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CAPITULO VIII De la Nulidad del Laudo

ARTÍCULO TRANSITORIO

As also shown in Figure 5.1, the entire Search component of the SafetyCube DSS is based on two interlinked pillars: Risk Factors and Road Safety Measures. In fact, all entry points at Level 1 (Search Pages) eventually lead to a selection of risk factors or measures of interest, and only by selecting one does the user retrieve the results at Level 2 (Results Pages) and from there potentially to Level 3 (Individual study pages).

5.3.1 Option 1: Keyword search

Following the process described in section 5.2.2, the users have the capability of searching for their topic of interest via keywords. Upon selecting “Keyword Search” the system will let the user type in a keyword in free text and will show in auto-complete form all potential matches in the database master keywords (as shown in Figure 5.3). Once a keyword is entered (or selected from the dynamic auto-complete list), the system will respond with adequate subsets of risk and measure taxonomies for further selection. These taxonomies are identified through a bottom-up approach: the master keyword leads to the respective database keywords, from which the related studies are identified, and subsequently the taxonomies to which these studies correspond (ie the risk or measure topic for which they have been coded) are retrieved.

It is underlined that the results corresponding to synonyms of the typed keyword will also appear e.g. either one types “elderly” or “seniors”, both terms will lead to the exact same search results. Selecting one of the two taxonomy entries (risk factors or measures) will take the user further to the respective results page. In this case, only the studies including the specific keyword will be retrieved for each risk factor or measure (and not all the studies available for the risk factor or measure).

It should be kept in mind that the Keyword Search returns the lists of risk factors and measures taxonomy topics, in which the selected keyword is found among the original

keywords of one or more of the studies coded under each topic. If the specific keyword is not

found among the keywords of any of the studies coded under a taxonomy topic, the

taxonomy topic will not appear in the results (although in theory the topic may be related to the selected keyword).

Figure 5.3: Keyword Search example: Already as the word “pedestrians” was only partly typed in (“ped”), the system suggested various potential matches in the database; “PEDESTRIANS” was then selected from the list of suggestions.

5.3.2 Options 2 & 3: Searching for Risk Factors and Measures

Another entry point which can be selected is “Risk Factors”, the SafetyCube taxonomy of crash risks will open, sorted by the domains “Road User”, “Infrastructure” and “Vehicle” (as

SafetyCube taxonomy of road safety measures would appear, including, in addition to the three domains, a fourth domain on “Post Impact Care” (as shown in Figure 5.5). Selecting one of the taxonomy entries will take the user further to the respective results page (Results Pages are described in section 5.4).

Figure 5.4: Risk Factors Search example: the SafetyCube taxonomy of crash risks on the DSS, with the three available pillars of “Behavior”, “Infrastructure” and “Vehicle”.

Figure 5.5. Measures Search example: the SafetyCube taxonomy of road safety measures on the DSS, with the previous three pillars plus “Post Impact Care”.

5.3.3 Option 4: Searching for Road User Groups

In addition to the previous, there is also the option to use a “Road User Groups” as an entry point, as shown in Figure 5.6. This is essentially a focused keyword search, and can serve as a shortcut to the results concerning risks factors or measures specifically related to a Road

User Group. This function can be particularly useful when a stakeholder intends to design or intervene in an area with a particular group in mind, e.g. cyclists.

Figure 5.6. Road User Group Search example: By choosing ‘pedestrian’ from the list, the system responds with SafetyCube taxonomies on risk factors & measures specific to pedestrians.

The system similarly responds with appropriate subsets of risk and measure taxonomies – in relation to that road user group – for further selection. Selecting one of the two taxonomy entries will lead to the respective results page (described in in section 5.4). The results, as in the case of the “keyword” search, include only the studies concerning the specific road user group (and not all the studies available for this risk or measure).

The available road user groups are the following: Cyclists LGV / Van Bus Pedestrians HGV / Truck PTW Passenger Car

5.3.4 Option 5: Searching for Accident Categories

The final search option consists of searching for Accident Categories, as shown in Figure 5.7. This is somewhat similar to the previous option, in that it constitutes a shortcut for crash risks or road safety measures pertinent to a specific accident category. The system will then

relation to that accident category – for further selection. Selecting one of the two taxonomy entries will take the user further to the respective results page (described in section 5.4).

Figure 5.7: Road User Group Search example: By choosing ‘pedestrian’ from the list, the system responds with SafetyCube taxonomies on risk factors & measures specific to pedestrians.

The available accident categories are the following: Pedestrian Accident

Bicyclist Accident Single Vehicle Accident

Head-on Collision / On-coming Traffic Read-end Collision / Same Direction Traffic Junction Accident (No Turning)

Junction Accident (Turning) Railway Crossing