Shi, Lifeng and Leichtle, Tobias and Wurm, Michael and Taubenböck, Hannes (2022) The "ghost neighborhood" phenomenon in China - geographic locations and intra-urban spatial patterns. Environment and Planning B: Urban Analytics and City Science, 49 (9), pp. 2363-2377. Sage Publications. doi: 10.1177/23998083221092775. ISSN 2399-8083.
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Official URL: https://journals.sagepub.com/doi/10.1177/23998083221092775
Abstract
The phenomenon of “ghost cities” in China has attracted much attention in the past decade. However, the exact areal extents, specific spatial characteristics and economic development conditions of this phenomenon have been rarely investigated and recorded at intra-urban scale throughout China. Against this background, we base our study on a recently published “ghost neighborhood” map of entire China, and we analyze their geographic locations using multiple spatial metrics and categorization approaches at an intra-urban scale. The main results are as follows: 1) we categorize “ghost neighborhoods” into seven representative intra-urban pattern types across China; 2) the newly built “ghost neighborhoods” (after 2001) are mainly concentrated in thriving cities, while a small number of old “ghost neighborhoods” (before 2000) are found in resource depleted areas, that is, in cities of decline; 3) the newly built “ghost neighborhoods” are generally located at the urban edge, far away from city centers, while old “ghost neighborhoods” are found within the built-up area and spatially closer to city centers. Additionally, we relate general processes of urbanization in China with the representative types of “ghost neighborhoods.”
Item URL in elib: | https://elib.dlr.de/186584/ | ||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||
Title: | The "ghost neighborhood" phenomenon in China - geographic locations and intra-urban spatial patterns | ||||||||||||||||||||
Authors: |
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Date: | 26 April 2022 | ||||||||||||||||||||
Journal or Publication Title: | Environment and Planning B: Urban Analytics and City Science | ||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||
Volume: | 49 | ||||||||||||||||||||
DOI: | 10.1177/23998083221092775 | ||||||||||||||||||||
Page Range: | pp. 2363-2377 | ||||||||||||||||||||
Publisher: | Sage Publications | ||||||||||||||||||||
ISSN: | 2399-8083 | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | Ghost neighborhood ghost city phenomenon spatial pattern urbanization China | ||||||||||||||||||||
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: | Leichtle, Tobias | ||||||||||||||||||||
Deposited On: | 27 Jun 2022 10:37 | ||||||||||||||||||||
Last Modified: | 29 Mar 2023 00:02 |
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