Suchergebnisse - "Mobile phone data"

Analysis of Location-based Accessibility using a Mobile Phone-Based Origin-Destination Matrix and a Land Use Map

Autoren: Gong, Suxia Saadi, Ismaïl Teller, Jacques et al.

Quelle: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2025-09-19); 20th 3D GeoInfo & 9th Smart Data Smart, Kashiwa, Japan [JP], from 02 to 05 2025

Schlagwörter: Dynamic Accessibility, Public Transport, Mobile Phone Data, OD Matrix, Land Use, Social & behavioral sciences, psychology, Sciences sociales & comportementales, psychologie

Relation: https://isprs-annals.copernicus.org/articles/X-4-W7-2025/33/2025/isprs-annals-X-4-W7-2025-33-2025.pdf; urn:issn:2194-9042; urn:issn:2194-9050

Zugangs-URL: https://orbi.uliege.be/handle/2268/336185

Analyzing the Impact of Floods on Urban Mobility Using Mobile Phone Data: A Case Study of the Vesdre Catchment Area

Autoren: Gong, Suxia Collet, Gaétan Teller, Jacques et al.

Quelle: 2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (2025-09-08); 9th IEEE Conference on Models and Technologies for Intelligent Transportation Systems, Luxumbourg, Luxembourg [LU], 8-10 September 2025

Schlagwörter: floods, mobile phone data, transportation infrastructure, disruption, Tobit regression, Social & behavioral sciences, psychology, Sciences sociales & comportementales, psychologie

Relation: http://xplorestaging.ieee.org/ielx8/11223286/11223517/11223573.pdf?arnumber=11223573

Zugangs-URL: https://orbi.uliege.be/handle/2268/337645

Understanding spatiotemporal patterns of walking behavior of older people via mobile phone big data

Autoren: He, Xuan He, Sylvia Y.

Quelle: Travel Behaviour and Society, 41

Schlagwörter: Walking behavior, Spatiotemporal patterns, Mobile phone data, Big data, Older adults

Dateibeschreibung: application/application/pdf

Zugangs-URL: http://hdl.handle.net/20.500.11850/735700

Urban Mobility Pattern Using Mobile Phone Geolocation Data: A Smart Mobility Case Study of Oeiras

Autoren: Melo, André Felipe Saraiva de Barriguinha, André Figueiredo RUN

Weitere Verfasser: Melo, André Felipe Saraiva de Barriguinha, André Figueiredo RUN

Schlagwörter: Urban Mobility, Smart Cities, Smart Mobility, Mobile Phone Data, Cluster Analysis, SDG 11 - Sustainable cities and communities, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10362/190282

Modelling the effects of anonymization in O/D matrices obtained from mobile phone data

Autoren: Krajzewicz, Daniel Trukenbrod, Hans Arne Haerst, Martin et al.

Quelle: Procedia Computer Science. 257:974-979

Schlagwörter: modelling, mobile phone data, anonymization effects

The Uneven Impact of Mobility on the Segregation of Native and Foreign-born Individuals

Autoren: Liao, Yuan Gil, Jorge Yeh, Sonia et al.

Quelle: Användning av stora datamängder för att omdefiniera upplevd social segregation: hur den styrs av rörlighet, byggd miljö och bostadsort The Uneven Impact of Mobility on the Segregation of Native and Foreign-born Individuals.

Schlagwörter: Mobile phone data, Mobility patterns, Transport access, Homophily, Social segregation

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/542764
https://research.chalmers.se/publication/542764/file/542764_Fulltext.pdf

A novel activity space approach to discover displacement patterns via mobile phone data: an analysis of the 2023 Türkiye-Syria earthquakes

Autoren: Bilgeçağ Aydoğdu Didem Danış Özge Bilgili et al.

Quelle: EPJ Data Science, Vol 14, Iss 1, Pp 1-28 (2025)

Schlagwörter: Mobile phone data, Call Detail Records, Earthquake, Displacement, Türkiye, Syria, Computer applications to medicine. Medical informatics, R858-859.7

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2193-1127

Zugangs-URL: https://doaj.org/article/3e67cb955650420fbef758f13d775aa6

The effect of recurrent mobility on air pollution exposure and mortality burden in Catalonia

Autoren: Alejandro Navarro-Martínez Meriem Hajji Jan Mateu Armengol et al.

Quelle: International Journal of Health Geographics, Vol 24, Iss 1, Pp 1-19 (2025)

Schlagwörter: Air pollution, Human mobility, Mobile phone data, Exposure assessment, Dynamic population, Attributable mortality, Computer applications to medicine. Medical informatics, R858-859.7

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1476-072X

Zugangs-URL: https://doaj.org/article/d6e4371e7197423f944efe86659e1aa2

Daily Mobility Patterns: Reducing or Reproducing Inequalities and Segregation?

Autoren: Hedman, Lina Kadarik, Kati Andersson, Roger et al.

Quelle: Social Inclusion. 9(2):208-221

Schlagwörter: daily mobility, mobile phone data, residential environment, segregation, Sweden

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448736
https://doi.org/10.17645/si.v9i2.3850

Using App Usage Data From Mobile Devices to Improve Activity-Based Travel Demand Models

Autoren: Rodríguez González, Ana Belén Burrieza Galán, Javier Vinagre Díaz, Juan José et al.

