The first article of my PhD thesis was published in Cities journal. You can find it from this link for 50 days, until March 26, 2017.
Juho Kiuru a, Tommi Inkinen b, a University of Helsinki, Department of Geosciences and Geography, Division of Urban Geography and Regional Studies, P.O. Box 64, (Gustaf Hällströmin katu 2a), FI-00014 University of Helsinki, Finland b University of Turku, Centre for Maritime Studies, Brahea-Centre, FI-20014 University of Turku, Finland Highlights • Provides a postal code level visual analysis between human capital and innovation. • Provides a classification of high achieving and potential innovation areas. • Incorporates tolerance variable into empirical innovation studies. • Provides six regression models explaining the relationship between innovation and human capital. • Shows the significance of absolute variables in comparison to relative ones. Abstract Human capital is an essential driver for the growth of national and regional innovation systems. In this study, we can show that also intra-metropolitan innovation clusters locate in, or in proximity to, neighbourhoods with a high level of human capital. Our interpretation of human capital involves an educated, talented, creative and tolerant workforce. Indicators from earlier literature are complemented by identified new propositions. In addition, by using both relative and absolute measures, we conclude that innovations emerge the best in dense and mixed urban structure. After identifying the geography of human capital and innovativeness, we predict also potential growth areas, which could help urban planning of the HMA. The modelling methods used in this study can be implemented and applied in urban studies of other city regions. Keywords
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In my analyses of the present state, it usually some how pop out also some estimations of the future. With predictive analytics, we show one scenario of the future in the Helsinki Metropolitan Area (HMA). This map will show emerging or growing clusters of innovation as well as the demand of the professionals, i.e. areas that could attract more professionals if there were new houing in the area. Growing innovation clusters could benefit from commercial zoning or actions from business service and other officials. I (still) hope there will soon be a paper to refer to.
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!
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. |