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Trade area analysis using user generated mobile location data

Yan Qu, Jun Zhang
2013 Proceedings of the 22nd international conference on World Wide Web - WWW '13  
In this paper, we illustrate how User Generated Mobile Location Data (UGMLD) like Foursquare check-ins can be used in Trade Area Analysis (TAA) by introducing a new framework and corresponding analytic  ...  Three key processes were created: identifying the activity center of a mobile user, profiling users based on their location history, and modeling users' preference probability.  ...  Skewed User Check-in Distribution TRADE AREA ANALYSIS USING FOURSQUARE DATA 3.1 General TAA Process Trade Area analysis gives a business information about where its customers are from, how far they travel  ... 
doi:10.1145/2488388.2488480 dblp:conf/www/QuZ13 fatcat:acuidyyfpbempdmtubuw6ixabi

Privacy-Aware Human Mobility Prediction via Adversarial Networks [article]

Yuting Zhan, Alex Kyllo, Afra Mashhadi, Hamed Haddadi
2022 arXiv   pre-print
Our proposed architecture reports a Pareto Frontier analysis that enables the user to assess this trade-off as a function of Lagrangian loss weight parameters.  ...  We quantify the utility-privacy trade-off of mobility datasets in terms of trajectory reconstruction risk, user re-identification risk, and mobility predictability.  ...  Utility-Privacy Analysis In this section, we first present the utility-privacy trade-off analysis between TrajGAN and our proposed LSTM-PAE in terms of the mobility prediction accuracy (i.e., U ) and user  ... 
arXiv:2201.07519v1 fatcat:2uvd6a4ds5fwhjklkn2s4pablq

Privacy-Aware Adversarial Network in Human Mobility Prediction [article]

Yuting Zhan, Hamed Haddadi, Afra Mashhadi
2022 arXiv   pre-print
We report an exploratory analysis that enables the user to assess this trade-off with a specific loss function and its weight parameters.  ...  We train the mechanism by quantifying privacy-utility trade-off of mobility datasets in terms of trajectory reconstruction risk, user re-identification risk, and mobility predictability.  ...  different mobility tasks and quantify the privacy and utility bound of the target mobility dataset, along with a trade-off analysis between these contrasting objectives. • We report the analysis of Mo-PAE  ... 
arXiv:2208.05009v1 fatcat:vh4d7vr4ynbtrbzo36sekatmym

Mobile Phone Metadata for Development [article]

Damien C. Jacques
2018 arXiv   pre-print
Finally, a trade-off exists between privacy and utility when using sensitive data like CDRs.  ...  Mobile phones are now widely adopted by most of the world population. Each time a call is made (or an SMS sent), a Call Detail Record (CDR) is generated by the telecom companies for billing purpose.  ...  Selecting a dataset Selecting a data source for analysis is a trade-off between spatial and temporal resolution, and data accessibility [21] .  ... 
arXiv:1806.03086v1 fatcat:3jh3bjpo5zf4fp26ccxoevp6ly

Wide-Area Data Analytics [article]

Rachit Agarwal, Jen Rexford with contributions from numerous workshop attendees
2020 arXiv   pre-print
Wide-area data analytics is any analysis of data that is generated by, or stored at, geographically dispersed entities.  ...  Often, some portion of the analysis may take place on the end-host or edge cloud (to respect user privacy and reduce the volume of data) while relying on remote clouds to complete the analysis (to leverage  ...  Wide-area data analytics is any analysis of data that is generated by, or stored at, geographically dispersed entities.  ... 
arXiv:2006.10188v1 fatcat:gwphgw7kz5cjxldmpxlab2jqry

Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during COVID-19 in New York City

Yuqin Jiang, Xiao Huang, Zhenlong Li
2021 ISPRS International Journal of Geo-Information  
phone location, indicating that in some applications, open-access social media data can generate similar results to private data.  ...  The results of this study can be further used for human mobility analysis and the battle against COVID-19.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/ijgi10050344 fatcat:s4fj4jc44jd5fkgvznn2see6z4

Human Mobility Patterns for Different Regions in Myanmar Based on CDRs Data

Kyaing Kyaing, KoKo Lwin, Yoshihide Sekimoto
2017 IPTEK Journal of Proceedings Series  
Therefore, this paper focuses to analyze different human mobility patterns for the different regions in Myanmar by using Call Detail Records (CDRs) Data.  ...  Such studies could be useful for creating transport model of mobility pattern. The numbers of trip generated are obtained by using CDRs over seven days period.  ...  The CDRs and big data analysis has also been used in the area of health management.  ... 
doi:10.12962/j23546026.y2017i6.3271 fatcat:fub33bdsljg5bmtzfjmsphrn7u

Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Luís Rosa, Fábio Silva, Cesar Analide
2021 Smart Cities  
of human mobility.  ...  The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges  ...  Data Availability Statement: No new data were created or analyzed in this study. Data sharing is not applicable to this article.  ... 
doi:10.3390/smartcities4020046 fatcat:lndroanudzbe7hfm53mzy2jph4

