Geometrical effects on mobility

by   Jorge H. Lopez, et al.

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 displacements CCDF can be attributed to the connectivity of the underlying street network. It is remarkably that for some proportion of streets we got a linear function for such function, and as far as we know this behavior has not been reported nor considered. Therefore, it is advisable to analyze experimental in the light of connectivity of the street network to make correlations with the present work.


page 1

page 2

page 3

page 4


Connectivity and interference in device-to-device networks in Poisson-Voronoi cities

To study the overall connectivity in device-to-device networks in cities...

Extraction Urban Clusters from Geospatial Data: A Case Study from Switzerland

Different techniques were developed to extract urban agglomerations from...

Percolation for D2D Networks on Street Systems

We study fundamental characteristics for the connectivity of multi-hop D...

Xenakis: Experimenting with Data, Cities, and Sounds

In this work, we report on the results and lessons learned from differen...

Unsupervised Classification of Street Architectures Based on InfoGAN

Street architectures play an essential role in city image and streetscap...

Local Indicator of Colocation Quotient with a Statistical Significance Test: Examining Spatial Association of Crime and Facilities

Most existing point-based colocation methods are global measures (e.g., ...

Please sign up or login with your details

Forgot password? Click here to reset