Feliu Serra-Burriel

ORCID: 0000-0003-0879-8785
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About
Contact & Profiles
Research Areas
  • Remote Sensing in Agriculture
  • Fire effects on ecosystems
  • Urban Transport and Accessibility
  • Plant Water Relations and Carbon Dynamics
  • Human Mobility and Location-Based Analysis
  • Rangeland and Wildlife Management
  • Sports Analytics and Performance
  • Land Use and Ecosystem Services
  • Traffic control and management
  • Sports, Gender, and Society
  • Impact of Light on Environment and Health
  • Data Visualization and Analytics
  • Urban Design and Spatial Analysis
  • Sport and Mega-Event Impacts
  • Regional Economics and Spatial Analysis

Universitat Politècnica de Catalunya
2020-2021

Barcelona Supercomputing Center
2020-2021

As cities expand, human mobility has become a central focus of urban planning and policy making to make more inclusive sustainable. Initiatives such as the "15-minutes city" have been put in place shift attention from monocentric city configurations polycentric structures, increasing availability diversity local amenities. Ultimately they expect increase walkability within residential areas. While we know how amenities influence at level, little is known about spatial variations this...

10.1371/journal.pone.0250080 article EN cc-by PLoS ONE 2021-05-05

In this paper, the Camp Nou stadium is used as a testbed for City Physiology, theoretical framework urban digital twins. With case study, modularity and adaptability of framework, originally intended city‐scale simulations, are tested on large facility venue. As proof concept, several statistical techniques an agent‐based simulation platform coupled to simulate crowd in stadium, process four steps followed build study. Both conceptual (interdomain) technical (domain specific) layers twin...

10.1155/2021/9731180 article EN cc-by Complexity 2021-01-01

In recent years, wildfires have caused havoc across the world, which are especially aggravated in certain regions due to climate change. Remote sensing has become a powerful tool for monitoring fires, as well measuring their effects on vegetation over following years. We aim explain dynamics of wildfires’ index (previously estimated by causal inference through synthetic controls) from pre-wildfire available information (mainly proceeding satellites). For this purpose, we use regression...

10.3390/math9111305 article EN cc-by Mathematics 2021-06-07

Abstract Futbol Club Barcelona operates the largest stadium in Europe (with a seating capacity of almost one hundred thousand people) and manages recurring sports events. These are influenced by multiple conditions (time day week, weather, adversary) affect city dynamics—e.g., peak demand for related services like public transport stores. We study fine grain audience entrances at segregated visitor type gate to gain insights predict arrival behavior future games, with direct impact on...

10.1007/s10994-023-06499-3 article EN cc-by Machine Learning 2024-03-26

Wildfires have become one of the biggest natural hazards for environments worldwide. The effects wildfires are heterogeneous, meaning that magnitude their depends on many factors such as geographical region, climate and land cover/vegetation type. Yet, which areas more affected by these events remains unclear. Here we present a novel application Generalised Synthetic Control (GSC) method enables quantification prediction vegetation changes due to through time-series analysis in situ...

10.48550/arxiv.2012.05140 preprint EN cc-by arXiv (Cornell University) 2020-01-01

Urban population grows constantly. By 2050 two thirds of the world will reside in urban areas. This growth is faster and more complex than ability cities to measure plan for their sustainability. To understand what makes a city inclusive all, we define methodology identify characterize spatial subdivisions: areas with over- under-representation specific groups, named hot cold spots respectively. Using aggregated mobile phone data, apply this Barcelona assess mobility three groups people:...

10.48550/arxiv.2002.11636 preprint EN other-oa arXiv (Cornell University) 2020-01-01

In recent years wildfires have caused havoc across the world, especially aggravated in certain regions, due to climate change. Remote sensing has become a powerful tool for monitoring fires, as well measuring their effects on vegetation over following years. We aim explain dynamics of wildfires' index (previously estimated by causal inference through synthetic controls) from pre-wildfire available information (mainly proceeding satellites). For this purpose, we use regression models...

10.48550/arxiv.2105.10050 preprint EN cc-by arXiv (Cornell University) 2021-01-01
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