蜜豆视频

Professor Ruggiero Lovreglio staff profile picture

Contact details +6492127114

Professor Ruggiero Lovreglio PhD

Professor in Digital Built Environment

Doctoral Supervisor
School of Built Environment

I am a Professor at 蜜豆视频 and a Rutherford Discovery Fellow for the Royal Society Te Ap膩rangi. I am the Co-Chair of the International Association for Disaster Reduction and Emergency Management founded by Tsinghua University.

Research: My work focus on Human Behavior in Disasters, Evacuation Modelling and Safett Training. My research make use of new digital  technologies such as Artificial Intelligence, Virtual Reality, Augmented Reality and BIM.

Teaching: My teaching focuses on BIM and Building Innovation Tools, Fire Engineering (Evacuation and Pedestrian Dynamic) and Research Methods (from statistical testing to regression modelling).

Roles: I am an Associate Editor for Safety Science (Elsevier) and Fire Technology (Springer). I am member of the Editorial Board of Fire Safety Journal (Elsevier), Virtual Reality (Springer) and Journal of Safety Science and Resilience (Elsevier). I have been guest edtior for Simulation Modelling Practice and Theory (Esevier) and Developments in the Built Environment (Elsevier). I have been a grant reviewer for the National Science Foundation (USA), Royal Society Ap膩rangi (NZ), the Research Grants Council (RGC) of Hong Kong, Austrian Science Fund (FWF), Dutch Research Council (NWO), National Fund for Scientific and Technological Development (Chile), Occupational Safety and Health (UK) and Czech Science Foundation (Czech Republic).

Awards: I am the recipient of the 2020 蜜豆视频Research Medal - Early Career and the 2020 College of Science Research Award - Early Career. I have received the 5 under 35 SFPE award in 2022

Outputs: I have published more than 100 peer reviewed journal papers and chapters including a letter to Science.

I am a Professor at 蜜豆视频 and a Rutherford Discovery Fellow for the Royal Society Te Ap膩rangi. I am the Co-Chair of the International Association for Disaster Reduction and Emergency Management founded by Tsinghua University.

Research: My work focus on Human Behavior in Disasters, Evacuation Modelling and Safett Training. My research make use of new digital  technologies such as Artificial Intelligence, Virtual Reality, Augmented Reality and BIM.

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Professional

Contact details

  • Ph: +6494140800 extn 49114
    Location: QA.38, QA Building
    Campus: Albany

Qualifications

  • Doctor of Philosophy in Environmental and Land Safety and Monitoring - Inter-polytechnic Doctoral School: Polytechnic universities of Turin, Bari and Milan (2016)

Research Expertise

Research Interests

Evacuation

Fire Emergencies

Earthquake Emergencies

Human Behaviour in Disasters

Virtual Reality

Augmented Reality

Building Information Modelling

Serious Games

Statistics

Decision-making

Modelling

Simulation

Area of Expertise

Field of research codes
Civil Engineering (090500): Civil Engineering not elsewhere classified (090599): Construction Engineering (090502): Earthquake Engineering (090504): Engineering (090000):
Other Technology (109900): Technology (100000): Technology not elsewhere classified (109999):
Transport Engineering (090507)

Keywords

Evacuation

Fire Emergencies

Earthquake Emergencies

Human Behaviour in Disasters

Virtual Reality

Augmented Reality

Building Information Modelling

Serious Games

Statistics

Decision-making

Modelling

Simulation

Research Projects

Current Projects

Project Title: RDF - Identification and implementation of fundamental crowd behaviour rules

Date Range: 2023 - 2028

Funding Body: Royal Society of New Zealand

Project Team:

Project Title: How much do they recall? Measuring the effect of safety training on human memory

Safety training is important. It reduces accidents in dangerous workplaces, such as construction sites. And it is important to refresh training to ensure people retain the lessons. But the recommended intervals between sessions vary wildly (from 6 months for building evacuations to 24 months for construction workers), because no one knows how long people retain the information. In this study, we will compare the efficacy of practical, theoretical, and virtual reality training. Our findings will ensure that the design and implementation of safety training programmes is empirically based. We will provide a sound scientific foundation for safety regulations worldwide. PI: A/Prof Ruggiero Lovreglio (MU), AIs: Dr Zhenan Feng (MU), Dr Daniel Paes (MU), Dr Erica Kuligowski (RMIT)
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Date Range: 2023 - 2026

Funding Bodies: Marsden Fund - Fast Start; Royal Society of New Zealand

Project Team:

Completed Projects

Project Title: Evacuee Tracking using Kinects

This project aims at developing an automatic system that can detect evacuees and measure their speed and densities while moving toward a safe place. This project uses smart cameras (i.e. Microsoft Kinects) and Artificial Intelligence to record and analyze data in real-time.
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Date Range: 2020 - 2021

Funding Body: Halliwell Group Ltd < Fire Research Group Ltd

Project Team:

Project Title: Tasman Fire Evacuations

Date Range: 2019 - 2019

Funding Body: University of Canterbury

Project Team:

