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Professor Daniel Nilsson

Contact

Department: Civil and Natural Resources Engineering

Email: daniel.nilsson@canterbury.ac.nz

Office:

Languages: English, German, Swedish

About
Research / Creative works
Projects
Methods & Equipment

Fields of Research

  • Human Behaviour in Fire
  • Emergency Evacuation
  • Way-finding Systems
  • Emergency Notification Systems
  • Evacuation Modelling
  • Pedestrian Dynamics

Researcher Summary

My area of expertise is Evacuation, and my main interest is the interaction between people and evacuation systems, e.g., way-finding systems and notification systems. Recent studies have involved evaluation of both visual and auditory way-finding systems in smoke filled tunnels, as well as studies on the design of fire alarms and way-finding systems in high-rise buildings. The research has involved both laboratory and field evacuation experiments, and most recently I have been involved in the development of Virtual Reality laboratory evacuation experiments. I am currently in charge of the development of a state-of-the-art Virtual Reality evacuation laboratory at CNRE. This laboratory will feature such technology as Head Mounted Displays (HMD) with eye track, and optical motion capture equipment.

Subject Area: Disciplines

  • Engineering and Technology: Fire Engineering

Resources

  • LinkedIn

Prizes and Awards

Displaying all items.
  • Docent - Fire Safety Engineering ( 2013 - present )
  • Excellent Teaching Practitioner (ETP) ( 2010 - present )
  • Teacher of the year 2018 - Fire Protection Engineering ( 2018 - present )

