Live Poster Session: Zoom Link
Thursday, July 30th 1:15-2:30pm EDT
Abstract: Half of the global population already lives in cities, and by 2050 two-thirds of the world’s people are expected to live in urban areas. The speed and scale of urbanization brings tremendous challenges in developing sustainable cities. In this project, we seek to understand the road networks of cities through a geometric lens. Specifically, we explore the dimensionality of urban road networks by embedding them in the Euclidean plane. We hypothesize that cities are effectively two dimensional, that is they embed in two dimensions such that the euclidean distance between points in the embedding matches the shortest path between points in the network with little distortion. In this poster we examine the effectiveness of embeddings on different sampling techniques and observe that random samples of nodes from a larger network embed with lower stress and distortion then small subgraphs of similar order. Furthermore, we show that embeddings tend to improve as sample size increases and that cities vary in their ability to be embedded successfully.
MilesAronowFinalPosterLive Poster Session: Zoom Link
Thursday, July 30th 1:15-2:30pm EDT
Very interesting! I had never thought of cities through this lense, but it makes a lot of sense!