Various portable sensors, smartphone apps, wearable devices, and user-generated data, along with traditional survey methods, are now widely used to understand mobility and activity in urban areas.
Following the work of the completed Integrated Multimedia City Data (iMCD) project to understand urban life in Glasgow, we will explore how human mobility patterns can be better understood by integrating data from different sources including portable sensors, mobile phone data and mobility app data. We will use spatial analysis, statistics, and GIS methods to achieve the overarching research goals.
Aims and objectives
This project has the following objectives:
- To review the suitability (cost, ease of use, technical performance) of a range of sensors/apps for the capture of personal mobility, travel mode, air pollution exposure and energy use data
- To further understand the ethical issues surrounding linked sensor-survey applications and explore data privacy solutions
- To test a wide range of different sensors and protocols by pilot deployment with individual volunteers.
Team: Dr Varun Raturi
- Paper: Thakuriah, P. (Vonu), Sila-Nowicka, K., Hong, J., Boididou, C., Osborne, M., Lido, C., & McHugh, A. (2020). Integrated Multimedia City Data (iMCD): A composite survey and sensing approach to understanding urban living and mobility. Computers, Environment and Urban Systems, 80, 101427.
- Paper: Yabiku, S., Glick, J., Wentz, E., Ghimire, D., & Zhao, Q. (2017). Comparing Paper and Tablet Modes of Retrospective Activity Space Data Collection. Survey Research Methods, Vol 11, 329-344 Pages.