Enrique Frías-Martínez
Biographic Data
| ID | 8887218 |
|---|---|
| NAME | Enrique Frías-Martínez |
| GIVEN NAMES | Enrique |
| FAMILY NAME | Frías-Martínez |
| SIGNATURE | FRÍAS-MARTÍNEZ E |
| AFFILIATIONS | Telefonica Research and Development |
| ORCID | 0000-0001-5348-3120 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Exploring night and day socio-spatial segregation based on mobile phone data
Social segregation research has a long tradition in urban studies. Usually, these studies focus on the residential dimension, using official registries (e.g., census data), which show population distribution at night. Nevertheless, these studies disregard the fact that the population in cities is highly mobile, and its spatial distribution dramatically changes between night and day. The emergence of new data sources (Big Data) creates perfect con…
Spatial sensitivity analysis for urban hotspots using cell phone traces
Urban hotspots can be used to model the structure of urban environments and to study or predict various aspects of urban life. An increasing interest in the analysis of urban hotspots has been triggered by the emergence of pervasive technologies that produce massive amounts of spatio-temporal data including cell phone traces (or Call Detail Records). Although hotspot analyses using cell phone traces are extensive, there is no consensus among rese…
Exploring the potential of phone call data to characterize the relationship between social network and travel behavior
From mobile phone data to the spatial structure of cities
Pervasive infrastructures, such as cell phone networks, enable to capture large amounts of human behavioral data but also provide information about the structure of cities and their dynamical properties. In this article, we focus on these last aspects by studying phone data recorded during 55 days in 31 Spanish cities. We first define an urban dilatation index which measures how the average distance between individuals evolves during the day, all…
No prominent works on this page.
From mobile phone data to the spatial structure of cities
Pervasive infrastructures, such as cell phone networks, enable to capture large amounts of human behavioral data but also provide information about the structure of cities and their dynamical properties. In this article, we focus on these last aspects by studying phone data recorded during 55 days in 31 Spanish cities. We first define an urban dilatation index which measures how the average distance between individuals evolves during the day, all…
Exploring the potential of phone call data to characterize the relationship between social network and travel behavior
Exploring night and day socio-spatial segregation based on mobile phone data
Social segregation research has a long tradition in urban studies. Usually, these studies focus on the residential dimension, using official registries (e.g., census data), which show population distribution at night. Nevertheless, these studies disregard the fact that the population in cities is highly mobile, and its spatial distribution dramatically changes between night and day. The emergence of new data sources (Big Data) creates perfect con…
Spatial sensitivity analysis for urban hotspots using cell phone traces
Urban hotspots can be used to model the structure of urban environments and to study or predict various aspects of urban life. An increasing interest in the analysis of urban hotspots has been triggered by the emergence of pervasive technologies that produce massive amounts of spatio-temporal data including cell phone traces (or Call Detail Records). Although hotspot analyses using cell phone traces are extensive, there is no consensus among rese…
Computer Science (4 works) · Mobile phone (4 works) · Data science (3 works) · Geography (3 works) · Human Mobility and Location-Based Analysis (3 works) · Impact of Light on Environment and Health (3 works) · Phone (3 works) · Telecommunications (3 works) · Cartography (2 works) · Data mining (2 works)