Bramson et al. Applied Network Science (2020) 5:7 Applied Network Science https://doi.org/10.1007/s41109-019-0244-y RESEARCH Open Access Social and economic flows across multimodal transportation networks in the Greater Tokyo Area Aaron Bramson1,2,3,4* , Megumi Hori1, Bingran Zha1 and Hirohisa Inamoto1 *Correspondence:
[email protected] Abstract 1 GA Technologies Inc., Roppongi We model the flow of human capital and resources across multimodal transportation Grand Tower 40F, Roppongi 3-2-1, Minato-ku, Tokyo, 106-6290, Japan networks throughout the Greater Tokyo Area. Our transportation networks include 2Laboratory for Symbolic Cognitive trains, buses, and roads integrated with a walking network among a geographically Development, RIKEN Center for grounded hexagonal grid and connecting nodes of different modes. The hexagonal Biosystems Dynamics Research, 6-7-3 Minatojima-Minamimachi, grid holds data on both the working population and number of jobs from which we Chuo-ku, Kobe 650-0047, Japan built probability distributions for the origins and destinations of commuting trips. Using Full list of author information is both the network simplex method and stochastically generated origin-destination trips available at the end of the article we estimate the population flows necessary to satisfy this demand. Rather than micro-simulations of actual commuting patterns, congestion, or route planning, our approach aims to uncover patterns in the aggregate flow of human resources to and from economic opportunities. We describe the details of the socioeconomic data, network generation, and the results of our exploratory analysis, then discuss the implications of these findings for transportation usage and future work.