Consumption after dark exploring spatio-temporal patterns of spending in the night-time economy
Bibliographic Data
| ID | 6419781 |
|---|---|
| Authors | Julia De Las Obras-Loscertales Sampériz (0000-0002-4703-5521), Juan Carlos García-Palomares (0000-0002-8759-6809), Diego Ramiro Fariñas (0000-0002-2766-307X), María Soledad Hernández Martín-Caro (0000-0002-7430-2197), Javier Gutiérrez Puebla (0000-0003-2611-8587) |
| Year | 2025 |
| Volume | 159 |
| Pages | 105726-105726 |
| Publication date | 2025-01-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cities (JOURNAL) |
| Journal identifiers | ISSN: 0264-2751 • E-ISSN: 1873-6084 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.cities.2025.105726 |
| OpenAlex | W4406675590 |
| Language | EN |
| Citations received | 5 |
| References cited | 54 |
The concept of the night-time economy has gained attention in recent years as cities around the world recognize the potential of night-time activities. Most research on the night-time economy adopts a social perspective, without examining this topic from an economic approach, probably because official statistics do not provide suitable information for this purpose. The availability of data on bank card transactions opens new avenues in the study of the night-time economy by providing information on night-time spending in city establishments. This article explores the spatial and temporal patterns of night-time spending by combining different data sources -bank transaction data, mobile phone data, social networks, cadastral records, etc.-, taking the city of Madrid as the study area. The results reveal that night-time spending in establishments in the city of Madrid is equivalent to approximately 30 % of total spending. They also show that the spatial concentration of night-time spending increases as the night progresses, and that the structure of spending is much more diversified in the evening than at dinner time and late at night. Explanatory models (Ordinary Least Squares and Random Forest regression) show that variables related to bars and restaurants, retail area, popularity of establishments, and tourist ac commodations have strong explanatory power over the spatial distribution of night-time spending. The article shows that the analysis of bank card transaction data provides information of great interest to urban managers and planners
Consumer spending · Consumption (sociology · Economic geography · Economics · Macroeconomics · Social science · Sociology · Human Mobility and Location-Based Analysis · Impact of Light on Environment and Health · Night-time city culture
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Social Media data
Greedy function approximation
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Exploring the spatial patterns of visitor expenditure in cities using bank card transactions data
Night-time economy vitality index
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Vecinos de toda la vida? Nimby, ocio nocturno y desapropiación en centros urbanos. La Latina, en Madrid
Big data and human geography
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Towards a new urban geography of expenditure
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The structural dimensions and community vibrancy
Quantifying the nighttime economy–housing separation from a human activity standpoint
Street pedestrianization in urban districts
Light in the darkness
How to evaluate urban emotions using twitter social media
Consumption and symbolic capital in the metropolitan space
An (Extra)ordinary Night Out
Neoliberal Subjectivities and the Development of the Night-Time Economy in British Cities
Producing nightlife in the new urban entertainment economy
Rhythms of the Night
| Unique citing works | 5 |
|---|---|
| Citations per year | 5 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |