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@ARTICLE{Lee:904536,
      author       = {Lee, Ji-Hye and Goh, Segun and Lee, Keumsook and Choi, M.
                      Y.},
      title        = {{S}patiotemporal distributions of population in {S}eoul:
                      joint influence of ridership and accessibility of the subway
                      system},
      journal      = {EPJ Data Science},
      volume       = {10},
      number       = {1},
      issn         = {2193-1127},
      address      = {Heidelberg [u.a.]},
      publisher    = {Springer Open},
      reportid     = {FZJ-2021-06106},
      pages        = {41},
      year         = {2021},
      abstract     = {Moving along with daily life, urban residents and commuters
                      create characteristic spatiotemporal patterns which vary
                      extensively with the time of day. These patterns are formed
                      via traffic flows: accordingly, understanding the impact of
                      transportation system is essential for urban planners to
                      evaluate expected urban activities. To explore them, we
                      examine specifically population distributions in Seoul City
                      by analyzing hourly population data based on mobile phone
                      location records in combination with a couple of indicators
                      of the Seoul Subway system. Through clustering and principal
                      component analyses, we first demonstrate that the spatial
                      distribution of the population is categorized according to
                      the time of day, i.e., night, daytime, and evening,
                      variations across which reflect the morphology of land use.
                      We then examine the influence of the subway system on the
                      population, employing ridership and accessibility as
                      indicators. Our linear regression analysis shows that both
                      are associated with the daytime and the evening populations,
                      which implies that only commercial activities are
                      substantially coupled to the subway system. Further, we find
                      that the distinctive difference of night population is
                      encoded in the probability distributions; this is elucidated
                      by means of a multiplicative growth model for the
                      morphological evolution of Seoul, revealing decentralization
                      of residential areas and centralization of commercial areas.
                      This study sheds light on the interplay of a public
                      transportation system and land use, which is of relevance to
                      planners and policymakers wishing to develop neighborhoods
                      in support of sustainable modes.},
      cin          = {IAS-2 / IBI-5},
      ddc          = {540},
      cid          = {I:(DE-Juel1)IAS-2-20090406 / I:(DE-Juel1)IBI-5-20200312},
      pnm          = {5243 - Information Processing in Distributed Systems
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5243},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000683716900001},
      doi          = {10.1140/epjds/s13688-021-00298-3},
      url          = {https://juser.fz-juelich.de/record/904536},
}