2019 Volume 13 Pages 1114-1133
Mobile phone and social media networks are generating a massive amount of datasets that contain human social interacting activities and mobility information. Cell phones and mobile networks can consider as digital footprints of the people under mobile sensing technology. This paper aims to present a method to classify land use types based on mobile call activities computed from Call Detail Records (CDRs). In this paper, mobile calls are aggregated by Base Transceiver Station (BTS) at one-hour intervals and clustered using kmeans clustering method. According to clustering method, four land use types in eight clusters are generated, named as industrial areas, mixed land use areas, residential in urbanized area and periphery area. The development of land use map was validated with map of Japan International Cooperation Agency (JICA) survey. This map will help to urban and city planners to build a sustainable urban environment as a case of Yangon City.
