City size based scaling of the urban internal nodes layout

Abstract

The size of a city is not only essential for depicting the scale of the urban system, but also crucial to support the prosperity, order, and high-speed developments. However, its relation to the underlying urban structure has not been empirically investigated in detail. To examine the impact of city size on the city structure and quantify structural features, in this study, a statistical analysis was performed based on network science and an interdisciplinary theoretical system. To obtain the statistical law of internal node layout, the urban system was regarded as a complete graph weighted by the Euclidean distance. The relationship between the urban internal nodes layout (points of interest data, Weibo check-in data, and central point of road intersection data) and the city size was established. The results confirmed the existence of statistical laws in the layout of urban spatial elements, and explored the relationship between the changes in urban node network structure and inequality. This study provided a new perspective of urban structure to understand the complexity of the city, and suggested an approach to adjust this structure to narrow down the gap between the urban and rural areas.

Assessing Regional Development Balance Based on Zipf’s Law: The Case of Chinese Urban Agglomerations

“…The suburbs of Beijing, Guangzhou, and Chongqing are all located in mountainous and hilly areas (Figure 10a,b,e-h), which are restricted by topography, and urban agglomerations show a discrete distribution with poor GAIA recognition; recognition is also poorer in areas where land and water meet in the city of Shanghai (Figure 10c,d), and more urban agglomerations are not identified. Cities themselves are self-similar, and their sizes and outcomes follow many laws [7], with a macro-decentralized and micro-concentrated urban structure having greater development potential [55]. Therefore, the characteristics of cities in different directions, both macro and micro, can be mined on the basis of these laws.…”

“…Therefore, the characteristics of cities in different directions, both macro and micro, can be mined on the basis of these laws. Using the population data of Chinese prefecture-level cities from 1990 to 2011, Miao summarized the characteristics Cities themselves are self-similar, and their sizes and outcomes follow many laws [7], with a macro-decentralized and micro-concentrated urban structure having greater development potential [55]. Therefore, the characteristics of cities in different directions, both macro and micro, can be mined on the basis of these laws.…”

Road networks structure analysis: A preliminary network science-based approach

“…Feng et al [14], used network science to conduct a statistical analysis to assess the city's size's effects on its structure and quantify structural characteristics. The findings confirmed statistical laws in organising urban spatial components and looked into the relationship between topological changes in urban networks.…”

Optimal Size of Türkiye’s Growing City: Tekirdağ

“…The size of a city is essential not only to represent the scale of the urban system, but also to support prosperity, order and rapid development (Feng et al, 2021). To remain sustainable, cities idea that individuals who make good use of these subsystems offered by cities achieve a high level of happiness.…”