Researching commuting to work using the methods of complex network analysis

Pálóczi, Gábor

doi:10.15196/rs06101

Cited by 3 publications

(9 citation statements)

References 20 publications

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“…The discipline, as mentioned above, has found application in various research areas such as in the study of economic and social systems [55][56][57]; the study of infrastructure and transportation [58,59]; applications in urban and spatial planning [60][61][62]; and the analysis of ecological systems [63,64]. In particular, graph theory has demonstrated its adaptability for analysing commuter flows [65][66][67]. In mathematical terms, a graph "G" can be defined as a mathematical structure consisting of a non-empty set of nodes (n) denoted as V(G), a set of links (e) denoted as "E(G)", and the relationships "Ψ" associated with each link joining two nodes:…”

Section: Materials and Methods And Datamentioning

confidence: 99%

Visual Analysis to Assess Attraction and Organisation of Contemporary Metropolitan Systems—A Case Study of Central and Northern Italy

Ganciu,

Balestrieri

2023

Sustainability

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The landscape of scientific research is rich with experiments aimed at identifying polycentric morphologies, defining their degree of polycentricity, and the socio-economic and environmental relationships that develop within them. However, some aspects are still under-researched, such as defining a procedure for determining the extent of the metropolitan area of influence. This research aims to experiment with a graphical–analytical methodology aimed at identifying and representing the functional area of metropolises, i.e., the territorial limit beyond which a metropolis’ attractiveness ceases to exert its territorial influence, and which also allows the territorial ramification of urban cores with greater attractiveness to be determined and visualized graphically. Using Visual Analytics as a conceptual basis, it is possible to combine methods and technologies that harness the potential of human understanding with the increased capabilities of electronic data processing for a more adequate understanding of the research scope. For this research, the graph-analytic mix adopted comprises the graph theory algorithms for the analytical quantification of relationships and the reference surface area of polycentric metropolises. In contrast, the subsequent visualisation of relationships and their spatial branching is based on the electronic evolution of graphical techniques based on the works of Henry Drury Harness and Charles Joseph Minard, particularly those invented to map commuter flows and migrations. The research results, focusing on Northern Italy, demonstrate a highly interconnected and polycentric system, with macro-areas whose functional boundaries seldom coincide with the administrative boundaries of the regions. The research demonstrates the existence of five territorial macro-regions encompassing the 11 regions outlined in the Italian state’s legislation, containing polycentric metropolitan systems with distributional characteristics that differ from each other.

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Section: Materials and Methods And Datamentioning

confidence: 99%

Visual Analysis to Assess Attraction and Organisation of Contemporary Metropolitan Systems—A Case Study of Central and Northern Italy

Ganciu,

Balestrieri

2023

Sustainability

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“…Pálóczi analyzed the country-wide commuting in Hungary, using the methods of complex network analysis, based on the data from the 2011 census [6]. He considered settlements as nodes, and commuters as a directed edge between the nodes, then applied the disparity (Y 2 ) parameter [37], which was developed to measure the heterogeneity of weighted relations.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Kiss and Matyusz state that, although commuting is an important and common phenomenon, its measurement by questionnaires (e.g., [4]) is occasional and inadequate to understand the detailed tendencies [3]. Commuting is analyzed by census data (e.g., [3,[5][6][7][8][9][10]) in detail, but that is performed only once in a decade (in Hungary) and thus cannot follow sudden but permanent changes. For these reasons, commuting should be examined more continuously.…”

Section: Introductionmentioning

confidence: 99%

Commuting Analysis of the Budapest Metropolitan Area Using Mobile Network Data

Pintér

Felde

2022

IJGI

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The analysis of human movement patterns based on mobile network data makes it possible to examine a very large population cost-effectively and has led to several discoveries about human dynamics. However, the application of this data source is still not common practice. The goal of this study was to analyze the commuting tendencies of the Budapest Metropolitan Area using mobile network data as a case study and propose an automatized alternative approach to the current, questionnaire-based method, as commuting is predominantly analyzed by the census, which is performed only once in a decade in Hungary. To analyze commuting, the home and work locations of cell phone subscribers were determined based on their appearances during and outside working hours. The detected home locations of the subscribers were compared to census data at a settlement level. Then, the settlement and district level commuting tendencies were identified and compared to the findings of census-based sociological studies. It was found that the commuting analysis based on mobile network data strongly correlated with the census-based findings, even though home and work locations were estimated by statistical methods. All the examined aspects, including commuting from sectors of the agglomeration to the districts of Budapest and the age-group-based distribution of the commuters, showed that mobile network data could be an automatized, fast, cost-effective, and relatively accurate way of analyzing commuting, that could provide a powerful tool for sociologists interested in commuting.

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“…Let 𝐹 be the origin-destination commuting matrix with 𝑖𝑗 th entry equal to the commuting flow 𝑓 𝑖𝑗 from area 𝑖 to area 𝑗. Following De Montis et al (2013), Pálóczi (2016), andAdam et al (2018), we measure the strength of the commuting flows between areas via the symmetric matrix…”

Section: Delineating Functional Lmasmentioning

confidence: 99%

“…The Louvain algorithm is one of many algorithms that partition the nodes in a network into "communities" that "share common properties and/or play similar roles" (Fortunato, 2010). It is applied in several studies of local labour markets (De Montis, Caschili, & Chessa, 2013;Pálóczi, 2016;Thomas, Adam, & Verhetsel, 2017;Adam, Delvenne, & Thomas, 2018;Dannemann, Sotomayor-Gómez, & Samaniego, 2018). Other algorithms have different objectives, such as maximising random walk containment (Pons & Latapy, 2006) or minimising the random walk description lengths (Rosvall & Bergstrom, 2008).…”

Section: The Louvain Algorithmmentioning

confidence: 99%