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Application of complex networks theory in urban traffic network researches


Citation

Ding, Rui and Ujang, Norsidah and Hamid, Hussain and Abd Manan, Mohd Shahrudin and Li, Rong and Albadareen, Safwan Subhi Mousa and Nochian, Ashkan and Wu, Jianjun (2019) Application of complex networks theory in urban traffic network researches. Networks and Spatial Economics, 19 (4). pp. 1281-1317. ISSN 1566-113X; ESSN: 1572-9427

Abstract

Complex network theory is a multidisciplinary research direction of complexity science which has experienced a rapid surge of interest over the last two decades. Its applications in land-based urban traffic network studies have been fruitful, but have suffered from the lack of a systematic cognitive and integration framework. This paper reviews complex network theory related knowledge and discusses its applications in urban traffic network studies in several directions. This includes network representation methods, topological and geographical related studies, network communities mining, network robustness and vulnerability, big-data-based research, network optimization, co-evolution research and multilayer network theory related studies. Finally, new research directions are pointed out. With these efforts, this physics-based concept will be more easily and widely accepted by urban traffic network planners, designers, and other related scholars.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture
Faculty of Design and Architecture
DOI Number: https://doi.org/10.1007/s11067-019-09466-5
Publisher: Springer
Keywords: Complex network theory; Urban traffic network; Spatial network; Multilayer network
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 12 Nov 2020 00:45
Last Modified: 12 Nov 2020 00:45
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s11067-019-09466-5
URI: http://psasir.upm.edu.my/id/eprint/80701
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