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Milad Haghani
Milad Haghani
Senior Lecturer, School of Civil & Environmental Engineering, UNSW Sydney
Verified email at unsw.edu.au - Homepage
Title
Cited by
Cited by
Year
The scientific literature on Coronaviruses, COVID-19 and its associated safety-related research dimensions: A scientometric analysis and scoping review
M Haghani, M Bliemer, F Goerlandt, J Li
Safety Science, 2020
3102020
Crowd behaviour and motion: Empirical methods
M Haghani, M Sarvi
Transportation research part B: methodological 107, 253-294, 2018
2952018
Human exit choice in crowded built environments: Investigating underlying behavioural differences between normal egress and emergency evacuations
M Haghani, M Sarvi
Fire Safety Journal 85, 1-9, 2016
1692016
Stated and revealed exit choices of pedestrian crowd evacuees
M Haghani, M Sarvi
Transportation Research Part B: Methodological 95, 238-259, 2017
1392017
Following the crowd or avoiding it? Empirical investigation of imitative behaviour in emergency escape of human crowds
M Haghani, M Sarvi
Animal behaviour 124, 47-56, 2017
1262017
Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCov literature
M Haghani, MCJ Bliemer
arXiv preprint arXiv:2006.00674, 2020
1112020
Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCov literature
M Haghani, MCJ Bliemer
Scientometrics 125 (3), 2695–2726, 2020
1112020
Empirical methods in pedestrian, crowd and evacuation dynamics: Part II. Field methods and controversial topics
M Haghani
Safety science 129, 104760, 2020
1032020
Empirical methods in pedestrian, crowd and evacuation dynamics: Part I. Experimental methods and emerging topics
M Haghani
Safety science 129, 104743, 2020
1002020
Panic, irrationality, and herding: three ambiguous terms in crowd dynamics research
M Haghani, E Cristiani, NWF Bode, M Boltes, A Corbetta
Journal of advanced transportation 2019 (1), 9267643, 2019
842019
Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods
M Haghani, MCJ Bliemer, JM Rose, H Oppewal, E Lancsar
Journal of choice modelling 41, 100322, 2021
782021
Evacuation behaviour of crowds under high and low levels of urgency: Experiments of reaction time, exit choice and exit-choice adaptation
M Haghani, M Sarvi, Z Shahhoseini
Safety science 126, 104679, 2020
752020
Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental …
M Haghani, MCJ Bliemer, JM Rose, H Oppewal, E Lancsar
Journal of choice modelling 41, 100309, 2021
712021
Optimising crowd evacuations: Mathematical, architectural and behavioural approaches
M Haghani
Safety science 128, 104745, 2020
702020
Simulating pedestrian flow through narrow exits
M Haghani, M Sarvi
Physics Letters A 383 (2-3), 110-120, 2019
672019
Pedestrian crowd tactical‐level decision making during emergency evacuations
M Haghani, M Sarvi
Journal of Advanced Transportation 50 (8), 1870-1895, 2016
672016
When ‘push’does not come to ‘shove’: Revisiting ‘faster is slower’in collective egress of human crowds
M Haghani, M Sarvi, Z Shahhoseini
Transportation research part A: policy and practice 122, 51-69, 2019
662019
The risks of using ChatGPT to obtain common safety-related information and advice
O Oviedo-Trespalacios, AE Peden, T Cole-Hunter, A Costantini, ...
Safety science 167, 106244, 2023
642023
Road safety research in the context of low-and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges
M Haghani, A Behnood, V Dixit, O Oviedo-Trespalacios
Safety science 146, 105513, 2022
632022
Simulating dynamics of adaptive exit-choice changing in crowd evacuations: Model implementation and behavioural interpretations
M Haghani, M Sarvi
Transportation research part C: emerging technologies 103, 56-82, 2019
632019
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