Ecosystem services are the beneficial goods and services that ecosystems provide to humans. Urbanization is an important feature of human social development. While promoting economic and social development, it also brings about land degradation, resource depletion, environmental pollution and other problems, intensifying the transformation of natural ecosystems into semi-natural and artificial ecosystems, ultimately leading to the loss of ecosystem service functions and declining value. The study of the impact of urbanization on the value of ecosystem services is of critical importance for the conservation of ecosystems and sustainable development. This study examined the spatio-temporal patterns of urbanization’s impacts on ecosystem service value in the Yellow River Basin from the perspective of spatio-temporal heterogeneity. Findings: (1) Both the ecosystem service value (ESV) and urbanization level (UL) in the Yellow River Basin were on the rise on the whole, but they were significantly spatially negatively correlated and mainly characterized by the high–low spatial clustering of “low ESV–high UL” and “high ESV–low UL”. This negative correlation was gradually weakened with the transformation of the urbanization development mode and ecological restoration projects in the Yellow River Basin. (2) The impacts of the five urbanization subsystems on the value of ecosystem services were diverse. Landscape urbanization had a negative impact on the value of ecosystem services in all regions; economic urbanization and innovation urbanization changed from having a negative to a positive impact; and demographic urbanization and social urbanization had both a positive and a negative impact. (3) To promote the coordinated development of ecological environmental protection and urbanization in the YRB, this paper proposes to change the urbanization development model, implement ecological restoration by zoning, and formulate classified development plans. This study compensates for the shortcomings of current studies that ignore the different impacts of urbanization subsystems on ecosystem service value and lack sufficient consideration of the spatio-temporal heterogeneity characteristics of urbanization and ESVs, enriches the theoretical understanding of the interrelationships between natural and human systems in basin areas, and provides a scientific basis for the rational formulation of urban planning and ecological protection policies in the region, which is of great theoretical and practical significance.

Rapid urbanization has significantly impacted the structure of ecosystem services, accelerating the pressure on natural resources and ecological space. The clarification of the interdependent relationship between new-type urbanization (NTU) and ecosystem services (ESs) has contributed to ecological conservation and high-quality co-ordinated development, in contrast to traditional urbanization. This study focuses on the counties in Shaanxi Province as the research subjects, develops a new urbanization evaluation model for county-level areas, and utilizes Section data at the county level in Shaanxi Province for the years 2000, 2010, and 2020. (To analyze land cover change, we selected four data periods: 1990, 2000, 2010, and 2020, to capture significant spatial trends.) This study employed the comparative analysis method and the Coupled Co-ordination Model (CCDM) to assess the correlation between traditional urbanization and the value of ecosystem services, as well as between new urbanization and the value of ecosystem services. Additionally, the study utilizes the ArcGIS platform to analyze the spatiotemporal characteristics of the two types of urbanization evolution and the spatiotemporal relationship between urbanization and ecosystem co-ordination. The study findings suggest the following: (1) a “low-level coordination” coupling relationship exists between traditional and new urbanization in county-level areas of Shaanxi Province and the value of ecosystem services. (2) The coupling co-ordination of traditional and new urbanization with the value of ecosystem services shows a spread of low-value areas in space, leading to a pattern of low disorder assimilation and significant spatial aggregation. (3) From 2000 to 2020, traditional and new urbanization in various counties of Shaanxi Province consistently exhibited a steady increase, with spatial patterns of “Guanzhong region > Northern Shaanxi region > Southern Shaanxi region”. Both types of urbanization have displayed a “low-level coupling” with ecosystem services. (4) During the same period, the new urbanization index in different counties of Shaanxi Province showed a steady increase, demonstrating an advantage of Guanzhong. Its impact on the ecosystem was significantly weaker than that of traditional urbanization. (5) The development of new urbanization can be more effectively co-ordinated with ecosystem services compared to traditional urbanization. However, currently, its co-ordination with the ecosystem service system is relatively poor. The study’s results suggest that enhancing new urbanization from multiple dimensions is beneficial for promoting the integrated coherence between urbanization development and ecosystem service systems.

Assessing city–industry integration levels is a critical diagnostic approach for promoting sustainable urban development. However, existing evaluation frameworks are mainly based on overlaying the level of development of individual systems and rely on statistical data, lacking analysis of spatial attributes. This study addresses these gaps by constructing an “industry–city–population” (I–C–P) evaluation system based on the interaction mechanisms among industry (I), city (C), and population (P), viewed through the lens of spatial correlation. Focusing on Xixian New Area and using 2022 sectional data, the study applies the CRITIC method to calculate the overall level of city–industry integration and the interaction levels across different dimensions in the district, and the Entropy Method (EM) is used to validate the results. The findings indicate the following: (1) The overall level of city–industry integration in Xixian New Area remains relatively low, with Fengdong and Fengxi significantly outperforming the other three new cities. (2) The interactions between “P–I” and “C–P” exhibit lower levels compared to the “I–C” interactions. Additionally, the spatial characteristics of the dimensional levels reveal both variability and consistency. The integrated indicator system, incorporating both spatial big data and traditional statistical data, significantly expands the data sources and dimensions for evaluating city–industry integration, which helps to provide a reference for the assessment of the potential for high-quality sustainable development in the new district and other regions.