Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings

Dunlop, Mark D and Roper, Marc and Elliott, Mark and McCartan, Rebecca and McGregor, Bruce (2016) Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings. In: Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX. ACM, New York, pp. 14-18. ISBN 978-1-4503-4194-3

Text (Dunlop-etal-SEACHI-2016-Using-smartphones-in-cities-to-crowdsource-dangerous-road)
Dunlop_etal_SEACHI_2016_Using_smartphones_in_cities_to_crowdsource_dangerous_road.pdf - Accepted Author Manuscript

Download (298kB) | Preview


The widespread day-to-day carrying of powerful smartphones gives opportunities for crowd-sourcing information about the users' activities to gain insight into patterns of use of a large population in cities. Here we report the design and initial investigations into a crowdsourcing approach for sudden decelerations to identify dangerous road sections. Sudden brakes and near misses are much more common than police reportable accidents but under exploited and have the potential for more responsive reaction than waiting for accidents. We also discuss different multimodal feedback conditions to warn drivers approaching a dangerous zone. We believe this crowdsourcing approach gives cost and coverage benefits over infrastructural smart-city approaches but that users need incentivized for use.