Research Outputs

Journal

Geoerg, P., de Schot, L., & Lovreglio, R. (2025). Decoding Hospital Evacuation Drills: Pre-movement and Movement Analysis in New Zealand. Fire Technology.
[Journal article]Authored by: Lovreglio, R.
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Shi, D., Li, J., Wang, Q., Chen, J., Lovreglio, R., Lo, JTY., . . . Ma, J. (2025). Modeling and simulation of crowd dynamics at evacuation bottlenecks during flood disasters. Transportation Research Part E: Logistics and Transportation Review. 198
[Journal article]Authored by: Lovreglio, R.
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Wood, M., McBride, SK., Zhao, X., Baldwin, D., Cochran, ES., Zhang, X., . . . Cova, T. (2025). Simulating human behavior under earthquake early warning. Heliyon. 11(3)
[Journal article]Authored by: Lovreglio, R.
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Daemei, AB., Lovreglio, R., Feng, Z., Paes, D., & Miller, C. (2025). Gamification for air quality education: A systematic literature review. Building and Environment. 270
[Journal article]Authored by: Carneiro Paes, D., Feng, Z., Lovreglio, R.
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Shad, HK., Feng, Z., Paes, D., Yiu, TW., & Lovreglio, R. (2025). Augmented Reality Applications for the Excavation Industry: Locating and Protecting Underground Utilities. Journal of Pipeline Systems Engineering and Practice. 16(1)
[Journal article]Authored by: Carneiro Paes, D., Feng, Z., Lovreglio, R.
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Tong, Y., W. F. Bode, N., Haghani, M., & Lovreglio, R. (2025). Exploring occupant exit choices during fire drills and false alarm evacuations in a library. Safety Science. 182
[Journal article]Authored by: Lovreglio, R.
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Daemei, AB., Lovreglio, R., Feng, Z., & Paes, D. (2024). Green Roof Energy Performance across Cfb/Oceanic Climates: Simulating Climate Change and Future Trends. Journal of Engineering, Project, and Production Management. 14(4)
[Journal article]Authored by: Carneiro Paes, D., Feng, Z., Lovreglio, R.
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Domgue K, LI., Paes, D., Feng, Z., Mander, S., Datoussaid, S., Descamps, T., . . . Lovreglio, R. (2025). Video see-through augmented reality fire safety training: A comparison with virtual reality and video training. Safety Science. 184
[Journal article]Authored by: Carneiro Paes, D., Feng, Z., Lovreglio, R., Mander, S.
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Li, R., Wang, X., Lovreglio, R., Ding, H., Wang, Q., Chen, J., . . . Ma, J. (2025). Influence of subsequent path and pressure on pedestrian route choice in emergency evacuations. Physica A: Statistical Mechanics and its Applications. 657
[Journal article]Authored by: Lovreglio, R.
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Naraghi, N., Feng, Z., Lovreglio, R., Vishnupriya, V., Wilkinson, S., & Baghaei Daemei, A. (2024). Simulating and visualising indoor seismic damage: A systematic literature review. International Journal of Disaster Risk Reduction. 115
[Journal article]Authored by: Feng, Z., Lovreglio, R., Vishnu, P.
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Noumeur, A., Lovreglio, R., Md Said, MS., Baharudin, MR., Mohamed Yusoff, H., & Mohd Tohir, MZ. (2025). A study of staff pre-evacuation behaviors in a Malaysian hotel. Fire and Materials. 49(2), 138-161
[Journal article]Authored by: Lovreglio, R.
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Zhang, X., Zhao, X., Xu, Y., Nilsson, D., & Lovreglio, R. (2024). Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires. Transportation Research Part A: Policy and Practice. 190
[Journal article]Authored by: Lovreglio, R.
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Ronchi, E., Kapalo, K., Bode, N., Boyce, K., Cuesta, A., Feng, Y., . . . Wong, SD. (2024). Determinants of Gaps in Human Behaviour in Fire Research. Fire Technology.
[Journal article]Authored by: Lovreglio, R.
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Shipman, A., Majumdar, A., Boyce, N., & Lovreglio, R. (2024). Movement behaviour of pedestrians in knife-based terrorist attacks: An experimental approach. Transportation Research Part C: Emerging Technologies. 166
[Journal article]Authored by: Lovreglio, R.
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Gong, P., Lu, Y., Lovreglio, R., Lv, X., & Chi, Z. (2024). Applications and effectiveness of augmented reality in safety training: A systematic literature review and meta-analysis. Safety Science. 178
[Journal article]Authored by: Lovreglio, R.
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Shi, D., Liu, J., Ma, J., Lovreglio, R., Wang, Q., & Chen, J. (2024). How do age compositions affect pedestrian dynamics on stairways? Findings from controlled experiments. Safety Science. 178
[Journal article]Authored by: Lovreglio, R.
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Gong, P., Lu, Y., Lovreglio, R., Yang, X., & Deng, Y. (2024). Comparing the effectiveness of AR training and slide-based training: The case study of metro construction safety. Safety Science. 176
[Journal article]Authored by: Lovreglio, R.
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Sun, Y., Forrister, A., Kuligowski, ED., Lovreglio, R., Cova, TJ., & Zhao, X. (2024). Social vulnerabilities and wildfire evacuations: A case study of the 2019 Kincade fire. Safety Science. 176
[Journal article]Authored by: Lovreglio, R.
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Cova, TJ., Sun, Y., Zhao, X., Liu, Y., Kuligowski, ED., Janfeshanaraghi, N., . . . Lovreglio, R. (2024). Destination unknown: Examining wildfire evacuee trips using GPS data. Journal of Transport Geography. 117
[Journal article]Authored by: Lovreglio, R.
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Shipman, A., Majumdar, A., Feng, Z., & Lovreglio, R. (2024). A quantitative comparison of virtual and physical experimental paradigms for the investigation of pedestrian responses in hostile emergencies. Scientific Reports. 14(1)
[Journal article]Authored by: Feng, Z., Lovreglio, R.
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Paes, D., Feng, Z., King, M., Khorrami Shad, H., Sasikumar, P., Pujoni, D., . . . Lovreglio, R. (2024). Optical see-through augmented reality fire safety training for building occupants. Automation in Construction. 162
[Journal article]Authored by: Carneiro Paes, D., Feng, Z., Lovreglio, R.
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12
Yiu, TW., Sutrisna, M., & Lovreglio, R. (2024). Guest Editorial: Special issue of ‘The use of emerging technologies to enhance construction Safety’. Safety Science. 174
[Journal article]Authored by: Lovreglio, R., Sutrisna, M.
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Shi, D., Li, X., Chen, J., Wang, Q., Lovreglio, R., & Ma, J. (2024). Understanding pedestrian movement with baggage on stairway: Insights from controlled experiments. Travel Behaviour and Society. 35
[Journal article]Authored by: Lovreglio, R.
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Haghani, M., Lovreglio, R., Button, ML., Ronchi, E., & Kuligowski, E. (2024). Human behaviour in fire: Knowledge foundation and temporal evolution. Fire Safety Journal. 144
[Journal article]Authored by: Lovreglio, R.
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6
Feng, Z., Lovreglio, R., Yiu, TW., Acosta, DM., Sun, B., & Li, N. (2024). Immersive virtual reality training for excavation safety and hazard identification. Smart and Sustainable Built Environment. 13(4), 883-907
[Journal article]Authored by: Feng, Z., Lovreglio, R.
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18
Lu, S., Feng, Z., Lovreglio, R., Wang, F., & Yuan, X. (2024). Comparing the productive failure and directive instruction for declarative safety knowledge training using virtual reality. Journal of Computer Assisted Learning. 40(3), 1040-1051
