Spatial structure of urban agglomeration under the impact of high-speed railway construction: Based on the social network analysis

The Impact of High-Speed Railway on China’s Regional Economic Growth Based on the Perspective of Regional Heterogeneity of Quality of Place

“…The population was considered as the proxy for the urban agglomeration, and it was found that HSR development tends to have a significant link with the population. HSR tends to play an essential role in urban agglomeration [38]. The study indicated that HSR construction tends to increase the average network density of urban agglomeration, which positively promotes urban agglomeration's spatial connection density.…”

“…Some researchers have given a broader perspective on transportation's economic consequences, including the coordination and agglomeration benefits of trade benefits and technology diffusion [37]. Urban agglomeration tends to increase its economic growth [38]. Researchers have also investigated the influence of urban agglomeration on economic growth [39].…”

Spatial Network Structures of Urban Agglomeration Based on the Improved Gravity Model: A Case Study in China’s Two Urban Agglomerations

“…e model uses multiple indicators that reflect the central functions of the city, including the economy, the population, investments, and consumption, to calculate a central function intensity index and thereby reflect the comprehensive strength and external influence of the city. Based on previous studies in [29][30][31][32][37][38][39], this paper establishes a city center function evaluation index system with 38 indicators (as shown in Table 1) considering the aspects of population size, economic aggregation, and residents' quality of life. Using principal components analysis, six principal components are extracted, and the principal component scores of each index are substituted into the city center function intensity model (as shown in formula (2)) to obtain the center function intensity index of each city to more accurately and comprehensively characterize that city's quality.where K i is the central functional intensity index of city i; and K Inf i are the central function indexes of population, ecology, society, economy, transportation, and infrastructure of city i, respectively.…”

“…e social network analysis method uses a quantitative analysis of various network characteristic indicators, such as weighted degree, overall network density, and community exploration, to reveal the relationship between nodes and the characteristics of the entire network. In recent years, this method has also been widely used by scholars to study the spatial structure of urban agglomerations [32]. UCINET and Gephi are commonly used social network analysis software; this paper uses UCINET to calculate the network density and Gephi to calculate weighted degrees and community structures.…”

“…e innovation of this paper is mainly reflected in the following three aspects: (1) most previous studies have improved urban spatial gravity models from a single aspect of city quality, city distance, or gravitational coefficients, and most constructed gravity models are not directional. Traditional urban spatial gravity models use indicators such as population and GDP to characterize urban quality [32], but, with the progress of society and people's demands from urban life, the quality of cities is reflected not only in their economy but also in their urban environment, residents' lives, and social security. erefore, this paper constructs a city center function evaluation index system, uses principal component analysis to extract the six main components, and uses a city center function intensity model to calculate the city quality to fully reflect the city quality level.…”