Suchergebnisse

De siste ti til femten års kjøpesenterutvikling i Norge har blitt vist relativt stor interesse i massemedia. Utviklingen har også vært godt synlig på den politiske dagsorden. I den offentlige og politiske debatten har det blitt hevdet at bølgen av kjøpesenteretableringer er skadelig for naturmiljøet, i og med at den fører til økt bilbruk og økt transportarbeid. I dette argumentet ligger også en anklage; kjøpesenteretableringer fører til økte utslipp av CO2. Det har også blitt framsatt påstander om at kjøpesenteretableringer kan føre til mindre bilbruk. Påstanden om økt bilbruk, som i hovedsak må sies å være rettet mot eksterne kjøpesentre, er blant annet basert på en antagelse om at kjøpesentre fører til lengre innkjøpsreiser enn det som ellers ville vært nødvendig. En eventuell nedgang i bilbruken har blant annet vært begrunnet med at de eksterne sentre lokaliseringsmessig ligger gunstigere til i forhold til det suburbaniserte bosetningsmønsteret vi har utviklet i siste halvdel av dette århundret, eller i at de som handler på kjøpesentre er mer effektive kunder. De handler færre ganger, men mer hver gang de gjør innkjøp, enn det andre kunder vil gjøre. I dette paperet presenteres data fra en case-undersøkelse av hvordan etableringen to store kjøpesentre i Follo, syd for Oslo, har påvirket transportomfang og reisemønster i forbindelse med innkjøpsreiser. Ski Storsenter ligger sentralt lokalisert i Ski, som er regionsenter i Follo. Senteret er på ca. 25.000 m2 salgsflate, og åpnet høsten 1995. Steen & Strøm Vinterbro er et eksternt senter, lokalisert rett ved E6 og E18 gjennom Follo. Dette senteret, som også inneholder et OBS varehus, er på totalt ca. 30.000 m2 (inkl. OBS), og åpnet vinteren 1996.

The purpose of this research is to understand the governance system in the university campus development process in Norway. Norwegian cases can provide appropriate examples to study governance because of two main reasons; Firstly, local governments in Norway have historically performed crucial development functions. Secondly, the national government places a great emphasis on dialogue and cooperation between the state and cities and between public and private parties. This paper is based on the findings of the two different cases in Norway; Norwegian University of Life Sciences in Ås and Norwegian University of Science and Technology in Trondheim. A new and modern, but still historically grounded tradition in Norway views the university as a product of its relationship with the city and its urban surroundings, with a strong belief in a university of the city, and not simply, in the city. Considering the 'university of the city' concept adopts different focuses at different stages, involves many internal and external stakeholders, and attracts divergent interests and power relations. A main result of this study is that a successful campus development depends to a large extent on the process of exchange and governance between the national government (mainly the Ministry of Education) and the universities in Norway. A delay in the campus development process can be a result of the university's neglect of the role and power of the national government. ; © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

The gathering and harmonisation of international statistical data in a multidisciplinary environment are key to international comparative analysis and policy work. The availability of timely, accurate statistical information enables policy-makers, practitioners, researchers and other stakeholders to address a wide range of issues in today's rapidly-evolving global economic and social landscape.The use of traditional data such as official administrative statistics however has some shortcomings. Traditional data in general takes long to be published and used because they are subject to a long technical and sometimes political process of harmonization and validation. Also, traditional data does not cover all topics of interest for territorial cohesion.Increasingly, data and information from analysing internet activities or social media can be used for observing territorial development trends. New developments for the availability and use of big data may help to overcome the shortcomings and bring new and interesting opportunities to support policy with up-to-date information relevant for territorial analysis.Currently, the interest from policy makers is growing as the sources for Big Data (Facebook, Google, Twitter, Instagram or blogs for example) contain valuable information, which can normally be hard to gather, and these data can be collected with very short notice. This means that Big Data could provide a more regular, cost-effective and harmonised data collection and provide an opportunity to more easily address new issues of interest.The aim of this ESPON activity is to further develop ways and methodologies for using existing big data sources and platforms to develop and measure indicators for territorial monitoring and analysis. In addition, these methodologies should be applied for indicators measuring the housing dynamics in European cities and the wellbeing of European citizens, in particular related to their housing and living situation. Finally, these methodologies should be made available and applicable to others for measuring these and other aspects in cities.

The gathering and harmonisation of international statistical data in a multidisciplinary environment are key to international comparative analysis and policy work. The availability of timely, accurate statistical information enables policy-makers, practitioners, researchers and other stakeholders to address a wide range of issues in today's rapidly-evolving global economic and social landscape.The use of traditional data such as official administrative statistics however has some shortcomings. Traditional data in general takes long to be published and used because they are subject to a long technical and sometimes political process of harmonization and validation. Also, traditional data does not cover all topics of interest for territorial cohesion.Increasingly, data and information from analysing internet activities or social media can be used for observing territorial development trends. New developments for the availability and use of big data may help to overcome the shortcomings and bring new and interesting opportunities to support policy with up-to-date information relevant for territorial analysis.Currently, the interest from policy makers is growing as the sources for Big Data (Facebook, Google, Twitter, Instagram or blogs for example) contain valuable information, which can normally be hard to gather, and these data can be collected with very short notice. This means that Big Data could provide a more regular, cost-effective and harmonised data collection and provide an opportunity to more easily address new issues of interest.The aim of this ESPON activity is to further develop ways and methodologies for using existing big data sources and platforms to develop and measure indicators for territorial monitoring and analysis. In addition, these methodologies should be applied for indicators measuring the housing dynamics in European cities and the wellbeing of European citizens, in particular related to their housing and living situation. Finally, these methodologies should be made available and applicable to others for measuring these and other aspects in cities.

