Multi-layer Public Transport Network Analysis

Tanuja Shanmukhappa; Ivan W. H. Ho; Chi K. Tse; Xingtang Wu; Hairong Dong

doi:10.1109/ISCAS.2018.8351818

Multi-layer Public Transport Network Analysis

Tanuja Shanmukhappa^*, Ivan W. H. Ho^*, Chi K. Tse^*, Xingtang Wu, Hairong Dong

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

12 Citations (Scopus)

Abstract

In 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.

Original language	English
Title of host publication	2018 IEEE International Symposium on Circuits and Systems (ISCAS) - Proceedings
Publisher	IEEE
ISBN (Electronic)	978-1-5386-4881-0
DOIs	https://doi.org/10.1109/ISCAS.2018.8351818
Publication status	Published - May 2018
Externally published	Yes
Event	2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Florence, Italy Duration: 27 May 2018 → 30 May 2018

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2018-May
ISSN (Print)	0271-4310

Conference

Conference	2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018
Place	Italy
City	Florence
Period	27/05/18 → 30/05/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access Output

10.1109/ISCAS.2018.8351818

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{e4f09a174e1e42ee86c2520e4f3f6ee5,

title = "Multi-layer Public Transport Network Analysis",

abstract = "In 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.",

author = "Tanuja Shanmukhappa and Ho, {Ivan W. H.} and Tse, {Chi K.} and Xingtang Wu and Hairong Dong",

year = "2018",

month = may,

doi = "10.1109/ISCAS.2018.8351818",

language = "English",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "IEEE",

booktitle = "2018 IEEE International Symposium on Circuits and Systems (ISCAS) - Proceedings",

address = "United States",

note = "2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 ; Conference date: 27-05-2018 Through 30-05-2018",

}

Shanmukhappa, T, Ho, IWH, Tse, CK, Wu, X & Dong, H 2018, Multi-layer Public Transport Network Analysis. in 2018 IEEE International Symposium on Circuits and Systems (ISCAS) - Proceedings., 8351818, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 2018-May, IEEE, 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018, Florence, Italy, 27/05/18. https://doi.org/10.1109/ISCAS.2018.8351818

Multi-layer Public Transport Network Analysis. / Shanmukhappa, Tanuja; Ho, Ivan W. H.; Tse, Chi K. et al.
2018 IEEE International Symposium on Circuits and Systems (ISCAS) - Proceedings. IEEE, 2018. 8351818 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2018-May).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Multi-layer Public Transport Network Analysis

AU - Shanmukhappa, Tanuja

AU - Ho, Ivan W. H.

AU - Tse, Chi K.

AU - Wu, Xingtang

AU - Dong, Hairong

PY - 2018/5

Y1 - 2018/5

N2 - In 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.

AB - In 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.

UR - http://www.scopus.com/inward/record.url?scp=85057070202&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85057070202&origin=recordpage

U2 - 10.1109/ISCAS.2018.8351818

DO - 10.1109/ISCAS.2018.8351818

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

BT - 2018 IEEE International Symposium on Circuits and Systems (ISCAS) - Proceedings

PB - IEEE

T2 - 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018

Y2 - 27 May 2018 through 30 May 2018

ER -

Multi-layer Public Transport Network Analysis

Abstract

Publication series

Conference

UN SDGs

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this