Alessia Calafiore
Biographic Data
| ID | 4910093 |
|---|---|
| NAME | Alessia Calafiore |
| GIVEN NAMES | Alessia |
| FAMILY NAME | Calafiore |
| SIGNATURE | CALAFIORE A |
| AFFILIATIONS | University of Liverpool |
| ORCID | 0000-0002-5953-2891 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 20 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Mapping Great Britain's semantic footprints through a large language model analysis of Reddit comments
Observed regional variation in geotagged social media text is often attributed to dialects, where features in language are assumed to exhibit region-specific properties. While dialects are seen as a key component in defining the identity of regions, there are a multitude of other geographic properties that may be captured within natural language text. In our work, we consider locational mentions that are directly embedded within comments on the s…
Inequalities in experiencing urban functions. An exploration of human digital (geo-)footprints
Studies on mobility inequalities have so far mostly relied on Survey data or Censuses. While such studies have demonstrated that inequalities strongly influence everyday mobility choices, these data sources lack granular information on people’s movements on a daily basis. By capitalising on high spatio-temporal resolution data provided by Spectus.ai, this study aims at investigating how the deprivation level of the area where people live influenc…
Mapping cognitive place associations within the United Kingdom through online discussion on Reddit
This paper explores cognitive place associations; conceptualised as a place‐based mental model that derives subconscious links between geographic locations. Utilising a large corpus of online discussion data from the social media website Reddit, we experiment on the extraction of such geographic knowledge from unstructured text. First we construct a system to identify place names found in Reddit comments, disambiguating each to a set of coordinat…
Age and the 20-min city
The political popularity of the 20-min city is a result of its perceived equal treatment of all citizens, yet the ideal geography fails to consider the diversity of mobilities and needs of different age groups. If 20-min cities are to provide equality for people with limited mobility, they need to understand their location and proximity to the services which meet their needs. Considering older people as a subset of the population with diverse mob…
The 20-minute city
Urban exodus? Understanding human mobility in Britain during the Covid‐19 pandemic using Meta‐Facebook data
Existing empirical work has focused on assessing the effectiveness of nonpharmaceutical interventions on human mobility to contain the spread of COVID-19. Less is known about the ways in which the COVID-19 pandemic has reshaped the spatial patterns of population movement within countries. Anecdotal evidence of an urban exodus from large cities to rural areas emerged during early phases of the pandemic across western societies. Yet, these claims h…
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities
This study develops a Geographic Data Science framework that transforms the Foursquare check-in locations and user origin-destination flows data into knowledge about the emerging forms and characteristics of cities' neighbourhoods. We employ a longitudinal mobility dataset describing human interactions with Foursquare venues in ten global cities: Chicago, Istanbul, Jakarta, London, Los Angeles, New York, Paris, Seoul, Singapore, Tokyo. This socia…
Urban exodus? Understanding human mobility in Britain during the Covid‐19 pandemic using Meta‐Facebook data
Existing empirical work has focused on assessing the effectiveness of nonpharmaceutical interventions on human mobility to contain the spread of COVID-19. Less is known about the ways in which the COVID-19 pandemic has reshaped the spatial patterns of population movement within countries. Anecdotal evidence of an urban exodus from large cities to rural areas emerged during early phases of the pandemic across western societies. Yet, these claims h…
Mapping cognitive place associations within the United Kingdom through online discussion on Reddit
This paper explores cognitive place associations; conceptualised as a place‐based mental model that derives subconscious links between geographic locations. Utilising a large corpus of online discussion data from the social media website Reddit, we experiment on the extraction of such geographic knowledge from unstructured text. First we construct a system to identify place names found in Reddit comments, disambiguating each to a set of coordinat…
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities
This study develops a Geographic Data Science framework that transforms the Foursquare check-in locations and user origin-destination flows data into knowledge about the emerging forms and characteristics of cities' neighbourhoods. We employ a longitudinal mobility dataset describing human interactions with Foursquare venues in ten global cities: Chicago, Istanbul, Jakarta, London, Los Angeles, New York, Paris, Seoul, Singapore, Tokyo. This socia…
The 20-minute city
Urban exodus? Understanding human mobility in Britain during the Covid‐19 pandemic using Meta‐Facebook data
Existing empirical work has focused on assessing the effectiveness of nonpharmaceutical interventions on human mobility to contain the spread of COVID-19. Less is known about the ways in which the COVID-19 pandemic has reshaped the spatial patterns of population movement within countries. Anecdotal evidence of an urban exodus from large cities to rural areas emerged during early phases of the pandemic across western societies. Yet, these claims h…
Age and the 20-min city
The political popularity of the 20-min city is a result of its perceived equal treatment of all citizens, yet the ideal geography fails to consider the diversity of mobilities and needs of different age groups. If 20-min cities are to provide equality for people with limited mobility, they need to understand their location and proximity to the services which meet their needs. Considering older people as a subset of the population with diverse mob…
Mapping Great Britain's semantic footprints through a large language model analysis of Reddit comments
Observed regional variation in geotagged social media text is often attributed to dialects, where features in language are assumed to exhibit region-specific properties. While dialects are seen as a key component in defining the identity of regions, there are a multitude of other geographic properties that may be captured within natural language text. In our work, we consider locational mentions that are directly embedded within comments on the s…
Inequalities in experiencing urban functions. An exploration of human digital (geo-)footprints
Studies on mobility inequalities have so far mostly relied on Survey data or Censuses. While such studies have demonstrated that inequalities strongly influence everyday mobility choices, these data sources lack granular information on people’s movements on a daily basis. By capitalising on high spatio-temporal resolution data provided by Spectus.ai, this study aims at investigating how the deprivation level of the area where people live influenc…
Mapping cognitive place associations within the United Kingdom through online discussion on Reddit
This paper explores cognitive place associations; conceptualised as a place‐based mental model that derives subconscious links between geographic locations. Utilising a large corpus of online discussion data from the social media website Reddit, we experiment on the extraction of such geographic knowledge from unstructured text. First we construct a system to identify place names found in Reddit comments, disambiguating each to a set of coordinat…
Geography (7 works) · Human Mobility and Location-Based Analysis (4 works) · Sociology (4 works) · Urban Transport and Accessibility (4 works) · Cartography (3 works) · Computer Science (3 works) · Demography (3 works) · Economic geography (3 works) · Population (3 works) · Regional science (3 works)