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- W4310481543 abstract "This chapter provides an outlook for future directions of mobile network data-based urban informatics, particularly in travel behavior research. It discusses a dynamic characteristic of mobile network data that continues to change its properties and potential values with the technological advancement, which in turn poses new challenges and exciting research opportunities. This may include new paradigms for data collection as an alternative to the telecom provided data, which is rarely accessible due to data privacy regulations. There is still a need for rebalancing between the data’s utility and privacy for which data uncertainty and privacy algorithms are discussed. Future directions of mobile network data-based urban informatics will concern data mining techniques that help discover patterns and trends in trajectory data, including group movement pattern mining, trajectory clustering, and sequential pattern mining. Mining such patterns benefits travel behavior research with many applications, such as traffic detection, social gathering recognition, regional travel behavioral signature extraction, uncovering life/daily patterns, and unusual event detection." @default.
- W4310481543 created "2022-12-10" @default.
- W4310481543 creator A5014802853 @default.
- W4310481543 date "2022-11-30" @default.
- W4310481543 modified "2023-09-24" @default.
- W4310481543 title "An Outlook for Future Mobile Network Data-Driven Urban Informatics" @default.
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- W4310481543 doi "https://doi.org/10.1007/978-981-19-6714-6_9" @default.
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