Detecting the urban traffic network structure dynamics through the growth and analysis of multi-layer networks

Ding, Rui; Ujang, Norsidah; Hamid, Hussain; Manan, Mohd Shahrudin Abd; He, Yuou; Li, Rong; Wu, Jianjun

doi:10.1016/j.physa.2018.02.059

Cited by 59 publications

(20 citation statements)

References 69 publications

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“…The research conclusions still need to be validated in more empirical cases. Meanwhile, the function of the road networks in our study was measured by physical functions, and more traffic flow data may be considered to study the link between structure and function of the road networks in future research [43] as well as the coevolution of urban multilayer networks [69].…”

Section: Discussionmentioning

confidence: 99%

The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017

Wang

Kwan

et al. 2019

Sustainability

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Understanding the evolution and growth patterns of urban road networks helps to design an efficient and sustainable transport network. The paper proposed a general study framework and analytical workflow based on network theory that could be applied to almost any city to analyze the temporal evolution of road networks. The main tasks follow three steps: vector road network drawing, topology graph generation, and measure classification. Considering data availability and the limitations of existing studies, we took Changchun, China, a middle-sized developing city that is seldom reported in existing studies, as the study area. The research results of Changchun (1912–2017) show the road networks sprawled and densified over time, and the evolution patterns depend on the historical periods and urban planning modes. The evolution of network scales exhibits significant correlation; the population in the city is well correlated with the total road length and car ownership. Each network index also presents specific rules. All road networks are small-world networks, and the arterial roads have been consistent over time; however, the core area changes within the adjacent range but is generally far from the old city. More importantly, we found the correlation between structure and function of the urban road networks in terms of the temporal evolution. However, the temporal evolution pattern shows the correlation varies over time or planning modes, which had not been reported

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Section: Discussionmentioning

confidence: 99%

The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017

Wang

Kwan

et al. 2019

Sustainability

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“…By calculating the clustering coefficient, average shortest path length, and assortativity coefficient of the airports, the research has shown that the Chinese airline is of considerably higher value of a maximal degree and betweenness than the other top airlines. Ding et al (2018) proposed a method for measurements in areas of Kuala Lumpur (i.e., the national capital of Malaysia) to detect communities. The multilayer network model employed in their research contains the railway layer and urban street layer, which mainly focuses on detecting the changing structures of a rail network and mining in urban network communities.…”

Section: Transportation Network Optimizationmentioning

confidence: 99%

A survey of community detection methods in multilayer networks

Huang

Chen

Ren

et al. 2020

Data Min Knowl Disc

110

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Community detection is one of the most popular researches in a variety of complex systems, ranging from biology to sociology. In recent years, there’s an increasing focus on the rapid development of more complicated networks, namely multilayer networks. Communities in a single-layer network are groups of nodes that are more strongly connected among themselves than the others, while in multilayer networks, a group of well-connected nodes are shared in multiple layers. Most traditional algorithms can rarely perform well on a multilayer network without modifications. Thus, in this paper, we offer overall comparisons of existing works and analyze several representative algorithms, providing a comprehensive understanding of community detection methods in multilayer networks. The comparison results indicate that the promoting of algorithm efficiency and the extending for general multilayer networks are also expected in the forthcoming studies.

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“…The interrelationship and cooperation strength of different traffic layers must be considered in any investigation of certain aspects of multilayer networks to optimize urban forms [146,148]. Based on the study of Kuala Lumpur, Ding, Ujang et al [149] found that when the upper-layer network grows from a simple form to a more intricate form, the indicators such as network diameter, network accessibility and the average shortest path length of multilayer networks were changed dramatically, which indicated that urban traffic networks were optimized.…”

Section: Multilayer Networkmentioning

confidence: 99%

The Complex Network Theory‐Based Urban Land‐Use and Transport Interaction Studies

Ding

2019

Complexity

Self Cite

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The research on complex networks offers novel insight into the analysis of complex urban systems. The objective of this article is to provide a review of complex network theory in urban land-use and transport studies to date. Some traditional integrated studies of urban land-use and traffic networks are summarized and analysed; related research gaps were proposed. Then, this paper reviewed the application of complex network theory in urban land-use and transport research and practice. It shows that the node importance identification method is critical for network protection or attack studies; the multiple centrality assessment and kernel density estimation approaches can be used to represent the intuitionistic connections of urban traffic networks and surrounding land-uses; it can be used to verify the changing trend and variation of landscape connectivity; also it can be applied to the identification of key changed land-use types in land-use cover change; the coevolution process can be treated as an integrated way to discuss the relationships between urban traffic network growth and land-use change, and the multilayer networks based analysis is a novel method to measure their interactions. This paper is essential in establishing apparent research interests and points out the further potential application of complex network theory in urban traffic network and land-use related studies.

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Detecting the urban traffic network structure dynamics through the growth and analysis of multi-layer networks

Cited by 59 publications

References 69 publications

The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017

The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017

A survey of community detection methods in multilayer networks

The Complex Network Theory‐Based Urban Land‐Use and Transport Interaction Studies

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