Town Planning

Informing decisions and measuring impact using big data

introduction

Insights can be derived from mobile network data to inform the planning decisions taken by planners, developers and housing corporations, who seek to deliver new homes to specific demographic bands in target geographies.

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use cases

demographic analysis

Analysis of age and gender of people impacted by planning decisions

home + work analysis

analysis of changes to home and work locations over time

baseline analysis

Establishing a baseline from which the impact of planning decisions can be measured

Behavioural habits + patterns

Analsysis of journey patterns impacted by planning decisions

baseline analysis

Establishing a baseline from which the impact of planning decisions can be measured

home + work analysis

analysis of changes to home and work locations over time

demographic analysis

Analysis of age and gender of people impacted by planning decisions

Use Cases

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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.