The gathering and harmonisation of international statistical data in a multidisciplinary environment are key to international comparative analysis and policy work. The availability of timely, accurate statistical information enables policy-makers, practitioners, researchers and other stakeholders to address a wide range of issues in today's rapidly-evolving global economic and social landscape.The use of traditional data such as official administrative statistics however has some shortcomings. Traditional data in general takes long to be published and used because they are subject to a long technical and sometimes political process of harmonization and validation. Also, traditional data does not cover all topics of interest for territorial cohesion.Increasingly, data and information from analysing internet activities or social media can be used for observing territorial development trends. New developments for the availability and use of big data may help to overcome the shortcomings and bring new and interesting opportunities to support policy with up-to-date information relevant for territorial analysis.Currently, the interest from policy makers is growing as the sources for Big Data (Facebook, Google, Twitter, Instagram or blogs for example) contain valuable information, which can normally be hard to gather, and these data can be collected with very short notice. This means that Big Data could provide a more regular, cost-effective and harmonised data collection and provide an opportunity to more easily address new issues of interest.The aim of this ESPON activity is to further develop ways and methodologies for using existing big data sources and platforms to develop and measure indicators for territorial monitoring and analysis. In addition, these methodologies should be applied for indicators measuring the housing dynamics in European cities and the wellbeing of European citizens, in particular related to their housing and living situation. Finally, these methodologies should be made available and ...

The gathering and harmonisation of international statistical data in a multidisciplinary environment are key to international comparative analysis and policy work. The availability of timely, accurate statistical information enables policy-makers, practitioners, researchers and other stakeholders to address a wide range of issues in today's rapidly-evolving global economic and social landscape.The use of traditional data such as official administrative statistics however has some shortcomings. Traditional data in general takes long to be published and used because they are subject to a long technical and sometimes political process of harmonization and validation. Also, traditional data does not cover all topics of interest for territorial cohesion.Increasingly, data and information from analysing internet activities or social media can be used for observing territorial development trends. New developments for the availability and use of big data may help to overcome the shortcomings and bring new and interesting opportunities to support policy with up-to-date information relevant for territorial analysis.Currently, the interest from policy makers is growing as the sources for Big Data (Facebook, Google, Twitter, Instagram or blogs for example) contain valuable information, which can normally be hard to gather, and these data can be collected with very short notice. This means that Big Data could provide a more regular, cost-effective and harmonised data collection and provide an opportunity to more easily address new issues of interest.The aim of this ESPON activity is to further develop ways and methodologies for using existing big data sources and platforms to develop and measure indicators for territorial monitoring and analysis. In addition, these methodologies should be applied for indicators measuring the housing dynamics in European cities and the wellbeing of European citizens, in particular related to their housing and living situation. Finally, these methodologies should be made available and applicable to others for measuring these and other aspects in cities.

The gathering and harmonisation of international statistical data in a multidisciplinary environment are key to international comparative analysis and policy work. The availability of timely, accurate statistical information enables policy-makers, practitioners, researchers and other stakeholders to address a wide range of issues in today's rapidly-evolving global economic and social landscape.The use of traditional data such as official administrative statistics however has some shortcomings. Traditional data in general takes long to be published and used because they are subject to a long technical and sometimes political process of harmonization and validation. Also, traditional data does not cover all topics of interest for territorial cohesion.Increasingly, data and information from analysing internet activities or social media can be used for observing territorial development trends. New developments for the availability and use of big data may help to overcome the shortcomings and bring new and interesting opportunities to support policy with up-to-date information relevant for territorial analysis.Currently, the interest from policy makers is growing as the sources for Big Data (Facebook, Google, Twitter, Instagram or blogs for example) contain valuable information, which can normally be hard to gather, and these data can be collected with very short notice. This means that Big Data could provide a more regular, cost-effective and harmonised data collection and provide an opportunity to more easily address new issues of interest.The aim of this ESPON activity is to further develop ways and methodologies for using existing big data sources and platforms to develop and measure indicators for territorial monitoring and analysis. In addition, these methodologies should be applied for indicators measuring the housing dynamics in European cities and the wellbeing of European citizens, in particular related to their housing and living situation. Finally, these methodologies should be made available and applicable to others for measuring these and other aspects in cities.

The gathering and harmonisation of international statistical data in a multidisciplinary environment are key to international comparative analysis and policy work. The availability of timely, accurate statistical information enables policy-makers, practitioners, researchers and other stakeholders to address a wide range of issues in today's rapidly-evolving global economic and social landscape.The use of traditional data such as official administrative statistics however has some shortcomings. Traditional data in general takes long to be published and used because they are subject to a long technical and sometimes political process of harmonization and validation. Also, traditional data does not cover all topics of interest for territorial cohesion.Increasingly, data and information from analysing internet activities or social media can be used for observing territorial development trends. New developments for the availability and use of big data may help to overcome the shortcomings and bring new and interesting opportunities to support policy with up-to-date information relevant for territorial analysis.Currently, the interest from policy makers is growing as the sources for Big Data (Facebook, Google, Twitter, Instagram or blogs for example) contain valuable information, which can normally be hard to gather, and these data can be collected with very short notice. This means that Big Data could provide a more regular, cost-effective and harmonised data collection and provide an opportunity to more easily address new issues of interest.The aim of this ESPON activity is to further develop ways and methodologies for using existing big data sources and platforms to develop and measure indicators for territorial monitoring and analysis. In addition, these methodologies should be applied for indicators measuring the housing dynamics in European cities and the wellbeing of European citizens, in particular related to their housing and living situation. Finally, these methodologies should be made available and applicable to others for measuring these and other aspects in cities.