Sensing and Mining Urban Qualities in Smart Cities

Abstract

This is a repository copy of Sensing and Mining Urban Qualities in Smart Cities.

Advancing sustainability: Using smartphones to study environmental behavior in a field-experimental setup

“…GPS record triggers question: "What are you doing here?" [27,41,45]). And there are studies that rely entirely on smartphone-based self-monitoring.…”

“…Experimental sensing-data collection apps have been specifically developed for such purpose, such as RecordMe [7] or UBhave [29]. Studies that involve experiments are often studies where the smartphone application/some IT system itself [18] is tested or where the "intervention" is in the external environment [27]. Less common are studies where the smartphone application is used to issue an experimental intervention in the data collection process in order to incite behavioral changes.…”

BikeWay: A Multi-Sensory Fuzzy-Based Quality Metric for Bike Paths and Tracks in Urban Areas

“…In a different context, the authors in [15] considered different variables to define a general metric to assess the perceptual quality of a city for its inhabitants. For that, three major groups of data were considered as input: environmental data, location/mobility data and perceptual social data.…”

“…However, to the best of our knowledge, no metric has been proposed to assess the quality of bike paths when concerning the adverse conditions that may impact the health and safety of cyclists. The proposed BikeWay metric defines different input variables, as in [12], [15], also defining some reference quality levels, as in [16]. Additionally, the proposed metric may also exploit sensors to retrieve important data, as in [13].…”

Cross-disciplinary higher education of data science – beyond the computer science student

“…The group formation trend is that students either form teams with colleagues they know from their own study program or they are more comfortable when they work together with Table 3 Students' projects and diversity in their educational direction However there are some exceptions worth mentioning and discussing. For instance, Project 11 has been a challenging project, though very successful and resulted in a prestigious scientific publication in conference proceedings [22]. This project was conducted by an architect and two mechanical engineers and involved an advanced data collection process in the context of smart cities using mobile phones, wearables and several environmental sensors carried by participants in the study.…”