Daniel Nilsson

Daniel Nilsson

University of Canterbury

H-index: 39

Oceania-New Zealand

About Daniel Nilsson

Daniel Nilsson, With an exceptional h-index of 39 and a recent h-index of 33 (since 2020), a distinguished researcher at University of Canterbury, specializes in the field of fire, evacuation, human behaviour.

His recent articles reflect a diverse array of research interests and contributions to the field:

Investigating movement through smoke in virtual reality

Exploring single-line walking in immersive virtual reality

Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires

Predicting and assessing wildfire evacuation decision-making using machine learning: findings from the 2019 Kincade Fire

Prototyping an immersive virtual reality training system for urban-scale evacuation using 360-degree panoramas

A highway vehicle routing dataset during the 2019 Kincade Fire evacuation

A study on evacuation behavior in physical and virtual reality experiments

The Impact of Physical Distancing on the Evacuation of Crowds

Daniel Nilsson Information

University

Position

Professor Civil and Natural Resources Engineering

Citations(all)

5006

Citations(since 2020)

3262

Cited By

2954

hIndex(all)

39

hIndex(since 2020)

33

i10Index(all)

77

i10Index(since 2020)

61

Email

University Profile Page

University of Canterbury

Google Scholar

View Google Scholar Profile

Daniel Nilsson Skills & Research Interests

fire

evacuation

human behaviour

Top articles of Daniel Nilsson

Title

Journal

Author(s)

Publication Date

Investigating movement through smoke in virtual reality

Fire safety journal

Cameron Davis

Chelsea Sole

Humayun Khan

Daniel Nilsson

2023/10/1

Exploring single-line walking in immersive virtual reality

Fire Safety Journal

Luke de Schot

Daniel Nilsson

Ruggiero Lovreglio

Tyler Cunningham

Shane Till

2023/10/1

Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires

arXiv preprint arXiv:2304.06233

Xiaojian Zhang

Xilei Zhao

Yiming Xu

Ruggiero Lovreglio

Daniel Nilsson

2023/4/13

Predicting and assessing wildfire evacuation decision-making using machine learning: findings from the 2019 Kincade Fire

Fire Technology

Ningzhe Xu

Ruggiero Lovreglio

Erica D Kuligowski

Thomas J Cova

Daniel Nilsson

...

2023/3

Prototyping an immersive virtual reality training system for urban-scale evacuation using 360-degree panoramas

IOP Conference Series: Earth and Environmental Science

Z Feng

C Liu

VA González

R Lovreglio

D Nilsson

2022/11/1

A highway vehicle routing dataset during the 2019 Kincade Fire evacuation

Scientific data

Yiming Xu

Xilei Zhao

Ruggiero Lovreglio

Erica Kuligowski

Daniel Nilsson

...

2022/10/7

A study on evacuation behavior in physical and virtual reality experiments

Fire Technology

Silvia Arias

Axel Mossberg

Daniel Nilsson

Jonathan Wahlqvist

2022/3

The Impact of Physical Distancing on the Evacuation of Crowds

Enrico Ronchi

Daniel Nilsson

Ruggiero Lovreglio

Mikayla Register

Kyla Marshall

2022/2/28

A review of methods for determining structural fire severity—Part II: Analysis and review

Jonathon D MacIntyre

Anthony K Abu

Peter J Moss

Daniel Nilsson

Colleen A Wade

2022/1

Comparing the effectiveness of fire extinguisher virtual reality and video training

Virtual Reality

Ruggiero Lovreglio

Xinyue Duan

Anass Rahouti

Robyn Phipps

Daniel Nilsson

2021/3

Pursuing behavioral realism in Virtual Reality for fire evacuation research

Fire and materials

Silvia Arias

Jonathan Wahlqvist

Daniel Nilsson

Enrico Ronchi

Håkan Frantzich

2021/6

Unannounced evacuation experiment in a high-rise hotel building with evacuation elevators: a study of evacuation behaviour using eye-tracking

Fire technology

Axel Mossberg

Daniel Nilsson

Kristin Andrée

2021/5

Evacuation elevators in an underground metro station: A Virtual Reality evacuation experiment

Fire Safety Journal

Axel Mossberg

Daniel Nilsson

Jonathan Wahlqvist

2021/3/1

Investigating evacuation behaviour in retirement facilities: case studies from new zealand

Fire technology

Anass Rahouti

Ruggiero Lovreglio

Daniel Nilsson

Erica Kuligowski

Phil Jackson

...

2021/5

A virtual reality study of behavioral sequences in residential fires

Fire safety journal

Silvia Arias

Daniel Nilsson

Jonathan Wahlqvist

2021/3/1

Communicating Safety in Norwegian Road Tunnels

The Handbook of Strategic Communication

Sverre Kjetil Rød

Daniel Nilsson

2021/4/8

Using artificial intelligence for safe and effective wildfire evacuations

Xilei Zhao

Ruggiero Lovreglio

Erica Kuligowski

Daniel Nilsson

2021/3

Communicating Safety in Norwegian Road Tunnels: A Cocreational Perspective of Strategic Communication

The Handbook of Strategic Communication

Sverre Kjetil Rød

Daniel Nilsson

2021/3/28

Crowd safety: prototyping for the future: summary report showing how the science for “pedestrian flow” can keep up with demographic change

Daniel Nilsson

Peter Thompson

Denise McGrath

Karen Boyce

Håkan Frantzich

2020/3/5

Assessing the evacuation capacity of remote rural communities highly exposed to tsunami hazard: A case study of Wairarapa coastal communities

Alice Evans

Thomas Wilson

Matthew Hughes

Daniel Nilsson

2020

See List of Professors in Daniel Nilsson University(University of Canterbury)

Co-Authors

H-index: 84
Paul Pauli

Paul Pauli

Julius-Maximilians-Universität Würzburg

H-index: 41
Enrico Ronchi

Enrico Ronchi

Lunds Universitet

H-index: 41
Erica Kuligowski

Erica Kuligowski

RMIT University

H-index: 34
Anders Johansson

Anders Johansson

University of Bristol

H-index: 24
Patrick van Hees

Patrick van Hees

Lunds Universitet

H-index: 14
Mathias Müller

Mathias Müller

Julius-Maximilians-Universität Würzburg

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