Introducing a new centrality measure from the transportation network analysis in Greece

Tsiotas, Dimitrios; Polyzos, Serafeim

doi:10.1007/s10479-013-1434-0

Cited by 29 publications

(35 citation statements)

References 27 publications

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“…This test opines for the universality of the model, because it helps to assess, whether the assumption that the parameters are the same for all categories is reasonable. Substantially, parallel lines test suggest a hypothesis testing (Berger, 1982;Tsiotas and Polyzos, 2013a), under the null hypothesis H 0 : the location parameters of the model are the same for all categories of the dependent variable and the alternative H 1 : the general model stands that has different parameters per category. Here, the statistical significance is calculated for the general model and, consequently, the null hypothesis is acceptable (Norusis, 2004) when p value (Doan, 2005) presents higher scores than 0,05 or 0,1 (McCullagh and Nelder, 1989).…”

Section: Resultsmentioning

confidence: 99%

Determining the Driving Factors o f Co mmuting: An Empirical Analysis f rom Greece

Polyzos¹,

Tsiotas²,

Minetos³

2013

JESTR

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Commuting refers to the act of daily traveling, between two locations, for employment purposes and suggests a multidimensional phenomenon in Regional Science, which is determined by social, economic, geographic and political factors. This paper conducts initially a literal approach of the phenomenon and further proceeds to an empirical ordinal regression analysis for the spatial network consisting of two Greece regions (Thessaly and Sterea Hellas) that verifies the theoretical framework. The theoretical review contributes to the formulation of the independent (predictor) variables and generally to the construction of the ordinal regression model and the corresponding empirical approach, in order to specialize the theoretical framework to the Greek case and to recognize the spatial patterns that rule the commuting phenomenon. Some conclusions that are made, come to an agreement with the well established theories of gravity modeling, expanding city and binomial law and others elect an amount of interesting contradictions to the theoretical framework.

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Section: Resultsmentioning

confidence: 99%

Determining the Driving Factors o f Co mmuting: An Empirical Analysis f rom Greece

Polyzos¹,

Tsiotas²,

Minetos³

2013

JESTR

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“…Although the methods above are very efficient and well-accepted, dozens of new centrality measures have been developed based on specific conditions and assumptions [35][36][37]. Among such studies was one conducted by Du et al [38], who proposed a new method of identifying central stations (or bus stops) in complex networks based on a technique for order performance by similarity to ideal solution (TOPSIS).…”

Section: Application Of Graph Theory In the Public Transportation Fieldmentioning

confidence: 99%

Exploring the Topological Characteristics of Complex Public Transportation Networks: Focus on Variations in Both Single and Integrated Systems in the Seoul Metropolitan Area

et al. 2019

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Many cities have integrated their public transportation modes to provide increased accessibility and reduced commute times. However, current transport network topology studies have focused on unimodal networks. Therefore, it is of significant interest for policymakers to examine the topology of integrated public transportation networks and to assess strategies for improving them. The objective of this study was to discuss a comprehensive analysis of an integrated public transportation network using graph theory, compare its characteristics to unimodal networks, and draw insights for improving their performance. Results demonstrate pertinent information concerning the structural composition of the Seoul Metropolitan Area’s (SMA) public transportation network. Despite the integration, the spatial configuration of the network was found to have low fault tolerance. However, the highly agglomerated community structure validated the robustness of integrated networks. Network centrality measures confirmed that integration improves connectivity and spatial accessibility to suburbs within the city. The study found that the SMA’s current public transportation network possesses structural defects that need to be addressed to improve its resilience and performance. Based on the outcomes of this study, the strategic creation or relocation of stations, and the construction of more links, is imperative for the enhancement of mobility.

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“…The available edge data is organized in diagonal adjacency matrices D 39×39 (Diestel 2005) and concern records of the year 2010 . The Greek interregional commuting network is considered additionally to edge-also as node-weighted (Tsiotas and Polyzos 2013a), meaning that each node v i ∈V(G) is described by a set of weight values w i ={w i } that correspond to node socioeconomic attributes, which operate accordingly to the way that the degree value (Diestel 2005) describes a node. This consideration renders the set of nodes in the interregional commuting network into a vector space of dimension |V(G)|=39, where the sets with the node weights for each attribute are treated as separate statistical variables.…”

Section: Graph Theoretical Model and Datamentioning

confidence: 99%

Making the Web-Science Operational for Interregional Commuting Analysis: Evidence from Greece

Tsiotas

Polyzos

2015

J Knowl Econ

Self Cite

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This article proposes a Network Theoretical model for the interregional commuting analysis, estimating the volume of commuters that operate in a commuting network, based on the conceptual framework of the term BWeb,^as provided by the Web-Science. Initially, the Web-Science's conceptual framework is being generalized to operate for any kind of network and, afterwards, the proposed model is constructed, under the rationale that each conceptual component in the generalized Network Theoretical framework should be represented by different variables. The applicability of the proposed model is evaluated on real data of the Greek interregional commuting system, formulated by the capital cities of the Greek non-insular prefectures (|V(G)|=n=39) and by their respective interconnection axes (|E(G)|=m=72). The results of the analysis show respect to the categories of the proposed conceptual framework, where the overall empirical analysis of the Greek interregional commuting network elected the population variable as the most determinative factor for the commuting phenomenon.

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Introducing a new centrality measure from the transportation network analysis in Greece

Cited by 29 publications

References 27 publications

Determining the Driving Factors o f Co mmuting: An Empirical Analysis f rom Greece

Determining the Driving Factors o f Co mmuting: An Empirical Analysis f rom Greece

Exploring the Topological Characteristics of Complex Public Transportation Networks: Focus on Variations in Both Single and Integrated Systems in the Seoul Metropolitan Area

Making the Web-Science Operational for Interregional Commuting Analysis: Evidence from Greece

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