Human mobility: Models and applications
Hugo Barbosa
(1)
,
Marc Barthelemy
(2, 3)
,
Gourab Ghoshal
(1)
,
Charlotte R James
(4)
,
Maxime Lenormand
(5)
,
Thomas Louail
(6)
,
Ronaldo Menezes
(7)
,
José J Ramasco
(8)
,
Filippo Simini
(4)
,
Marcello Tomasini
(7)
1
University of Rochester [USA]
2 IPHT - Institut de Physique Théorique - UMR CNRS 3681
3 EHESS - École des hautes études en sciences sociales
4 University of Bristol [Bristol]
5 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
6 GC (UMR_8504) - Géographie-cités
7 Florida Institute of Technology [Melbourne]
8 IFISC - Institute for Cross-Disciplinary Physics and Complex Systems
2 IPHT - Institut de Physique Théorique - UMR CNRS 3681
3 EHESS - École des hautes études en sciences sociales
4 University of Bristol [Bristol]
5 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
6 GC (UMR_8504) - Géographie-cités
7 Florida Institute of Technology [Melbourne]
8 IFISC - Institute for Cross-Disciplinary Physics and Complex Systems
Maxime Lenormand
- Fonction : Auteur
- PersonId : 1262
- IdHAL : maximelenormand
- ORCID : 0000-0001-6362-3473
- IdRef : 169027155
Thomas Louail
- Fonction : Auteur
- PersonId : 19980
- IdHAL : tlouail
- ORCID : 0000-0001-8563-6881
- IdRef : 151492859
Résumé
Recent years have witnessed an explosion of extensive geolocated datasets related to human movement, enabling scientists to quantitatively study individual and collective mobility patterns, and to generate models that can capture and reproduce the spatiotem-poral structures and regularities in human trajectories. The study of human mobility is especially important for applications such as estimating migratory flows, traffic forecasting , urban planning, and epidemic modeling. In this survey, we review the approaches developed to reproduce various mobility patterns, with the main focus on recent developments. This review can be used both as an introduction to the fundamental modeling principles of human mobility, and as a collection of technical methods applicable to specific mobility-related problems. The review organizes the subject by differentiating between individual and population mobility and also between short-range and long-range mobility. Throughout the text the description of the theory is intertwined with real-world applications.
Domaines
Géographie Géographie Physique [physics] Physique [physics] Méthodes et statistiques Méthodes et statistiquesFormat du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Human mobility: Models and applications
|
Résumé |
en
Recent years have witnessed an explosion of extensive geolocated datasets related to human movement, enabling scientists to quantitatively study individual and collective mobility patterns, and to generate models that can capture and reproduce the spatiotem-poral structures and regularities in human trajectories. The study of human mobility is especially important for applications such as estimating migratory flows, traffic forecasting , urban planning, and epidemic modeling. In this survey, we review the approaches developed to reproduce various mobility patterns, with the main focus on recent developments. This review can be used both as an introduction to the fundamental modeling principles of human mobility, and as a collection of technical methods applicable to specific mobility-related problems. The review organizes the subject by differentiating between individual and population mobility and also between short-range and long-range mobility. Throughout the text the description of the theory is intertwined with real-world applications.
|
Auteur(s) |
Hugo Barbosa
1
, Marc Barthelemy
2, 3
, Gourab Ghoshal
1
, Charlotte R James
4
, Maxime Lenormand
5
, Thomas Louail
6
, Ronaldo Menezes
7
, José J Ramasco
8
, Filippo Simini
4
, Marcello Tomasini
7
1
University of Rochester [USA]
( 302316 )
- Rochester, NY
- États-Unis
2
IPHT -
Institut de Physique Théorique - UMR CNRS 3681
( 53952 )
- Institut de Physique Théorique
Orme des Merisiers batiment 774 Point courrier 136 CEA/DSM/IPhT
CEA/Saclay
F-91191 Gif-sur-Yvette Cedex
- France
3
EHESS -
École des hautes études en sciences sociales
( 99539 )
- 54, boulevard Raspail 75006 Paris
- France
4
University of Bristol [Bristol]
( 220393 )
- Senate House, Tyndall Avenue, Bristol BS8 1TH
- Royaume-Uni
5
UMR TETIS -
Territoires, Environnement, Télédétection et Information Spatiale
( 182888 )
- Maison de la télédétection - 500 rue Jean-François Breton - 34093 Montpellier Cedex 5
- France
6
GC (UMR_8504) -
Géographie-cités
( 43649 )
- 13 rue du Four - 75006 Paris
- France
7
Florida Institute of Technology [Melbourne]
( 71997 )
- 150 W. University Blvd. Melbourne, FL 32901
- États-Unis
8
IFISC -
Institute for Cross-Disciplinary Physics and Complex Systems
( 243393 )
- Campus - E-07122 Palma de Mallorca
- Espagne
|
Page/Identifiant |
1-74
|
Langue du document |
Anglais
|
Nom de la revue |
|
Commentaire(s) |
|
Public visé |
Scientifique
|
Volume |
734
|
Audience |
Internationale
|
Date de publication |
2018-03
|
Numéro |
734
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Commentaire |
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-AMOS [ADD1_IRSTEA]Dynamiques spatiales d'anthropisation
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-AMOS [ADD1_IRSTEA]Dynamiques spatiales d'anthropisation |
Voir aussi |
|
Indexation contrôlée |
|
Domaine(s) |
|
Projet(s) Européen(s) |
|
Mots-clés |
en
Human Mobility, Random Walks, Origin-Destination Matrices, Time-geography, Mobility modeling, Mobility Big Data, ACL, PARIS team, WP, Human Dynamics
|
arXiv Id | 1710.00004 |
DOI | 10.1016/j.physrep.2018.01.001 |
irste@doc (Irstea) | PUB00056974 |
Origine :
Fichiers produits par l'(les) auteur(s)
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