Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107206
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electrical and Electronic Engineering-
dc.contributorMainland Development Office-
dc.creatorShanmukhappa, T-
dc.creatorHo, IWH-
dc.creatorTse, CK-
dc.creatorWu, X-
dc.creatorDong, H-
dc.date.accessioned2024-06-13T01:04:34Z-
dc.date.available2024-06-13T01:04:34Z-
dc.identifier.isbn978-1-5386-4881-0 (Electronic)-
dc.identifier.isbn978-1-5386-4882-7 (Print on Demand(PoD))-
dc.identifier.urihttp://hdl.handle.net/10397/107206-
dc.description2018 IEEE International Symposium on Circuits and Systems (ISCAS), 27-30 May 2018, Florence, Italyen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication T. Shanmukhappa, I. W. H. Ho, C. K. Tse, X. Wu and H. Dong, "Multi-layer Public Transport Network Analysis," 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 2018 is available at https://doi.org/10.1109/ISCAS.2018.8351818.en_US
dc.titleMulti-layer public transport network analysisen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/ISCAS.2018.8351818-
dcterms.abstractIn this paper, we propose a novel method called supernode graph structure representation to model the public transport network structure of the London city. Supernode is a set of geographically closely associated nodes. Using the supernode graph structure, the bus transport and the metro transport network structures are analyzed by treating them as independent mono-layer or multi-layer network structures. A method of spatial amalgamation is proposed to integrate the two transport layers. A set of most influential nodes in the network is identified by assigning node weight to each node with respect to both mono-layer and multi-layer analysis. The behavior of these influential nodes is better characterized by categorizing them as either emitter, absorber or neutral zones.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn Proceedings of 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 27-30 May 2018, Florence, Italy-
dcterms.issued2018-
dc.identifier.scopus2-s2.0-85057070202-
dc.relation.conferenceIEEE International Symposium on Circuits and Systems [ISCAS]-
dc.description.validate202404 bckw-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberEIE-0545en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; The Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS20074731en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Conference Paper
Files in This Item:
File Description SizeFormat 
Shanmukhappa_Multi-Layer_Public_Transport.pdfPre-Published version1.14 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

4
Citations as of Jun 30, 2024

SCOPUSTM   
Citations

10
Citations as of Jun 21, 2024

WEB OF SCIENCETM
Citations

13
Citations as of Jun 27, 2024

Google ScholarTM

Check

Altmetric


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