[Journal article]Authored by: Feng, Z., Lovreglio, R.
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Forrister, A., Kuligowski, ED., Sun, Y., Yan, X., Lovreglio, R., Cova, TJ., . . . Zhao, X. (2024). Analyzing Risk Perception, Evacuation Decision and Delay Time: A Case Study of the 2021 Marshall Fire in Colorado. Travel Behaviour and Society. 35
[Journal article]Authored by: Lovreglio, R.
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14
Parisi, F., Ruggieri, S., Lovreglio, R., Fanti, MP., & Uva, G. (2024). On the use of mechanics-informed models to structural engineering systems: Application of graph neural networks for structural analysis. Structures. 59
[Journal article]Authored by: Lovreglio, R.
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de Schot, L., Nilsson, D., Lovreglio, R., Cunningham, T., & Till, S. (2024). Corrigendum to “Exploring single-line walking in immersive virtual reality” [Fire Saf. J. 140 (2023) 103882] (Fire Safety Journal (2023) 140, (S0379711223001509), (10.1016/j.firesaf.2023.103882)). Fire Safety Journal. 143
[Journal article]Authored by: Lovreglio, R.
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Scorgie, D., Feng, Z., Paes, D., Parisi, F., Yiu, TW., & Lovreglio, R. (2024). Virtual reality for safety training: A systematic literature review and meta-analysis. Safety Science. 171
[Journal article]Authored by: Carneiro Paes, D., Feng, Z., Lovreglio, R.
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46
Zhang, W., Shi, H., Zhao, Y., Feng, Z., & Lovreglio, R. (2024). MMAF-Net: Multi-view multi-stage adaptive fusion for multi-sensor 3D object detection. Expert Systems with Applications. 242
[Journal article]Authored by: Feng, Z., Lovreglio, R.
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Lovreglio, R., Wang, X., & Rein, G. (2024). The UN Sustainable Development Goals and Fire Technology. Fire Technology. 60(3), 1421-1426
[Journal article]Authored by: Lovreglio, R.
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Santoro, S., Lovreglio, R., Totaro, V., Camarda, D., Iacobellis, V., & Fratino, U. (2023). Community risk perception for flood management: A structural equation modelling approach. International Journal of Disaster Risk Reduction. 97
[Journal article]Authored by: Lovreglio, R.
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Parisi, F., Feliciani, C., & Lovreglio, R. (2023). What do we head for while exiting a room? a novel parametric distance map for pedestrian dynamic simulations. Transportation Research Part C: Emerging Technologies. 156
[Journal article]Authored by: Lovreglio, R.
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2
D'Amico, A., Bernardini, G., Lovreglio, R., & Quagliarini, E. (2023). A non-immersive virtual reality serious game application for flood safety training. International Journal of Disaster Risk Reduction. 96
[Journal article]Authored by: Lovreglio, R.
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21
de Schot, L., Nilsson, D., Lovreglio, R., Cunningham, T., & Till, S. (2023). Exploring single-line walking in immersive virtual reality. Fire Safety Journal. 140
[Journal article]Authored by: Lovreglio, R.
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5
Haghani, M., Coughlan, M., Crabb, B., Dierickx, A., Feliciani, C., van Gelder, R., . . . Wilson, A. (2023). A roadmap for the future of crowd safety research and practice: Introducing the Swiss Cheese Model of Crowd Safety and the imperative of a Vision Zero target. Safety Science. 168
[Journal article]Authored by: Lovreglio, R.
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21
Bernardini, G., Lovreglio, R., Quagliarini, E., & D'Orazio, M. (2023). Can active and passive wayfinding systems support fire evacuation in buildings? Insights from a virtual reality-based experiment. Journal of Building Engineering. 74
[Journal article]Authored by: Lovreglio, R.
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22
Mander, S., Alam, F., Lovreglio, R., & Ooi, M. (2023). How to measure light pollution—A systematic review of methods and applications. Sustainable Cities and Society. 92
[Journal article]Authored by: Lovreglio, R., Mander, S.
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42
Xu, N., Lovreglio, R., Kuligowski, ED., Cova, TJ., Nilsson, D., & 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
[Journal article]Authored by: Lovreglio, R.
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21
Lin, J., Li, N., Rao, LL., & Lovreglio, R. (2023). Individual wayfinding decisions under stress in indoor emergency situations: A theoretical framework and meta-analysis. Safety Science. 160
[Journal article]Authored by: Lovreglio, R.
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15
Rafi, MM., Ahmed, S., Lovreglio, R., & Dias, C. (2023). Investigating a university library building evacuation in Pakistan during a semi-announced fire drill. Fire and Materials. 47(5), 693-704
[Journal article]Authored by: Lovreglio, R.
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Ma, L., Lovreglio, R., Yi, W., Yiu, TW., & Shan, M. (2023). Barriers and strategies for building information modelling implementation: a comparative study between New Zealand and China. International Journal of Construction Management. 23(12), 2067-2076
[Journal article]Authored by: Lovreglio, R.
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16
Radman, K., Jelodar, MB., Lovreglio, R., Ghazizadeh, E., & Wilkinson, S. (2022). Digital technologies and data-driven delay management process for construction projects. Frontiers in Built Environment. 8
[Journal article]Authored by: Babaeianjelodar, M., Lovreglio, R.
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Haghani, M., & Lovreglio, R. (2022). Data-based tools can prevent crowd crushes. Science. 378(6624), 1060
[Journal article]Authored by: Lovreglio, R.
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Wu, A., Yan, X., Kuligowski, E., Lovreglio, R., Nilsson, D., Cova, TJ., . . . Zhao, X. (2022). Wildfire evacuation decision modeling using GPS data. International Journal of Disaster Risk Reduction. 83
[Journal article]Authored by: Lovreglio, R.
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Khorrami Shad, H., Tak Wing Yiu, K., Lovreglio, R., & Feng, Z. (2024). State-of-the-art analysis of the integration of augmented reality with construction technologies to improve construction safety. Smart and Sustainable Built Environment. 13(6), 1434-1449
[Journal article]Authored by: Feng, Z., Lovreglio, R.
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11
Xu, Y., Zhao, X., Lovreglio, R., Kuligowski, E., Nilsson, D., Cova, TJ., . . . Yan, X. (2022). A highway vehicle routing dataset during the 2019 Kincade Fire evacuation. Scientific Data. 9(1)
[Journal article]Authored by: Lovreglio, R.
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2
Lovreglio, R., Daphney-Chloe, N., Rahouti, A., Paes, D., Feng, Z., & Shipman, A. (2022). Prototyping and testing a virtual reality counterterrorism serious game for active shooting. International Journal of Disaster Risk Reduction. 82
[Journal article]Authored by: Carneiro Paes, D., Feng, Z., Lovreglio, R.
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16
Lovreglio, R., Dillies, E., Kuligowski, E., Rahouti, A., & Haghani, M. (2022). Exit choice in built environment evacuation combining immersive virtual reality and discrete choice modelling. Automation in Construction. 141
[Journal article]Authored by: Lovreglio, R.
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61
Santoro, S., Totaro, V., Lovreglio, R., Camarda, D., Iacobellis, V., & Fratino, U. (2022). Risk perception and knowledge of protective measures for flood risk planning. The case study of Brindisi (Puglia region). Safety Science. 153
