Returning the particular: Understanding hierarchies in the Belgian logistics system

Abstract

The recent proliferation of big data sources has given rise to a data deluge. Network theory has become the standard methodology to frame, develop and analyze such massive datasets. In line with the critique of Schwanen ( 2016), we argue in this paper that initiatives confronting networkbased insights with (qualitative) location-and domain-specific insights are necessary in understanding, discussing and advancing the role network analysis can play in geography. By iterating a community detection algorithm to achieve different levels of communities and quantifying the borders between them through damping values (as proposed in Grauwin et al., 2017), we show how to derive the hierarchical structure within the logistics buyer-supplier network in Belgium. This allows for a richer geography, which has been missing in current big data studies.

Location Data Analytics in the Business Value Chain: A Systematic Literature Review

“…Content may change prior to final publication. [13], [44], [45], [47], [49]- [51], [53]- [56], [58], [60], [64], [76], [78], [82]- [84], [86]- [90], [93]- [98], [101], [102], [106]- [111], [113], [114], [116]- [120], [122]- [124], [127], [128], [132], [134]- [138], [143], [148], [149], [153], [155], [156], [158], [160], [161], [163], [167], [171], [175], [178]- [183], …”

Assessing Daily Urban Systems: A Heterogeneous Commuting Network Approach

“…This can be done e.g. by calculating damping values as proposed in Grauwin et al (2017) and previously applied on logistics linkages by Beckers et al (2017). Additionally, we are in the process of applying the same network approach on other data, like shopping trips and school selection, in order to obtain a more multi-dimensional image of the DUSs.…”

“…The partitioning was exerted using the Louvain method (Blondel et al 2008). We chose the Louvain method as it has been frequently applied to Belgian data (telephone data, commuting data, migration data, logistics networks) and the methodological pitfalls are well known (Adam et al 2017;Beckers et al 2017;Thomas et al 2017). This community detection algorithm evaluates the gain in modularity that would take place by including a certain node in one of the communities.…”

Analysis of the Spatio-Temporal Evolution and Factors Influencing the Freight Network in the Middle Reaches of the Yangtze River

“…e rapid development of information network technology compresses space-time, and the flow of information, capital, people and other elements are imperceptibly reshaping the urban system [10,11]. With the acceleration of logistics information, new logistics business forms are emerging, and the specialized freight information platform is one such.…”