Geometrical effects on mobility
Jorge H. Lopez

TL;DR
This study investigates how random street deletions in synthetic tessellated cities affect displacement statistics, revealing that street connectivity significantly influences the shape of displacement distribution functions.
Contribution
It introduces the novel observation that street network connectivity determines the form of displacement CCDFs, including a previously unreported linear behavior.
Findings
Displacement CCDFs transition from stretched exponential to linear and exponential forms as streets are deleted.
Connectivity of street networks critically influences displacement distribution shapes.
Linear CCDF behavior observed for certain street deletion proportions, a new finding in the literature.
Abstract
In this paper we analyze the effect of randomly deleting streets of a synthetic city on the statistics of displacements. Our city is constituted initially by a set of streets that form a regular tessellation of the euclidean plane. Therefore we will have three types of cities, formed by squares, triangles or hexagons. We studied the complementary cumulative distribution function for displacements (CCDF). For the whole set of streets the CCDF is a stretched exponential, and as streets are deleted this function becomes a linear function and then two clear different exponentials. This behavior is qualitatively the same for all the tessellations. Most of this functions has been reported in the literature when studying the displacements of individuals based on cell data trajectories and GPS information. However, in the light of this work, the appearance of different functions for…
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Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Urban Transport and Accessibility · Urban Design and Spatial Analysis
