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Assessing Urban Vibrancy through Geolocated Tweets

A Case Study of Naples

Bibliographic Data

ID19219337
AuthorsCiro 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)
Year2026
Volume54
Issue3
Publication date2026-05-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHuman Ecology (JOURNAL)
Journal identifiersISSN: 0300-7839 • E-ISSN: 1572-9915
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s10745-026-00696-z
OpenAlexW7160431246
LanguageEN
References cited29

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

    Rob Kitchin•The Data Revolution•2014

  • Principal component analysis

    Open Access•Hervé Abdi, Lynne J Williams•WIREs Computational Statistics•2010

  • Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

    Open Access•Linda See, Peter Mooney et al.•ISPRS International Journal of…•2016

  • Place value

    Open Access•Matthew Carmona•Journal of Urban Design•2019

  • The Contiguity Ratio and Statistical Mapping

    Roy C Geary•The Incorporated Statistician•1954

  • Portraying the spatial dynamics of urban vibrancy using multisource urban big data

    Open Access•Wei Tu, Tingting Zhu et al.•Computers Environment and Urban…•2020

  • Revealing urban vibrancy stability based on human activity time-series

    Open Access•Jiani Ouyang, Hong Fan et al.•Sustainable Cities and Society•2022

  • The Polycentric Knowledge Economy in Barcelona

    Ivan Muniz, Miquel-Àngel Garcia-López et al.•Urban Geography•2010

  • The Relationship between Urban Vibrancy and Built Environment

    Open Access•Runde Fu, Xinhuan Zhang et al.•International Journal of…•2021

  • Geosocial capta in geographical research – a critical analysis

    Michał Rzeszewski•Cartography and Geographic…•2016

  • Exploring the relationship between landscape characteristics and urban vibrancy

    Open Access•Yuan Meng, Hanfa Xing•Cities•2019

  • Urban form breeds neighborhood vibrancy

    Open Access•Jiayu Wu, Na Ta et al.•Cities•2018

  • Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data

    Open Access•Tingting Chen, Eddie C M Hui et al.•Habitat International•2019

  • Local Indicators of Spatial Association—Lisa

    Open Access•Luc Anselin•Geographical Analysis•1995

  • Socioeconomic and functional zoning characterization in a city

    Open Access•Claudia Rodrigues, Marco Veloso et al.•Cities•2025

  • Making a city

    John Warwick Montgomery, John Montgomery•Journal of Urban Design•1998

  • A Framework for the Areal Interpolation of Socioeconomic Data

    Open Access•Michael F Goodchild, Luc Anselin et al.•Environment and Planning A…•1993

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