Compared to the burgeoning literature discussing the importance of agglomeration externalities for development, limited attention has been given to network externalities. This is largely due to limited data availability. We propose a general measure to proxy city network externalities based on toponym co-occurrences that indicate the relatedness between cities. This paper extracts intercity relationships based on the co-occurrence of Chinese place names on 2.5 billion webpages. We calculate and map absolute and relative network positions, which we use to explain urban labour productivity. We found that a stronger embeddedness in networks of cities is significantly and positively associated with urban productivity. Smaller cities benefit comparatively more from being well embedded in city networks, suggesting that these relations can compensate for a lack of agglomeration externalities. We also compare the importance for urban performance of city network externalities vis-à-vis agglomeration externalities. City network externalities turn out to be more important in explaining urban performance than agglomeration externalities. This calls for new theorizing on a relational approach to urban and regional development. Rather than stimulating further concentration of urbanization, our findings suggest that fostering relationships between cities is a viable alternative urban development strategy. We conclude with suggestions for a research agenda that delves deeper into city network externalities.

This paper criticizes traditional models of urban–regional expansion, which depart from monocentric ideals of urban core and ring. The original spatial-cycle model (SCM) suggests repeating stages of urbanization, suburbanization, disurbanization and re-urbanization. We reconceptualize the relations between core(s) and ring(s) to test the formation of urban regions under mono-, multi- and polycentric trajectories. The analysis employs local population data in functional urban regions in Finland, Austria and the Netherlands, three countries with different urbanization patterns, for the period 1961–2011. Results suggest a ‘break of the cycle’ in polycentric regions and a shift towards a different period, which we call ‘syncurbanization’.

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.

Borrowed size refers to the idea that small cities near larger metropolitan centres can reap the advantages of large agglomerations, but without the costs of agglomeration. The study explores whether broadband internet helps such smaller cities to enjoy the labour market benefits of a larger city. Using Swedish micro-data from 2007 to 2015, together with unique data on broadband, suggestive evidence is found that broadband indeed allows smaller cities to reap such benefits. Borrowed size is primarily driven by the overall penetration of broadband in the place of residence, rather than by broadband availability at the residence.

A bourgeoning literature is stressing the crucial importance of agglomeration economies provided by large cities for personal, business and territorial development. One of the main reasons for the economic, demographic and social struggles of rural regions is exactly the lack of such agglomeration benefits. This paper explores the question of which broad strategies can make rural economies more competitive in the age of the ‘urban triumph’ by organising the presence of a higher level of agglomeration benefits in rural regions. Theoretically, three strategies are discerned: a) ‘borrowing size’ in infrastructural, transport and organisational networks to ‘tap into’ some of the benefits of surrounding or other metropolitan areas; b) urban concentration to develop a single, more attractive urban center in the rural region; and c) the formation of a strongly integrated network of complementary towns and cities in the rural region. The implementation of these strategies is often complicated, as we document for the rural province of Zeeland in the Netherlands. From an overarching perspective, it has been particularly internal fragmentation that has led to further marginalisation, peripheralisation and the missing of many opportunities to ‘borrow size’. The strategies defined here show that rural regions are not unfortunate victims of the tendencies leading to the ‘urban triumph’ but have the potential to reap the benefits of agglomeration themselves.

In this chapter, we discuss the use of gravity models in the study of spatial structure. Using the recent discussion on functional polycentricity as a background, we argue that the gravity model approach has one obvious advantage when examining spatial structure: it can simultaneously assess functional polycentricity and spatial interdependencies within one modelling framework. The chapter concludes with a discussion of methods that can be applied to estimate the gravity model.

Despite the many uncertainties of life in cities, promises of economic prosperity, social mobility and happiness have fuelled the imagination of generations of urban migrants in search of a better life. Access to jobs, housing and amenities, and fewer restrictions of personal choices are some of the perceived advantages of cities, characterised here as ‘urban promises’. But while discourses celebrating the triumph of cities became increasingly common, urban rewards are not available everywhere and for everyone. Alongside opportunity, cities offer inequality, conflict and poor living conditions. Their narrative of promise has been persistent across different times and places, but the outcomes and experiences of urban life compare poorly with the overoptimistic expectations of many newcomers. And yet, millions still come and stay regardless of odds, raising the question why we have such positive and persistent expectations about cities. To examine this question, this paper considers the process of urban migration from the perspective of decision-making under uncertainty. It discusses how decisions and evaluations are based on imperfect information and offers a novel contribution by examining how the cognitive biases and heuristics which restrict human rationality shape our responses to urban promises. This approach may allow a better understanding of how people make decisions regarding urban migration, how they perceive their urban experiences and evaluate their life stories. We consider the prospects and limitations of the behavioural approach and discuss how biases favouring narratives of bright urban futures can be exploited by ‘triumphalist’ accounts of cities which neglect their embedded injustices.

To some degree, metropolitan regions owe their existence to the ability to valorize agglomeration economies. The general perception is that agglomeration economies increase with city size, which is why economists tend to propagate urbanization, in this case in the form of metropolization. Contrarily, spatial planners traditionally emphasize the negative consequences of urban growth in terms of liveability, environmental quality, and congestion. Polycentric development models have been proposed as a specific form of metropolization that allow for both agglomeration economies and higher levels of liveability and sustainability. This paper addresses the challenge of how such polycentric development can be achieved in planning practice. We introduce 'agglomeration potential maps' that visualize potential locations in a polycentric metropolitan area where positive agglomeration externalities can be optimized. These maps are utilized in the process of developing a new spatial vision for Flanders' polycentric 'metropolitan core area', commonly known as the Flemish Diamond. The spatial vision aspires to determine where predicted future population growth in the metropolitan core area could best be located, while both optimizing positive agglomeration externalities and maintaining its small-scale morphological character. Based on a literature review of optimum urban-size thresholds and our agglomeration potential maps, we document how such maps contributed to developing this spatial vision for the Flemish metropolitan core area.