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Weighted Complex Network Analysis of Pakistan Highways
Author(s) -
Yasir Tariq Mohmand,
Aihu Wang
Publication year - 2013
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2013/862612
Subject(s) - betweenness centrality , centrality , transport engineering , computer science , traffic congestion , complex network , business , control (management) , network analysis , regional science , computer security , operations research , geography , artificial intelligence , engineering , mathematics , electrical engineering , combinatorics , world wide web
The structure and properties of public transportation networks have great implications in urban planning, public policies, and infectious disease control. This study contributes a weighted complex network analysis of travel routes on the national highway network of Pakistan. The network is responsible for handling 75 percent of the road traffic yet is largely inadequate, poor, and unreliable. The highway network displays small world properties and is assortative in nature. Based on the betweenness centrality of the nodes, the most important cities are identified as this could help in identifying the potential congestion points in the network. Keeping in view the strategic location of Pakistan, such a study is of practical importance and could provide opportunities for policy makers to improve the performance of the highway network

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