Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data: Methodology and Empirical Research

This book proposes refined extraction and analysis techniques for individual travel behavior analysis, providing a foundation for optimizing traffic theoretical models, urban traffic planning, management, and decision-making. It helps traffic engineering researchers, technicians, and industry managers understand the challenges of transportation big data and adapt to changes in traffic demand and technology.

Format: Paperback / softback
Length: 217 pages
Publication date: 21 March 2023
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the intricate realm of individual travel behavior analysis and the refined extraction of travel information. Traditional resident trip surveys often exhibit numerous shortcomings, including subjective memory errors, challenges in organization, and substantial costs. Recognizing these limitations, this book presents a novel set of advanced techniques for extracting and analyzing individual travel activities. By offering a robust foundation for optimizing and reconstructing traffic theoretical models, urban traffic planning, management, and decision-making, it empowers traffic engineering researchers, technicians, and industry managers to grapple with the complexities and complexities of transportation big data. Furthermore, it equips them with the skills necessary to adapt to evolving traffic demand and technological advancements, fostering theoretical innovation and technological reform in the field of traffic engineering.

The book begins by exploring the fundamental principles and methodologies of individual travel behavior analysis. It discusses the challenges associated with traditional survey methods, such as reliance on subjective memory and the difficulty in capturing comprehensive trip information. The authors then introduce a range of refined extraction techniques, including GPS tracking, mobile phone data, and social media analysis, to overcome these limitations. These techniques enable the collection of precise and detailed travel data, providing a more accurate representation of individual travel patterns and behaviors.

In the subsequent chapters, the book delves into the analysis of individual travel data. It discusses various analytical methods and techniques, such as data mining, machine learning, and spatial statistics, to extract valuable insights from the collected data. The authors showcase how these methods can be used to identify travel trends, patterns, and determinants, such as trip purpose, mode choice, travel time, and distance traveled. These insights are crucial for understanding the dynamics of urban traffic and developing effective transportation policies and strategies.

Furthermore, the book emphasizes the importance of integrating individual travel behavior analysis with other transportation data sources. It discusses the challenges of data interoperability and integration and proposes solutions to facilitate the exchange and utilization of data across different transportation systems. By combining individual travel behavior data with traffic data, weather data, and other relevant information, researchers and practitioners can gain a more holistic understanding of transportation systems and develop more accurate models for forecasting and managing traffic.

The book also addresses the practical applications of individual travel behavior analysis. It discusses the use of travel information in urban traffic planning, management, and decision-making processes. It highlights the importance of considering individual travel behavior in the design and implementation of transportation policies and infrastructure, such as transportation demand management strategies, traffic signal optimization, and public transportation systems. The authors provide case studies and examples to illustrate how travel behavior analysis has been applied in real-world scenarios, showcasing the potential benefits and limitations of the approach.

In conclusion, this book is a valuable resource for traffic engineering researchers, technicians, and industry managers seeking to advance their understanding of individual travel behavior analysis and the refined extraction of travel information. It provides a comprehensive and up-to-date treatment of the subject, covering the theoretical foundations, analytical methods, and practical applications of the field. By leveraging the power of advanced technologies and analytical techniques, the book empowers practitioners to address the challenges posed by transportation big data and drive theoretical innovation and technological reform in the traffic engineering industry.

Weight: 373g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811680106
Edition number: 1st ed. 2022