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Open AccessJournal ArticleDOI

Digital Footprinting: Uncovering Tourists with User-Generated Content

TLDR
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.
Abstract
Novel methods and tools are being developed to explore the significance of the new types of user-related spatiotemporal data. This approach helps uncover the presence and movements of tourists from cell phone network data and the georeferenced photos they generate. A city's visitors have many ways of leaving voluntary or involuntary electronic trails: prior to their visits, tourists generate server log entries when they consult digital maps or travel Web sites; during their visit, they leave traces on wireless networks whenever they use their mobile phones; and after their visit, they might add online reviews and photos. Broadly speaking then, there are two types of footprint: active and passive. Passive tracks are left through interaction with an infrastructure, such as a mobile phone network, that produces entries in locational logs; active prints come from the users themselves when they expose locational data in photos, messages, and sensor measurements. In this article, we 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.

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Journal ArticleDOI

Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice

TL;DR: A recent survey of volunteer geographic information (VGI) for geography and geographers can be found in this article with an eye toward identifying its potential in our field, as well as the most pressing research needed to realize this potential.
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

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

Estimating Origin-Destination Flows Using Mobile Phone Location Data

TL;DR: 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.
Journal ArticleDOI

Exploring place through user-generated content: Using Flickr to describe city cores

TL;DR: Using Flickr metadata, it is possible not only to describe the use of the term Downtown across the USA, but also to explore the borders of city center neighborhoods at the level of individual cities, whilst accounting for bias by theUse of tag profiles.
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

Reality mining: sensing complex social systems

TL;DR: The ability to use standard Bluetooth-enabled mobile telephones to measure information access and use in different contexts, recognize social patterns in daily user activity, infer relationships, identify socially significant locations, and model organizational rhythms is demonstrated.
Journal ArticleDOI

Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis

TL;DR: The ‘Mobile Landscapes' project is presented: an application in the metropolitan area of Milan, Italy, based on the geographical mapping of cell phone usage at different times of the day, which enables a graphic representation of the intensity of urban activities and their evolution through space and time.
Proceedings Article

Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0

TL;DR: Much progress has been made in the past two decades, and increasingly since the popularizing of the Internet and the advent of the Web, in exploiting new technologies in support of the dissemination of geographic information.
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.
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