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2.2 Problem Mapping

In this step we literally wanted to “map” potentially problematic areas in the neighborhood, and to this am we employed a collaborative online map editor. In this tool, overlaps and location pictures indicated the most degraded areas (see Figure 2). Spots indicated human and material resources and the indicative timeline of the intervention.

Fig. 2. Google maps engine collaborative work time sensitive map, Google timeline map diagram of future interventions and clara.io 3d open editor

To this regard, our next research will be aimed at employing 4D models, that is, visual representations of the evolution of the 3D model over time from inception to its completion. The potential of 4D modeling is still untapped, especially for its capability to link designs and maps with timeor schedule-related information. To this aim, we will implement a mashup of different open-source tools, like Google Map timeline, and the data sets collected in this user study.

2.3 Online Survey

In this step we designed, tested and deployed an online questionnaire to probe prospective users about potential uses, perceived lack of services, and other usually hard to pinpoint factors such as familiarity with new technologies, sense of neighborhood belonging and conviviality. To this aim the Limesurvey platform was used for its flexibility and power, as we needed to integrate in some of the questionnaire pages interactive maps. These latter interactive maps were used: to ask the survey respondents to insert points of interest in terms of “flags”, to indicate potential areas of interventions or lack of services (to be chosen in a predefined list of essential city services); draw polygonal maps, both to circumscribe vaster areas of interventions and to probe the respondents' knowledge of the neighborhood borders; and choose between alternative solutions and pictures of the city surroundings, to understand which places were considered more enjoyable and which more deteriorated, like in the Urbanopticon project [3]. As the survey is still open, we are collecting new responses on a daily basis. So far, we have collected 56 complete questionnaires, while other tens of unfinished questionnaires (i.e., filled in only partially) were used to extract some useful indication nevertheless.

Fig. 3. Screenshots from the online questionnaire. On the left, an example of picture selection; in the middle an example of area drawing, and on the right, of insertion of points of interest.

 
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