Maarten Vanhoof
Maarten Vanhoof
Centre for Advanced Spatial Analysis, University College London
Adresse e-mail validée de ucl.ac.uk - Page d'accueil
Titre
Citée par
Citée par
Année
An analytical framework to nowcast well-being using mobile phone data
L Pappalardo, M Vanhoof, L Gabrielli, Z Smoreda, D Pedreschi, ...
International Journal of Data Science and Analytics 2 (1-2), 75-92, 2016
672016
Identifying and modeling the structural discontinuities of human interactions
S Grauwin, M Szell, S Sobolevsky, P Hövel, F Simini, M Vanhoof, ...
Scientific reports 7, 46677, 2017
352017
Assessing the quality of home detection from mobile phone data for official statistics
M Vanhoof, F Reis, T Ploetz, Z Smoreda
Journal of Official Statistics 34 (4), 935-960, 2018
212018
Closer to the total? Long-distance travel of French mobile phone users
M Janzen, M Vanhoof, Z Smoreda, KW Axhausen
Travel Behaviour and Society 11, 31-42, 2018
212018
Mobile phone indicators and their relation to the socioeconomic organisation of cities
C Cottineau, M Vanhoof
ISPRS International Journal of Geo-Information 8 (1), 19, 2019
132019
Comparing regional patterns of individual movement using corrected mobility entropy
M Vanhoof, W Schoors, A Van Rompaey, T Ploetz, Z Smoreda
Journal of Urban Technology 25 (2), 27-61, 2018
13*2018
Estimating Long-Distance Travel Demand with Mobile Phone Billing Data
M Janzen, M Vanhoof, KW Axhausen, Z Smoreda
16th Swiss Transport Research Conference (STRC 2016), 2016
132016
Returning the particular: Understanding hierarchies in the Belgian logistics system
J Beckers, M Vanhoof, A Verhetsel
Journal of Transport Geography 76, 315-324, 2019
82019
Exploring the use of mobile phone data for domestic tourism trip analysis
M Vanhoof, L Hendrickx, A Puussaar, G Verstraeten, T Ploetz, Z Smoreda
Netcom. Réseaux, communication et territoires, 335-372, 2017
72017
Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art
M Vanhoof, F Reis, Z Smoreda, T Ploetz
Mobile Tartu 2016, 2016
62016
Performance and sensitivities of home detection on mobile phone data
M Vanhoof, C Lee, Z Smoreda
Big Data Meets Survey Science: A Collection of Innovative Methods, 245-271, 2020
42020
Mining mobile phone data to detect urban areas
M Vanhoof, S Combes, MP de Bellefon
SIS 2017. Statistics and Data Science: new challenges, new generations …, 2017
42017
Estimating the Residential Population from Mobile Phone Data, an Initial Exploration
B Sakarovitch, MP Bellefon, P Givord, M Vanhoof
Economie et Statistique 505 (1), 109-132, 2018
32018
Purpose Imputation for Long-Distance Tours without Personal Information
M Janzen, M Vanhoof, KW Axhausen
Transportation Research Board 96th Annual Meeting Transportation Research Board, 2017
22017
Drawing Boundaries of Social Interactions
M Vanhoof, Z Smoreda, C Ratti
Uses and Value 52, 2-5, 2015
22015
Archaeological Investigations in the Potenza Valley. Field Season 2013
F Vermeulen, M De Dapper, P Monsieur, G Verhoeven, L Verdonck, ...
12013
London in Lockdown: Mobility in the Pandemic City
M Batty, R Murcio, I Iacopini, M Vanhoof, R Milton
arXiv preprint arXiv:2011.07165, 2020
2020
Using Foursquare data to reveal spatial and temporal patterns in London
M Vanhoof, A Godoy-Lorite, R Murcio, I Iacopini, N Zdanowska, ...
2019
Geographical veracity of indicators from mobile phone data: a study of call detail records data in France
M Vanhoof
Newcastle University, 2018
2018
Mining mobile phone data to recognize urban areas
M Vanhoof, C Stéphanie, MP de Bellefon, T Plötz
New Technologies and Techniques for Statistics (NTTS 2017), 2017
2017
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20