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Institution

Transport Research Laboratory

CompanyWokingham, United Kingdom
About: Transport Research Laboratory is a company organization based out in Wokingham, United Kingdom. It is known for research contribution in the topics: Poison control & Landslide. The organization has 295 authors who have published 353 publications receiving 11487 citations. The organization is also known as: Road Research Laboratory.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors present recommended methodologies for the quantitative analysis of landslide hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and national), as well as for the verification and validation of the results.
Abstract: This paper presents recommended methodologies for the quantitative analysis of landslide hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and national), as well as for the verification and validation of the results. The methodologies described focus on the evaluation of the probabilities of occurrence of different landslide types with certain characteristics. Methods used to determine the spatial distribution of landslide intensity, the characterisation of the elements at risk, the assessment of the potential degree of damage and the quantification of the vulnerability of the elements at risk, and those used to perform the quantitative risk analysis are also described. The paper is intended for use by scientists and practising engineers, geologists and other landslide experts.

776 citations

Journal ArticleDOI
TL;DR: Results highlight potential barriers to the uptake of current-generation (2010) plug-in electric cars by mainstream consumers, including the prioritization of personal mobility needs over environmental benefits, concerns over the social desirability of electric vehicle use, and the expectation that rapid technological and infrastructural developments will make current models obsolete.
Abstract: Plug-in electric vehicles can potentially emit substantially lower CO2 emissions than internal combustion engine vehicles, and so have the potential to reduce transport emissions without curtailing personal car use. Assessing the potential uptake of these new categories of vehicles requires an understanding of likely consumer responses. Previous in-depth explorations of appraisals and evaluations of electric vehicles have tended to focus on ‘early adopters’, who may not represent mainstream consumers. This paper reports a qualitative analysis of responses to electric cars, based on semi-structured interviews conducted with 40 UK non-commercial drivers (20 males, 20 females; age 24–70 years) at the end of a seven-day period of using a battery electric car (20 participants) or a plug-in hybrid car (20 participants). Six core categories of response were identified: (1) cost minimisation; (2) vehicle confidence; (3) vehicle adaptation demands; (4) environmental beliefs; (5) impression management; and, underpinning all other categories, (6) the perception of electric cars generally as ‘work in progress’ products. Results highlight potential barriers to the uptake of current-generation (2010) plug-in electric cars by mainstream consumers. These include the prioritization of personal mobility needs over environmental benefits, concerns over the social desirability of electric vehicle use, and the expectation that rapid technological and infrastructural developments will make current models obsolete. Implications for the potential uptake of future electric vehicles are discussed.

533 citations

Journal ArticleDOI
TL;DR: It is concluded that ‘expectancy’, based on experience in both the long and the short term, has a profound influence on driver perception and assessment of risk.
Abstract: Recent research is reviewed and its implications discussed. "On-the-Spot" accident investigations have confirmed that errors of perception by the driver are a major contributory factor to accidents. However, the available evidence suggests that few of these are attributable to reduced or defective vision, since at best only a weak relationship has been found between a driver's level of vision (or visual performance) and his accident rate. A number of reasons for this general finding are considered, including driver compensation. For all drivers, the rapid fall in visual acuity with angular distance from the centre of vision presents particular problems, giving special significance to eye-movement patterns and the problems of visual search. Numerous physical and psychophysical restrictions on visibility could lead to the "looked, but failed to see" type of accident, but their relative importance requires evaluation. There is now much evidence that the driver is quite often operating beyond his visual or perceptual capabilities in a number of key driving situations, including overtaking, joining or crossing a high-speed road, and a number of nighttime situations. It is concluded that "expectancy", based on experience in both the long and the short term, has a profound influence on driver perception and assessment of risk. For all drivers, serious errors of judgment from time to time would seem inevitable. In general, these do not lead to accidents because of, among other things, the safety margins added by the driver and adjustments made by other road users. Thus, despite his limitations and fallibilities, the average driver is involved in surprisingly few serious incidents, particularly in view of the rapid rate of decisionmaking that is required. However, the present accident rate should not be accepted as inevitable and various countermeasures are discussed.

421 citations

Journal ArticleDOI
TL;DR: In this article, the authors study how private car drivers' perception of vehicle attributes may affect their intention to adopt electric vehicles (EVs) and find that people who believe that a pro-environmental self-identity fits with their self-image are more likely to have positive perceptions of EV attributes.
Abstract: The aim is to understand how private car drivers’ perception of vehicle attributes may affect their intention to adopt electric vehicles (EVs). Data are obtained from a national online survey of potential EV adopters in the UK. The results indicate that instrumental attributes are important largely because they are associated with other attributes derived from owning and using EVs, including pleasure of driving (hedonic attributes) and identity derived from owning and using EVs (symbolic attributes). People who believe that a pro-environmental self-identity fits with their self-image are more likely to have positive perceptions of EV attributes. Perceptions of EV attributes are only very weakly associated with car-authority identity.

408 citations

Journal ArticleDOI
TL;DR: Prior behavior was found to moderate the perceived control-intention and perceived control -subsequent behavior relationships, and attitude, subjective norm, and perceivedControl were positively associated with behavioral intention and intention and perceived Control were positive associated with subsequent behavior.
Abstract: The theory of planned behavior (TPB; I. Ajzen, 1985) was applied to drivers' compliance with speed limits. Questionnaire data were collected for 598 drivers at 2 time points separated by 3 months. TPB variables, demographic information, and self-reported prior behavior were measured at Time 1, and self-reported subsequent behavior was measured at Time 2. In line with the TPB, attitude, subjective norm, and perceived control were positively associated with behavioral intention, and intention and perceived control were positively associated with subsequent behavior. TPB variables mediated the effects of age and gender on behavior. Prior behavior was found to moderate the perceived control-intention and perceived control-subsequent behavior relationships. Practical implications of the findings for road safety and possible avenues for further research are discussed.

361 citations


Authors

Showing all 296 results

NameH-indexPapersCitations
Deborah Fahy Bryceson35975260
Nicola Christie22871350
Mark A. Elliott21542004
Tim Horberry211532408
Sally Cairns20681860
Jeremy Broughton1943852
Andrew Parkes1854948
Mike G. Winter18761651
Peter C. Burns18331358
Nick Reed17341311
Terry C. Lansdown17521035
G.R. Watts1627874
Stephen Skippon14242126
Neale Kinnear13281281
Cyriel Diels1352638
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20222
20217
202010
201911
20186
201717