Research/Scholarly/Creative Works

Journal Articles
  • Xu N., Lovreglio R., Kuligowski ED., Cova TJ., Nilsson D. and Zhao X. (2023) Predicting and Assessing Wildfire Evacuation Decision-Making Using Machine Learning: Findings from the 2019 Kincade Fire. Fire Technology 59(2): 793-825. http://dx.doi.org/10.1007/s10694-023-01363-1.
  • Arias S., Mossberg A., Nilsson D. and Wahlqvist J. (2022) A Study on Evacuation Behavior in Physical and Virtual Reality Experiments. Fire Technology 58(2): 817-849. http://dx.doi.org/10.1007/s10694-021-01172-4.
  • Kuligowski ED., Zhao X., Lovreglio R., Xu N., Yang K., Westbury A., Nilsson D. and Brown N. (2022) Modeling evacuation decisions in the 2019 Kincade fire in California. Safety Science 146 http://dx.doi.org/10.1016/j.ssci.2021.105541.
  • MacIntyre JD., Abu AK., Moss PJ., Nilsson D. and Wade CA. (2022) A review of methods for determining structural fire severity—Part I: A historical perspective. Fire and Materials 46(1): 153-167. http://dx.doi.org/10.1002/fam.2962.
  • MacIntyre JD., Abu AK., Moss PJ., Nilsson D. and Wade CA. (2022) A review of methods for determining structural fire severity—Part II: Analysis and review. Fire and Materials 46(1): 138-152. http://dx.doi.org/10.1002/fam.2961.
  • Mossberg A., Nilsson D. and Frantzich H. (2022) Evaluating new evacuation systems related to human behaviour using a situational awareness approach – A study of the implementation of evacuation elevators in an underground facility. Fire Safety Journal 134 http://dx.doi.org/10.1016/j.firesaf.2022.103693.
  • Thompson P., Tavana H., Goulding C., Frantzich H., Boyce K., Nilsson D., Larsson G., Friholm J. and McGrath D. (2022) Experimental analyses of step extent and contact buffer in pedestrian dynamics. Physica A: Statistical Mechanics and its Applications 593 http://dx.doi.org/10.1016/j.physa.2022.126927.
  • Wu A., Yan X., Kuligowski E., Lovreglio R., Nilsson D., Cova TJ., Xu Y. and Zhao X. (2022) Wildfire evacuation decision modeling using GPS data. International Journal of Disaster Risk Reduction 83 http://dx.doi.org/10.1016/j.ijdrr.2022.103373.
  • Xu Y., Zhao X., Lovreglio R., Kuligowski E., Nilsson D., Cova TJ. and Yan X. (2022) A highway vehicle routing dataset during the 2019 Kincade Fire evacuation. Scientific Data 9(1) http://dx.doi.org/10.1038/s41597-022-01731-6.
  • Zhao X., Xu Y., Lovreglio R., Kuligowski E., Nilsson D., Cova TJ., Wu A. and Yan X. (2022) Estimating wildfire evacuation decision and departure timing using large-scale GPS data. Transportation Research Part D: Transport and Environment 107 http://dx.doi.org/10.1016/j.trd.2022.103277.
  • Arias S., Nilsson D. and Wahlqvist J. (2021) A virtual reality study of behavioral sequences in residential fires. Fire Safety Journal 120 http://dx.doi.org/10.1016/j.firesaf.2020.103067.
  • Arias S., Wahlqvist J., Nilsson D., Ronchi E. and Frantzich H. (2021) Pursuing behavioral realism in Virtual Reality for fire evacuation research. Fire and Materials 45(4): 462-472. http://dx.doi.org/10.1002/fam.2922.
  • Lovreglio R., Duan X., Rahouti A., Phipps R. and Nilsson D. (2021) Comparing the effectiveness of fire extinguisher virtual reality and video training. Virtual Reality 25(1): 133-145. http://dx.doi.org/10.1007/s10055-020-00447-5.
  • Mossberg A., Nilsson D. and Andrée K. (2021) Unannounced Evacuation Experiment in a High-Rise Hotel Building with Evacuation Elevators: A Study of Evacuation Behaviour Using Eye-Tracking. Fire Technology 57(3): 1259-1281. http://dx.doi.org/10.1007/s10694-020-01046-1.
  • Mossberg A., Nilsson D. and Wahlqvist J. (2021) Evacuation elevators in an underground metro station: A Virtual Reality evacuation experiment. Fire Safety Journal 120 http://dx.doi.org/10.1016/j.firesaf.2020.103091.
