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Open AccessJournal ArticleDOI

Estimating Origin-Destination Flows Using Mobile Phone Location Data

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TLDR
Using an algorithm to analyze opportunistically collected mobile phone location data, the authors estimate weekday and weekend travel patterns of a large metropolitan area with high accuracy.
Abstract
Using an algorithm to analyze opportunistically collected mobile phone location data, the authors estimate weekday and weekend travel patterns of a large metropolitan area with high accuracy.

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Journal ArticleDOI

Human mobility: Models and applications

TL;DR: This survey reviews the approaches developed to reproduce various mobility patterns, with the main focus on recent developments, and organizes the subject by differentiating between individual and population mobility and also between short-range and long-range mobility.
Journal ArticleDOI

Social Sensing: A New Approach to Understanding Our Socioeconomic Environments

TL;DR: In this article, the authors use the term social sensing for individual-level big geospatial data and the associat- tation of the data to understand the socioeconomic environments.
Journal ArticleDOI

Development of origin–destination matrices using mobile phone call data

TL;DR: This research proposes a methodology to develop OD matrices using mobile phone Call Detail Records (CDR) and limited traffic counts to determine the scaling factors that result best matches with the observed traffic counts.
Journal ArticleDOI

A new insight into land use classification based on aggregated mobile phone data

TL;DR: An analysis of the land-use classification results shows that the detection rate decreases as the heterogeneity of land use increases, and increases as the density of cell phone towers increases.
Proceedings ArticleDOI

Configuring participation: on how we involve people in design

TL;DR: It is argued that much HCI research leans towards configuring participation, and three questions are considered important for understanding how HCI configures participation; Who initiates, directs and benefits from user participation in design?
References
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Journal ArticleDOI

Understanding individual human mobility patterns

TL;DR: In this article, the authors study the trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six-month period and find that the individual travel patterns collapse into a single spatial probability distribution, indicating that humans follow simple reproducible patterns.
Journal ArticleDOI

Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome

TL;DR: A new real-time urban monitoring system that marks the unprecedented monitoring of a large urban area, which covered most of the city of Rome, in real time using a variety of sensing systems and will hopefully open the way to a new paradigm of understanding and optimizing urban dynamics.
Journal ArticleDOI

Digital Footprinting: Uncovering Tourists with User-Generated Content

TL;DR: In this paper, the authors consider two types of digital traces from Rome, Italy: georeferenced photos made publicly available on the photo-sharing Web site Flickr and aggregate records of wireless network events generated by mobile phone users making calls and sending text messages on the Telecom Italia Mobile (TIM) system.
Book ChapterDOI

The geography of taste: analyzing cell-phone mobility and social events

TL;DR: It is shown that the origins of people attending an event are strongly correlated to the type of event, with implications in city management, since the knowledge of additive flows can be a critical information on which to take decisions about events management and congestion mitigation.
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