Study on the Coupling Coordination of Urban Infrastructure and Population in the Perspective of Urban Integration

Abstract

The continuous development of urbanization and the integration of urban agglomerations are accompanied by the outbreak of the contradiction between urban infrastructure and population. Therefore, the study of the coupling coordination relationship between urban infrastructure and population is of great significance for the benign development of cities and the in-depth integration of urban agglomerations. In order to measure the coupling coordination between urban infrastructure and population accurately and objectively, we construct the evaluation index system of urban infrastructure supply level and population development level based on biblio-metrics method, determine index weights using G1 and standard variance method, then construct a coupled coordination model from four aspects: population, infrastructure, population and infrastructure, and relative lag. Next, a case study is conducted subsequently using the Qingdao, Yantai, and Weihai in China as examples. The results show that the coupling relationship between infrastructure and population will synergistically affect urban development, and has obvious temporal characteristics. Qingdao, Yantai and Weihai have initially built the prototype of metropolitan area, changing from population development lagging city to infrastructure lagging city. The research results are of great significance to the further research of urban agglomeration integration, can provide necessary reference data for the planning and construction of Jiaodong Economic Circle, help to quantify the relevant problems in the integration process of other urban areas.INDEX TERMS urban infrastructure; urban population; coupling theory; coupling coordination degree

Coupling Coordination and Dynamic Response Analysis of New-Type Urbanization, Urban Infrastructure and Urban Environment—A Case Study of the Jiaodong Economic Circle

“…Previous studies have successfully applied the MADM method, which has made significant contributions to the evaluation models of new-type urbanization, urban infrastructure and urban environmental level, objective methods such as variance weighting method [ 26 ], the fuzzy best–worst method [ 27 ], the entropy weight method [ 12 ], principal component analysis (PCA) [ 25 ] and subjective methods such as G1 [ 26 ]. Some studies have also used machine learning algorithms such as random forest for weight calculations and system-level measurements.…”

“…Among them, the CCDM uses the coupling degree to elucidate the interrelationships among several subsystems, and further uses the CCD to comprehensively evaluate the whole system. Because the model is simple to calculate and the results are intuitive, it has been widely used in empirical studies of the coupling development levels among many systems at different scales and in different regions, such as the environment [ 29 ], economy [ 30 ], urbanization [ 15 ], transportation [ 31 ], and population [ 26 ]. As far as the intra-city system evaluation is concerned, CCDM is the main method for solving the NTU-UI-UE evaluation, and can clearly illustrate the interactions between the integrated evaluation levels of NTU, UI and UE subsystems.…”

Theoretical framework and research prospect of the impact of China’s digital economic development on population

“…The coverage and accessibility of urban infrastructure services have an important impact on spatial migration between different regions (Roldán et al, 2017). Public service facilities also show a significant positive correlation with population (Shi et al, 2020); this correlation is mainly present in the influence of transportation, environment, energy, and other infrastructure on a population scale and employment structure (Lu et al, 2021). Transportation facilities determine urban residents' commuting capacity; environmental facilities and energy facilities determine the urban population carrying capacity (Kasu & Chi, 2018); medical and education facilities have a strong attraction for the older and school-age population (Buckeridge et al, 2012).…”

Study on coupling coordination and collaborative optimization system of water-energy-grain

“…In general, the emergence of synergetics has brought a new direction to the development of our research system and provided us with new ideas to deal with the system problems of various disciplines (Qi et al, 2022). Lu et al (2021) took Dalian City as an empirical research object to evaluate its intensive use of land resources, and applied synergetics theory to select 30 order parameter indicators to build an intensive use evaluation index system on the basis of expert consultation method and literature method. Lv et al (2020) first constructed the state parameters of the subsystem and carried out gray correlation analysis with the entropy of the land use structure.…”