This chapter applies the polycentric port region perspective on the US Gulf Region. This concept, which originates from urban studies, has recently been adapted by Van den Berghe et al. (2022) to study multiport gateway regions, with focus on the European Amsterdam-Rotterdam-Antwerp (ARA) petrochemical port region. The central research question is if and to what extent the US Gulf Region is also a polycentric port region. To do this, we analyzed the three dimensions of polycentric port regions: morphological, functional, and institutional. Based on Automatic Identification System (AIS) shipping network data, geographical mapping, and institutional historical analyses, our empirical results show that the US Gulf Region can be regarded as an emergent polycentric port region. Although there are important differences with ARA, also the US Gulf port region exists of a set of different port regions where several different petrochemical functions are located and that are functionally related. In other words, to some degree, but less than ARA, specialization and complementarity is in play. In line with the ARA region, the emergence of the oil spot market is an important moment. For the US, the physical delivery point is in Cushing, Oklahoma, and not along the coast, which differs to ARA. Nevertheless, we conclude that both regions – being the first and second most important petrochemical regions in the world – are polycentric and on top of that have important relations between them. With the current shocks in the energy market, using such perspective can help us understand what is happening or will occur in these regions; not the least in reference to the hydrogen and post-fossil chemical sector.@en

This paper enacts a dialogue between planning literature on polycentric urban regions (PUR) and port geography literature on multi-port gateways. The main proposition is that polycentric systems are the emergent outcome of the interactions between three dimensions of polycentricity: morphological, functional and institutional. The focus is on the Dutch–Belgian Amsterdam–Rotterdam–Antwerp (ARA) port–industrial region: one of the world’s largest concentrations of oil refining and petrochemical activity. The central question is to what extent is the ARA region a polycentric system and what explains this observed polycentricity? Our analyses demonstrate a high degree of morphological and functional polycentricity with each of the constituent (firms located in) ports connected through flows and specialization in processing and trading oil (products). However, this is not the intended result of formalized spatial planning, nor did the ARA ever became a frame of reference among planning agencies. Rather, it is the result of self-organization in the oil industry that has culminated in the emergence of the ARA as an internationally recognized spot market, later institutionally formalized in delivery contracts (oil futures) traded on international commodity exchanges. We conclude that polycentric systems could be understood as emergent systems that obtained generative capacities, in turn influencing its different constituting dimensions.@en

Cities never function in isolation but as nodes in overarching systems characterised by flows of goods, people, and information. To fully understand the evolution of cities, a relational approach is needed, which investigates cities in relation to other cities and urban regions. While a significant part of urban system research has focused on aspects such as the concentration of populations and economic activities, the understanding of the actual networks connecting cities and their impact is still limited. However, the required data is notoriously difficult to obtain. This dissertation contributes to knowledge on the relationship between cities in the Netherlands by exploiting – in novel ways – three data sources: web pages mentioning cities, local historical newspapers, and administrative registers. After providing an overview of the systems of cities literature, the toponym co-occurrences method is explored. This method aims at identifying patterns of relations between cities in a systematic way by looking at the co-mentions of cities in text documents (here in web pages). Using text as data appeared as a great direction for studying urban systems, and elements from this first exploration are used in the next section of the thesis where the past dynamics of the Dutch urban system is reconstructed using information flows retrieved from digitised historical newspapers. Finally in a last empirical part, the potential of information from individual-level registers about professional and residential trajectories for measuring relations between places at multiple spatial scales is investigated. This measure is then used to reveal the nested hierarchy of functional regions in the Netherlands. @en

News travels fast and far, and the general idea is that the spatial extent of news coverage has increased over time. Information flows are always involved in systems of interdependent cities. This is the reason why George Zipf and Allan Pred, both pioneers of the urban systems literature, were eager to obtain data on these relations to understand urban system dynamics. However, because of limited resources in data acquisition, they restricted their studies to small samples of cities or short periods of time. By using novel computational social science techniques on a digital archive of historical newspapers, we could map and explore changes in the spatial extent of news coverage in the Netherlands at an unprecedented detailed scale for a period of 62 years. In this paper, we analyse 24 million news items mentioning 312 different cities and towns in a sample of 31 local newspapers. Thanks to this data, we were able to reconstruct the information field of urban readerships from different cities and how it changed over time. By analysing their evolution, we find evidence of space-time contraction with an increasing coverage of faraway places in the period ranging from 1869 to 1930. However, this coverage is not evenly distributed but is characterized by a hierarchical selection process. Coverage of the largest cities in the Randstad increased at the expense of information flows from intermediate provincial cities. More generally, this paper shows how computational social science approaches may offer new ways of looking at urban dynamics with large text corpora such as digital archives of historical newspapers.@en

Previous studies have highlighted the importance of having long term data for the study of cities, but such sources are relatively scarce. This is especially the case for data about relations between cities, which is a crucial aspect of urban dynamics. Over the last two decades, many efforts have been made to digitalize texts, including books and newspapers, which are primary sources on most of our societies. Researchers have shown that these massive digital archives can be used to identify macroscopic trends related to historical and cultural changes. The wealth of geographic information in such digital archives has not been used much, while they are very valuable for the study of cities. In this paper, we present DIGGER, a newly developed dataset that we built on Delpher, the digital archive of historical newspapers of the National Library of the Netherlands, by extracting geographical information from a selection of 102 million of news items. This dataset allowed us to study the spatial diffusion of information on and between the Dutch cities from a corpus of 81 newspapers published in 29 different cities between 1869 and 1994. This paper presents the method developed to build the dataset as well as the validation steps for the accuracy of the place name recognition. This dataset can be used to study the evolution of the Dutch urban system as well as aspects related to the spatial diffusion of information and geographical bias in media coverage.@en

The study of relations between cities has long been a major focus in urban research. For decades, this field has grown integrating contributions from many disciplines. But today, the field appears rather fragmented. This study analyses the body of literature that has developed over the last 23 years to identify schools of thought on interurban relationships and to see to what extent these interact with each other. It does so by innovatively employing bibliometric analysis to the study of systems of cities, which allows a bottom-up identification of five schools of thought: one predominantly focusing on the regional or intra-metropolitan scale and centred on concepts of polycentricity; one addressing the global scale with a focus on world city networks; one employing simulation and complexity theories to understand behaviour of agents building the urban system bottom-up; one rooted in (new) economic geography and focusing on growth and decline in the urban system; and, one seeking regularities with respect to city size distributions. The conceptual, methodological and empirical aspects of these different schools are discussed by means of a ‘semantic map’ derived from the vocabulary of titles and abstracts of papers. The coupling of the semantic map with the citation networks of these schools of thought confirms the increasing fragmentation of the field over the last decades. However, in the most recent years, the different schools of thought start to interact slightly more. The desirability and feasibility of a move from multidisciplinarity to interdisciplinarity in urban systems research needs further exploration.

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While there is consensus that network embeddedness of cities is of great importance for their development, the precise effect is difficult to assess because of a lack of consistent information on relations between cities. This paper presents, applies and evaluates a rather novel method to establish the strength of relationships between places, a method we refer to as ‘the toponym co-occurrence method’. This approach builds the urban system on the basis of co-occurrences of place names in a text corpus. We innovate by exploiting a so far unparalleled amount of data, namely the billions of web pages contained in the commoncrawl web archive, and by applying the method also to small places that tend to be ignored by other methods. The entire settlement system of the Netherlands is consequently explored. In addition, we innovatively apply machine learning techniques to classify these relations. Much attention is paid to solving biases deriving from place name disambiguation. Gravity modelling is employed to assess the resulting spatial organization of the Netherlands. It turns out that the gravity model fits very well with the pattern of relationships between places as found in digital space, which contributes to our assessment that the toponym co-occurrence method is a solid proxy for relationships in real space. Using the method, it is established that the relationships in the Randstad region, by many considered a coherent metropolitan entity, are actually somewhat less strong than expected. In contrast, historically important, but nowadays small cities in the periphery tend to have maintained their prominent position in the pattern of relationships. Suburban, relatively new places in the shadow of a larger city tend to be weakly related to other places. Several suggestions to further improve the method, in particular the classification of relationships, are discussed.

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