Human Mobility Patterns for Different Regions in Myanmar Based on CDRs Data

Sustainable urban and transportation planning depends greatly on understanding human mobility patterns in urban area. Myanmar is one of the developing countries in ASEAN. It develops more rapidly as compare past years due to its international trade policy change and faces serious traffic problem in major cities. To solve these problem, human mobility pattern need to know for improvement. Therefore, this paper focuses to analyze different human mobility patterns for the different regions in Myanmar by using Call Detail Records (CDRs) Data. Such studies could be useful for creating transport model of mobility pattern. The numbers of trip generated are obtained by using CDRs over seven days period. CDRs of each region can be used to generate trip numbers of townships within certain time frame and time windows. In this study, average distance travelled, preferred days of long distance users and human mobility patterns at different times of weekdays and weekends in Yangon and Mandalay were analyzed. People living in Yangon area are generally more travelled than Mandalay on weekdays and weekends. The results indicated the similarities and differences in mobility patterns for both cities. This information is very useful for transport planning and future transportation developments

Towards connecting people, locations and real-world events in a cellular network

The success of personal mobile communication technologies has led an emerging expansion of the telecommunication infrastructure but also to an explosion to mobile broadband data traffic as more and more people completely rely on their mobile devices, either for work or entertainment. The continuously interaction of their mobile devices with the mobile network infrastructure creates digital traces that can be easily logged by the network operators. These digital traces can be further used, apart from billing and resource management, for large-scale population monitoring using mobile traffic analysis. They could be integrated into intelligent systems that could help at detecting exceptional events such as riots, protests or even at disaster preventions with minimal costs and improve people safety and security, or even save lives. In this paper we study the use of fully anonymized and highly aggregate cellular network data, like Call Detail Records (CDRs) to analyze the telecommunication traffic and connect people, locations and events. The results show that by analyzing the CDR data exceptional spatio-temporal patterns of mobile data can be correlated to real-world events. For example, high user network activity was mapped to religious festivals, such as Ramadan, Le Grand Magal de Touba and the Tivaouane Maouloud festival. During the Ramadan period it was noticed that the communication pattern doubled during the night with a slow start during the morning and along the day. Furthermore, a peak increase in the number of voice calls and voice calls duration in the area of Kafoutine was mapped to the Casamance Conflict in the area which resulted in four deaths. Thus, these observations could be further used to develop an intelligent system that detects exceptional events in real-time from CDRs data monitoring. Such system could be used in intelligent transportation management, urban planning, emergency situations, network resource allocation and performance optimization, etc

Impact of accessibility to diverse amenities on the mobility patterns of Lisbon inhabitants

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceRecently smart sustainable cities are becoming popular all over the world and in 2019 Moreno introduced the 15-minute city as a reinterpretation of Perry’s neighborhood unit. The 15-minute city is based on the idea that a city is divided into self-sustainable neighborhoods. There, the inhabitants have access to everything needed from living, working, supplying, caring, learning to enjoying, within 15 minutes on foot or by bicycle. Nevertheless, some criticisms have been made to this chrono-urbanism innovation, such as the risk of segregation and social inequalities. Because of that, population characteristics, their habits and what affects mobility need to be previously known. This study aims to answer how accessibility to diverse amenities influences mobility patterns of inhabitants in the city of Lisbon. Additionally, it incorporates socio-demographic factors. Hence, amenities data from open databases, socio-demographic data from census and mobility data from mobile phones were collected. Accessibility and diversity of amenities were calculated and used together with the socio-demographic characteristics to model mobility in both a global, using linear regression, and local perspective, using geographically weighted regression. Finally, the mobility models were related to other urban phenomena, namely the mean value of rent. The study revealed that accessibility to health, entertainment, retail, and recreational amenities attracts and retains population. However, these conclusions cannot be generalized to the entire city since the impact of such accessibility on mobility varies geographically. Finally, the results were compared with a similar study developed in Barcelona, enabling to contrast and discern between specific and generalized conclusions

Variação do índice de mobilidade semanal por meio de dados do Mozilla Location Service

This study develops an approach to variability of mobility between weekdays, weekends, and holidays. For this purpose, an alternative source of transport-oriented data was used, the Mozilla Location Service, which provides locational data for its collaborators. For the study of variation, a method was constructed in order to analyze the behavior of the collective, without focusing on individual patterns. No significant differences were found in the mobility index between working days, as well as between working days and Saturdays, and in the comparisons of working days with Sunday and holidays there was a significant variation. There was a trend of less mobility (rest) on holidays on Monday, compared to Thursday. The results found here corroborate, but also diverge from several studies in the literature.Este estudo desenvolve uma abordagem acerca da variação da mobilidade entre dias úteis, finais de semana e feriados. Para este fim, foi utilizada uma fonte alternativa de dados voltados a transporte, o Mozilla Location Service, serviço que fornece dados locacionais de seus colaboradores. Para o estudo da variação, um método foi construído no intuito de analisar o comportamento do coletivo, sem focar em padrões individuais. Não se encontrou diferenças significativas no índice de mobilidade entre dias úteis, bem como entre dia útil e sábado, já nas comparações de dia útil com domingo e feriados houve variação significativa. Percebeu-se uma tendência de menor mobilidade (descanso) em feriados na segunda-feira, comparados ao de quinta-feira. Os resultados encontrados aqui corroboram, mas também divergem de vários estudos da literatura