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Transportation Analytics in the Era of Big Data

Overview of attention for book
Cover of 'Transportation Analytics in the Era of Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Beyond Geotagged Tweets: Exploring the Geolocalisation of Tweets for Transportation Applications
  3. Altmetric Badge
    Chapter 2 Social Media in Transportation Research and Promising Applications
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    Chapter 3 Ground Transportation Big Data Analytics and Third Party Validation: Solutions for a New Era of Regulation and Private Sector Innovation
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    Chapter 4 A Privacy-Preserving Urban Traffic Estimation System
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    Chapter 5 Data, Methods, and Applications of Traffic Source Prediction
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    Chapter 6 Analyzing the Spatial and Temporal Characteristics of Subway Passenger Flow Based on Smart Card Data
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    Chapter 7 An Initial Evaluation of the Impact of Location Obfuscation Mechanisms on Geospatial Analysis
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    Chapter 8 PETRA: The PErsonal TRansport Advisor Platform and Services
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    Chapter 9 Mobility Pattern Identification Based on Mobile Phone Data
Attention for Chapter 7: An Initial Evaluation of the Impact of Location Obfuscation Mechanisms on Geospatial Analysis
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Chapter title
An Initial Evaluation of the Impact of Location Obfuscation Mechanisms on Geospatial Analysis
Chapter number 7
Book title
Transportation Analytics in the Era of Big Data
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-75862-6_7
Book ISBNs
978-3-31-975861-9, 978-3-31-975862-6
Authors

Pedro Wightman, Mayra Zurbarán, Wightman, Pedro, Zurbarán, Mayra

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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