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Title
Travel behavior characteristics analysis technology based on mobile phone location data: methodology and empirical research / Fei Yang, Zhenxing Yao.
ISBN
9789811680083 (electronic bk.)
9811680086 (electronic bk.)
9811680078
9789811680076
Publication Details
Singapore : Springer, 2022.
Language
English
Description
1 online resource
Item Number
10.1007/978-981-16-8008-3 doi
Call Number
HE336.C5
Dewey Decimal Classification
388.4
Summary
This book is devoted to the technology and methodology of individual travel behavior analysis and refined travel information extraction. Traditional resident trip surveys are characterized by many shortcomings, such as subjective memory errors, difficulty in organization and high cost. Therefore, in this book, a set of refined extraction and analysis techniques for individual travel activities is proposed. It provides a solid foundation for the optimization and reconstruction of traffic theoretical models, urban traffic planning, management and decision-making. This book helps traffic engineering researchers, traffic engineering technicians and traffic industry managers understand the difficulties and challenges faced by transportation big data. Additionally, it helps them adapt to changes in traffic demand and the technological environment to achieve theoretical innovation and technological reform.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 29, 2022).
Available in Other Form
Print version: 9789811680076
Chapter 1. Introduction
Chapter 2. 2 Literature Review
Chapter 3. Methodology for Mobile Phone Location Data Mining
Chapter 4. Mobile Phone Sensor Data Collection And Analysis
Chapter 5. Pedestrian-Traffic Flow-Communication's Integrated Simulation Platform Construction
Chapter 6. Empirical Study on Trip Information Extraction Based on Mobile Phone Sensor Data
Chapter 7. Influence Parameters and Sensitivity Analysis
Chapter 8. Thinking about Application of Refined Travel Data in Traffic Planning
Chapter 9. Outlook
Appendix.