Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/103427
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estate-
dc.creatorHui, ECM-
dc.creatorLi, X-
dc.creatorChen, T-
dc.creatorLang, W-
dc.date.accessioned2023-12-11T00:33:50Z-
dc.date.available2023-12-11T00:33:50Z-
dc.identifier.issn0264-2751-
dc.identifier.urihttp://hdl.handle.net/10397/103427-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2018 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Hui, E. C., Li, X., Chen, T., & Lang, W. (2020). Deciphering the spatial structure of China's megacity region: A new bay area—The Guangdong-Hong Kong-Macao Greater Bay Area in the making. Cities, 105, 102168 is available at https://doi.org/10.1016/j.cities.2018.10.011.en_US
dc.subjectMegacity regionen_US
dc.subjectRegional integrationen_US
dc.subjectRegional planning and developmenten_US
dc.subjectThe Greater Bay Areaen_US
dc.subjectUrban agglomerationen_US
dc.titleDeciphering the spatial structure of China's megacity region : a new bay area—The Guangdong-Hong Kong-Macao Greater Bay Area in the makingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume105-
dc.identifier.doi10.1016/j.cities.2018.10.011-
dcterms.abstractIn 2015, the China State Council in its 13th Five-Year Plan for Economic and Social Development strategically initiated the Guangdong-Hong Kong-Macau Greater Bay Area, with emphasis on strengthening its role in economic development and its powerful synergy with the all-important The Belt and Road Initiative (BRI) in the country and globally. The Greater Bay Area is a unique mega city region situated at the Pearl River Delta, covering the 11 [9 mainland cities +2 special administrative regions (Hong Kong and Macau)] cities. However, few studies examined the bay area under a unique institutional and economic context. This study aims to examine regional integration and spatial connection that affect the growth and success of the megacity region using network analysis. Particularly, it analyzed the centrality of human movements, traffic flow and railway network through visualization of the results from Tencent (QQ) Location Big Data, railway service and census data. The study reveals that the vital contributor to the formation and success of the Greater Bay Area is its rapid growth of transport infrastructure and capacities, particularly high-speed railway, promoting free flowing of the key factors. Strong spatial and transport connection critically harness regional integration and boosting viable development of the Greater Bay Area. Guangzhou-Shenzhen-Hong Kong has shaped a triangle structure. The findings provide planning recommendation and policy implications for city planners and policy makers for regional governance and cooperation in mainland China, Hong Kong and worldwide.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationCities, Oct. 2020, v. 105, 102168-
dcterms.isPartOfCities-
dcterms.issued2020-10-
dc.identifier.scopus2-s2.0-85055523159-
dc.identifier.eissn1873-6084-
dc.identifier.artn102168-
dc.description.validate202312 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0851en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe PolyU Internal Research Funding (G-UA3D); National Natural Science Foundation of China; Natural Science Foundation of Guangdong Province, China; Fundamental Research Funds for the Central Universities in Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS24524377en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Hui_Deciphering_Spatial_Structure.pdfPre-Published version2.84 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

121
Last Week
5
Last month
Citations as of Nov 30, 2025

Downloads

798
Citations as of Nov 30, 2025

SCOPUSTM   
Citations

239
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

219
Citations as of Dec 18, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.