Abstract
We model the flow of human capital and resources across multimodal transportation networks throughout the Greater Tokyo Area. Our transportation networks include trains, buses, and roads integrated with a walking network among a geographically grounded hexagonal grid and connecting nodes of different modes. The hexagonal grid holds data on both the working population and number of jobs from which we built probability distributions for the origins and destinations of commuting trips. Using both the network simplex method and stochastically generated origin-destination trips 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.
Highlights
We are interested in how transportation networks shape the movements of people, money, goods, and opportunities in urban settings, and how these vary geographically within a metropolitan area
By combining the population distribution with the distribution of available jobs we explore, analyze, and evaluate the movements of human capital across the train, bus, and road networks throughout the Greater Tokyo Area of Japan
Here we present the outcome of analyzing the multimodal transportation network of the Greater Tokyo Area using the above methods
Summary
We are interested in how transportation networks shape the movements of people, money, goods, and opportunities in urban settings, and how these vary geographically within a metropolitan area. By combining the population distribution with the distribution of available jobs we explore, analyze, and evaluate the movements of human capital across the train, bus, and road networks throughout the Greater Tokyo Area of Japan. First we evaluate the balance of population and occupational engagements (jobs) at each microlocation (hex) to construct a map of sources and sinks of human capital. We analyze the flow of human capital from sources to sinks across the multimodal transportation network. This analysis allows us to capture aggregate patterns in the flow of personnel into workplaces and economic resources back into homes
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