  • Rahouti A., Lovreglio R., Nilsson D., Kuligowski E., Jackson P. and Rothas F. (2021) Investigating Evacuation Behaviour in Retirement Facilities: Case Studies from New Zealand. Fire Technology 57(3): 1015-1039. http://dx.doi.org/10.1007/s10694-020-01058-x.
  • Zhao X., Lovreglio R., Kuligowski E. and Nilsson D. (2021) Using Artificial Intelligence for Safe and Effective Wildfire Evacuations. Fire Technology 57(2): 483-485. http://dx.doi.org/10.1007/s10694-020-00979-x.
  • Zhao X., Lovreglio R. and Nilsson D. (2020) Modelling and interpreting pre-evacuation decision-making using machine learning. Automation in Construction 113 http://dx.doi.org/10.1016/j.autcon.2020.103140.
  • Arias S., Fahy R., Ronchi E., Nilsson D., Frantzich H. and Wahlqvist J. (2019) Forensic virtual reality: Investigating individual behavior in the MGM Grand fire. Fire Safety Journal 109 http://dx.doi.org/10.1016/j.firesaf.2019.102861.
  • Arias S., La Mendola S., Wahlqvist J., Rios O., Nilsson D. and Ronchi E. (2019) Virtual Reality Evacuation Experiments on Way-Finding Systems for the Future Circular Collider. Fire Technology 55(6): 2319-2340. http://dx.doi.org/10.1007/s10694-019-00868-y.
  • Forssberg M., Kjellström J., Frantzich H., Mossberg A. and Nilsson D. (2019) The Variation of Pre-movement Time in Building Evacuation. Fire Technology 55(6): 2491-2513. http://dx.doi.org/10.1007/s10694-019-00881-1.
  • Fridolf K., Ronchi E., Nilsson D. and Frantzich H. (2019) The representation of evacuation movement in smoke-filled underground transportation systems. Tunnelling and Underground Space Technology 90: 28-41. http://dx.doi.org/10.1016/j.tust.2019.04.016.
  • Ronchi E., Mayorga D., Lovreglio R., Wahlqvist J. and Nilsson D. (2019) Mobile-powered head-mounted displays versus cave automatic virtual environment experiments for evacuation research. Computer Animation and Virtual Worlds 30(6) http://dx.doi.org/10.1002/cav.1873.
  • Nilsson D., Frantzich H., Ronchi E., Fridolf K., Walter AL. and Modig H. (2018) Integrating evacuation research in large infrastructure tunnel projects -Experiences from the Stockholm Bypass Project. Fire Safety Journal 97: 119-125. http://dx.doi.org/10.1016/j.firesaf.2017.07.001.
  • Ronchi E., Fridolf K., Frantzich H., Nilsson D., Walter AL. and Modig H. (2018) A tunnel evacuation experiment on movement speed and exit choice in smoke. Fire Safety Journal 97: 126-136. http://dx.doi.org/10.1016/j.firesaf.2017.06.002.
  • Sano T., Ronchi E., Minegishi Y. and Nilsson D. (2018) Modelling pedestrian merging in stair evacuation in multi-purpose buildings. Simulation Modelling Practice and Theory 85: 80-94. http://dx.doi.org/10.1016/j.simpat.2018.04.003.
  • Gwynne SMV., Kuligowski ED., Boyce KE., Nilsson D., Robbins AP., Lovreglio R., Thomas JR. and Roy-Poirier A. (2017) Enhancing egress drills: Preparation and assessment of evacuee performance. Fire and Materials.
  • Nilsson D. (2017) Panic in fire emergencies – Myth or reality? SFPE Europe 4 8.
  • Nilsson D., Frantzich H., Ronchi E. and Fridolf K. (2017) The process of designing emergency exit portals for road tunnel evacuation. SFPE Europe 1 5.
  • Olander J., Ronchi E., Lovreglio R. and Nilsson D. (2017) Dissuasive exit signage for building fire evacuation. Applied ergonomics 59: 84-93.
  • Sano T., Ronchi E., Minegishi Y. and Nilsson D. (2017) A pedestrian merging flow model for stair evacuation. Fire Safety Journal 89: 77-89.
  • Andrée K., Nilsson D. and Eriksson J. (2016) Evacuation experiments in a virtual reality high-rise building: exit choice and waiting time for evacuation elevators. Fire and Materials 40 4: 554-567.
