The need of latent variables for modelling decision-making in evacuation simulations
Lovreglio, R ; Borri, D ; Ronchi, E LU
; Fonzone, A
and Dell’Olio, L
(2015)
IX International Workshop on Planning and Evaluation, Bari, 16-18 March 2015
- Abstract
- Evacuation models generally tend to make over-simplifications in the representation of human behaviour in fire due to the difficulties to capture its complexity. This work shows how ‘new’ discrete choice model approaches allow overcoming this issue. A description of the existing state-of-the-art of discrete choice models is introduced to highlight the potential of those models. Three case studies are introduced describing an application of the Random Utility Theory to simulate evacuees’ decisions pertaining to the strategic, tactical and operational levels. This work highlights the need for new datasets including indicators which allows estimating latent factors which may affect evacuees’ decision.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/72b6cb8c-e73e-424e-905b-8d297f3296d1
- author
- Lovreglio, R
; Borri, D
; Ronchi, E
LU
; Fonzone, A
and Dell’Olio, L
- organization
- publishing date
- 2015
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- IX International Workshop on Planning and Evaluation
- conference name
- IX International Workshop on Planning and Evaluation, Bari, 16-18 March 2015
- conference location
- Bari, Italy
- conference dates
- 2015-03-16 - 2015-03-18
- external identifiers
-
- scopus:85131709474
- DOI
- 10.13140/RG.2.1.4521.7684
- language
- English
- LU publication?
- yes
- id
- 72b6cb8c-e73e-424e-905b-8d297f3296d1
- date added to LUP
- 2020-07-23 16:38:03
- date last changed
- 2022-08-19 15:46:18
@inproceedings{72b6cb8c-e73e-424e-905b-8d297f3296d1,
abstract = {{Evacuation models generally tend to make over-simplifications in the representation of human behaviour in fire due to the difficulties to capture its complexity. This work shows how ‘new’ discrete choice model approaches allow overcoming this issue. A description of the existing state-of-the-art of discrete choice models is introduced to highlight the potential of those models. Three case studies are introduced describing an application of the Random Utility Theory to simulate evacuees’ decisions pertaining to the strategic, tactical and operational levels. This work highlights the need for new datasets including indicators which allows estimating latent factors which may affect evacuees’ decision.<br/>}},
author = {{Lovreglio, R and Borri, D and Ronchi, E and Fonzone, A and Dell’Olio, L}},
booktitle = {{IX International Workshop on Planning and Evaluation}},
language = {{eng}},
title = {{The need of latent variables for modelling decision-making in evacuation simulations}},
url = {{http://dx.doi.org/10.13140/RG.2.1.4521.7684}},
doi = {{10.13140/RG.2.1.4521.7684}},
year = {{2015}},
}