Information diffusion between Dutch cities: Revisiting Zipf and Pred using a computational social science approach

Peris, Antoine; Meijers, Evert; Ham, Maarten van

doi:10.1016/j.compenvurbsys.2020.101565

Cited by 8 publications

(7 citation statements)

References 34 publications

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“…Thus, the two more-developed regions, i.e., the Shanghai and Guangzhou plates, were more in accord with the law of the primate city. Combined with the fact that the city primacy index was proposed in the context of small research areas [56,57], mostly featuring developed countries, it can be concluded that in a developing country with a vast territory such as China, the law of the primate city is not prominent in the entire region.…”

Section: Economic Regionalization In Chinamentioning

confidence: 99%

Economic Spatial Structure in China: Evidence from Railway Transport Network

Niu

Fang

2022

Land

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This study analyzes the structure of China’s overall railway transport network and its sub-networks of conventional railway and high-speed railway, with the aim to understand the country’s economic spatial structure that is reflected by or underlines the railway transport network. First, the results indicate that compared with developed cities, backward cities not only have fewer train services but also lack a symmetrical transport plan; backward cities tend to connect with developed cities rather than within themselves. Second, the national-level urban hierarchy was established using the proposed algorithm, which helped reveal the economic geography of three economic plates in China. Third, the law of the primate city is not prominent in a large country such as China, which is undergoing regional restructuring with the economic center of gravity shifting to the coastal area while also moving south.

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Section: Economic Regionalization In Chinamentioning

confidence: 99%

Economic Spatial Structure in China: Evidence from Railway Transport Network

Niu

Fang

2022

Land

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“…Bibliometric analysis as an effective technique provides an overview of the vast number of available literature (Peris et al, 2021 ). This technique can map the features and develop scientific production in a specific field like a global city.…”

Section: Methodsmentioning

confidence: 99%

Global city data analysis using SciMAT: a bibliometric review

Bagheri

Azadi

Soltani

et al. 2023

Environ Dev Sustain

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Global cities play a significant role in world economy as they serve as key hubs of economic activity and trade. These cities are centers of innovation, finance, culture, and commerce, attracting businesses and entrepreneurs from all over the world. They are characterized by their openness, diversity, and their ability to attract and retain talent. This paper includes a bibliometric analysis of the structure of global cities through examining the literature on global cities, including the document type, country/territory distribution, institution distribution, geographical distribution of authors, specially most active authors and their interests or research areas, relationships between principal authors and more relevant journals, and the research hot spots. The input data consists of journal articles archived by the Web of Science from 1991 to 2023, and the analysis is performed using SciMAT and VOS Viewer. The result of this paper would provide valuable insights into the state of research on this topic, including who is conducting research, where it is being conducted, what types of publications are being produced, and which themes are having the most impact on the field. Such an analysis would be useful for researchers, policymakers, and other stakeholders interested in understanding the role of global cities in the world economy. Graphical abstract

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“…Such a meso-scale model, also known as gravity model, explains the magnitude of flows between two areas based on the distance between them and the characteristics of the emitting and receiving zones. This kind of model is widely used in geography, economics, and network science to study human mobility (Pumain, 1986), information circulation (Peris et al, 2021), and international trade (De Benedictis and Taglioni, 2011). Recently it has also been used to model real estate investment flows (Alstadsaeter et al, 2022;Levy, 2021;McAllister and Nanda, 2016;Zhang et al, 2020).…”

Section: Modelling Investment Flows With Spatial Interaction Modelsmentioning

confidence: 99%

Proximity or opportunity? Spatial and market determinants of private individuals’ buy-to-let investments

Peris,

Casanova Enault

2023

Environment and Planning B: Urban Analytics and City Science

Self Cite

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This paper contributes to the debate on the liquidity of real estate investment in the context of financialisation. Using microdata built from tax registers, we analyse the geography of rental housing purchases by private individuals from three French cities. We develop a modelling approach in order to better understand the respective roles of space and market characteristics in determining buy-to-let investment flows. Considering the distribution of the data and our objective of integrating both intra- and intercity housing investments in a single model, we use an adaptive zoning approach. This approach allows high spatial resolution where interactions are strong to be kept and the aggregation of more distant, less populated areas. We demonstrate that geographical proximity is highly determinant in explaining flows of buy-to-let investments from private individuals. We also uncover striking facts related to the geography of rental investments, such as the convergence of investments from rich suburbs toward the centre of agglomerations and preferential flows from the Paris region to southern and coastal cities. Finally, we find that investors tend to buy in upmarket areas and in places that are more expensive than their market of residence. Our results indicate that geographical proximity and safety of investments are key factors in housing wealth accumulation by private individuals.

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Information diffusion between Dutch cities: Revisiting Zipf and Pred using a computational social science approach

Cited by 8 publications

References 34 publications

Economic Spatial Structure in China: Evidence from Railway Transport Network

Economic Spatial Structure in China: Evidence from Railway Transport Network

Global city data analysis using SciMAT: a bibliometric review

Proximity or opportunity? Spatial and market determinants of private individuals’ buy-to-let investments

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