  • Cosma G., Ronchi E. and Nilsson D. (2016) Way-finding lighting systems for rail tunnel evacuation: A virtual reality experiment with Oculus Rift¯. Journal of Transportation Safety & Security 8 sup1: 101-117.
  • Fridolf K., Nilsson D. and Frantzich H. (2016) Evacuation of a metro train in an underground rail transportation system: flow rate capacity of train exits, tunnel walking speeds and exit choice. Fire technology 52 5: 1481-1518.
  • Lovreglio R., Ronchi E. and Nilsson D. (2016) An Evacuation Decision Model based on perceived risk, social influence and behavioural uncertainty. Simulation Modelling Practice and Theory 66: 226-242.
  • Ronchi E., Kuligowski ED., Nilsson D., Peacock RD. and Reneke PA. (2016) Assessing the verification and validation of building fire evacuation models. Fire technology 52 1: 197-219.
  • Ronchi E., Nilsson D., Kojić S., Eriksson J., Lovreglio R., Modig H. and Walter AL. (2016) A virtual reality experiment on flashing lights at emergency exit portals for road tunnel evacuation. Fire technology 52 3: 623-647.
  • Ronchi E., Nilsson D., Modig H. and Walter AL. (2016) Variable Message Signs for road tunnel emergency evacuations. Applied ergonomics 52: 253-264.
  • Lovreglio R., Ronchi E. and Nilsson D. (2015) A model of the decision-making process during pre-evacuation. Fire Safety Journal 78: 168-179.
  • Lovreglio R., Ronchi E. and Nilsson D. (2015) Calibrating floor field cellular automaton models for pedestrian dynamics by using likelihood function optimization. Physica A: Statistical Mechanics and its Applications 438: 308-320.
  • Thompson P., Nilsson D., Boyce K. and McGrath D. (2015) Evacuation models are running out of time. Fire Safety Journal 78: 251-261.
  • Ahlfont J., Nilsson D. and others. (2014) The Effect of Raised Walkway Design on Evacuation Behaviour in Rail Tunnels. Fire Safety Science 11: 1091-1102.
  • Fridolf K., Andrée K., Nilsson D. and Frantzich H. (2014) The impact of smoke on walking speed. Fire and Materials 38 7: 744-759.
  • Fridolf K., Nilsson D. and Frantzich H. (2014) The flow rate of people during train evacuation in rail tunnels: effects of different train exit configurations. Safety science 62: 515-529.
  • Ronchi E. and Nilsson D. (2014) Modelling total evacuation strategies for high-rise buildings. Building Simulation 7 1: 73-87.
  • Bengtsson M., Nordquist B., Thelander C., Toth-Szabo Z., Becker P. and Nilsson D. (2013) A study of supervision approaches. The needs of doctoral supervision from a student perspective. Lärande i LTH.
  • Fridolf K., Nilsson D. and Frantzich H. (2013) Fire Evacuation in Underground Transportation Systems: A Review of Accidents and Empirical Research. Fire Technology 49(2): 451-475. http://dx.doi.org/10.1007/s10694-011-0217-x.
  • Fridolf K., Ronchi E., Nilsson D. and Frantzich H. (2013) Movement speed and exit choice in smoke-filled rail tunnels. Fire Safety Journal 59: 8-21.
  • Ronchi E. and Nilsson D. (2013) Fire evacuation in high-rise buildings: a review of human behaviour and modelling research. Fire science reviews 2 1: 7-7.
  • Gwynne S., Kuligowski E. and Nilsson D. (2012) Representing evacuation behavior in engineering terms. Journal of Fire Protection Engineering 22 2: 133-150.
  • Ronchi E., Nilsson D. and Gwynne SMV. (2012) Modelling the impact of emergency exit signs in tunnels. Fire Technology 48 4: 961-988.
  • Fridolf K. and Nilsson D. (2011) People’s subjective estimation of fire growth: An experimental study of young adults. Fire safety science 10: 161-172.
  • Nilsson A. (2011) Design of Evacuation Systems for Elevator Evacuation in High-Rise Buildings. Journal of Disaster Research 6 6: 600-609.
  • Nilsson D. and Fridolf K. (2010) Utrymning av tunnelbanor: Faktorer att beakta vid utformning av brandskyddet. Bygg & teknik 6/10 6 10: 45-48.
