Arbabi, H. orcid.org/0000-0001-8518-9022, Mayfield, M. and McCann, P. (2019) Productivity, infrastructure, and urban density – an allometric comparison of three European city-regions across scales. Journal of the Royal Statistical Society: Series A, 183 (1). pp. 211-228. ISSN 0964-1998
Abstract
Agglomeration-based arguments citing Dutch and German city-regions have been a primary driver in advocating intercity transport strategies in the north of England. In this paper, we adopt an allometric urban model investigating the applicability and transferability of these transport-led agglomerative strategies promoted to address England’s regional economic under-performance. This is undertaken through a comparative study of the size-cost performance balance of three city-regions and the overall urban networks in the Netherlands, Germany, and England and Wales using city units defined at different spatial scales. While our results support a case for better mobility and transport comparing the three urban networks regardless of the spatial scales, comparisons of specific city-regions indicate a more nuanced interplay of productivity, mobility infrastructure, and urban density.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Royal Statistical Society. This is an author-produced version of a paper subsequently published in Journal of the Royal Statistical Society: Series A. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | agglomeration; urbanscaling; transport; densification; poly-centric regions |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Jun 2019 14:26 |
Last Modified: | 07 Dec 2021 10:28 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1111/rssa.12490 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:147326 |