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Which city is the greenest? A multi-dimensional deconstruction of city rankings

Taubenböck, Hannes and Reiter, Marina and Dosch, Fabian and Leichtle, Tobias and Weigand, Matthias and Wurm, Michael (2021) Which city is the greenest? A multi-dimensional deconstruction of city rankings. Computers, Environment and Urban Systems, 89, pp. 1-13. Elsevier. doi: 10.1016/j.compenvurbsys.2021.101687. ISSN 0198-9715.

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Official URL: https://www.sciencedirect.com/science/article/pii/S0198971521000946

Abstract

The question “which city is the greenest” sounds trivial, but in reality, this question contains statistical ambiguities. In this study, we approach this issue by ranking cities by green space shares. However, we do not base our ranking only on one green parameter and the commonly used administrative boundaries. Instead, we broaden access to rankings through several approaches: First, we calculate two parameters, i.e. green space shares and green space per capita. Second, we apply these parameters for two cases: for all green areas as well as for green areas with a minimum size of one hectare. The latter are considered to have an impact on near-home recreation and the local climate. Third, we relate these parameters on the one hand to administrative spatial units constituting the entity ‘city’, but juxtapose these on the other hand with two alternative spatial reference units: a morphological spatial unit that closely encompasses the built-up pattern of the city, and a standardized buffer unit around the city centers. The variability of these manifold rankings obtained by this study makes clear: the rank of one city in a relational system to other cities depends strongly on these parameters and spatial units applied. In our experiments we rank and compare the 80 major cities in Germany. The diversity of results allows to discuss the susceptibility of spatial statistics to ambiguities that may arise from the use of different concepts. By integrating these multidimensional concepts into one final ranking, we propose a strategy for a more holistic and robust approach while revealing uncertainties.

Item URL in elib:https://elib.dlr.de/143160/
Document Type:Article
Title:Which city is the greenest? A multi-dimensional deconstruction of city rankings
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126
Reiter, Marinamarina.reiter (at) dlr.deUNSPECIFIED
Dosch, Fabianfabian.dosch (at) bbr.bund.deUNSPECIFIED
Leichtle, Tobiastobias.leichtle (at) dlr.deUNSPECIFIED
Weigand, MatthiasMatthias.Weigand (at) dlr.deUNSPECIFIED
Wurm, Michaelmichael.wurm (at) dlr.dehttps://orcid.org/0000-0001-5967-1894
Date:14 July 2021
Journal or Publication Title:Computers, Environment and Urban Systems
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:89
DOI :10.1016/j.compenvurbsys.2021.101687
Page Range:pp. 1-13
Publisher:Elsevier
ISSN:0198-9715
Status:Published
Keywords:Urban green Remote sensing Spatial metrics City ranking Comparative urban research
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Taubenböck, Dr. Hannes
Deposited On:26 Jul 2021 14:18
Last Modified:14 Jan 2022 11:38

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