  • Nilsson D. (2009) Utformning av utrymningssystem: När designen kan vara skillnaden mellan liv och död. Bygg & teknik 6 9: 25-26.
  • Nilsson D. and Johansson A. (2009) Social influence during the initial phase of a fire evacuation—Analysis of evacuation experiments in a cinema theatre. Fire Safety Journal 44 1: 71-79.
  • Nilsson D., Johansson M. and Frantzich H. (2009) A study of human behaviour and technical installations in the event of fire by means of an evacuation experiment in a road tunnel.. Fire Safety Journal 44: 458-468.
  • Nilsson D., Johansson M. and Frantzich H. (2009) Evacuation experiment in a road tunnel: A study of human behaviour and technical installations. Fire Safety Journal 44 4: 458-468.
  • Nilsson DANIEL., Frantzich H. and Saunders WL. (2008) Influencing exit choice in the event of a fire evacuation. Fire Safety Science 9: 341-352.
  • Nilsson D. (2006) Nödutgångar – Varför används de inte? Bygg & teknik 6 6: 48-50.
  • Nilsson D., Frantzich H. and Saunders WL. (2005) Coloured flashing lights to mark emergency exits-experiences from evacuation experiments. Fire Safety Science 8: 569-579.
  • Nilsson D. (2003) Utrymningssäkerhet i tunnlar: Erfarenheter från utrymningsexperiment i rökfylld tunnel. Bygg & teknik 6 3: 43-47.
  • Mauss F. and Nilsson D. (2002) A comprehensive kinetic model for staged combustion of nitrogen doped fuels. Clean Air 3(1): 81-97. http://dx.doi.org/10.1080/15614410211847.
  • Løvås T., Nilsson D. and Mauss F. (2000) Automatic reduction procedure for chemical mechanisms applied to premixed methane/air flames. Proceedings of the Combustion Institute 28(2): 1809-1815. http://dx.doi.org/10.1016/s0082-0784(00)80583-4.
  • Nilsson D. (1999) Reduction of Complex Fuel Chemistry for Simulation of Combustion in an HCCI Engine. VDI Berichte (1492): 511-516.
  • Nilsson D. and Mauss F. (1997) Staged Combustion of Nitrogen Doped Fuels. VDI Berichte (1313): 413-418.
Conference Contributions - Published
  • Feng Z., Liu C., Gonzalez VA., Lovreglio R. and Nilsson D. (2022) Prototyping an immersive virtual reality training system for urban-scale evacuation using 360-degree panoramas. In IOP Conference Series: Earth and Environmental Science 1101(2) http://dx.doi.org/10.1088/1755-1315/1101/2/022037.
  • Carattin E., Lovreglio R., Ronchi E. and Nilsson D. (2016) Affordance-based evaluation of signage design for areas of refuge. In Interflam 2016. Fire Science and Engineering Conference: 781-786.
  • Fridolf K., Ronchi E., Frantzich H., Nilsson D., Lindgren Walter A. and Modig H. (2016) Full Scale Tunnel Evacuation Experiment to Determine Appropriate Emergency Exit Portal Designs in Road Tunnels. In 7th International Symposium on Tunnel Safety and Security, Montreal, Canada..
  • Gwynne SMV., Boyce KE., Kuligowski ED., Nilsson D., Robbins A. and Lovreglio R. (2016) Pros and cons of egress drills. In Interflam 2016.
  • Fridolf K., Ronchi E., Frantzich H. and Nilsson D. (2015) The Relationship between Obstructed and Unobstructed Walking Speed: Results from an Evacuation Experiment in a Smoke Filled Tunnel. In 6th International Symposium on Human Behaviour in Fire, Cambridge, UK.
  • Ingmarsson E., Pettersson I., Nilsson D. and Purser D. (2015) Estimating the number of people in buildings with data from ventilation systems. In 6th International Symposium on Human Behaviour in Fire, Cambridge, UK.
  • Lovreglio R., Ronchi E. and Nilsson D. (2015) A mixed-ordered Logit approach to investigate correlations among different affordances in fire evacuation. In 6th international symposium: Human Behaviour in Fire, 2015: 409-420.
  • Nilsson D. (2015) Design of fire alarms: Selecting appropriate sounds and messages to promote fast evacuation. In Sound, Safety and Society: 33-46.
