Research on centrality of urban transport network nodes

Wang, Kui; Fu, Xiufen

doi:10.1063/1.4982546

Cited by 18 publications

(12 citation statements)

References 3 publications

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“…The key nodes and branch networks play a vital role in the connectivity of the entire network, reflecting the complexity and intrinsic dynamics of the public transport network. Relevant literature [15,17] also confirms that improving the capabilities of key nodes and the micro-circulation capability of the feeder roads is an important approach for improving the overall network capabilities.…”

Section: Resultsmentioning

confidence: 91%

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Urban Transit Network Properties Evaluation and Optimization Based on Complex Network Theory

Jia

Rong-guo

2019

Sustainability

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Urban public transportation contributes greatly to sustainable urban development. An urban public transportation network is a complex system. It is meaningful for theory and practice to analyze the topological structure of an urban public transportation network and explore the spatial structure of an urban transportation network so as to mitigate and prevent traffic congestion and achieve sustainability. By examining the Xi’an bus network, the degree distribution, average path length, aggregation coefficient, and betweenness centrality of the bus station network were computed using models in complex network theory. The results show that the node degrees of the Xi’an bus network are unevenly distributed and present a polarization diagram with long average path length and high aggregation. A model based on betweenness and its solution method was developed to improve the public transportation network’s sustainability and discuss the possibility of optimizing the sustainability by network analyzing methods.

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Section: Resultsmentioning

confidence: 91%

“…The topology of the public transport network deserves further research. By analyzing the characteristics of the existing network, a better public transportation system can be designed, and thus its utility can be improved [15,16].…”

Section: Introductionmentioning

confidence: 99%

Urban Transit Network Properties Evaluation and Optimization Based on Complex Network Theory

Jia

Rong-guo

2019

Sustainability

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“…You can also add to the mentioned functions [49]: network initiation, selection of economic partners, responsibility for the efficient delivery of products, creating the organizational culture of the network and establishing new forms of cooperation [23,50]. A logistics company that is able to take over the functions of the central link in the distribution network must have a number of attributes [51]. Among the distinguishing features of flagship companies the following can be distinguished [49]: a significant number of various processes implemented in the added value stream, the ability to cooperate with production companies, significant market share, a significant number of serviced segments on the market, a relatively large geographic scope of the markets served, having access to distribution infrastructure (warehouses, branches), the ability to freely shape and create the network structure, the ability to undertake activities related to network reconfiguration, high relational abilities and a significant level of networking, significant position in the network in terms of conduction and intermediation.…”

Section: Logistics Operator In the Distribution Networkmentioning

confidence: 99%

Quality of Forecasts as the Factor Determining the Coordination of Logistics Processes by Logistic Operator

Kramarz

Kmiecik

2022

Sustainability

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(1) Background: Currently, logistics operators are struggling with the problem of acquiring new areas to create added value. One of such challenges is acquiring a new function in the form of demand forecasting and coordination skills. The increase in the need to forecast demand is related to the increasing complexity of the distribution network, omnichannel systems and turbulent environment. It is necessary to have a comprehensive approach to the distribution network and to develop competences related to coordination. For the authors, one of the most important coordination factors is the quality of forecasts, especially in relation to modern logistics operators. (2) Methods: In literature studies, the authors combine prognostic abilities with a predisposition to coordinate logistic processes in distribution networks. The aim of the research is to develop a forecasting model that will allow a logistic operator who aspires to coordinate logistics processes to create forecasts in the distribution system. The tool was developed in the R programming language and allows for forecasting based on data from the Warehouse Management System; (3) Results: The quality of forecasts is correlated with the characteristics of the products, the relationship between the manufacturing company and the logistics operator, and the configuration of the distribution network in individual chains. The results of the forecasts were compared with selected features of each of the 5 distribution networks that were tested. In parallel, the attributes of a company capable of forecasting in the distribution network were analyzed. These attributes were also compared to those of the logistics operator. (4) Conclusions: The authors proved that a logistic operator with a set of defined features is capable of generating demand in the entire distribution network.

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“…Methods to identify and rank the most important nodes of complex networks have a long history in complex network science [45,34,35,22,23,48,54]. Among many others, urban networks have been a key application of a variety of centrality measures including degree, closeness, betweenness, and different variants of eigenvector centralities [27,26,57,58,66,53,70,3,42,28].…”

Section: Matrix Function-based Centralitiesmentioning

confidence: 99%

Orientations and matrix function-based centralities in multiplex network analysis of urban public transport

Bergermann,

Stoll

2021

Preprint

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We study urban public transport systems by means of multiplex networks in which stops are represented as nodes and each line is represented by a layer. We determine and visualize public transport network orientations and compare them with street network orientations of the 36 largest German as well as 18 selected major European cities. We find that German urban public transport networks are mainly oriented in a direction close to the cardinal east-west axis, which usually coincides with one of two orthogonal preferential directions of the corresponding street network. While this behavior is present in only a subset of the considered European cities it remains true that none but one considered public transport network has a distinct north-south-like preferential orientation. Furthermore, we study the applicability of the class of matrix function-based centrality measures, which has recently been generalized from single-layer networks to layer-coupled multiplex networks, to our more general urban multiplex framework. Numerical experiments based on highly efficient and scalable methods from numerical linear algebra show promising results, which are in line with previous studies. We comment on advantages over existing methodology, elaborate on the comparison of different measures and weight models, and present detailed hyper-parameter studies. All results are illustrated by demonstrative graphical representations.

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Research on centrality of urban transport network nodes

Cited by 18 publications

References 3 publications

Urban Transit Network Properties Evaluation and Optimization Based on Complex Network Theory

Urban Transit Network Properties Evaluation and Optimization Based on Complex Network Theory

Quality of Forecasts as the Factor Determining the Coordination of Logistics Processes by Logistic Operator

Orientations and matrix function-based centralities in multiplex network analysis of urban public transport

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