Quelle: IEEE Transactions on Big Data, ISSN 2332-7790, 2024-09, Vol. 10, No. 5
Archivo Digital UPM
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Schlagwörter: travel demand models, Telecomunicaciones, location of activities, mobile phone data, Matemáticas, Transporte, Application usage data, Big Data analytics

Dateibeschreibung: application/pdf

Zugangs-URL: https://oa.upm.es/86312/

Vortrag 'Modelling the effects of anonymization in O/D matrices obtained from mobile phone data'

Autoren: Krajzewicz, Daniel Trukenbrod, Hans Arne Haerst, Martin et al.

Schlagwörter: modelling, mobile phone data, anonymization effects

Zugangs-URL: https://elib.dlr.de/213867/

Improving next location prediction with inferred activity semantics in mobile phone data

Autoren: Shen Liang Qiuping Li Li Zhuo et al.

Quelle: International Journal of Digital Earth, Vol 18, Iss 2 (2025)

Schlagwörter: Human mobility prediction, activity semantic inference, LSTM, mobile phone data, multimodal embeddings, Mathematical geography. Cartography, GA1-1776

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955

Zugangs-URL: https://doaj.org/article/2eca33a1499f458998cfe34498a7907a

Mobile phone data analyses for public health research: a scoping review

Autoren: Xuening Cheng Wei Jiang Siyi Liu et al.

Quelle: Frontiers in Public Health, Vol 13 (2025)

Schlagwörter: mobile phone data, public health, mobile signaling data, population mobility, pandemic, Public aspects of medicine, RA1-1270

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpubh.2025.1728985/full; https://doaj.org/toc/2296-2565

Zugangs-URL: https://doaj.org/article/557dc597212f41d48d004a21ffd121d1

Deriving Origin-Destination matrices from Aggregated Mobile Phone Data : a new insight on people's mobility

Autoren: Rolland, Clémence Bayart, Caroline Bonnel, Patrick et al.

Weitere Verfasser: Rolland, Clémence Bayart, Caroline Bonnel, Patrick et al.

Schlagwörter: Traffic counts, Origin-destination matrix, Passive Data Mobile Phone Data Origin-destination matrix Traffic counts, Mobile Phone Data, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Passive Data

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-05120053v1

Evaluating the Effect of Transforming Public Space on Customer Traffic – Utilization of Mobile Phone Data

Autoren: Hardinghaus, Michael Nieland, Simon Schuppan, Julia et al.

Quelle: Lecture Notes in Intelligent Transportation and Infrastructure ISBN: 9783031827136

Schlagwörter: active mobility, Mobile phone data, street redistribution, public space, Mobile phone data street redistribution public space active mobility

Zugangs-URL: https://elib.dlr.de/213264/
https://doi.org/10.1007/978-3-031-82714-3_31
https://elib.dlr.de/206661/

Traffic flows time series in a flood-prone area: modeling and clustering on extreme values with a spatial constraint

Autoren: Carpita, Maurizio De Luca, Giovanni Metulini, Rodolfo et al.

Quelle: Stochastic Environmental Research and Risk Assessment. 38:3109-3125

Schlagwörter: Traffic flows modelling, Spatial time series clustering, Copula functions, Tail dependence, Spatial proximity, Mobile phone data, Trafc fows modelling, Spatial time series clustering, Copula functions, Tail dependence, Spatial proximity, Mobile phone data, Traffic flows modelling, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/10446/273073
https://doi.org/10.1007/s00477-024-02735-x
https://link.springer.com/article/10.1007/s00477-024-02735-x#additional-information
https://doi.org/10.1007/s00477-024-02735-x
https://hdl.handle.net/11379/615085
https://hdl.handle.net/11367/140143
https://doi.org/10.1007/s00477-024-02735-x
https://link.springer.com/article/10.1007/s00477-024-02735-x#citeas

Proposal of a method to observe road status using UAV considering post-disaster urgency based on mobile spatial dynamics data

Autoren: Jun Sakamoto

Quelle: Discover Sustainability, Vol 6, Iss 1, Pp 1-15 (2025)

Schlagwörter: UAV, Mobile phone data, TSP, GIS, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2662-9984

Zugangs-URL: https://doaj.org/article/29edce2128d9444ca8412864f6688ff8

Activity-travel pattern inference based on multi-source big data

Autoren: Xiao Fu Yi Zhang Juan de Dios Ortúzar et al.

Quelle: Transport Reviews. 45:26-48

Schlagwörter: 11 Ciudades y comunidades sostenibles, ATP component, mobile phone data, 11 Sustainable Cities and Communities, Activity and travel choice behaviour, ATP inference, smart card data

Tensor Decomposition for Spatiotemporal Mobility Pattern Learning with Mobile Phone Data

Autoren: Gong, Suxia Saadi, Ismaïl Teller, Jacques et al.

Weitere Verfasser: Gong, Suxia Saadi, Ismaïl Teller, Jacques et al.

Quelle: Transportation Research Record: Journal of the Transportation Research Board. 2679:1432-1445

Schlagwörter: OD matrices, Mobility patterns, 11. Sustainability, 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology, Mobile Phone Data, Non-negative Tucker decomposition, Engineering, computing & technology, Ingénierie, informatique & technologie

Zugangs-URL: https://hdl.handle.net/2268/322020
https://doi.org/10.1177/03611981241270166

Inequality in leisure mobility: An analysis of activity space segregation spectra in the Stockholm conurbation

Autoren: Toger, Marina, Dr. Turk, Umut Osth, John et al.

Quelle: Journal of Transport Geography. 111

Schlagwörter: Mobility, Leisure, Inequality, Mobile phone data, Multilevel model, LISA, Intra-class correlation, Root mean square error

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-509978
https://doi.org/10.1016/j.jtrangeo.2023.103638