  • Nilsson D. and Boyce K. (2015) Investigating Ethical Attitudes in Human Behaviour in Fire Research. In 6th International Symposium on Human Behaviour in Fire, Cambridge, UK.
  • Nilsson D. and Kinateder M. (2015) Virtual Reality Experiments - The future or a dead end? In 6th International Symposium on Human Behaviour in Fire, Cambridge, UK.
  • Thompson P., Nilsson D., McGrath D. and Boyce K. (2015) Exploring the Biomechanics of Walking and Crowd „Flow‟. In 6th International Symposium on Human Behaviour in Fire, Cambridge, UK.
  • Troncoso J., Nilsson D. and Ronchi E. (2015) Response to Emergency Way-finding Systems by People from Different Cultures. In 6th International Symposium on Human Behaviour in Fire, Cambridge, UK.
  • Kinateder M., Ronchi E., Nilsson D., Kobes M., Müller M., Pauli P. and Mühlberger A. (2014) Virtual reality for fire evacuation research. In Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on: 313-321.
  • Nilsson D. (2014) Interaction between people and evacuation systems in tunnels. In 6th International Symposium on Tunnel Safety and Security, Marseille, France.
  • Andree K., Kinateder M. and Nilsson D. (2013) Immersive Virtual Environment as a Method to experimentally study human behaviour in fire. In 13th International Conference and Exhibition on Fire Science and Engineering: 565-570.
  • Fridolf K., Andrée K., Nilsson D. and Frantzich H. (2013) The impact of smoke on walking speed. In Thirteenth International Interflam Conference, Interflam 2013 2: 955-965.
  • Ronchi E., Nilsson D., Zechlin O., Klein W. and Mayer H. (2013) Employing validation and verification tests as an integral part of evacuation model development.. In International Interflam Conference, Interflam 2013: 979-990.
  • Fridolf K., Nilsson D. and Frantzich H. (2012) Taking advantage of theories and models on human behaviour in the fire safety design of underground transportation systems. In Fifth International Symposium on Tunnel Safety and Security: 619-626.
  • Fridolf K., Nilsson D. and Frantzich H. (2012) Train evacuation inside a tunnel: an interview study with senior citizens and people with disabilities. In The 5th Human Behaviour in Fires international Symposium: 346-358.
  • Jönsson A., Andersson J. and Nilsson D. (2012) A risk perception analysis of elevator evacuation in high-rise buildings. In Proceedings of the 5th human behaviour in fire symposium, Cambridge (UK). Interscience Communication, London.
  • Nilsson D., Fridolf K. and Frantzich H. (2012) Design of Evacuation Systems in Underground Transport Systems. In Proceedings of the 5th International Symposium on Human Behaviour in Fire, Cambridge, UK: 483-494.
  • Gwynne S., Kuligowski E. and Nilsson D. (2010) Representing Egress behavior in engineering terms. In Proceedings of the 8th international conference on performance based codes and safety design methods. Lund University, Sweden 1618.
  • van Hees P. and Nilsson D. (2010) Simulation of critical evacuation conditions for fire scenarios involving cables and comparison of different cables. In INTERFLAM 2010 - Proceedings of the 12th international conference, Nottingham, UK: 1435-1441.
  • Frantzich H. and Nilsson D. (2009) Evacuation in complex buildings – An analysis of evacuation conditions in a nuclear power plant and a tunnel construction site. In Proceedings of the 4th International Symposium on Human Behaviour in Fire, Cambridge, UK: 207-218.
  • Nilsson D. (2009) Egress modelling – Capabilities and limitations. In 5th International Conference on Fire Safety Engineering: Performance Based Design in Buildings, Industry and Transport, Madrid, Spain..
  • Nilsson D. (2009) The complex system approach and egress modelling.. In Extended abstract for a workshop at the 9th International Symposium on Fire Safety Science, Karlsruhe, Germany.
