Scenario Design Sample Clauses

Scenario Design. The proposed set up of the offshore mussel culture systems by making use of floating platforms, would increase the volume of mussel production in the Netherlands, for supplies to the French, Belgian and Dutch market. It would therefore add to the existing market and should be competitive to the on-going inshore and near-shore culturing of mussels. The baseline for the assessment of the feasibility of offshore culturing is therefore the current practise of mussel culturing. As shown in Figure 1, the proposed location is relatively nearby the south-west coast of the Netherlands, where landing of mussels is already facilitated, e.g. in the harbours of Vlissingen, Yerseke and Stellendam. Most of the mussels are being traded and transported directly to the market: restaurants, supermarkets, etc.

Scenario Design. The proposed set-up for culturing Seabream on top of floating modules would substantially increase the production of Seabream in the western Mediterranean Sea and would supply the markets of France for further distribution. The location for the culturing of Seabream is relatively far offshore (Figure 8), and cultured fish may therefore be distributed to several harbours in its vicinity. The high production volume may lower the market price for Seabream. The product is more environmentally friendly produced than the fish currently cultured in open cages and may profit from a greener image. 9 xxxxx://xx.xxxxxx.xx/fisheries/cfp/aquaculture/

Scenario Design. Scenario design is a crucial step towards designing a study, even in the case of a naturalistic riding study where the rider is instructed to ride normally. In this study, each partner performing the study will define different characteristics of the specific elements of the scenario design. In the case of naturalistic riding studies the different elements that comprise the scenario design can be somewhat defined by the choice of the participant. Participant characteristics that might be of interest in a naturalistic riding study and that might serve as criteria in participant selection are the following: • Rider age – young riders and elderly riders are at higher risk of crashing than “middle-age” riders, • Rider experience – novice riders demonstrate higher risk and different behaviours from experienced riders, different types of errors have also been identified, • Rider gender – male riders usually ride “bigger” bikes and exhibit riskier riding behaviour than women, • Type of PTW – because the PTW used in the study will not be owned by the participant, it is preferable to use a PTW similar to the one the participant typically uses; type of PTW may also yield the actual motives (e.g. riding for recreation) for riding, • Use of both car and PTW for trips – this has not been investigated but it could be the case that a rider who also drives a car has different behaviour from the rider who only uses a PTW, • PTW mileage – high PTW mileage (at least higher than average) is considered to provide more accurate results in a study, • Accident history – is an indicator of rider behaviour in terms of individual crash risk, • Typical types of trips with the PTW – defines several elements such as type of network where trips take place, trip flexibility. e.g. if PTW is used for trips for work it might be the case that the rider needs to reach the destination at a specific time, he/she cannot postpone a trip in the case of adverse conditions, the rider is familiar with the road network etc., • Area of residence, work, trips – defines the type of network in which the trips take place, together with typical types of trips, • Motives for riding – indicates riding behaviour, e.g. wants to ride fast, whether rides for commuting reasons etc • Sensation seeking behaviour. Hence, participants with specific characteristics can be recruited depending on the aims of the naturalistic study, e.g. where riding behaviour of specific groups should be investigated (i.e. risky riders, ...