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JDR Vol.15 No.3 pp. 437-445
(2020)
doi: 10.20965/jdr.2020.p0437

Paper:

Analysis of Trip Distributions of Human Mobility Patterns and Their Transit Behaviors Using Mobile Call Detail Records

Kyaing*,†, Ko Ko Lwin**, and Yoshihide Sekimoto**

*Department of Civil Engineering, Yangon Technological University (YTU)
Insein Road, Gyogone, Insein, Yangon 11011, Myanmar

Corresponding author

**Institute of Industrial Science (IIS), The University of Tokyo, Tokyo, Japan

Received:
August 1, 2019
Accepted:
January 21, 2020
Published:
March 30, 2020
Keywords:
call detail records, origin-destination, rail users, non-rail users, transit behaviors
Abstract

Rapid urbanization and modernization are increasing worldwide, including in Myanmar. Mobile call detail records (CDRs) provide new opportunities for measuring transport demands and problems in transportation planning. This research aims to analyze trip distributions and transit behaviors of mobile phone users based on their call activities. Origin-Destination (O-D) pairs were computed for the entire city, and the trip distributions help understand human mobility. It was found that zone-to-zone flow has the highest flow in commercial and industrial areas. Moreover, the logical assumptions were specified to extract the transit behaviors of users. The results indicate the degree of mode-to-mode transfer behaviors of users. Among the four categories of transit usage, only rail users do not transfer to other modes, having the lowest proportion, with other mode-to-other mode transfers having the highest proportion. The results were validated with the Person Trip Survey for Comprehensive Urban Transport Plan of the Greater Yangon. This study contributes significantly to the expansion of current and potential future transit systems, which can provide a new and improved transport system for Yangon City to meet its demands. This information is helpful in conducting disaster management and emergency preparedness in terms of trip distributions of human mobility patterns changing over space and time and the transit behaviors of the transferring mode in daily trips.

Cite this article as:
Kyaing, K. Lwin, and Y. Sekimoto, “Analysis of Trip Distributions of Human Mobility Patterns and Their Transit Behaviors Using Mobile Call Detail Records,” J. Disaster Res., Vol.15, No.3, pp. 437-445, 2020.
Data files:
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Last updated on Jul. 04, 2020