Innovation District Typology Classification via Performance Framework: Insights from Sydney, Melbourne, and Brisbane
As a new land use type, innovation districts are taking prominence in the urban development policies and plans of many cities across the globe. This new urban land use comes in many shapes and forms and offers various features and functions to the users. Despite its increasing popularity, there exis...
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MDPI AG
2022-09-01
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Series: | Buildings |
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Online Access: | https://www.mdpi.com/2075-5309/12/9/1398 |
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author | Rosemary Adu-McVie Tan Yigitcanlar Bo Xia Isil Erol |
author_facet | Rosemary Adu-McVie Tan Yigitcanlar Bo Xia Isil Erol |
author_sort | Rosemary Adu-McVie |
collection | DOAJ |
description | As a new land use type, innovation districts are taking prominence in the urban development policies and plans of many cities across the globe. This new urban land use comes in many shapes and forms and offers various features and functions to the users. Despite its increasing popularity, there exist only limited approaches to classify innovation districts, and there are no holistic typologies developed so far. This study focuses on this understudied, but important area of research. The paper aims to develop an innovation district typology matrix and evaluates its practicality with real innovation district data. The methodological approach is three-fold. First, the multidimensional innovation district classification framework is adopted as a performance framework. Second, data from three eminent Australian innovation districts—i.e., Macquarie Park Innovation District (Sydney), Monash Technology Precinct (Melbourne), and Kelvin Grove Urban Village (Brisbane)—are collected. Third, both qualitative and quantitative analysis methods are employed for data analysis. The study finds that innovation district performances can be measured, and typologies can be developed though a novel approach. These, in return, inform property developers and managers, city administrators, and urban planners in their efforts to plan, design, develop, and manage competitive innovation districts. |
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format | Article |
id | doaj.art-9b13c058c33444a2bfc1a913a3f1cc32 |
institution | Directory Open Access Journal |
issn | 2075-5309 |
language | English |
last_indexed | 2024-03-10T00:31:42Z |
publishDate | 2022-09-01 |
publisher | MDPI AG |
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series | Buildings |
spelling | doaj.art-9b13c058c33444a2bfc1a913a3f1cc322023-11-23T15:23:55ZengMDPI AGBuildings2075-53092022-09-01129139810.3390/buildings12091398Innovation District Typology Classification via Performance Framework: Insights from Sydney, Melbourne, and BrisbaneRosemary Adu-McVie0Tan Yigitcanlar1Bo Xia2Isil Erol3City 4.0 Lab, Faculty of Engineering, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, AustraliaCity 4.0 Lab, Faculty of Engineering, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, AustraliaCity 4.0 Lab, Faculty of Engineering, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, AustraliaDepartment of Real Estate & Planning, Henley Business School, University of Reading, Whiteknights Rd, Reading RG6 6UD, UKAs a new land use type, innovation districts are taking prominence in the urban development policies and plans of many cities across the globe. This new urban land use comes in many shapes and forms and offers various features and functions to the users. Despite its increasing popularity, there exist only limited approaches to classify innovation districts, and there are no holistic typologies developed so far. This study focuses on this understudied, but important area of research. The paper aims to develop an innovation district typology matrix and evaluates its practicality with real innovation district data. The methodological approach is three-fold. First, the multidimensional innovation district classification framework is adopted as a performance framework. Second, data from three eminent Australian innovation districts—i.e., Macquarie Park Innovation District (Sydney), Monash Technology Precinct (Melbourne), and Kelvin Grove Urban Village (Brisbane)—are collected. Third, both qualitative and quantitative analysis methods are employed for data analysis. The study finds that innovation district performances can be measured, and typologies can be developed though a novel approach. These, in return, inform property developers and managers, city administrators, and urban planners in their efforts to plan, design, develop, and manage competitive innovation districts.https://www.mdpi.com/2075-5309/12/9/1398innovation districtinnovation district classificationtypology matrixMacquarie Park Innovation DistrictMonash Technology PrecinctKelvin Grove Urban Village |
spellingShingle | Rosemary Adu-McVie Tan Yigitcanlar Bo Xia Isil Erol Innovation District Typology Classification via Performance Framework: Insights from Sydney, Melbourne, and Brisbane Buildings innovation district innovation district classification typology matrix Macquarie Park Innovation District Monash Technology Precinct Kelvin Grove Urban Village |
title | Innovation District Typology Classification via Performance Framework: Insights from Sydney, Melbourne, and Brisbane |
title_full | Innovation District Typology Classification via Performance Framework: Insights from Sydney, Melbourne, and Brisbane |
title_fullStr | Innovation District Typology Classification via Performance Framework: Insights from Sydney, Melbourne, and Brisbane |
title_full_unstemmed | Innovation District Typology Classification via Performance Framework: Insights from Sydney, Melbourne, and Brisbane |
title_short | Innovation District Typology Classification via Performance Framework: Insights from Sydney, Melbourne, and Brisbane |
title_sort | innovation district typology classification via performance framework insights from sydney melbourne and brisbane |
topic | innovation district innovation district classification typology matrix Macquarie Park Innovation District Monash Technology Precinct Kelvin Grove Urban Village |
url | https://www.mdpi.com/2075-5309/12/9/1398 |
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