Basins of attraction around large cities - A study of urban interaction spaces in Europe

Dzięcielski, Michał; Kourtit, Karima; Nijkamp, Peter; Ratajczak, Waldemar

doi:10.1016/j.cities.2021.103366

Cited by 10 publications

(2 citation statements)

References 41 publications

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“…Therefore, research on the spatial network structure and economic spillover effects in urban agglomeration based on element flows is of great importance to the study of the formation of the spatial pattern of urban agglomerations, the process of coordinated development, and the highquality development path of urban agglomeration. A large amount of recent research in this field has been conducted from the perspective of economic growth [7][8][9], spillover effects [9,10], interactions [11][12][13], spatial correlation structure [14], and spatial evolution [15,16] using, for example, production functions, gravity models, spatial analysis, and QAP(Quadratic Assignment Procedure) analysis, and so on [17,18]. However, research on the spatial network structure of element flow and the economic spillover effect of urban agglomerations from the perspective of 'flow space' remains inadequate, and research on the mechanism of its coordinated economic development needs to be deepened, particularly in undeveloped urban agglomerations.…”

Section: Introductionmentioning

confidence: 99%

Spatial network characteristics and economic effects of element flow in the Lanxi urban agglomeration

Zhao,

Yang,

Chang

2024

PLoS ONE

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The spatial characteristics of element flow and its spillover are important topics in economics, sociology, and geography, and significant to the promotion of the coordinated development of urban agglomerations. To study element flow in the Lanxi urban agglomeration and its effect to economic development, the spatial network characteristics and economic spillover effect were studied using the methods of spatial network analysis, the spatial Durbin model, and spatial effect decomposition. The results showed that (1) the scale of element flow in the Lanxi urban agglomeration is in an unbalanced distribution state, the scale of element flow in Lanzhou and Xining is higher than that in surrounding cities, and the connection between surrounding cities is also higher than that between other cities; (2) the network structure of element flow in the Lanxi urban agglomeration is relatively intensive, with Lanzhou and Xining as the center of element concentration, which indicates an obvious ‘center periphery’ structure, and gradually spreads from the core area to the surrounding areas; and (3) the element concentration level of the Lanxi urban agglomeration has a significant positive spillover effect, which plays a significant role in driving the development of surrounding cities. Other factors, such as the social consumption level, have significant direct effects, whereas the industrial structure and residents’ income have significant direct and spillover effects, and are the main factors that affect the coordinated development of the regional economy.

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Section: Introductionmentioning

confidence: 99%

Spatial network characteristics and economic effects of element flow in the Lanxi urban agglomeration

Zhao,

Yang,

Chang

2024

PLoS ONE

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“…There are also a few other approaches-however, they are usually based on socio-economic relations, are selective territorially, consider major cities only, refer to a relatively short time span and are not anchored in history. Dziecielski et al (2021) [15] offer a good review of those studies, from Christaller's Central Place Theory and New Economic Geography (NEG), through Tinbergen-Bos and Tellier models to Systemic Economic Geography (SEG) focusing on neo-Newtonian approach to see "spheres of influence" and gravity forces of 14 European urban agglomerations by using data on accessibility, cultural interactions, economy, environment, liveability and R&D. Ioannides and Overman (2004) [16] try (and fail) to explain urban system with city location and their socio-economic interactions. Most modern view of geographic space as a living structure explains human activity (like Tweeting) in an interesting way with a topological representation of the built environment and big data using the case of millions of street nodes of the United Kingdom [17].…”

Section: Introductionmentioning

confidence: 99%

Natural spatial pattern—When mutual socio-geo distances between cities follow Benford’s law

Kopczewska

Kopczewski²

2022

PLoS ONE

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Benford’s law states that the first digits of numbers in any natural dataset appear with defined frequencies. Pioneering, we use Benford distribution to analyse the geo-location of cities and their population in the majority of countries. We use distances in three dimensions: 1D between the population values, 2D between the cities, based on geo-coordinates of location, 3D between cities’ location and population, which jointly reflects separation and mass of urban locations. We get four main findings. Firstly, we empirically show that mutual 3D socio-geo distances between cities and populations in most countries conform with Benford’s law, and thus the urban geo-locations have natural spatial distribution. Secondly, we show empirically that the population of cities within countries follows the composition of gamma (1,1) distributions and that 1D distance between populations also conforms to Benford’s law. Thirdly, we pioneer in replicating spatial natural distribution–we discover in simulation that a mixture of three pure point-patterns: clustered, ordered and random in proportions 15:3:2 makes the 2D spatial distribution Benford-like. Complex 3D Benford-like patterns can be built upon 2D (spatial) Benford distribution and gamma (1,1) distribution of cities’ sizes. This finding enables generating 2D and 3D Benford distributions, which may replicate well the urban settlement. Fourth, we use historical settlement analysis to claim that the geo-location of cities and inhabitants worldwide followed the evolutionary process, resulting in natural Benford-like spatial distribution and to justify our statistical findings. Those results are very novel. This study develops new spatial distribution to simulate natural locations. It shows that evolutionary settlement patterns resulted in the natural location of cities, and historical distortions in urbanisation, even if persistent till now, are being evolutionary corrected.

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GDP spatial differentiation in the perspective of urban functional zones

Li,

Deng,

Liu

et al. 2024

Cities

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Basins of attraction around large cities - A study of urban interaction spaces in Europe

Cited by 10 publications

References 41 publications

Spatial network characteristics and economic effects of element flow in the Lanxi urban agglomeration

Spatial network characteristics and economic effects of element flow in the Lanxi urban agglomeration

Natural spatial pattern—When mutual socio-geo distances between cities follow Benford’s law

GDP spatial differentiation in the perspective of urban functional zones

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