[Journal article]Authored by: Lovreglio, R.
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16
Lovreglio, R., & Kuligowski, E. (2022). A pre-evacuation study using data from evacuation drills and false alarm evacuations in a university library. Fire Safety Journal. 131
[Journal article]Authored by: Lovreglio, R.
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18
Zhao, X., Xu, Y., Lovreglio, R., Kuligowski, E., Nilsson, D., Cova, TJ., . . . Yan, X. (2022). Estimating wildfire evacuation decision and departure timing using large-scale GPS data. Transportation Research Part D: Transport and Environment. 107
[Journal article]Authored by: Lovreglio, R.
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36
Dias, C., Abdullah, M., Lovreglio, R., Sachchithanantham, S., Rekatheeban, M., & Sathyaprasad, IMS. (2022). Exploring home-to-school trip mode choices in Kandy, Sri Lanka. Journal of Transport Geography. 99
[Journal article]Authored by: Lovreglio, R.
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25
Kuligowski, ED., Zhao, X., Lovreglio, R., Xu, N., Yang, K., Westbury, A., . . . Brown, N. (2022). Modeling evacuation decisions in the 2019 Kincade fire in California. Safety Science. 146
[Journal article]Authored by: Lovreglio, R.
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51
Lovreglio, R., Thompson, P., & Feng, Z. (2022). Automation in Fire Safety Engineering Using BIM and Generative Design. Fire Technology. 58(1)
[Journal article]Authored by: Feng, Z., Lovreglio, R.
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6
Edrisi, A., Lahoorpoor, B., & Lovreglio, R. (2021). Simulating metro station evacuation using three agent-based exit choice models. Case Studies on Transport Policy. 9(3), 1261-1272
[Journal article]Authored by: Lovreglio, R.
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Rahouti, A., Lovreglio, R., Dias, C., Kuligowski, E., Gai, G., & La Mendola, S. (2021). Investigating office buildings evacuations using unannounced fire drills: The case study of CERN, Switzerland. Fire Safety Journal. 125
[Journal article]Authored by: Lovreglio, R.
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8
Spearpoint, M., Lovreglio, R., & Gwynne, S. (2021). The response of sleeping adults to smoke alarm signals in the Evacuation Decision Model. Fire Safety Journal. 123
[Journal article]Authored by: Lovreglio, R.
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Rahouti, A., Lovreglio, R., Datoussaïd, S., & Descamps, T. (2021). Prototyping and Validating a Non-immersive Virtual Reality Serious Game for Healthcare Fire Safety Training. Fire Technology. 57(6), 3041-3078
[Journal article]Authored by: Lovreglio, R.
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Rahouti, A., Lovreglio, R., Nilsson, D., Kuligowski, E., Jackson, P., & Rothas, F. (2021). Investigating Evacuation Behaviour in Retirement Facilities: Case Studies from New Zealand. Fire Technology. 57(3), 1015-1039
[Journal article]Authored by: Lovreglio, R.
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Song, XB., & Lovreglio, R. (2021). Investigating personalized exit choice behavior in fire accidents using the hierarchical Bayes estimator of the random coefficient logit model. Analytic Methods in Accident Research. 29
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Duan, X., Rahouti, A., Phipps, R., & Nilsson, D. (2021). Comparing the effectiveness of fire extinguisher virtual reality and video training. Virtual Reality. 25(1), 133-145
[Journal article]Authored by: Lovreglio, R.
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Zhao, X., Lovreglio, R., Kuligowski, E., & Nilsson, D. (2021). Using Artificial Intelligence for Safe and Effective Wildfire Evacuations. Fire Technology. 57(2), 483-485
[Journal article]Authored by: Lovreglio, R.
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Ballerini, L., McGrory, S., Valdés Hernández, MDC., Lovreglio, R., Pellegrini, E., MacGillivray, T., . . . Wardlaw, J. (2020). Quantitative measurements of enlarged perivascular spaces in the brain are associated with retinal microvascular parameters in older community-dwelling subjects. Cerebral Circulation - Cognition and Behavior. 1, Retrieved from https://www.sciencedirect.com/science/article/pii/S2666245020300027
[Journal article]Authored by: Lovreglio, R.
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Ballerini, L., McGrory, S., Valdés Hernández, MDC., Lovreglio, R., Pellegrini, E., MacGillivray, T., . . . Wardlaw, J. (2020). Quantitative measurements of enlarged perivascular spaces in the brain are associated with retinal microvascular parameters in older community-dwelling subjects. Cerebral Circulation - Cognition and Behavior. 1
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Kuligowski, E., Walpole, E., Link, E., & Gwynne, S. (2020). Calibrating the Wildfire Decision Model using hybrid choice modelling. International Journal of Disaster Risk Reduction. 50
[Journal article]Authored by: Lovreglio, R.
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Kuligowski, ED., Walpole, EH., Lovreglio, R., & Mccaffrey, S. (2020). Modelling evacuation decision-making in the 2016 Chimney Tops 2 fire in Gatlinburg, TN. International Journal of Wildland Fire. 29(12), 1120-1132
[Journal article]Authored by: Lovreglio, R.
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Ronchi, E., & Lovreglio, R. (2020). EXPOSED: An occupant exposure model for confined spaces to retrofit crowd models during a pandemic. Safety Science. 130
[Journal article]Authored by: Lovreglio, R.
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Feng, Z., González, VA., Trotter, M., Spearpoint, M., Thomas, J., Ellis, D., . . . Lovreglio, R. (2020). How people make decisions during earthquakes and post-earthquake evacuation: Using Verbal Protocol Analysis in Immersive Virtual Reality. Safety Science. 129
[Journal article]Authored by: Feng, Z., Lovreglio, R.
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Feng, Z., González, VA., Amor, R., Spearpoint, M., Thomas, J., Sacks, R., . . . Cabrera-Guerrero, G. (2020). An immersive virtual reality serious game to enhance earthquake behavioral responses and post-earthquake evacuation preparedness in buildings. Advanced Engineering Informatics. 45
[Journal article]Authored by: Feng, Z., Lovreglio, R.
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102
11
Rahouti, A., Lovreglio, R., Gwynne, S., Jackson, P., Datoussaïd, S., & Hunt, A. (2020). Human behaviour during a healthcare facility evacuation drills: Investigation of pre-evacuation and travel phases. Safety Science. 129
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., & Kinateder, M. (2020). Augmented reality for pedestrian evacuation research: Promises and limitations. Safety Science. 128
[Journal article]Authored by: Lovreglio, R.
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Zhao, X., Lovreglio, R., & Nilsson, D. (2020). Modelling and interpreting pre-evacuation decision-making using machine learning. Automation in Construction. 113
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Ronchi, E., & Kinsey, MJ. (2020). An Online Survey of Pedestrian Evacuation Model Usage and Users. Fire Technology. 56(3), 1133-1153
[Journal article]Authored by: Lovreglio, R.
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Ballerini, L., Booth, T., Valdés Hernández, MDC., Wiseman, S., Lovreglio, R., Muñoz Maniega, S., . . . Wardlaw, J. (2020). Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936. NeuroImage: Clinical. 25
[Journal article]Authored by: Lovreglio, R.
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12
Dias, C., Abdullah, M., Sarvi, M., Lovreglio, R., & Alhajyaseen, W. (2019). Modeling and simulation of pedestrian movement planning around corners. Sustainability (Switzerland). 11(19)
