Dani Arribas-Bel
Biographic Data
| ID | 6309208 |
|---|---|
| NAME | Dani Arribas-Bel |
| GIVEN NAMES | Dani |
| FAMILY NAME | Arribas-Bel |
| SIGNATURE | ARRIBAS-BEL D |
| AFFILIATIONS | University of Liverpool |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Open spatial science as routine practice
EPB turns 50 years old
The history of Environment and Planning B (EPB) over the last 50 years has been described in detail by Batty (2024, this issue) while different eras and topics have been highlighted within the invited commentaries that comprise this 50th anniversary special issue.Harris (2024, this issue), in particular, discusses the recent change in the latter part of the journal's name from Planning and Design to Urban Analytics and City Science.This reflects …
In praise of (spatial) bundles
Hopes and dreams for (future) better things
but even more so in the last few years.Of course, the traditional research article is still, and will probably be for a while, our bread and butter.But this is no
Local urban attributes defining ethnically segregated areas across English cities
The literature of spatial inequalities is currently “fragmented” across ethnic segregation and built environment domains. Inequalities in these dimensions are often considered in isolation one from another. For example, ethnic segregated areas are often more disadvantaged in terms of unemployment, housing conditions and access to services. By using a combination of the most recent Census and a series of openly available datasets related to ambien…
Estimating generalized measures of local neighbourhood context from multispectral satellite images using a convolutional neural network
The increased availability of high-resolution multispectral imagery captured by remote sensing platforms provides new opportunities for the characterisation and differentiation of urban context. The discovery of generalized latent representations from such data are however under researched within the social sciences. As such, this paper exploits advances in machine learning to implement a new method of capturing measures of urban context from mul…
Assessing the value of user-generated images of urban surroundings for house price estimation
Determinants of housing prices are particularly significant for monitoring and understanding housing prices. Traditional variables are measured through official statistics or questionnaire surveys, which are labour intensive and time-consuming. New forms of data, such as point of interest or street view imagery, have been used to extract housing location and neighbourhood features, but they cannot capture how different individuals recognised and …
Sustainable urban development indicators in Great Britain from 2001 to 2016
Urban data/code
Local urban attributes defining ethnically segregated areas across English cities
The literature of spatial inequalities is currently “fragmented” across ethnic segregation and built environment domains. Inequalities in these dimensions are often considered in isolation one from another. For example, ethnic segregated areas are often more disadvantaged in terms of unemployment, housing conditions and access to services. By using a combination of the most recent Census and a series of openly available datasets related to ambien…
Sustainable urban development indicators in Great Britain from 2001 to 2016
Urban data/code
Estimating generalized measures of local neighbourhood context from multispectral satellite images using a convolutional neural network
The increased availability of high-resolution multispectral imagery captured by remote sensing platforms provides new opportunities for the characterisation and differentiation of urban context. The discovery of generalized latent representations from such data are however under researched within the social sciences. As such, this paper exploits advances in machine learning to implement a new method of capturing measures of urban context from mul…
Assessing the value of user-generated images of urban surroundings for house price estimation
Determinants of housing prices are particularly significant for monitoring and understanding housing prices. Traditional variables are measured through official statistics or questionnaire surveys, which are labour intensive and time-consuming. New forms of data, such as point of interest or street view imagery, have been used to extract housing location and neighbourhood features, but they cannot capture how different individuals recognised and …
Local urban attributes defining ethnically segregated areas across English cities
The literature of spatial inequalities is currently “fragmented” across ethnic segregation and built environment domains. Inequalities in these dimensions are often considered in isolation one from another. For example, ethnic segregated areas are often more disadvantaged in terms of unemployment, housing conditions and access to services. By using a combination of the most recent Census and a series of openly available datasets related to ambien…
EPB turns 50 years old
The history of Environment and Planning B (EPB) over the last 50 years has been described in detail by Batty (2024, this issue) while different eras and topics have been highlighted within the invited commentaries that comprise this 50th anniversary special issue.Harris (2024, this issue), in particular, discusses the recent change in the latter part of the journal's name from Planning and Design to Urban Analytics and City Science.This reflects …
In praise of (spatial) bundles
Hopes and dreams for (future) better things
but even more so in the last few years.Of course, the traditional research article is still, and will probably be for a while, our bread and butter.But this is no
Open spatial science as routine practice
Geography (5 works) · Computer Science (4 works) · Land Use and Ecosystem Services (4 works) · Urban planning (3 works) · 3D Modeling in Geospatial Applications (2 works) · Art (2 works) · Economics (2 works) · Engineering (2 works) · Human Mobility and Location-Based Analysis (2 works) · Impact of Light on Environment and Health (2 works)