JOURNAL ARTICLE
FUNDAMENTAL UNDERSTANDING OF MOBILE PHONE DATA FOR TRANSPORT APPLICATIONS.
Published In: i-Manager's Journal on Mobile Applications & Technologies, 2024, v. 11, n. 2. P. 1 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: MAURICIO, LOUIS 3 of 3
Abstract
Mobile phone data has become a valuable resource in mobility studies, providing a rich dataset for analyzing human movement. This study presents a comprehensive review of mobile phone data sources and their applications in transportation studies. It explores the strengths and limitations of data types such as call detail records (CDR), cellular signaling data (CSD), and synthetic CDR. The study discusses methodologies for estimating travel demand, generating origin-destination (OD) matrices, and conducting mode-specific OD estimation. While CDR data has proven reliable for trip purpose estimation, challenges remain in accurately predicting travel modes. The study concludes with recommendations for enhancing synthetic CDR data and expanding its use in mobility studies. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:i-Manager's Journal on Mobile Applications & Technologies. 2024/12, Vol. 11, Issue 2, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2024
- ISSN:23501413
- DOI:10.26634/jmt.11.2.21646
- Accession Number:183466717
- Copyright Statement:Copyright of i-Manager's Journal on Mobile Applications & Technologies is the property of i-manager Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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