Understanding user spatial behaviors for location-based recommendations

Jun Zhang, Chun-yuen Teng, Yan Qu
2013 Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion  
The results of this study have direct implications for location-based recommendation systems.  ...  In this paper, we introduce a network-based method to study user spatial behaviors based on check-in histories.  ...  LOCATION DATA AND TRAJECTORY NETWORK OF MOBILE USERS Location Data of Mobile Users Widespread usage of mobile phones enables us to collect rich location data from location-based services such as Foursquare  ... 
doi:10.1145/2487788.2488096 dblp:conf/www/ZhangTQ13 fatcat:rcmodqslqfbpbdgsonsdqxy3su

Challenges and enablers of augmented reality technology for in situ walkthrough applications

Ivan Mutis, Abhijeet Ambekar
2020 Journal of Information Technology in Construction  
The approach, named "i-Tracker", overlays visualizations of designs by creating virtual content to be superimposed into physical contexts. i-Tracker uses the latest generation of mobile computing technology  ...  In the example use case, the device's relative position and orientation with respect to the user are estimated.  ...  location tracking, using an indoor position system for location awareness and navigation management; (2) spatially-located design components, using computer-generated 3D objects; and (3) text-based representations  ... 
doi:10.36680/j.itcon.2020.003 fatcat:gvv4dumpnfbgpmmuezskrk43cu

Dynamic intelligent paging in mobile telecommunication network

2018 Sadhana (Bangalore)  
The novelty of this work is that instead of using theoretically predicted data it uses actual CDR data to profile the users. Keywords.  ...  We propose dynamic intelligent paging using the history of subscribers' behaviour directly from a CDR dataset along with knowledge of users' past location to predict their next location and thus reducing  ...  Comparison analysis of various users This section furnishes the detailed paging characteristics of different mobile users as test cases using the CDR data.  ... 
doi:10.1007/s12046-018-0804-3 fatcat:xcytw7strrgrnce7evol267unm

ConvenienceProbe: A Phone-Based System for Retail Trade-Area Analysis

Chuang-Wen You, Hsin-Liu Cindy Kao, Bo-Jhang Ho, Yu-Han Tiffany Chen, Wei-Fehng Wang, Lien-Ti Bei, Hao-Hua Chu, Ming-Syan Chen
2014 IEEE pervasive computing  
This paper introduces a phone-based data collection system, called ConvenienceProbe, for retail trade area analysis.  ...  Index Terms-Phone sensing, data collection and analysis, consumer behavior and marketing research.  ...  research can leverage phone-based data collection for future retail trade area analysis.  ... 
doi:10.1109/mprv.2013.24 fatcat:wtj64aka2bbyto6qwfud2ywo3m

Mobile-Apps Development for Biodiesel Distribution Tracking System and Supply Chain Monitoring

M. Iman Santoso, Bernd Noche
2015 Operations and Supply Chain Management An International Journal  
The mobile-application has been tested for performance analysis on processor, battery and data usage.  ...  Determining the fact that biodiesel is degradable over time, the system also possessed by feature to maintain the biodiesel quality during transport, besides bringing-out simple and user-friendly supply-trading  ...  The performance-analysis tests every menu of the mobile-app and records the processor and battery utilizations per-hour and data-consumptions.  ... 
doi:10.31387/oscm0190133 fatcat:p3txsbu2qrcd5oc5j7rqmifwbq

Mobile Localization Based on Clustering

Malika BELKADI, Rachida AOUDJIT, Mehammed DAOUI, Mustapha LALAM
2013 International Journal of Computer Network and Information Security  
This technique can be implemented on next generation mobile networks by exp loiting the data available on the users (age, function, address, workplace... etc), existing infrastructure (roads, location  ...  of base stations... etc) and the users' displacements history The simu lations are carried out using a realistic model of movements.  ...  Th is train ing yields the optimal value of K that corresponds to the optimal nu mber of location areas. This step must be conducted by using in general a samp le of realistic data.  ... 
doi:10.5815/ijcnis.2013.09.05 fatcat:7vaogsrzmbfchp7gzkqghp5roe

Opportunistic IoT: Exploring the social side of the internet of things

Bin Guo, Zhiwen Yu, Xingshe Zhou, Daqing Zhang
2012 Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD)  
Under its vision, the next-generation Internet will promote the harmonious interaction between human, society, and smart things.  ...  By analyzing the tight-coupled relationship between human and opportunistic connection of smart things (e.g., mobile phones, vehicles), we propose Opportunistic IoT.  ...  For example, in opportunistic advertising services, sensitive personal information such as user location, mobility patterns, preferences may be used by data dissemination protocols.  ... 
doi:10.1109/cscwd.2012.6221932 dblp:conf/cscwd/GuoYZZ12 fatcat:62t4224durc2pkgdesh25hnbym
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