Transport

Data analytics to drive smarter decision making across the transport sector

introduction

Transport modelling has traditionally relied on time-intensive data collection methods. Data collected from cellular and Wi-Fi networks, GPS data and other sensors, can be used to derive a rich array of insights into the movement pattern and behaviour of people within regions, along transport corridors and within rail and metro stations and airports.

We apply our consulting heritage in the transport sector and our experience in cleaning and processing large data sets to provide clients with relevant insights using innovative methodologies and tools.

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use cases

Last mile analysis

detection of last mile travel patterns e.g. trips to/from a station

train franchise bids

market analysis to support franchise bid submissions

OD Matrices

development of origin and destination matrices for transport models

performance metrics

Capturing key metrics for transport hubs and services

OD Matrices

development of origin and destination matrices for transport models

train franchise bids

market analysis to support franchise bid submissions

Last mile analysis

detection of last mile travel patterns e.g. trips to/from a station

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.