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- W2809112595 abstract "This paper introduces a pilot study of developing Activity-BAsed Traveler Analyzer (ABATA) using the Big Data. The mobile phone bigdata is used to estimate total activity population in a case study area, Gangnam, Seoul. The pilot system estimates the activity population and the derived travel demand from the activities taken into account for individual schedules and activity categories (home, work, shopping, and leisure) with respect to land use types based on the various data inventory. The transportation planners will find this case study to be of interest with regards to the simulation results on the socio-demographic factors and land use changes." @default.
- W2809112595 created "2018-06-29" @default.
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- W2809112595 date "2018-01-01" @default.
- W2809112595 modified "2023-09-24" @default.
- W2809112595 title "Activity-Based Traveler Analyzer Using Mobile and Socioeconomic Bigdata: Case Study of Seoul in Korea" @default.
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- W2809112595 doi "https://doi.org/10.1007/978-3-319-94301-5_24" @default.
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