Assessing Urban Vibrancy through Geolocated Tweets
A Case Study of Naples
Bibliographic Data
| ID | 19219337 |
|---|---|
| Authors | Ciro Clemente De Falco (0000-0003-4074-0671, University of Naples Federico II, corresponding author), A de Falco (0000-0002-7892-9691), Marco Ferracci (University of Naples Federico II), Emilia Romeo (0000-0002-9570-5673, San Raffaele University of Rome) |
| Year | 2026 |
| Volume | 54 |
| Issue | 3 |
| Publication date | 2026-05-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Human Ecology (JOURNAL) |
| Journal identifiers | ISSN: 0300-7839 • E-ISSN: 1572-9915 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s10745-026-00696-z |
| OpenAlex | W7160431246 |
| Language | EN |
| References cited | 29 |
Data volume, variety, and velocity from diverse sources have increased dramatically in recent years. Most of this big data is produced by web users: the so-called user-generated content (UGC). This data can include geographic information that users voluntarily provide via their devices’ location services. Twitter (now called X) is a primary source of geodata for social research. Through a case study, we aim to assess whether geolocated tweets can serve as a proxy for urban vibrancy and to analyze whether their spatial distribution is associated with the socioeconomic characterization of the urban fabric. Urban vibrancy, defined as the liveliness of an area with robust social, economic, and cultural engagement, is a key factor in quality of life. Vibrant areas offer a wider array of opportunities and services, as well as a stronger sense of community, enhancing the city’s attractiveness and livability. To meet these research objectives, a Python scraper was used to collect 100,000 geolocated tweets from the city of Naples between January 1, 2020, and March 31, 2023. The geolocated tweets were analyzed alongside socioeconomic data from the 2021 census, income data from the Ministry of Economy and Finance, and datasets on leisure facilities and services in the area. Results indicate that geolocated tweets can effectively serve as a proxy for urban vibrancy. Clinical Trial Registration Not applicable
Attractiveness · Christian ministry · Geocoding · Geographic information system · Location · Proxy (statistics) · Social media · Socioeconomic status · Data-Driven Disease Surveillance · Human Mobility and Location-Based Analysis · Social Media in Health Education
The Data Revolution
Principal component analysis
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
Place value
The Contiguity Ratio and Statistical Mapping
Portraying the spatial dynamics of urban vibrancy using multisource urban big data
Revealing urban vibrancy stability based on human activity time-series
The Polycentric Knowledge Economy in Barcelona
The Relationship between Urban Vibrancy and Built Environment
Geosocial capta in geographical research – a critical analysis
Exploring the relationship between landscape characteristics and urban vibrancy
Urban form breeds neighborhood vibrancy
Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data
Local Indicators of Spatial Association—Lisa
Socioeconomic and functional zoning characterization in a city
Making a city
A Framework for the Areal Interpolation of Socioeconomic Data
| Citation velocity | historical |
|---|---|
| Highly cited | No |