety priority. The study was based on a questionnaire survey carried out among cyclists from Trondheim Municipality in Norway (n = 291) during spring 2017.

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Previous research has suggested that drivers' route familiarity/unfamiliarity (using different definitions of familiarity), and the interactions between familiar and unfamiliar drivers, may affect both the driving performances and the likelihood of road crashes. The purpose of this study is to provide a contribution in the search for relationships between familiarity and crashes by: 1) introducing a measure of familiarity based on the distance from residence; 2) analyzing a traffic and accident dataset referred to rural two-lane sections of the Norwegian highways E6 and E39; 3) using a multi-level approach, based on different perspectives, from a macro analysis to more detailed levels. In the macro analyses, the accident rates computed for different seasons and for different summer traffic variation rates (used as indicators of the share of familiar drivers in the flow) were performed.

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In this data set, vehicle observations have been linked to data containing weather and road surface conditions. A total of 311 908 observations are collected and classified in categories of precipitation type, road status information, and daylight condition. The data is collected for a long period of time, so that several different weather situations are present, ranging from dry summer to adverse winter weather conditions.

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The safety effects of cooperative intelligent transport systems (C-ITS) are mostly unknown and associated with uncertainties, because these systems represent emerging technology. This study proposes a bowtie analysis as a conceptual framework for evaluating the safety effect of cooperative intelligent transport systems. These seek to prevent road traffic accidents or mitigate their consequences.

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This study examines how precipitation, light conditions and surface conditions affect the drivers' risk perception. An indicator CRI (Chosen Risk Index) is defined, which describes the chosen risk level for drivers in a car-following situation. The dataset contains about 70 000 observations of driver behaviour and weather status on a rural road.

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A Stated Preference survey of speed choice on Norwegian rural roads with 80 km/h speed limit was made by the roadside in order to determine which factors most strongly influence this choice. The aim was to study deliberate speeding to identify any correlations between speed choice and (1) the drivers' perception of the level of police enforcement, (2) penalties for speeding and (3) the speed choice of the other drivers on the road. Drivers were asked about their perception of these variables before being presented to nine hypothetical situations for which they were asked about the most likely speed to choose.

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