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Kuligowski, E., Gwynne, S., & Strahan, K. (2019). A modelling framework for householder decision-making for wildfire emergencies. International Journal of Disaster Risk Reduction. 41
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Kuligowski, E., Gwynne, S., & Boyce, K. (2019). Corrigendum to “A pre-evacuation database for use in egress simulations” (Fire Safety J. 105, 2019, (107–128), (S0379-7112(18)30221-2),(10.1016/j.firesaf.2018.12.009)). Fire Safety Journal. 108
[Journal article]Authored by: Lovreglio, R.
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Bernardini, G., Lovreglio, R., & Quagliarini, E. (2019). Proposing behavior-oriented strategies for earthquake emergency evacuation: A behavioral data analysis from New Zealand, Italy and Japan. Safety Science. 116, 295-309
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Kuligowski, E., Gwynne, S., & Boyce, K. (2019). A pre-evacuation database for use in egress simulations. Fire Safety Journal. 105, 107-128
[Journal article]Authored by: Lovreglio, R.
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Ronchi, E., Mayorga, D., Lovreglio, R., Wahlqvist, J., & Nilsson, D. (2019). Mobile-powered head-mounted displays versus cave automatic virtual environment experiments for evacuation research. Computer Animation and Virtual Worlds. 30(6)
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Spearpoint, M., & Girault, M. (2019). The impact of sampling methods on evacuation model convergence and egress time. Reliability Engineering and System Safety. 185, 24-34
[Journal article]Authored by: Lovreglio, R.
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Gwynne, SMV., Kuligowski, ED., Boyce, KE., Nilsson, D., Robbins, AP., Lovreglio, R., . . . Roy-Poirier, A. (2019). Enhancing egress drills: Preparation and assessment of evacuee performance. Fire and Materials. 43(6), 613-631
[Journal article]Authored by: Lovreglio, R.
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14
Lovreglio, R., Gonzalez, V., Feng, Z., Amor, R., Spearpoint, M., Thomas, J., . . . Sacks, R. (2018). Prototyping virtual reality serious games for building earthquake preparedness: The Auckland City Hospital case study. Advanced Engineering Informatics. 38, 670-682
[Journal article]Authored by: Feng, Z., Lovreglio, R.
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158
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Bosco, D., Lovreglio, R., Frassoldati, A., Derudi, M., & Borghetti, F. (2018). Queue formation and evacuation modelling in road tunnels during fires. Chemical Engineering Transactions. 67, 805-810
[Journal article]Authored by: Lovreglio, R.
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Feng, Z., González, VA., Amor, R., Lovreglio, R., & Cabrera-Guerrero, G. (2018). Immersive virtual reality serious games for evacuation training and research: A systematic literature review. Computers and Education. 127, 252-266
[Journal article]Authored by: Feng, Z., Lovreglio, R.
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312
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Ruggiero, L., Charitha, D., Xiang, S., & Lucia, B. (2018). Investigating pedestrian navigation in indoor open space environments using big data. Applied Mathematical Modelling. 62, 499-509
[Journal article]Authored by: Lovreglio, R.
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Aleksandrov, M., Rajabifard, A., Kalantari, M., Lovreglio, R., & González, VA. (2018). People Choice Modelling for Evacuation of Tall Buildings. Fire Technology. 54(5), 1171-1193
[Journal article]Authored by: Lovreglio, R.
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Dias, C., & Lovreglio, R. (2018). Calibrating cellular automaton models for pedestrians walking through corners. Physics Letters, Section A: General, Atomic and Solid State Physics. 382(19), 1255-1261
[Journal article]Authored by: Lovreglio, R.
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Ballerini, L., Lovreglio, R., Valdés Hernández, MDC., Ramirez, J., MacIntosh, BJ., Black, SE., . . . Wardlaw, JM. (2018). Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering. Scientific Reports. 8(1)
[Journal article]Authored by: Lovreglio, R.
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33
Rahouti, A., Salze, G., Lovreglio, R., & Datoussaïd, S. (2017). An Immersive Serious Game for Firefighting and Evacuation Training in Healthcare Facilities. International Journal of Computer and Information Engineering. 11(9)
[Journal article]Authored by: Lovreglio, R.
Olander, J., Ronchi, E., Lovreglio, R., & Nilsson, D. (2017). Dissuasive exit signage for building fire evacuation. Applied Ergonomics. 59, 84-93
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Fonzone, A., dell'Olio, L., & Borri, D. (2016). A study of herding behaviour in exit choice during emergencies based on random utility theory. Safety Science. 82, 421-431
[Journal article]Authored by: Lovreglio, R.
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129
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Ronchi, E., Nilsson, D., Koji膰, S., Eriksson, J., Lovreglio, R., Modig, H., . . . Walter, AL. (2016). A Virtual Reality Experiment on Flashing Lights at Emergency Exit Portals for Road Tunnel Evacuation. Fire Technology. 52(3), 623-647
[Journal article]Authored by: Lovreglio, R.
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143
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Lovreglio, R., Ronchi, E., & Nilsson, D. (2016). An Evacuation Decision Model based on perceived risk, social influence and behavioural uncertainty. Simulation Modelling Practice and Theory. 66, 226-242
[Journal article]Authored by: Lovreglio, R.
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107
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Lovreglio, R., Fonzone, A., & dell'Olio, L. (2016). A mixed logit model for predicting exit choice during building evacuations. Transportation Research Part A: Policy and Practice. 92, 59-75
[Journal article]Authored by: Lovreglio, R.
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147
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Lovreglio, R., Ronchi, E., Maragkos, G., Beji, T., & Merci, B. (2016). A dynamic approach for the impact of a toxic gas dispersion hazard considering human behaviour and dispersion modelling. Journal of Hazardous Materials. 318, 758-771
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Ronchi, E., & Nilsson, D. (2015). A model of the decision-making process during pre-evacuation. Fire Safety Journal. 78, 168-179
[Journal article]Authored by: Lovreglio, R.
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108
59
Lovreglio, R., Ronchi, E., & 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
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Fonzone, A., dell'Olio, L., Borri, D., & Ibeas, A. (2014). The role of herding behaviour in exit choice during evacuation. Procedia Social and Behavioral Sciences. 160, 390-399 Retrieved from https://www.sciencedirect.com/science/article/pii/S1877042814062521?via=ihub
[Journal article]Authored by: Lovreglio, R.
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Lovreglio, R., Borri, D., Dell'Olio, L., & Ibeas, A. (2014). A discrete choice model based on random utilities for exit choice in emergency evacuations. Safety Science. 62, 418-426
[Journal article]Authored by: Lovreglio, R.
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127
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Lovreglio, R., Ronchi, E., & Borri, D. (2014). The validation of evacuation simulation models through the analysis of behavioural uncertainty. Reliability Engineering and System Safety. 131, 166-174
[Journal article]Authored by: Lovreglio, R.
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Book

