Behavioural adaptation, risk perception and vulnerable road users: Prediction of outcomes of Intelligent Transport Systems (ITS)
Overview
Background & policy context:
Behavioural adaptation is the general ability that human beings possess and which has been of utmost importance for survival through evolution processes. When new technologies are introduced, it is not uncommon to observe less than expected safety improvements, a phenomenon frequently referred to as risk compensation.
Objectives:
The prime objective of the project is to improve the safety of vulnerable road users, i.e. pedestrians, cyclists and motorcyclists, and to study behaviour adaptation and risk compensation to Intelligent Transport Systems (ITS) aiming at increasing the safety of vulnerable road users.
Methodology:
The project will initially describe the State-of-Art of the outcomes of ITS, acknowledging the fact that some measures are ambiguous regarding their effectiveness in reducing the number of accidents where vulnerable road users are involved.
Some evaluations even indicate counter-intuitive results, i.e. that accidents may increase for some of the measures that have been implemented in the road system. The project will specifically address ITS, as one basic hypothesis is that systems utilizing lighting may activate the orienting reflex and then contribute to improved outcomes of ITS.
The project will collect empirical evidence from several angles and initially describe State-of-the-Art of Intelligent Transport Systems (ITS) by assessing their effects on accidents involving vulnerable road users. Three separate behaviour studies will focus on measures addressing pedestrians, risk perception and risk compensation among cyclists (field-experiment) and risk compensation among motorcyclists (field-experiment).
The project will evaluate and assess user needs based on Norwegian, German, English and Dutch accident data-bases. These analyses will focus on aspects that may reduce the intended outcomes and propose improvements of ITS if and when relevant. The project is proposed to contribute to theoretical development and better predictions of ITS by stating testable hypotheses.
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