IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Using Call Detail Records of Mobile Network Operators for Transportation Studies

Using Call Detail Records of Mobile Network Operators for Transportation Studies
View Sample PDF
Author(s): Erki Saluveer (Positium LBS, Estonia)and Rein Ahas (University of Tartu, Estonia)
Copyright: 2018
Pages: 16
Source title: Intelligent Transportation and Planning: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5210-9.ch020

Purchase

View Using Call Detail Records of Mobile Network Operators for Transportation Studies on the publisher's website for pricing and purchasing information.

Abstract

Contemporary transportation research is seeing a steady incline in the use of new, digital tracking data. The necessity for such new types of data has risen from the continuous growth of society's mobility, the attractiveness of big data, and the need for data that could be collected automatically to be used in developing various monitoring systems. However, introducing new types of data requires the developing and thorough testing of new methodologies. In the current chapter, the authors introduce some methodological issues related to using passive mobile positioning data in transportation research. The Call Detail Records (CDR) and Data Detail Records (DDR) of Mobile Network Operators are a set of data that are automatically recorded and used with increasing frequency by scientists, including transportation researchers and developers of monitoring systems. The authors go on to introduce the Estonian experience in managing such data, spatial and temporal interpolation, the determining of anchor points, and activities responsible for movement. They assess both positive and negative aspects of using passive mobile positioning data and briefly consider legislation and privacy issues in regards to such data.

Related Content

N. Geethanjali, K. M. Ashifa, Avantika Raina, Jayashree Patil, Rameshwaran Byloppilly, S. Suman Rajest. © 2024. 19 pages.
Praveen Kakada, Muhammed Shafi M. K.. © 2024. 14 pages.
P. S. Venkateswaran, Divya Marupaka, Sachin Parate, Amit Bhanushali, Latha Thammareddi, P. Paramasivan. © 2024. 15 pages.
M. Lishmah Dominic, P. S. Venkateswaran, Latha Thamma Reddi, Sandeep Rangineni, R. Regin, S. Suman Rajest. © 2024. 15 pages.
S. Sivabala, P. Vidyasri. © 2024. 23 pages.
H. Hajra, G. Jayalakshmi. © 2024. 22 pages.
Anusha Thakur. © 2024. 15 pages.
Body Bottom