Publications

Medium-term changes in the patterns of internal population movements in Latin American countries: effects of the COVID-19 pandemic

Research article
Internal mobility
Facebook data
Covid-19
Latin Americo
Oct 1, 2024
Francisco Rowe, Carmen Cabrera-Arnau, Miguel González-Leonardo, Ruth Neville, Andrea Nasuto

A research agenda for GIScience in a time of disruptions

A discussion on to establish a research agenda for GIScience focusing on the relevance and real-world impact of research, adopting systems-based thinking and contextual approaches and emphasising inclusive practices.
Internal mobility
Facebook data
Covid-19
Mexico
Sep 29, 2024
Trisalyn Nelson, Amy E. Frazier, Peter Kedron, Somayeh Dodge, Bo Zhao, Michael Goodchild, Alan Murray, Sarah Battersby, Lauren Bennett, Justine I. Blanford, Carmen Cabrera-Arnau, Christophe Claramunt, Rachel Franklin, Joseph Holler, Caglar Koylu, Angela Lee, Steven Manson, Grant McKenzie, Harvey Miller, Taylor Oshan, Sergio Rey, Francisco Rowe, Seda Şalap-Ayça, Eric Shook, Seth Spielman, Wenfei Xu, John Wilson

COVID-19 y movimientos de población entre la jerarquía urbana en México. Un análisis utilizando datos digitales

Analysis of the extent and persistence of patterns of urban exodus due to COVID-19 in Mexico.
Internal mobility
Facebook data
Covid-19
Mexico
Aug 1, 2024
Miguel González-Leonardo, Carmen Cabrera-Arnau, Francisco Rowe, Andrea Nasuto, Ruth Neville

Reduced mobility? Urban exodus? Medium-term impacts of the COVID-19 pandemic on internal population movements in Latin American countries

Research article
Internal mobility
Facebook data
Covid-19
Latin Americo
Jan 30, 2024
Francisco Rowe, Carmen Cabrera-Arnau, Miguel González-Leonardo, Ruth Neville, Andrea Nasuto

“Urban Exodus” During COVID-19 in Mexico? Using Digital Data to Analyze Medium-Term Pandemic Impacts on Internal Population Movements

Research
Methods
Time series
Jan 30, 2024
Miguel González-Leonardo, Carmen Cabrera-Arnau, Ruth Neville, Andrea Nasuto, Francisco Rowe

The temporal concentration of travel demand in an urban transport network

A metric is proposed to measure the temporal concentration of travel demand across the underground network in London. A methodology is proposed to understand the spatial variability and the drivers of the temporal concentration of travel demand. The analysis uses smart travel card data facilitated by Transport for London.
Research
Urban mobility
Transport network
Spatio-temporal variability
Oct 3, 2023
Carmen Cabrera-Arnau, Liang Wei Ng, Howard Wong, Chen Zhong

Detecting the sensitive spots of the African interurban transport network

We measure the resilience of the African transport network based on the intensity of future violent events and the impact of one event on the flow that travels through the network. We use data from OpenStreetMap to construct the road network.
Research
Transport network
Network resilience
Violent conflict
Africa
Jul 12, 2023
Andrew Renninger, Valentina Marín Maureira, Carmen Cabrera-Arnau, Rafael Prieto Curiel

Inferring urban polycentricity from the variability in human mobility patterns

Smart travel card data is used to infer urban polycentricity by examining how a city departs from a well-defined monocentric model. The analysis is applied to London and Seoul.
Research
Urban mobility
Urban structure
Statistical Inference
Apr 7, 2023
Carmen Cabrera-Arnau, Chen Zhong, Michael Batty, Richardo Silva, Soon Moon Kang

Understanding internal migration in the UK before and during the COVID-19 pandemic using Twitter data

Twitter data is used to monitor internal migration patterns in the UK during the COVID-19 pandemic.
Research
Internal migration
Twitter data
Covid-19
UK
Nov 29, 2022
Yikang Wang, Chen Zhong, Carmen Cabrera-Arnau, Qili Gao

Sacaling beyond cities

An analysis of the scaling behaviour of cities beyond their boundaries by considering the emergence and growth of nearby cities, using data from OpenStreetMap.
Research
Urban analytics
City sizes
Urban scaling
Africa
Apr 5, 2022
Rafael Prieto Curiel, Carmen Cabrera-Arnau, Steven R. Bishop

Mathematical modelling of social phenomena in urban areas

Doctoral thesis in Applied mathematics, completed at UCL’s Departmet of mathematics
Research
PhD thesis
Nov 30, 2021
Carmen Cabrera-Arnau

Urban population size and road traffic collisions in Europe

An analysis of road traffic collisions in European cities from the perspective of urban scaling models
Research
Urban scaling
Road traffic collisions
Europe
Aug 27, 2021
Carmen Cabrera-Arnau, Steven R. Bishop

The effect of dragon-kings on the estimation of scaling law parameters

An analysis based on synthetic data to test the sensitivity of urban scaling law parameters to the presence of statistical outliers
Research
Urban scaling
Dragon-king cities
Nov 18, 2020
Carmen Cabrera-Arnau, Steven R. Bishop

Uncovering the behaviour of road accidents in urban areas

An analysis looking into the scaling behaviour of road traffic collisions in England and Wales, according to the degree of severity
Research
Urban scaling
Road traffic collisions
UK
Apr 15, 2020
Carmen Cabrera-Arnau, Rafael Prieto Curiel, Steven R. Bishop

A continuous binning for discrete, sparse and concentrated observations

A new method for computing functions over sparse and concentrated data is constructed.
Research
Methods
Time series
Jan 1, 2020
Rafael Prieto Curiel, Carmen Cabrera-Arnau, Mara Torres Pinedo, Humberto González Ramírez, Steven R. Bishop

Temporal and spatial analysis of the media spotlight

Study of the spatiotemporal variation of the media coverage following a natural disaster affecting multiple Mexican cities
Research
Urban scaling
Time series analysis
Media coverage
Mexico
May 1, 2019
Rafael Prieto Curiel, Carmen Cabrera-Arnau, Mara Torres Pinedo, Humberto González Ramírez, Steven R. Bishop
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