Moisés Frı́as
Biographic Data
| ID | 8348744 |
|---|---|
| NAME | Moisés Frı́as |
| GIVEN NAMES | Moisés |
| FAMILY NAME | Frı́as |
| SIGNATURE | FRÍAS M |
| AFFILIATIONS | Telefónica (Spain) |
| ORCID | 0000-0001-6621-7227 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| 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…
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…
Computer Science (3 works) · Mobile phone (3 works) · Data science (2 works) · Demography (2 works) · Geography (2 works) · Human Mobility and Location-Based Analysis (2 works) · Impact of Light on Environment and Health (2 works) · Phone (2 works) · Population (2 works) · Telecommunications (2 works)