Exploiting Fitness Apps for Sustainable Mobility - Challenges Deploying the GoEco! App
Dominik Bucher, Francesca Cellina, Francesca Mangili, Martin Raubal, Roman Rudel, Andrea Emilio Rizzoli, Omar Elabed
Available Online August 2016.
- https://doi.org/10.2991/ict4s-16.2016.11How to use a DOI?
- Mobility tracking; Fitness App; Transport Mode
- The large interest in analyzing one's own fitness led to the development of more and more powerful smartphone applications. Most are capable of tracking a user's position and mode of locomotion, data that do not only reflect personal health, but also mobility choices. A large field of research is concerned with mobility analysis and planning for a variety of reasons, including sustainable transport. Collecting data on mobility behavior using fitness tracker apps is a tempting choice, because they include many of the desired functions, most people own a smartphone and installing a fitness tracker is quick and convenient. However, as their original focus is on measuring fitness behavior, there are a number of difficulties in their usage for mobility tracking. In this paper we denote the various challenges we faced when deploying GoEco! Tracker (an app using the Moves R fitness tracker to collect mobility measurements), and provide an analysis on how to best overcome them. Finally, we summarize findings after one month of large scale testing with a few hundred users within the GoEco! living lab performed in Switzerland.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Dominik Bucher AU - Francesca Cellina AU - Francesca Mangili AU - Martin Raubal AU - Roman Rudel AU - Andrea Emilio Rizzoli AU - Omar Elabed PY - 2016/08 DA - 2016/08 TI - Exploiting Fitness Apps for Sustainable Mobility - Challenges Deploying the GoEco! App BT - ICT for Sustainability 2016 PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/ict4s-16.2016.11 DO - https://doi.org/10.2991/ict4s-16.2016.11 ID - Bucher2016/08 ER -