Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106229
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorXia, XXen_US
dc.creatorLi, HCen_US
dc.creatorWang, Ken_US
dc.creatorLiu, YXen_US
dc.date.accessioned2024-05-03T00:45:54Z-
dc.date.available2024-05-03T00:45:54Z-
dc.identifier.urihttp://hdl.handle.net/10397/106229-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2023 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Xia, X., Li, H., Wang, K., & Liu, Y. (2023). Analysis of the impact of high-speed rail on the spatio-temporal distribution of residential population and industrial structure. Heliyon, 9(10), e21088 is available at https://dx.doi.org/10.1016/j.heliyon.2023.e21088.en_US
dc.subjectHigh-speed railen_US
dc.subjectSpatio-temporal distributionen_US
dc.subjectResident populationen_US
dc.subjectIndustrial structureen_US
dc.titleAnalysis of the impact of high-speed rail on the spatio-temporal distribution of residential population and industrial structureen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume9en_US
dc.identifier.issue10en_US
dc.identifier.doi10.1016/j.heliyon.2023.e21088en_US
dcterms.abstractWith the development of high-speed rail, the spatiotemporal distance among regions has been shortened. However, the research on the spatiotemporal distribution and correlation of resident population and industrial structure caused by the opening of high-speed railway is relatively few. This study is aimed to explore the impact of high-speed rail on resident population and industrial structure, as well as the spatiotemporal agglomeration and evolution trend. The spatial-temporal distribution of the resident population, industrial structure, and the influence of high-speed rail was studied using panel data from 31 Chinese provinces from 2006 to 2018 using spatial autocorrelation analysis, standard deviation ellipse method, and DID model. The experimental results indicate that: (1) The resident population shows a significant positive spatial autocorrelation, while the industrial structure is vice versa. (2) The resident population and industrial structure are primarily centralized in the eastern and central areas, showing a "northeast-southwest" spatial distribution pattern. (3) High-speed rail and the resident population are negatively correlated, and there is heterogeneity. Although there is an association between high-speed rail and industrial structure that is positive, there is also a clear regional variability. This study contributes to providing the corresponding theoretical support and basis for the high-speed rail line planning in different regions and the relevant departments to formulate effective economic policies.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationHeliyon, Oct. 2023, v. 9, no. 10, e21088en_US
dcterms.isPartOfHeliyonen_US
dcterms.issued2023-10-
dc.identifier.isiWOS:001114058000001-
dc.identifier.eissn2405-8440en_US
dc.identifier.artne21088en_US
dc.description.validate202405 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextSocial Science Key Fostering project "Research on the Realization Mechanism and Key Policies for Carbon Peak and Neutralization of Transportation in China"en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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