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Article: Will rapid urban expansion in the drylands of northern China continue: A scenario analysis based on the Land Use Scenario Dynamics-urban model and the Shared Socioeconomic Pathways

TitleWill rapid urban expansion in the drylands of northern China continue: A scenario analysis based on the Land Use Scenario Dynamics-urban model and the Shared Socioeconomic Pathways
Authors
KeywordsDrylands of northern China
LUSD-Urban model
Scenario analysis
Shared Socioeconomic Pathways
Urban expansion
Issue Date2017
Citation
Journal of Cleaner Production, 2017, v. 165, p. 57-69 How to Cite?
AbstractUnderstanding spatiotemporal urbanization is one of the key questions related to sustainable urbanization in the drylands of northern China (DNC). However, urban expansion in the DNC has not been quantified and assessed effectively due to a lack of reliable data and methods. In this paper, we investigate urban expansion in the DNC at multiple scales, ranging from the whole region to four dryland subtypes, and six urban agglomerations in the DNC from 1992 to 2015. We also simulate urban expansion in the DNC from 2015 to 2050 by coupling the scenario framework of the Shared Socioeconomic Pathways (SSPs) with the Land Use Scenario Dynamics-urban (LUSD-urban) model. Despite of the uncertainty in the research, our findings provide useful insight into the past and the future urban expansion in the DNC. The results indicate that the urban land in the DNC expanded rapidly from 4110 km2 in 1992 to 20,969 km2 in 2015. Furthermore, the urban land in the DNC will continue to expand from 20,969 km2 to 22,987–36,622 km2 by 2040, with an annual growth of 80.72–403.48 km2 under all SSPs. Thus, it is suggested that effective measures are urgently needed to facilitate sustainable urban development in the DNC.
Persistent Identifierhttp://hdl.handle.net/10722/333292
ISSN
2021 Impact Factor: 11.072
2020 SCImago Journal Rankings: 1.937
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHe, Chunyang-
dc.contributor.authorLi, Jingwei-
dc.contributor.authorZhang, Xiaoling-
dc.contributor.authorLiu, Zhifeng-
dc.contributor.authorZhang, Da-
dc.date.accessioned2023-10-06T05:18:14Z-
dc.date.available2023-10-06T05:18:14Z-
dc.date.issued2017-
dc.identifier.citationJournal of Cleaner Production, 2017, v. 165, p. 57-69-
dc.identifier.issn0959-6526-
dc.identifier.urihttp://hdl.handle.net/10722/333292-
dc.description.abstractUnderstanding spatiotemporal urbanization is one of the key questions related to sustainable urbanization in the drylands of northern China (DNC). However, urban expansion in the DNC has not been quantified and assessed effectively due to a lack of reliable data and methods. In this paper, we investigate urban expansion in the DNC at multiple scales, ranging from the whole region to four dryland subtypes, and six urban agglomerations in the DNC from 1992 to 2015. We also simulate urban expansion in the DNC from 2015 to 2050 by coupling the scenario framework of the Shared Socioeconomic Pathways (SSPs) with the Land Use Scenario Dynamics-urban (LUSD-urban) model. Despite of the uncertainty in the research, our findings provide useful insight into the past and the future urban expansion in the DNC. The results indicate that the urban land in the DNC expanded rapidly from 4110 km2 in 1992 to 20,969 km2 in 2015. Furthermore, the urban land in the DNC will continue to expand from 20,969 km2 to 22,987–36,622 km2 by 2040, with an annual growth of 80.72–403.48 km2 under all SSPs. Thus, it is suggested that effective measures are urgently needed to facilitate sustainable urban development in the DNC.-
dc.languageeng-
dc.relation.ispartofJournal of Cleaner Production-
dc.subjectDrylands of northern China-
dc.subjectLUSD-Urban model-
dc.subjectScenario analysis-
dc.subjectShared Socioeconomic Pathways-
dc.subjectUrban expansion-
dc.titleWill rapid urban expansion in the drylands of northern China continue: A scenario analysis based on the Land Use Scenario Dynamics-urban model and the Shared Socioeconomic Pathways-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jclepro.2017.07.018-
dc.identifier.scopuseid_2-s2.0-85028028287-
dc.identifier.volume165-
dc.identifier.spage57-
dc.identifier.epage69-
dc.identifier.isiWOS:000411544400006-

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