Healthcare

introduction

The catchment area of an A&E department, or hospital, can be captured using mobile network data. Visits to specific areas of the hospital can be detected by deploying small cells, which provide insights at a more granular level.

The itineraries of detected users can also be assessed over a number of days, using clustering algorithms, to better understand drivers of demand.

This analysis can help inform resource planning for hospital departments, based on a range of inputs, including weather, events and other potential drivers of demand for services.

Get in touch

Thank you! Your submission has been received!

CLOSE

Sorry, there seems to have been a problem, please check for problems.

use cases

home + work location analysis

Analysis by day of week of home and work location of hospital visitors

demand driver analysis

identification of drivers of demand e.g. attendance at events

Catchment area analysis

Analysis of the journeys to and from the hospital, including mode share

Catchment area analysis

Analysis of the journeys to and from the hospital, including mode share

demand driver analysis

identification of drivers of demand e.g. attendance at events

home + work location analysis

Analysis by day of week of home and work location of hospital visitors

Use Cases

No items found.

No items found.

This research is intended to provide a better foundation for the scope, refinement and integrity of our current practice - allowing us to work more credibly and expand into new sectors while continuing to adopt the latest techniques available. We are already working with a number of organisations in our research efforts.

Publications

  • Lovreglio, R, Kuligowski, E, Gwynne, S, Boyce, K, A Pre-Evacuation Database for Use in Egress Simulations, Fire Safety Journal, 2019 (in Print).
  • Intini, P, Ronchi, E, Gwynne, S and Pel, S, Traffic Modeling for Wildland–Urban Interface Fire Evacuation,  J. Transp. Eng., Part A:Systems, 2019, 145 (3): 04019002
  • Gwynne, SMV and Hunt, ALE, Testing Evacuation Models, Pedestrian and Evacuation Dynamics, 2018.
  • Gwynne, SMV and Hunt, ALE, Deducing the Impact of Excluding Social Groups When Modelling Pedestrian Flow, SFPE EXTRA, 30, June 2018.
  • Gwynne, SMV, The Unintended Consequences of Ignoring Evacuee Response, Fire and Evacuation Modeling Technical Conference (FEMTC) 2018, Gaithersburg, MD, USA, 2018.

  • Ronchi, E., Kuligowski, E. & Gwynne, S. Fire Technol (2019) 55: 387. https://doi.org/10.1007/s10694-018-0807-y
  • Gwynne,S.M.V., Hunt, A.L.E., Thomas, J.R.,Thompson,A.J.L. and Séguin,L., The toilet paper: Bathroom dwell time observations at an airport,Journal of Building Engineering, 24,2019, 100751.
  • Gwynne, SMV, Ouellette,J, Brown, R and Kinateder, M Developing a Notation for Mapping Evacuee Performance, Interflam 2019,Interscience, 2019.
  • Johansson, A, Ronchi, E, Gwynne, SMV, Thompson, A, and Thomas, JR, Quantifying the Impact of Luggage on Aircraft Deplaning Scenarios, Interflam 2019, Interscience, 2019.
  • Kinsey, M, Gwynne, SMV, and Kinateder, M, Burning Biases: Mitigating Cognitive Biases in Fire Engineering, Interflam 2019,Interscience, 2019.
  • Gwynne, SMV, Modelling and Mapping Wildfire Evacuation, Keynote Presentation, IFireSS 2019, Ottawa, Canada, 2019.

References
[1]
 http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=8967276&fileOId=8967283
[2] https://www.sciencedirect.com/science/article/pii/S0379711218302212
[3] https://www.nfpa.org/News-and-Research/Resources/Fire-Protection-Research-Foundation/Current-projects/WUINITY-a-platform-for-the-simulation-of-wildlandurban-interface-fire-evacuation

Related case studies

  We are seeking to collaborate with organisations engaged in research.
If you wish to discuss potential research opportunities, please contact Dr. Steve Gwynne.