Ronchi, E., Lovreglio, R., Scozzari, R., & Fronterrè, M. (2024). The Use of Crowd Models for Risk Analysis During the Covid-19 Pandemic. In Modeling and Simulation in Science, Engineering and Technology. (pp. 45 - 69).
[Chapter]Authored by: Lovreglio, R.
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Sun, Y., Zhao, X., Lovreglio, R., & Kuligowski, E. (2023). AI for large-scale evacuation modeling: promises and challenges. In Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure. (pp. 185 - 204).
[Chapter]Authored by: Lovreglio, R.
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Lovreglio, R., Borri, D., Ronchi, E., Fonzone, A., & dell'Olio, L. (2022). The need for latent variables for modelling decision-making in evacuation simulations. In Economics and Engineering of Unpredictable Events: Modelling, Planning and Policies. (pp. 82 - 96).
[Chapter]Authored by: Lovreglio, R.
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Ronchi, E., Nilsson, D., Lovreglio, R., Register, M., & Marshall, K. (2021). The Impact of Physical Distancing on the Evacuation of Crowds. In Modeling and Simulation in Science, Engineering and Technology. (pp. 133 - 156).
[Chapter]Authored by: Lovreglio, R.
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1

Report

Yiu, TW., Wu, RW., Jelodar, MB., Lovreglio, R., Ameer Ali, N., Guo, BHW., . . . Ghodrati, N.(2023). Are you ready to be monitored at work?– A Study of Real-time Employee Monitoring Technologies Adoption for New Zealand Construction Industry from Legal, Ethical and Behavioural Perspectives. (Report No. External Research Report ER77 [2023]). Porirua, New Zealand: Building Research Association of New Zealand
[Technical Report]Authored by: Ameer Ali, N., Babaeianjelodar, M., Lovreglio, R.
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Conference

