The functional structure evolution of Shandong Peninsula Urban Agglomeration

Data-Driven Analysis of Traffic Volume and Hub City Evolution of Cities in the Guangdong-Hong Kong-Macao Greater Bay Area

“…With the expansion of city scope and the increasing number of cities, there has been a rapid development in the study of urban hierarchical patterns and spatial structures. The K-means clustering algorithm [44], Gravity Model [45], and central place theory [46] are used to analyze cities' functional structures and the hierarchy evolution of urban agglomerations. Remote sensing data and nighttime light data are also applied to explore the dynamics of polycentric urban development [47], [48].…”

“…Although previous studies are thorough and intensive in analyzing city centrality and spatial structures, some problems remain to be addressed. Due to the lack of long term and full sample traffic data [36], [42], most previous studies were carried out using the method of comparison [50] or theoretical analyses [51]; other studies rely on a sample of open source or macro data (e.g., such as road network structure data [29] and social and economic indicators data [44]), which may lead to one-sided and subjective results in the analysis. Additionally, the evaluation system cannot comprehensively consider more indexes (e.g., agglomeration and distribution function and urban hierarchical pattern), and the two indexes, i.e., the node degree and traffic volume, reflecting district accessibility and district centrality are not considered simultaneously.…”