City buzz: Quantity, quality, and variety implications of the urban environment
This project analyzes urban interactions, consumption patterns, and firm hierarchies using anonymized data to understand the evolving dynamics of cities and their impact on social connectivity and economic outcomes.
Projectdetails
Introduction
This research project aims to understand the changing landscape of cities. These are cities where face-to-face interactions happen less around office water coolers and more on the streets; where individuals not only produce differently by location but also have heterogeneous consumption; and where, beyond the adoption of working from home, the transformation of work involves a reorganization of firms' establishments and hierarchies across locations.
Methodology for Face-to-Face Interactions
To capture face-to-face interactions accurately, we use anonymised cellphone records to identify spatial and temporal overlaps among users who also have phone conversations.
- By combining location and call data, meaningful interactions are distinguished from passing strangers.
- This approach quantifies social connectivity and distinguishes between strong and weak ties.
The project examines variations in quantity, quality, and diversity of face-to-face interactions across spatial contexts. It isolates the effects of the urban environment from personal characteristics by studying individual changes following shocks.
Investigation of Consumption Differences
The project also investigates consumption differences across locations.
- It uses anonymised credit card data to examine the quantity, quality, and variety of consumption venues.
- This analysis goes beyond locally available venues to explore how individuals utilise them, accounting for endogenous amenities and location choices.
We consider co-consumption evidence, residence, and job information to understand leisure interactions among neighbours, co-workers, and friends.
Changes in Hierarchical Organisation of Firms
Finally, we explore changes in the hierarchical organisation of firms across space.
- Using matched employer-employee data and a model of cities and hierarchies, we investigate how firms organise establishments and managerial hierarchies across locations.
- Moreover, we examine the relationship between systematic differences in firms' hierarchies across cities and workers' progression to explain the city-size earnings premium.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.491.628 |
Totale projectbegroting | € 2.491.628 |
Tijdlijn
Startdatum | 1-7-2024 |
Einddatum | 30-6-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- FUNDACION CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROSpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
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The City Rising: Inequality and Mobility in a Growing Metropolis of the 19th Century
This project analyzes how Munich addressed 19th-century challenges through technological, social, and health reforms, impacting economic mobility and integration of marginalized groups.
Choice, necessity or chance? Understanding behaviouR chanGE iN Transport
URGENT aims to enhance understanding of mobility behavior change through interdisciplinary analysis of individual and contextual factors, using longitudinal data to inform effective transport intervention strategies.
Urban Economic SEGregation: integrating explanatory mechanisms across geographical scales to compare remediatory policies in silico
The SEGUE project aims to model urban economic segregation drivers using rich data to assess policies that enhance social cohesion and reduce inequality in cities.
The Model City. Drivers and Mechanisms of Long-term Urban Evolution and Resilience
The Model City project aims to analyze historical urban evolution and resilience by comparing diverse past cities to identify factors influencing their long-term survival and collapse.
Loneliness Across Time and Space
LOTIS aims to redefine the relationship between place and loneliness through a dynamic framework, utilizing citizen science and longitudinal studies to inform interventions and policies.