[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhao et al., 2016 - Google Patents

Understanding the bias of call detail records in human mobility research

Zhao et al., 2016

View PDF
Document ID
4580803298643489256
Author
Zhao Z
Shaw S
Xu Y
Lu F
Chen J
Yin L
Publication year
Publication venue
International Journal of Geographical Information Science

External Links

Snippet

In recent years, call detail records (CDRs) have been widely used in human mobility research. Although CDRs are originally collected for billing purposes, the vast amount of digital footprints generated by calling and texting activities provide useful insights into …
Continue reading at seminars.sense-lab.org:10080 (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0202Market predictions or demand forecasting
    • G06Q30/0204Market segmentation
    • G06Q30/0205Location or geographical consideration
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/109Time management, e.g. calendars, reminders, meetings, time accounting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/30Transportation; Communications
    • G06Q50/32Post and telecommunications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/023Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

Similar Documents

Publication Publication Date Title
Zhao et al. Understanding the bias of call detail records in human mobility research
Tu et al. Coupling mobile phone and social media data: A new approach to understanding urban functions and diurnal patterns
Xu et al. Human mobility and socioeconomic status: Analysis of Singapore and Boston
Hu et al. Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
Yuan et al. The missing parts from social media-enabled smart cities: who, where, when, and what?
Yuan et al. Analyzing the distribution of human activity space from mobile phone usage: an individual and urban-oriented study
Ahas et al. Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn
Lee et al. Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection
Frias-Martinez et al. Characterizing urban landscapes using geolocated tweets
Ghahramani et al. Mobile phone data analysis: A spatial exploration toward hotspot detection
Girardin et al. Quantifying urban attractiveness from the distribution and density of digital footprints
Kang et al. Towards estimating urban population distributions from mobile call data
Yang et al. Origin-destination estimation for non-commuting trips using location-based social networking data
Fang et al. Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns
Zhi et al. Latent spatio-temporal activity structures: A new approach to inferring intra-urban functional regions via social media check-in data
Zhao et al. The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data
Demissie et al. Analysis of the pattern and intensity of urban activities through aggregate cellphone usage
Jin et al. Similarity measurement on human mobility data with spatially weighted structural similarity index (SpSSIM)
Bwambale et al. Modelling long-distance route choice using mobile phone call detail record data: a case study of Senegal
Šveda et al. Daily commuting in the Bratislava metropolitan area: case study with mobile positioning data
Zhang et al. Characterizing individual mobility perturbations in cities during extreme weather events
Malmi et al. Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns
Sinclair et al. Assessing the socio-demographic representativeness of mobile phone application data
Wang et al. Does the returners and explorers dichotomy in urban human mobility depend on the observation duration? An empirical study in Guangzhou, China
Terroso-Saenz et al. An analysis of twitter as a relevant human mobility proxy: A comparative approach in spain during the COVID-19 pandemic