Mander, S., Alam, F., Ooi, M., & Lovreglio, R.Towards an Innovative Low-Cost Instrument to Measure Outdoor Light at Night. . Auckland, New Zealand
[Conference Paper]Authored by: Lovreglio, R., Mander, S.
Kumar, V., Feng, Z., Paes, D., & Lovreglio, R.What are the government’s efforts to transform the construction industry? Comparing the digital transformation roadmaps from the UK, Singapore, and New Zealand. . Auckland
[Conference Paper]Authored by: Feng, Z., Kumar, V., Lovreglio, R.
Radman, K., Babaeianjelodar, M., Lovreglio, R., Wilkinson, S., & Ghazizadeh, E.(2022, February). Real-Time Project Productivity Tracking System: Practical Case in Smart Construction Projects. . Retreived from https://mro.massey.ac.nz/items/023048a1-9d6a-4bee-8e74-df2eff794219
[Conference]Authored by: Babaeianjelodar, M., Lovreglio, R.
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Mander, S., Vishnu, P., & Lovreglio, R. (2022). Using 360-degree virtual tours to teach construction students. https://researchdirect.westernsydney.edu.au/islandora/object/uws:68066/. (pp. 811 - 811). : The 45th Australasian Universities Building Education Association Conference: Global Challenges in a Disrupted World: Smart, Sustainable and Resilient Approaches in the Built Environment
[Conference Paper in Published Proceedings]Authored by: Lovreglio, R., Mander, S., Vishnu, P.
Feng, Z., Liu, C., Gonzalez, VA., Lovreglio, R., & Nilsson, D.Prototyping an immersive virtual reality training system for urban-scale evacuation using 360-degree panoramas. IOP Conference Series: Earth and Environmental Science. 1101 (2)1755-1307.
[Conference]Authored by: Feng, Z., Lovreglio, R.
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Ballerini, L., Fetit, AE., Wunderlich, S., Lovreglio, R., McGrory, S., Valdes-Hernandez, M., . . . Trucco, E. (2020). Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. In BW. Papie偶, AIL. Namburete, M. Yaqub, & E. Trucco (Eds.) Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings. (pp. 400 - 409). Cham, Switzerland: 24th Conference on Medical Image Understanding and Analysis
[Conference Paper in Published Proceedings]Authored by: Lovreglio, R.
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Lovreglio, R.Virtual and Augmented Reality for Human Behaviour in Disasters: A Review. . Online - COVID
[Conference Paper]Authored by: Lovreglio, R.
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Ballerini, L., Fetit, AE., Wunderlich, S., Lovreglio, R., McGrory, S., Valdes-Hernandez, M., . . . Trucco, E.Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. Communications in Computer and Information Science. (pp. 400 - 409). 1865-0929.
[Conference]Authored by: Lovreglio, R.
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5
Rahouti, A., Lovreglio, R., Dias, C., & Datoussaid, S.Simulating Assisted Evacuation Using Unity3D. TRAFFIC AND GRANULAR FLOW '17. (pp. 265 - 275).
[Conference]Authored by: Lovreglio, R.
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Lovreglio, R., Dias, C., Song, X., & Ballerini, L.Towards Microscopic Calibration of Pedestrian Simulation Models Using Open Trajectory Datasets: The Case Study of the Edinburgh Informatics Forum. TRAFFIC AND GRANULAR FLOW '17. (pp. 215 - 223).
[Conference]Authored by: Lovreglio, R.
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Rahouti, A., Lovreglio, R., Jackson, P., & Sélim, D. (2020). Evacuation Data from a Hospital Outpatient Drill The Case Study of North Shore Hospital. In A. Dederichs, G. Köster, & A. Schadschneider (Eds.) Proceedings from the 9th International Conference on Pedestrian and Evacuation Dynamics. (pp. 142 - 149). Borås: The International Conference on Pedestrian and Evacuation Dynamics
[Conference Paper in Published Proceedings]Authored by: Lovreglio, R.
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Lovreglio, R.A review of augmented reality applications for building evacuation. . Tampere, Finland
[Conference Paper]Authored by: Lovreglio, R.
Zhang, T., Ghaffarianhoseini, A., Ghaffarianhoseini, A., Naismith, N., Rehman, A., & Lovreglio, R.Establishing a Knowledge-Base System (KBS) for Post-Construction Building Facility Maintenance. . Kuala Lumpur, Malaysia
[Conference Paper]Authored by: Lovreglio, R.
Zhang, T., Ghaffarianhoseini, A., Ghaffarianhoseini, A., Naismith, N., Rehman, A., & Lovreglio, R.Developing an EEG-Based Building Management System to Enhance Built Environment Accessibility for Disabled Users. . Kuala Lumpur, Malasya
[Conference Paper]Authored by: Lovreglio, R.
Rahouti, A., Lovreglio, R., Dias, C., & Datoussaïd, S. (2019). Simulating Assisted Evacuation Using Unity3D. In SH. Hamdar (Ed.) Traffic and Granular Flow '17. (pp. 265 - 275). Cham, Switzerland: 12th Conference on Traffic and Granular Flow (TGF)
[Conference Paper in Published Proceedings]Authored by: Lovreglio, R.
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Lovreglio, R., Dias, C., Song, X., & Ballerini, L. (2019). Towards Microscopic Calibration of Pedestrian Simulation Models Using Open Trajectory Datasets: The Case Study of the Edinburgh Informatics Forum. In SH. Hamdar (Ed.) Traffic and Granular Flow '17. (pp. 215 - 223). Cham, Switzerland: 12th Conference on Traffic and Granular Flow (TGF)
[Conference Paper in Published Proceedings]Authored by: Lovreglio, R.
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Lovreglio, R., Claraidge, E., & Jackson, P. (2017). The status quo of computer evacuation modelling in New Zealand. , FireNZ
[Conference Abstract]Authored by: Lovreglio, R.
Lovreglio, R., Dias, C., Song, X., & Ballerini, L.(2017). Towards microscopic calibration of pedestrian simulation models using open trajectory data-sets: The case study of the Edinburgh informatics forum. . Washington, United States of America
[Conference Paper]Authored by: Lovreglio, R.
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Rohaouti, A., Lovreglio, R., Dias, C., & Datoussaid, S. (2017). Simulating Assisted Evacuation using Unity3D. Poster session presented at the meeting of Traffic & Granular Flow 2017
[Conference Poster]Authored by: Lovreglio, R.
Lovreglio, R., Gonzalez, V., Amor, R., Spearpoint, M., Thomas, J., Trotter, M., . . . Sacks, R.(2017). The need for enhancing earthquake evacuee safety by using virtual reality serious games. . Heraklion, Crete, Greece
[Conference Paper]Authored by: Lovreglio, R.
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Ballerini, L., Mcgrory, S., & Lovreglio, R. (2017). Quantitative Measurements of Enlarged Perivascular Spaces in the Brain are Associated with Retinal Microvascular Parameters. Poster session presented at the meeting of Medical Image Understanding and Analysis (MIUA) 2017
[Conference Poster]Authored by: Lovreglio, R.
Rahouti, A., Datoussaïd, S., & Lovreglio, R.(2016). A sensitivity analysis of a hospital evacuation in case of fire: the impact of the percentage of people with reduced mobility and the staff to occupant’s ratio. . Torremolinos, Spain
[Conference Paper]Authored by: Lovreglio, R.
Carattin, E., Lovreglio, R., Ronchi, E., & Nilsson, D.(2016). Affordance-Based Evaluation of Signage Design for Areas of Refuge. . Nr Windsor, UK
[Conference Paper]Authored by: Lovreglio, R.
Gwynne, S., Boyce, K., Kuligowski, E., Nilsson, D., Robbins, A., & Lovreglio, R.(2016). Pros and cons of egress drills. . Windsor, United Kingdom
[Conference Paper]Authored by: Lovreglio, R.
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Ballerini, L., Lovreglio, R., Hernández, MDCV., Gonzalez-Castro, V., Maniega, SM., Pellegrini, E., . . . Wardlaw, JM.(2016). Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces. Paper presented at the meeting of Procedia Computer Science
[Conference Paper]Authored by: Lovreglio, R.
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Lovreglio, R., Ronchi, E., & Nilsson, D.(2015). A Mixed-Ordered Approach to Investigate Correlations Among Different Affordances in Fire Evacuation. . Cambridge, UK
[Conference Paper]Authored by: Lovreglio, R.
Lovreglio, R., Borri, D., Ronchi, E., Fonzone, A., & dell"Olio, L.(2015). The need of latent variables for modelling decision-making in evacuation simulations. . Bari, Italy
[Conference Paper]Authored by: Lovreglio, R.
Mayeux, A., Lovreglio, R., Saleh, W., & Fonzone, A.(2015). Illegal pedestrian crossing at signalised junctions in urban areas: The impact of spatial factors. . Washington DC, US
[Conference Paper]Authored by: Lovreglio, R.
Lovreglio, R.(2014). Data-Collection Approaches for the Study of the Decision-Making Process in Fire Evacuations. . Bari, Italy
[Conference Paper]Authored by: Lovreglio, R.
Lovreglio, R., Fonzone, A., dell'Olio, L., Borri, D., & Ibeas, A.(2014). The Role of Herding Behaviour in Exit Choice during Evacuation. Paper presented at the meeting of XI CONGRESO DE INGENIERIA DEL TRANSPORTE (CIT 2014)
[Conference Paper]Authored by: Lovreglio, R.
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24
Lovreglio, R., Borri, D., dell'Olio, L., Ibeas, A., & Camarda, D.Planning exit choices during emergency situations: A random-utility approach. . Groningen, Nederland
[Conference Paper]Authored by: Lovreglio, R.

