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20152023
most citedMultiscale Entropy in the Spatial Context of Cities

2 citations · 5 across the 5 of their papers we have counts for

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6 papers · 1 filter

physics.soc-ph2023

Urban Segregation on multilayered transport networks: a random walk approach

Mateo Neira, Carlos Molinero, Stephen Marshall +1

We present a novel method for analysing socio-spatial segregation in cities by considering constraints imposed by transportation networks. Using a multilayered network approach, we…

physics.soc-ph2021

Uncovering structural diversity in commuting networks. Global and local entropy

Valentina Marin, Carlos Molinero, Elsa Arcaute

In this paper we revisit the concept of mobility entropy. Over time, the structure of spatial interactions among urban centres tends to become more complex and evolves from central…

physics.soc-ph20201 cited

A model for the generation of road networks

Carlos Molinero, Alberto Hernando

As part of the effort undertaken to understand urban environments and their generation, we need to explore models that produce statistically valid configurations of roads. These so…

physics.soc-ph2019

How the geometry of cities explains urban scaling laws and determines their exponents

Carlos Molinero, Stefan Thurner

Urban scaling laws relate socio-economic, behavioral, and physical variables to the population size of cities and allow for a new paradigm of city planning, and an understanding of…

physics.soc-ph20172 cited

Multiscale Entropy in the Spatial Context of Cities

Martin Barner, Clémentine Cottineau, Carlos Molinero +3

Entropy relates the fast, microscopic behaviour of the elements in a system to its slow, macroscopic state. We propose to use it to explain how, as complexity theory suggests, smal…

physics.soc-ph20152 cited

The Fractured Nature of British Politics

Carlos Molinero, Elsa Arcaute, Duncan Smith +1

The outcome of the British General Election to be held in just over one week's time is widely regarded as the most difficult in living memory to predict. Current polls suggest that…