Identification of various transport modes and rail transit behaviors from mobile CDR data: A case of Yangon City

Abstract

Abstract Developing countries worldwide are increasingly experiencing rapid urbanization and modernization, including Myanmar. Mobile call detail records provide new opportunities to measure transport demands for transportation planning. This study aims to identify mobile phone users’ transport modes and mode-transfer behaviors based on their call activities. Daily origin–destination trips were generated to detect various transport modes based on their travel speeds, which were measured for each transport mode based on ground truth data collection using a global positioning system. When the travel speed is within the predefined range for a transport mode, the traveler can be considered to be using this transport mode. The results were validated by the Person Trip Survey for Comprehensive Urban Transport Plan of the Greater Yangon. This study also analyzed the mobile phone users’ mode-transfer behaviors in Yangon. These results will be useful for predicting travel demands in improving the transportation network and public facility management.