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Uncategorised

Domgue Kamwa, LI., Paes, D., Feng, Z., Mander, S., Datoussaid, S., Descamps, T., . . . Lovreglio, R.AugustAugustDomgue, KLI., Paes, D., Feng, Z., Mander, S., Datoussaid, S., Descamps, T., . . . Lovreglio, R.AugustDecemberDecember
[Preprint]Authored by: Feng, Z., Lovreglio, R., Mander, S.
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Consultancy and Languages

Languages

  • English
    Last used: today
    Spoken ability: Excellent
    Written ability: Excellent
  • Italian
    Last used: today
    Spoken ability: Excellent
    Written ability: Excellent

Teaching and Supervision

Teaching Statement

Human Behaviour in Fire

Evacuation Modelling

Research Methods

Statistics (SPSS, R, and MATLAB)

Building Information Modelling

Contact Supervisor

Graduate Supervision Statement

I have been supervising and co-supervising more than 20 Master's and PhD students since 2016.
The research of these projects focused on disaster evacuation, VR, AR, BIM, 3D scanning and many other digital construction topics


Professor Ruggiero Lovreglio is available for Masters and Doctorial supervision.

Summary of Doctoral Supervision

Position Current Completed
Main Supervisor 3 0
Co-supervisor 7 0

Current Doctoral Supervision

Main Supervisor of:

  • Yingying Chen - Doctor of Philosophy
    Investigating Pedestrian Evacuation Dynamics using Computer Vision
  • Dorothy Liu - Doctor of Philosophy
    Virtual Reality in Fire Safety Training
  • Hesam Khorrami Shad - Doctor of Philosophy
    Adopting Augmented Reality to Avoid Underground Utilities Strikes During Excavation

Co-supervisor of:

  • Jin Wan - Doctor of Philosophy
    Using Virtual Reality to Enhance Flood Disaster Preparedness Among the Low Literacy and Illiterate Populations
  • Lei Liu - Doctor of Philosophy
    The role of distance perception in perceiving and responding to hazards in virtual reality
  • Tianqi Huang - Doctor of Philosophy
    Application of Gamification and Learning Theories for Wildfire Education and Training
  • Mehwish Qureshi - Doctor of Philosophy
    UTILIZING DIGITAL TWIN FOR WATER SUSTAINABILITY IN THREE WATERS SYSTEM
  • Juwita Radzi - Doctor of Philosophy
    Effective written communication: A study on standard forms of construction contracts.
  • view more...
  • Raymond Wu - Doctor of Philosophy
    A study of Real-time Employee Monitoring Technology Adoption in New Zealand from - Legal, ethical and behavioural perspective
  • Kambiz Radman - Doctor of Philosophy
    Construction Projects Status Tracking: A Real-Time Data-Driven Framework for Delay Management and Analysis

Media and Links