Abstract

This paper explores the new ways of relation and interaction which are taking place into the lnformation Society, particularly on the use of the latest information and communication technologies (ICTs). Young people, the «Net generationn, have a very good opinion of the language of links. They are taking the most of the relation and communication potentials from the new technologies such as the Internet. These present changes mean chances and risks that should be taken into account by teachers and communicators.

Abstract

Much of earlier work on predictive models for accidents has been focused on rural traffic or urban intersections. This work has aimed at identifying and investigating possible improvements to predictive models for accidents on urban links. A special focus has been on the accidents of vulnerable road users."br /" "br /" The possible improvements investigated have been: a) the use of exposure data for vulnerable road users, b) the use of actual vehicle speeds, c) to separate vehicle accidents into single vehicle and multiple vehicle accidents and model each type separately."br /" "br /" The study involved eight Swedish cities, of which six were included in the development of accident models. In addition to police-reported traffic accidents, data for the models were collected in specific field studies and partly from the cities."br /" "br /" The study shows that the inclusion of exposure data for vulnerable road users in the models for vulnerable road users? accidents greatly improves the predictive ability of the models. Vehicle speeds were found to be very difficult to use in the models as vehicle speeds are highly correlated with most of the other variables and make the model coefficients unstable. The separate modelling of single and multiple vehicle accidents failed partly as the single vehicle accidents were too few for constructing sound models. The models for multiple vehicle accidents developed, however, had a better predictive ability than models for all vehicle accidents. Land use was the next important explanatory variable for most accident types after the exposure variables."br /" "br /" Accident models were developed with one data set and validated with another data set. The models performed very well in prediction by explaining between 71% and 81% of the systematic variation in the validation data. The validation indicated that exponents were 0.5 for both the flows of pedestrians and motor vehicles in models for accidents involving vulnerable road users, and 1.0 for the motor vehicle flow exponent in the models for motor vehicle accidents. For bicyclist accidents the correct exponent for bicyclist flows is likely to be somewhat lower than 0.5, close to 0.35."br /" "br /" The study also recommended practical uses for the models, listed the lessons learned from the modelling as well as proposed a number of topics for further research.

Abstract

Our society is increasingly interconnected through multiple types of networks, and humankind is changing their habits accordingly, adapting to the use of new technologies. We explore the psycho-social characteristics that determine people’s behavior through the communication channels. We discuss some structures of networking in the field of Library and Information Science: mailing lists, directories, etc. We conclude that the work of the information professional fits perfectly in the current wave 2.0 of information sharing.