The behavioural house indicator: A faster and real time small-area deprivation measure for England

Researchers have been long preoccupied with the measuring and monitoring of economic and social deprivation at small scales, neighbourhood, level in order to provide official government agencies and policy makers with more precise data insights. Whist valuable methodologies have been developed, the exercise of data collection associated with these methods tends to be expensive, time consuming, published infrequently with significant time delays, and subject to recurring changes to methodology. Here, we propose a novel method based on a straightforward methodology and data sources to generate a faster and real time indicator for deprivation at different scaling, small to larger areas. The results of our work show that our method provides a consistent view of deprivation across the regions of England and Wales, which are in line with the other indexes, but also highlight specific flash points of deep rural and highly dense urban deprivation areas that are not well captured by existing indexes. Our method is intended to aid researchers and policy makers by complementing existing but infrequent indexes.

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Publication Details

Journal
Environment and Planning B Urban Analytics and City Science
Published
2024-09-16
DOI
https://doi.org/10.1177/23998083241283124
Primary Topic
Urban, Neighborhood, and Segregation Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

The behavioural house indicator: A faster and real time small-area deprivation measure for England

Tim Evans, Eduardo Viegas
Environment and Planning B Urban Analytics and City Science
Urban, Neighborhood, and Segregation Studies
article

The behavioural house indicator: A faster and real time small-area deprivation measure for England

Tim Evans, Eduardo Viegas
article en

Abstract

Researchers have been long preoccupied with the measuring and monitoring of economic and social deprivation at small scales, neighbourhood, level in order to provide official government agencies and policy makers with more precise data insights. Whist valuable methodologies have been developed, the exercise of data collection associated with these methods tends to be expensive, time consuming, published infrequently with significant time delays, and subject to recurring changes to methodology. Here, we propose a novel method based on a straightforward methodology and data sources to generate a faster and real time indicator for deprivation at different scaling, small to larger areas. The results of our work show that our method provides a consistent view of deprivation across the regions of England and Wales, which are in line with the other indexes, but also highlight specific flash points of deep rural and highly dense urban deprivation areas that are not well captured by existing indexes. Our method is intended to aid researchers and policy makers by complementing existing but infrequent indexes.

Environment and Planning B Urban Analytics and City ScienceVol. 52(5)
Tokyo Institute of Technology (JP), Imperial College London (GB)
Openalex Percentile: Top 74%
Urban, Neighborhood, and Segregation Studies
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