Public transportation in Great Britain viewed as a complex network

Regt, Robin de; Ferber, Christian von; Holovatch, Yu.; Lebovka, Mykola

doi:10.1080/23249935.2018.1529837

Cited by 28 publications

(18 citation statements)

References 65 publications

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“…As a case study, we demonstrate this taking the PTNs of Lviv (Ukraine) and Bristol (UK). Both cities and their PTNs are of comparable size, see Table 1, and we use some of the results obtained for their PTNs as illustrations in this and forthcoming sections [18,19,44].…”

Section: Citymentioning

confidence: 99%

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Physicist’s approach to public transportation networks: between data processing and statistical physics

Korduba

Holovatch

Regt

2020

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In this paper we aim to demonstrate how physical perspective enriches usual statistical analysis when dealing with a complex system of many interacting agents of non-physical origin. To this end, we discuss analysis of urban public transportation networks viewed as complex systems. In such studies, a multi-disciplinary approach is applied by integrating methods in both data processing and statistical physics to investigate the correlation between public transportation network topological features and their operational stability. The studies incorporate concepts of coarse graining and clusterization, universality and scaling, stability and percolation behavior, diffusion and fractal analysis.Paper submitted to the Festschrift devoted to Prof.Dr. Jurij Kozicki on the occasion of his 70th birthday.

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Section: Citymentioning

confidence: 99%

“…London PTN. The radius R c 15.4 km corresponds to the transition from the compact central area to the rarefied space with d f < 2 [19] .…”

Section: Diffusion Random Walks Fractals and Ptn Modelingmentioning

confidence: 99%

Physicist’s approach to public transportation networks: between data processing and statistical physics

Korduba

Holovatch

Regt

2020

Self Cite

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“…The reason for adopting this specific metric as the benchmark against the proposed one is the following: existing topological analyses of PTNs have used the space-of-infrastructure representation to study PTNs' properties related to what this study is examining. For example, several studies have studied the efficiency of PTNs based on the shortest path length in the unweighted space-of-infrastructure network without taking into account of PT transfers (e.g., Latora and Marchiori, 2001;de Regt et al, 2018). By comparing the proposed metric based on the GTC to this benchmark, the impact of including information on service properties can be assessed.…”

Section: Additional Benchmark Travel Impedance Metricmentioning

confidence: 99%

“…Given this advantage, an increasing amount of research has been conducted to apply theories and methods from network science to study transport systems over the past decades (Lin and Ban, 2013). In particular, there has been a focus on studying the topological characteristics of public transport networks (PTNs) (e.g., Sienkiewicz and Holyst, 2005;von Ferber et al, 2007von Ferber et al, , 2009Berche et al, 2009;Louf et al, 2014;de Regt et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Integrating network science and public transport accessibility analysis for comparative assessment

Luo

Cats

Lint

et al. 2019

Journal of Transport Geography

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Network science offers powerful concepts and methods for studying complex systems, such as public transport networks. However, many existing studies on complex network analysis of public transport networks were primarily motivated to test network science concepts using real-life networks. Consequently, important properties related to public transport services in these studies have been overlooked. This has led to claims made by transport researchers that these works do not necessarily improve the understanding of system properties and performance. To bridge this gap, this study integrates network science and public transport accessibility analysis for comparative assessment across multiple public transport networks. The primary contribution of this study pertains to developing a method based on network science for computing public transport accessibility measured as the average travel impedance. The travel impedance metric is defined based on the generalized travel cost between stop pairs, containing initial and transfer waiting times, in-vehicle travel times and time-equivalent transfer penalty costs. To perform efficient computation, we propose a new type of weighted graph representation of public transport networks, which explicitly incorporates travel costs that are derived from general transit feed specification (GTFS) data. Besides the methodological contribution, the secondary one of this study consists in performing a comparative assessment of worldwide tram networks' accessibility. The analysis shows insights into how different travel components (e.g., in-vehicle travel times and waiting and transfer times) specifically account for the variance in accessibility across different networks. Additional references for improving the designing and planning of public transport networks can be obtained from such comparative assessments.

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“…(d) Other analyses for better capturing the main features of this study area are summarized below. works (Zhen et al [54], Yang et al [65], Regt et al [64], etc.) takes it into account, due to the lack of available data on spatial coordinates of PTN.…”

Section: Complexitymentioning

confidence: 99%

A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory

Zhang

Lü

et al. 2018

Complexity

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The complexity and resilience of urban public transit network (PTN) are the interdisciplinary study area between transportation engineering and system science, which is a good demonstration of applying complex network theory to promote the development of engineering science. The deep understanding of this study helps to provide a new perspective for analyzing the reliability of urban PTN. Following study process of the complexity and resilience of complex network, this paper reviews the complexity and resilience of PTN from four topics, i.e., the PTN complexity, the static resilience of PTN, the dynamic resilience (cascading failures based resilience) of single layered PTN, and the dynamic resilience of interdependent PTN. In the literature review, multiple key items are, respectively, extracted for each topic, and the engineering applicability of each topic is also analyzed, which are both for obtaining the key features of this study area. Finally, in order to realize the development trend of cyclic and forward—complex network theory, network resilience theory, transforming into a realistic model and method that is close to actual public transit operation, engineering application and practice, and contributing to complex network theory, the study status is summarized and the future development trend is prospected.

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Public transportation in Great Britain viewed as a complex network

Cited by 28 publications

References 65 publications

Physicist’s approach to public transportation networks: between data processing and statistical physics

Physicist’s approach to public transportation networks: between data processing and statistical physics

Integrating network science and public transport accessibility analysis for comparative assessment

A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory

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