elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Urbanization that hides in the dark – Spotting China’s “ghost neighborhoods” from space

Shi, Lifeng and Wurm, Michael and Huang, Xianjin and Zhong, Taiyang and Leichtle, Tobias and Taubenböck, Hannes (2020) Urbanization that hides in the dark – Spotting China’s “ghost neighborhoods” from space. Landscape and Urban Planning, 200, pp. 1-14. Elsevier. doi: 10.1016/j.landurbplan.2020.103822. ISSN 0169-2046.

Full text not available from this repository.

Official URL: https://www.sciencedirect.com/science/article/pii/S0169204619314185

Abstract

The excessive planning and construction of new cities and towns as well the massive expansion of planned settlement areas in China reveals a surprising phenomenon: extensive newly constructed areas that are characterized by severe under capacity. This phenomenon is described as “ghost city” and usually appears at the intra-urban scale. However, current data and methods are inappropriate to detect this phenomenon at this intraurban scale for entire China. Besides, most studies neglect the usual immigration period of newly built areas. In this study, we suggest a new term, the “ghost neighborhood”, which refers to a new residential neighborhood that still runs at severe under capacity after a typical immigration period of five to six years. Based on this conceptual baseline, we identify “ghost neighborhoods” across China by developing a methodology to gradually exclude the “non-ghost areas” by predominantly relying on night-light emissions. The process is based on LJ1-01 night-light data, TanDEM-X data and Global Urban Footprint data, which feature evident advantages in spatial resolutions while being available for entire China. The main results are as follows: 1) we identify 1048 “ghost neighborhoods” across the urban landscapes of China with a total coverage area of 353.64 km2; they are estimated to have the capacity to house 13.6 million people; 2) the identified “ghost neighborhoods” are particularly frequent and large in the dynamically urbanizing regions, such as the Pearl River Delta, the Yangtze River Delta and the entire Shandong province.

Item URL in elib:https://elib.dlr.de/135029/
Document Type:Article
Title:Urbanization that hides in the dark – Spotting China’s “ghost neighborhoods” from space
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Shi, LifengNanjing UniversityUNSPECIFIEDUNSPECIFIED
Wurm, MichaelUNSPECIFIEDhttps://orcid.org/0000-0001-5967-1894UNSPECIFIED
Huang, XianjinNanjing UniversityUNSPECIFIEDUNSPECIFIED
Zhong, TaiyangNanjing UniversityUNSPECIFIEDUNSPECIFIED
Leichtle, TobiasUNSPECIFIEDhttps://orcid.org/0000-0002-0852-4437UNSPECIFIED
Taubenböck, HannesUNSPECIFIEDhttps://orcid.org/0000-0003-4360-9126UNSPECIFIED
Date:23 April 2020
Journal or Publication Title:Landscape and Urban Planning
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:200
DOI:10.1016/j.landurbplan.2020.103822
Page Range:pp. 1-14
Publisher:Elsevier
ISSN:0169-2046
Status:Published
Keywords:“Ghost city” phenomenon, Residential area, Urbanization, Remote sensing
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, Prof. Dr. Hannes
Deposited On:18 Jun 2020 14:37
Last Modified:20 Oct 2023 09:04

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.