  • NIlsson D. and Uhr C. (2009) Complex systems – A holistic approach for understanding and modelling fire evacuation behaviour. In Proceedings of the 4th International Symposium on Human Behaviour in Fire, Cambridge, UK: 525-530.
  • van Hees P. and Nilsson D. (2009) Simulation of critical evacuation conditions for fire scenarios involving cables and comparison of different cables.. In Extended abstract at the Europacable Seminar – Safety during Fire, Brussels, Belgium..
  • Frantzich H. and Nilsson D. (2006) Human behaviour in tunnel fires-reality and modelling. In 2nd International Symposium in Tunnel Safety and Security: 155-163.
  • Frantzich H. and Nilsson D. (2004) Evacuation experiments in a smoke filled tunnel. In 3rd international symposium on human behaviour in fire: 229-238.
  • Soyhan HS., Amnéus P., Lovås T., Nilsson D., Maigaard P., Mauss F. and Sorusbay C. (2000) Automatic reduction of detailed chemical reaction mechanisms for autoignition under SI engine conditions. In SAE Technical Papers http://dx.doi.org/10.4271/2000-01-1895.
Theses / Dissertations
  • Nilsson D. (2009) Exit choice in fire emergencies-Influencing choice of exit with flashing lights. PhD Thesis.
Chapters
  • Rød SK. and Nilsson D. (2021) Communicating Safety in Norwegian Road Tunnels: A Cocreational Perspective of Strategic Communication. The Handbook of Strategic Communication: 102-110. http://dx.doi.org/10.1002/9781118857205.ch8.
  • Ronchi E., Nilsson D., Lovreglio R., Register M. and Marshall K. (2021) The Impact of Physical Distancing on the Evacuation of Crowds. Modeling and Simulation in Science, Engineering and Technology: 133-156. http://dx.doi.org/10.1007/978-3-030-91646-6_6.
  • Ronchi E. and Nilsson D. (2019) Pedestrian Movement in Smoke: Theory, Data and Modelling Approaches. Crowd Dynamics, Volume 1 Theory, Models, and Safety Problems: 37-62.Springer.
  • Nilsson D. and Fahy R. (2016) Selecting scenarios for deterministic fire safety engineering analysis: life safety for occupants. SFPE Handbook of Fire Protection Engineering: 2047-2069.Springer, New York, NY.
  • Ronchi E. and Nilsson D. (2016) Basic Concepts and Modelling Methods. Evacuation Modeling Trends: 1-23.Springer.
  • Ronchi E. and Nilsson D. (2014) Assessment of Total Evacuation Systems for Tall Buildings. Springer Briefs in FireSpringer.
  • Nilsson D. and Frantzich H. (2011) Measurement techniques for unannounced evacuation experiments. Pedestrian and Evacuation Dynamics: 221-229.Springer, Boston, MA.
  • Nilsson D. and Frantzich H. (2010) Design of Voice Alarms—the Benefit of Mentioning Fire and the Use of a Synthetic Voice. Pedestrian and Evacuation Dynamics 2008: 135-144.Springer, Berlin, Heidelberg.
Reports
  • Frantzich H., Nilsson D. and Rød K. (2016) Utrymning och tekniska installationer i vägtunnlar med dubbelriktad trafik..
  • Fridolf K., Nilsson D., Frantzich H., Ronchi E. and Arias S. (2016) Människors Gånghastighet I Rök: Förslag till Representation Vid Brandteknisk Projektering [Human Walking Speed in Smoke: Recommendations for Representation in Fire Engineering Design]..
  • Ronchi E. and Nilsson D. (2016) A Virtual Reality experiment on the design of flashing lights at emergency exit portals for road tunnel evacuations.Department of Fire Safety Engineering and Systems Safety, Lund University.
  • Ronchi E. and Nilsson D. (2014) Interim Report: Flashing Lights for Road Tunnel Emergency Exit Portals-A Virtual Reality Experiment.Department of Fire Safety Engineering, Lund University, Sweden.
  • Ronchi E. and Nilsson D. (2014) Traffic Information Signs, colour scheme of emergency exit portals and acoustic systems for road tunnel emergency evacuations..
