Handbook of Mobility Data Mining, Volume 1

Data Preprocessing and Visualization

Haoran Zhang

• Publisher: Elsevier
• Year: 2023
• Print ISBN: 9780443184284
• eBook ISBN: 9780443184291
• Topic: Business
• Subtopic: Operations
• Index: Business

Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining. - Introduces the characteristics of different mobility data sources, like GPS, CDR, and sensor-based mobility data - Summarizes existing visualization technologies of the current transportation system into a multi-view frame, covering the perspective of the three leading actors - Provides recommendations for practical open-source tools and libraries for system visualization - Stems from the editor's strong network of global transport authorities and transport companies, providing a solid knowledge structure and data foundation as well as geographical and stakeholder coverage

Table of contents

• Title of Book
• Cover image
• Title page
• Table of Contents
• Copyright
• List of contributors
• Preface
• Acknowledgments
• Chapter One An overview of urban data variety and respective value to urban computing
• Chapter Two Quality assessment for big mobility data
• Chapter Three Noise filter method for mobile trajectory data
• Chapter Four Modifiable areal unit problem in grided population density map
• Chapter Five Few-shot count estimation of mobility dynamics by scaling GPS
• Chapter Six Trip segmentation and mode detection for human mobility data
• Chapter Seven Benchmark of travel mode detection with smartphone GPS trajectories
• Chapter Eight Trajectory super-resolution methods
• Chapter Nine Map-matching for low accuracy trajectory data
• Chapter Ten Social information labeling for individual mobile phone user
• Chapter eleven Web-based spatio-temporal data visualization technology for urban digital twin
• Index