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Daniel Nilsson
Daniel Nilsson
Professor, Civil and Natural Resources Engineering, University of Canterbury
Verified email at canterbury.ac.nz - Homepage
Title
Cited by
Cited by
Year
Virtual reality for fire evacuation research
M Kinateder, E Ronchi, D Nilsson, M Kobes, M Müller, P Pauli, ...
2014 federated conference on computer science and information systems, 313-321, 2014
3382014
Social influence during the initial phase of a fire evacuation—Analysis of evacuation experiments in a cinema theatre
D Nilsson, A Johansson
Fire safety journal 44 (1), 71-79, 2009
2812009
Fire evacuation in high-rise buildings: a review of human behaviour and modelling research
E Ronchi, D Nilsson
Fire science reviews 2, 1-21, 2013
2802013
Fire evacuation in underground transportation systems: a review of accidents and empirical research
K Fridolf, D Nilsson, H Frantzich
Fire technology 49 (2), 451-475, 2013
2342013
Evacuation experiment in a road tunnel: A study of human behaviour and technical installations
D Nilsson, M Johansson, H Frantzich
Fire Safety Journal 44 (4), 458-468, 2009
2082009
Movement speed and exit choice in smoke-filled rail tunnels
K Fridolf, E Ronchi, D Nilsson, H Frantzich
Fire safety journal 59, 8-21, 2013
2072013
A virtual reality experiment on flashing lights at emergency exit portals for road tunnel evacuation
E Ronchi, D Nilsson, S Kojić, J Eriksson, R Lovreglio, H Modig, AL Walter
Fire technology 52, 623-647, 2016
1912016
The process of verification and validation of building fire evacuation models
E Ronchi, ED Kuligowski, PA Reneke, RD Peacock, D Nilsson
National Institute of Standards and Technology, 2013
1732013
A model of the decision-making process during pre-evacuation
R Lovreglio, E Ronchi, D Nilsson
Fire Safety Journal 78, 168-179, 2015
1572015
Exit choice in fire emergencies-Influencing choice of exit with flashing lights
D Nilsson
1462009
An Evacuation Decision Model based on perceived risk, social influence and behavioural uncertainty
R Lovreglio, E Ronchi, D Nilsson
Simulation Modelling Practice and Theory 66, 226-242, 2016
1442016
Evacuation experiments in a virtual reality high‐rise building: exit choice and waiting time for evacuation elevators
K Andrée, D Nilsson, J Eriksson
Fire and Materials 40 (4), 554-567, 2016
1392016
Comparing the effectiveness of fire extinguisher virtual reality and video training
R Lovreglio, X Duan, A Rahouti, R Phipps, D Nilsson
Virtual Reality 25 (1), 133-145, 2021
1372021
A tunnel evacuation experiment on movement speed and exit choice in smoke
E Ronchi, K Fridolf, H Frantzich, D Nilsson, AL Walter, H Modig
Fire safety journal 97, 126-136, 2018
1332018
Modelling and interpreting pre-evacuation decision-making using machine learning
X Zhao, R Lovreglio, D Nilsson
Automation in Construction 113, 103140, 2020
1182020
Evacuation models are running out of time
P Thompson, D Nilsson, K Boyce, D McGrath
Fire Safety Journal 78, 251-261, 2015
1112015
Dissuasive exit signage for building fire evacuation
J Olander, E Ronchi, R Lovreglio, D Nilsson
Applied ergonomics 59, 84-93, 2017
1102017
Modelling total evacuation strategies for high-rise buildings
E Ronchi, D Nilsson
Building Simulation 7, 73-87, 2014
1082014
Way-finding lighting systems for rail tunnel evacuation: A virtual reality experiment with Oculus Rift®
G Cosma, E Ronchi, D Nilsson
Journal of Transportation Safety & Security 8 (sup1), 101-117, 2016
1072016
The impact of smoke on walking speed
K Fridolf, K Andrée, D Nilsson, H Frantzich
Fire and Materials 38 (7), 744-759, 2014
1032014
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