Sari Aslam, Nil;
Zhong, Chen;
Wang, Yikang;
(2024)
Managing Variability: A sensitivity analysis approach applied to mobile app data.
In:
Proceedings of the 32nd Annual GIS Research UK Conference (GISRUK).
GISRUK: Leeds, UK.
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Abstract
Mobile app data provides accurate spatial and temporal details to present human trajectories. Recognising the challenges posed by the inherent variability and large volume of data, the research refines data processing techniques through the application of sensitivity analysis, explicitly using distance parameters in activity detection. The mobility indicator, activity disintegration (AD), is introduced to present the effectiveness of the model using sequential, spatial, and temporal search from individual mobile app trajectories. The results demonstrate how AD varies in different thresholds and cities in urban mobility analysis.
| Type: | Proceedings paper |
|---|---|
| Title: | Managing Variability: A sensitivity analysis approach applied to mobile app data |
| Event: | 32nd Annual GIS Research UK Conference (GISRUK) |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5281/zenodo.10931749 |
| Publisher version: | https://zenodo.org/doi/10.5281/zenodo.10931748 |
| Language: | English |
| Additional information: | cc-by-4.0 icon Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited |
| Keywords: | Stay locations, activity identification, sensitivity analysis, urban mobility, mobile app data. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10190748 |
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