Registered Data

[01202] Analysis and modelling of human flows

  • Session Time & Room : 4E (Aug.24, 17:40-19:20) @G302
  • Type : Proposal of Minisymposium
  • Abstract : People are moving from one location to another in their daily lives, for commuting, shopping, entertainment, schools, etc. This human flow provides vital information for location decision-making for commercial or public buildings, optimization of transportation systems, urban planning by policymakers, and measures for movement restrictions under a pandemic like COVID-19. This mini-symposium will discuss recent developments in the modeling and analysis of human mobility from an interdisciplinary perspective, including urban studies, spatial economics, network science, and applied mathematics.
  • Organizer(s) : Takaaki Aoki and Naoya Fujiwara
  • Classification : 05C21
  • Minisymposium Program :
    • 01202 (1/1) : 4E @G302 [Chair: Takaaki Aoki]
      • [03707] Recent Public Data Related with Urban Vehicle Traffic Simulation
        • Format : Talk at Waseda University
        • Author(s) :
          • Takeshi Uchitane (Aichi Institute of Technology)
        • Abstract : Various kinds of social data are available in Japan in order to realize and evaluate vehicle simulations within an urban-scale digital map. In such the social data, open data is becoming more and more common. In our discussion, two case studies of vehicle simulations and related open data are explained. Because the target locations are different between Kobe city and Aichi prefecture, different kinds of open data are required to make appropriate origin-destination pairs.
      • [04718] Urban scale pedestrian simulation and analysis around Kobe City center
        • Format : Talk at Waseda University
        • Author(s) :
          • Daigo Umemoto (RIKEN R-CCS)
          • Maiko Kikuchi (NTT DOCOMO, INC)
          • Ayako Terui (NTT DOCOMO, INC)
          • Koutarou Abe (NTT DOCOMO, INC)
          • Ryuushi Shimizu (NTT DOCOMO, INC)
          • Katsuki Hirashige (NTT DOCOMO, INC)
          • Nobuyasu Ito (RIKEN R-CCS)
          • Itsuki Noda (Hokudai)
        • Abstract : We constructed a pedestrian evacuation simulator for Kobe City center, using population based on cell phone demographics provided by NTT DoCoMo, Inc., pedestrian simulator CrowdWalk, and Open Street Map with manually added signals. The evacuation time was initially simulated as 25,685 seconds. Decentralizing evacuation routes reduced it to 17,780 seconds. The signal removal further reduced it to 9,550 seconds. The signal removal alone gave 12,475 seconds: interestingly, overall reduction was about 50% in both cases.
      • [02895] Potential field of human flow extracted by Hodge-Kodaira decomposition
        • Format : Talk at Waseda University
        • Author(s) :
          • Takaaki Aoki (Shiga university, japan)
          • Shota Fujishima (Hitotsubashi University)
          • Naoya Fujiwara (Tohoku University)
        • Abstract : People are moving daily from one location to another for commuting, shopping, entertainment, schools, etc. Human movements provide vital information for unfolding the actual shapes of cities. Here, we show the potential of human flows using the orthogonal decomposition of the combinatorial Hodge theory for the origin-destination matrix. The potential landscape visualizes an intuitive perspective of the urban structure behind the massive movements and helps us examine the complex spatial structures in contemporary metropolitan areas.
      • [03549] Towards science of multi-scale human flow
        • Format : Talk at Waseda University
        • Author(s) :
          • Naoya Fujiwara (Tohoku University)
        • Abstract : In this talk, we present our recent findings in data analysis and mathematical models of human mobility, with an emphasis on characteristics of different temporal and spatial scales. The examples include data analysis of evacuation behaviors for severe disasters, change in the mobility patterns after COVID-19 pandemic, and mathematical models for long-term migration patterns. These results would provide hints to obtain a general framework for studying and understanding human mobility.