  • Ronchi E. and Nilsson D. (2013) Interim Report: Traffic Information Signs, Colour Scheme of Emergency Exit Portals and Acoustic Systems for Road Tunnel Emergency Evacuations..
  • Ronchi E., Kuligowski ED., Reneke PA., Peacock RD. and Nilsson D. (2013) The process of verification and validation of building fire evacuation models.National Institute of Standards and Technology.
  • Ronchi EP. and Nilsson D. (2013) Assessment of total evacuation systems for tall buildings: Literature Review..
  • Fridolf K. and Nilsson D. (2012) A questionnaire study about fire safety in underground rail transportation systems.Department of Fire Safety Engineering and Systems Safety.
  • Ingason H., Kumm M., Nilsson D., Lönnermark A., Claesson A., Li YZ., Fridolf K., Åkerstedt R., Nyman H. and Dittmer T. (2012) The METRO project–Final Report 2010: 08..
  • Ronchi E. and Nilsson D. (2012) Fire Evacuation in High-Rise Buildings: A Review on Human Behaviour and Modelling Research..
  • Becker P., Bengtsson M., Nilsson D., Nordquist B., Thelander C. and Olofsson Z. (2010) Approaches to doctoral supervision in relation to student expectations: Project report for the Docent course at LTH, Lund, Sweden, October 2010.Lund University.
  • Van Hees P., Nilsson D. and Berggren E. (2009) Simulation of critical evacuation conditions for a fire scenario involving cables and comparison of two different cables..
  • Nilsson D. and Holmstedt G. (2008) Kompendium i aktiva system-Detektion.Lunds universitet, Lunds tekniska högskola. Brandteknik och riskhantering..
  • Frantzich H., Nilsson D. and Eriksson O. (2007) Utvärdering och validering av utrymningsprogram.Lund: Lunds universitet.
  • Frantzich H., Nilsson D., Kecklund L., Anderzén I. and Petterson S. (2007) Utrymningsförsök i Götatunneln.Fire Safety Engineering and Systems Safety.
  • Nilsson D. (2007) Datorsimulering av utrymning vid brand–inventering av tre angreppssätt.Fire Safety Engineering and Systems Safety.
  • Nilsson D. (2007) Dokumentering och utvärdering av ventilations-och sprinklerlaborationen i Aktiva system.Fire Safety Engineering and Systems Safety.
  • Nilsson D. and Frantzich H. (2007) Vägval vid utrymning-utrymningsförsök med gröna blinkande lampor vid nödutgångar.Fire Safety Engineering and Systems Safety.
  • Nilsson D. (2006) En modell av det inledande utrymningsförloppet.Fire Safety Engineering and Systems Safety.
  • Nilsson D. (2006) Utformning av talade utrymningsmeddelanden-erfarenheter från en enkätundersökning och oannonserade utrymningsförsök.Fire Safety Engineering and Systems Safety.
  • Nilsson D. (2005) Utvärdering av antalet personer i reaktorinneslutningarna R2, R3 och R4 vid revision.Brandteknik, Lunds universitet.
  • Frantzich H. and Nilsson D. (2004) Utrymningsförsök i reaktorinneslutningen i Ringhals 2.Brandteknik, LTH.
  • Frantzich H. and Nilsson D. (2003) Utrymning genom tät rök: beteende och förflyttning.Fire Safety Engineering and Systems Safety.
  • Amneus P., Soyhan H., Lovas T., Maigaard P., Nilsson D. and Mauss F. (2000) Automatic reduction of detailed kinetic mechanisms. In International Symposium on Combustion Abstracts of Accepted Papers, 384.
  • Lovas T., Nilsson D. and Mauss F. (2000) Automatic reduction procedure for chemical mechanisms applied to premixed methane-air flames. In International Symposium on Combustion Abstracts of Accepted Papers, 52.

Future Research

  • Smart Building Evacuation
  • Immersive Virtual Reality Methods
  • Sensor-based Pedestrian Tracking
  • Crowd Pressure and Congestion

Key Methodologies

  • Laboratory Evacuation Experiments
  • Field Evacuation Experiments
  • Virtual Reality Methods for Evacuation Research
  • Evacuation Modelling
  • Scoping Review
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