1,721,034 research outputs found
Pandemia e (im)mobilità: gli effetti spaziali del lockdown attraverso i Big Data delle piattaforme digitali
No full textIn assenza di vaccini e in una situazione di emergenza generata dalla rapida diffusione della pandemia, la strategia adottata per contrastare la diffusione del COVID-19 è stata quella del distanziamento sociale e del lockdown che hanno fortemente influenzato la mobilità degli individui. In tale contesto il presente studio si pone l’obiettivo di misurare gli effetti spaziali dei provvedimenti restrittivi alla mobilità individuale in due momenti – durante e nel post-lockdown italiano – e per funzioni (residenza, luoghi di lavoro, svago, trasporti) e a scale differenti. A tal fine, il contributo analizza i dati resi ineditamente
disponibili dalle piattaforme digitali Google e Facebook attraverso i programmi Google Mobility Report e Facebook Data for Good. I risultati da un lato mostrano le aree attrattive e repulsive di popolazione insistente in (near) real-time per macro e micro area, dall’altro permettono di effettuare una riflessione sul ruolo dei ‘dati delle piattaforme’ in uno scenario di crescente infrastrutturazione delle piattaforme digitali nella società
User-generated data commons: spazi digitali ed esperienze urbane attraverso l’utilizzo di open geodata e di voluntereed geographic information
Full text linkIl presente contributo si suddivide in due parti: dopo aver offerto un breve quadro sulle possibilità e sui
limiti tecnici di utilizzo di due tipi diversi di informazione geografica, gli Open GeoData e la Voluntereed Geographic Information
(VGI) (Informazione Geografica Volontaria), si propone di indagare se e in che modo l’utilizzo della VGI possa
determinare un arricchimento dell’informazione geografica in contesti urbani. A tal fine la sperimentazione si sviluppa
sull’utilizzo combinato della cartografia di base presente sul portale datigis.comunefi.it relativa all’area del comune di Firenze
con contributi georeferenziati raccolti da alcuni dei più noti e diffusi social media: Twitter, Instagram, Flickr e Wikipedia
nell’arco di tempo di un anno. Il risultato della sperimentazione evidenzia la presenza di layers di informazione geografica
digitali fortemente connessi agli spazi urbani offrendo opportunità di indagine nuova sia per la loro granularità sia per le
tematiche individuabili.This paper is divided into two parts: first it offers a brief overview of the possibilities and technical limitations
of two different types of geographic information: Open GeoData and Voluntereed Geographic Information (VGI). The
paper then investigates whether and how VGI can enrich the provision of geographic information in urban environments. To
this purpose we experiment with the combined use of Open GeoData and geo-tagged data harvested from some of the most
popular social media (Twitter, Instagram, Flickr, Wikipedia), related to the city of Florence. The results highlight the existence
of multiple layers of extremely granular geographic information that can be exploited for a wide range of potential applications
on several different domains
Chapter Piattaforme magre
Full text linkThe chapter focuses on 'lean platforms' such as Airbnb, Uber, Flixbus and illustrates their spatialities in our society
The shifting geographies of digital intermediation: the effects of the COVID-19 pandemic on short-term rentals in Italian cities
Full text linkThe present paper investigates the impact of the Covid-19 pandemic on Airbnb's market and focuses on the crisis's effects on areas affected by digital intermediation. The study's goal is to analyse Airbnb geographies by focusing on short-term rental supply and demand at the intra-urban scale. Using historical data and by adopting a quantitative and spatial data-oriented approach, the work highlights the shifting geographies of digital intermediation. Results show that while the areas that have increased their supply are limited, a large, clustered and contiguous portion of the cities seems to have reversed the exponential growth trend of recent years. Finally, the study offers a reflection on the future of short-term rentals in the post-pandemic city. The case study refers to four Italian cities: Florence, Milan, Rome, and Naples
Chapter Piattaforme di comunicazione
Full text linkThe chapter shows various maps about 'communication platforms' such as Twitter, Whatsapp, Instagram etc. at the different scales
Chapter Il Darkweb
Full text linkThe map shows the distribution of the offer of illicit products in one of the Darkweb markets
Chapter Piattaforme prodotto
Full text linkThe chapter highlights the geographies of some 'product platforms' such as Amazon, Just Eat, Netflix, Strava, also emphasizing the geoprivacy's issues
Chapter Piattaforme aperte
Full text linkThe chapter analyzes the geography of 'open platforms' such as Wikipedia, Openstreetmap, Blockchai
Chapter Online work
Full text linkThe map highlights the share of online work supply in 2021, showing the countries in which it is mostly implemented
Towards a new urbanism: emerging narratives on the impact of artificial intelligence in cities
No full textThis study aims to explore emerging narratives on artificial intelligence (AI) at global level, with particular reference to the urban environment. The methodology employed encompasses spatial and textual analysis of opinions across different scales, highlighting how the perception of AI can significantly vary depending on the geographical and socio-economic context. Specifically, through the analysis of a sample of 130,000 structured interviews, countries that perceive AI as 'most helpful' and those viewing AI as 'most harmful' are identified. Furthermore, by collecting 5,000 posts by residents in the cities of Florence, Milan, and Rome on platform X, we show how cities experience and respond to the integration of AI and the construction of urban imaginaries based on technology in different ways. The findings thus underline the importance of including analyses of population perception on the impact of artificial intelligence and introducing a geographical interpretation of the phenomenon, with the aim of defining development and governance models that take into account the aspirations and concerns of citizens regarding the increasing presence of AI in society
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