Understanding the Characteristics and Realization Path of Urban Land Use Transition in the Bohai Economic Rim: An Analytical Framework of “Dominant–Recessive” Morphology Coupling

Abstract

Taking the Bohai Economic Rim as the research area and 44 prefecture-level cities as research objects, on the basis of deepening the connotation of urban land use morphology, we constructed a multi-dimensional indicator system for urban land use transition based on the dominant and recessive morphologies of land use. The patterns of change and transition type are described by single-morphology and comprehensive morphology indices, respectively, while a decoupling elastic coefficient model was used to analyze the coupling relationship and evolution process between the dominant and recessive morphologies of urban land use. The results showed the following: (1) From 2000 to 2020, the single-morphology and comprehensive morphology indices of urban land use in the Bohai Economic Rim both improved, to a certain extent. Overall, the transition types of dominant and recessive morphologies of urban land use showed a development trend, in which the degree of recessive morphology transition was higher than the degree of dominant morphology transition, and the spatial difference of its distribution pattern was obvious. (2) From 2000 to 2020, the type of coupling relationship between the dominant and recessive morphologies of urban land use in the Bohai Economic Rim experienced an evolution, from a single-morphology recession decoupling to a single-morphology leading positive hook. The whole region was in the benign development stage of close coupling, where the degree of transition showed the spatial characteristics of Beijing–Tianjin–Hebei > Liaodong Peninsula > Shandong Peninsula. (3) Differences in the economic levels and urbanization processes of different cities led to different paths, speeds, and degrees of urban land use transition, showing stable, volatile, and non-transition paths. The direct influence of different influencing factors, as well as their potential effects, drive the dominant and recessive morphologies of urban land use to grow, in terms of coupling and synergy, promoting the realization of urban land use transition.

A Comparative Analysis of the Interaction between Urban-Rural Construction Land Transition and Population Flow: Dominant and Recessive Perspectives

“…The URCLT is a systematic study about the dynamic evolution and allocation efficiency of urban-rural construction land from the perspective of land use transition, which is mainly divided into the transformation of dominant morphology and recessive morphology [23]. Studies on dominant morphology primarily focused on the spatial-temporal characteristics of the quantitative structure and spatial pattern [4,[24][25][26][27][28], as well as their driving mechanism [24][25][26][27][28] and ecological effects [2,[29][30][31].…”

Rural Development under Poverty Governance: The Relationship between Rural Income and Land Use Transformation in Yunnan Province

“…With rapid urbanization and industrialization, human social change and economic structural transformation have significantly influenced regional land use since the 20th century [3,4]. As an important branch of land use change [5], LUT has progressively become a hot spot and frontier of research [6,7]. Scholars such as Long [8,9], DeFries [10], and Lambin [11] have further enriched the connotation and theoretical basis of LUT with advancements in related research, including analytical methods and techniques [12,13], dynamic changes and driving mechanisms [14,15], resource and environmental effects [16,17], and their relationship with socio-economic development [18,19].…”

Research on the Spatiotemporal Evolution and Driving Mechanism of Coupling Coordinating Between Green Transition of Urban Land Use and Urban Land Use Efficiency: A Case Study of the Yangtze River Delta Region in China

“…Currently, within the academic community, the research on GTULU primarily revolves around its transitional morphologies , evaluation system (Ke et al 2021, Qu et al 2021), spatiotemporal patterns (Niu et al 2022), and driving mechanisms (Tian et al 2020a). Discussions on ULUE mainly focus on measurement methods (Chen et al 2022), spatiotemporal characteristics (Liu et al 2021b), and action mechanisms (Lu et al 2018, Tang & Chen 2022).…”