Creating the London night-worker geodemographic classification

This paper aims to provide a more comprehensive understanding of the geography of night working in London (United Kingdom). Around a quarter of London’s workforce is employed in the evening and night-time economy, working between the hours of 6 pm and 6 am. Compared to daytime workers, there is limited public information on where these workers are located, how they travel, and what amenities they rely on during work hours. To address this gap, we combine official employment statistics with mobile phone footfall data to develop the London Night-Worker Classification. This new small-area geodemographic classification captures key characteristics of night-working patterns, offering a spatial perspective on night-time employment to support more informed decisions in transport, planning, and worker wellbeing.

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Publication Details

Journal
Environment and Planning B Urban Analytics and City Science
Published
2025-12-26
DOI
https://doi.org/10.1177/23998083251410392
Primary Topic
Night-time city culture
Type
article
Field-Weighted Citation Impact
0.00
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article

Creating the London night-worker geodemographic classification

Justin van Dijk, J Cheshire, Mikaella Mavrogeni, Michał Iliev
Environment and Planning B Urban Analytics and City Science
Night-time city culture
article

Creating the London night-worker geodemographic classification

Justin van Dijk, J Cheshire, Mikaella Mavrogeni, Michał Iliev
article en

Abstract

This paper aims to provide a more comprehensive understanding of the geography of night working in London (United Kingdom). Around a quarter of London’s workforce is employed in the evening and night-time economy, working between the hours of 6 pm and 6 am. Compared to daytime workers, there is limited public information on where these workers are located, how they travel, and what amenities they rely on during work hours. To address this gap, we combine official employment statistics with mobile phone footfall data to develop the London Night-Worker Classification. This new small-area geodemographic classification captures key characteristics of night-working patterns, offering a spatial perspective on night-time employment to support more informed decisions in transport, planning, and worker wellbeing.

Environment and Planning B Urban Analytics and City Science
University College London (GB)
Decent work and economic growth
Openalex Percentile: Top 23%
Night-time city culture
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