I have done the collection of Twitter data from European metropolises. Currently I'm mining data from US metropolitan areas over 500,000. Theoretical framework of the paper considering twitter activity in Europe focuses on digital social capital, thus electronic capital, or e-capital. Article from US cities lean to idea of the creative cities, which have been in fact conceptualized already way earlier than Florida's Creative class (e.g. Landry & Bianchini (1995). I believe there is still some shortage of mapping exercises for the geography of the creative cities. Especially researched from the angle of creativity in social media. That should be the most up to date space where the creativity is present. Not forgetting the geographical space of the creativity, i. e. creative cities. The first data collected were tweets containing word research. I believed research would represent creativity, i.e. by examining relations of the tweets in hashtagify.me. There's number of other key words coming, so we can rank US cities regarding different key words related to creativity in social media. The final outcome will be re conceptualizing the economic geography related concept of "The creative cities". Regression analyses will tell whether the creativity present in social media affects metropolises economy. Heat maps of different key words related to creativity will give us a series of maps dealing with larger clusters formed from the creative cities. This one table presenting twitter activity in the field of research tells us that Washington D.C. is also the research capital of the United States. The other well-known research clusters seems to lay in Bay Area, The Triangle and East coast. I would also like to share the data of tweets containing word research. The next step for me is to make a heat map of it and find spatial clusters of digitally creative cities. In addition, I collect the rest of the data and do the same kind of rankings and heat maps for other key words as well. I hope you find the data beneficial, too :)
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Antwerp is the Innovation Capital of Europe, Utrecht both the Startup Capital and the Tech Capital14/10/2016 Everybody likes rankings. So I ranked European metropolises using twitter data I blogged about last time. I ranked cities regarding to Twitter activity related to innovations, start ups and tech. It seems like the innovation capital of Europe is Antwerp followed by Utrecht, which in turn is both the start up capital and the tech capital of Europe. Top tens consist of cities from Netherlands, Belgium, Germany, France, Italy and Austria. All from the core areas of Europe or from the so called Blue Banana, or near it. This is despite the fact that the rankings were made of relative amount of tweets per inhabitants. This is another finding suggesting agglomeration economies benefit the most urbanized areas. In addition to innovation ranking, start up ranking and tech ranking, I will include whole data set which contains absolute number of tweets as well as tweets per 1000 inhabitants of every European metropolitan area. Feel free to do your own rankings or analyses of the data!
Oops. It seems like I have given misinformation in my AAG presentation. The formula I have used has shortened while copying it from Excel to Power Point. So the Innovation Index and Human Capital Index have actually been scaled with following formula: Scaled value = value of the variable x 100 / maxim of the variable When needed, variables have been rotated using the formula: Rotated value = 100- (scaled value * (-1) + minimum of the scaled variable) * (-1) I'm really sorry if someone has used the incorrect formula. Actually, only the formula of the rotated index has been incomplete earlier. Hopefully nobody has used that or at least has noticed the wrong results it has given.
Recently the importance of urban density and agglomeration advantages have seen a remarkable revival in the field of economic geography and urban planning. For example, Emil Malazia et al (2015), have found a correlation between urban density and economic growth in census track areas of Washington, D.C. Also the importance of dense mixed land use is commonly understood as an enabler of healthy and efficient communities (e.g. Musakwa and Niekerk (2013) ,Song and Rodríguez (2005). In our study, we have predicted which areas in Helsinki Metropolitan Region could benefit from more dense and mixed urban structure. Our analysis recognized two zip code areas with huge housing demand: Ruoholahti and Pitäjänmäki in western Helsinki. The areas with second highest housing demand were in Center of the Helsinki, Munkkiniemi, Itä-Pasila, Kaartinkaupunki and Meilahti in western Helsinki as well as Pohjois-Tapiola, Otaniemi, Pohjois-Leppävaara, Etelä-Leppävaara, Niittykumpu and Nihtisilta in eastern Espoo and Oitmäki in western Espoo as well as Kirkonkylä-Veromäki in Vantaa. Areas with highest potential for innovative growth locate mainly between areas’ with demand for housing. Especially the edges of the inner city as well as few subcenters on the ring roads get predictions of higher innovative output than today. Länsi-Pasila, Jätkäsaari and Pikku Huopalahti from Helsinki are on their own class with their innovative potential. Second highest innovative growth is predicted from Helsinki to Kulosaari, Kaitalahti and Kaivopuisto and from Espoo Laajalahti-Friisinmäki from Espoo and from Vantaa the zip code area Jokiniemi. |
Photo by Rob Hurson
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July 2018
AuthorJuho Kiuru, geographer living in Helsinki, Finland. |