TY - JOUR
T1 - Recent Development in Public Transport Network Analysis From the Complex Network Perspective
AU - Tanuja Shanmukhappa, null
AU - Ivan Wang-Hei Ho, null
AU - Tse, Chi K.
AU - Kin K. Leung, null
PY - 2019
Y1 - 2019
N2 - A graph, comprising a set of nodes connected by edges, is one of the
simplest yet remarkably useful mathematical structures for the analysis
of real-world complex systems. Network theory, being an
application-based extension of graph theory, has been applied to a wide
variety of real-world systems involving complex interconnection of
subsystems. The application of network theory has permitted in-depth
understanding of connectivity, topologies, and operations of many
practical networked systems as well as the roles that various parameters
play in determining the performance of such systems. In the field of
transportation networks, however, the use of graph theory has been
relatively much less explored, and this motivates us to bring together
the recent development in the field of public transport analysis from a
graph theoretic perspective. In this paper, we focus on ground
transportation, and in particular the bus transport network (BTN) and
metro transport network (MTN), since the two types of networks are
widely used by the public and their performances have significant impact
to people's life. In the course of our analysis, various network
parameters are introduced to probe into the impact of topologies and
their relative merits and demerits in transportation. The various local
and global properties evaluated as part of the topological analysis
provide a common platform to comprehend and decipher the inherent
network features that are partly encoded in their topological
properties. Overall, this paper gives a detailed exposition of recent
development in the use of graph theory in public transport network
analysis, and summarizes the key results that offer important insights
for government agencies and public transport system operators to plan,
design, and optimize future public transport networks in order to
achieve more efficient and robust services.
AB - A graph, comprising a set of nodes connected by edges, is one of the
simplest yet remarkably useful mathematical structures for the analysis
of real-world complex systems. Network theory, being an
application-based extension of graph theory, has been applied to a wide
variety of real-world systems involving complex interconnection of
subsystems. The application of network theory has permitted in-depth
understanding of connectivity, topologies, and operations of many
practical networked systems as well as the roles that various parameters
play in determining the performance of such systems. In the field of
transportation networks, however, the use of graph theory has been
relatively much less explored, and this motivates us to bring together
the recent development in the field of public transport analysis from a
graph theoretic perspective. In this paper, we focus on ground
transportation, and in particular the bus transport network (BTN) and
metro transport network (MTN), since the two types of networks are
widely used by the public and their performances have significant impact
to people's life. In the course of our analysis, various network
parameters are introduced to probe into the impact of topologies and
their relative merits and demerits in transportation. The various local
and global properties evaluated as part of the topological analysis
provide a common platform to comprehend and decipher the inherent
network features that are partly encoded in their topological
properties. Overall, this paper gives a detailed exposition of recent
development in the use of graph theory in public transport network
analysis, and summarizes the key results that offer important insights
for government agencies and public transport system operators to plan,
design, and optimize future public transport networks in order to
achieve more efficient and robust services.
UR - http://www.scopus.com/inward/record.url?scp=85077783529&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85077783529&origin=recordpage
U2 - 10.1109/MCAS.2019.2945211
DO - 10.1109/MCAS.2019.2945211
M3 - RGC 21 - Publication in refereed journal
SN - 1531-636X
VL - 19
SP - 39
EP - 65
JO - IEEE Circuits and Systems Magazine
JF - IEEE Circuits and Systems Magazine
IS - 4
M1 - 8873420
ER -