Evaluation, simulation, and optimization of land use spatial patterns for high-quality development: A case study of Zhengzhou city, China

Abstract

High-intensity land use and resource overloaded-induced regional land use spatial pattern (LUSP) are essential and challenging for high-quality development. The empirical studies have shown that a scientific land uses spatial layout, and the supporting system should be based on a historical perspective and require better considering the double influence between the current characteristics and future dynamics. This study proposes a comprehensive framework that integrates the resource environment carrying capacity (RECC) and land use change (LUC) to investigate strategies for optimizing the spatial pattern of land use for high-quality development. China's Zhengzhou city was the subject of a case study whose datasets include remote sensing, spatial monitoring, statistics, and open sources. Three significant results emerged from the analysis: (1) The RECC has significant spatial differentiation but does not follow a specific spatial law, and regions with relatively perfect ecosystems may not necessarily have better RECC. (2) From 2020 to 2030, the construction land and farmland will fluctuate wildly, with the former increasing by 346.21 km 2 and the latter decreasing by 295.98 km 2 . (3) The study area is divided into five zones, including resource conservation, ecological carrying, living core, suitable construction, and grain supply zones, and each one has its LUSP optimization orientation. This uneven distribution of RECC reflects functional defects in the development and utilization of LUSP. In addition, the increase in construction land and the sharp decline of farmland pose potential threats to the sustainable development of the study area. Hence, these two elements cannot be ignored in the future high-quality development process. The findings indicate that the LUSP optimization based on dual dimensions of RECC and LUC is more realistic than a single-dimension solution, exhibiting the LUSP optimization's effectiveness and applicability.

Evaluation of the Sustainable Use of Land Resources in the Cities along the Jiangsu Section of the Beijing–Hangzhou Grand Canal

“…Li and Fan analyzed sustainable land use with the aid of the grey correlation model [39]. Yuan et al conducted research on the sustainable status of land resource use based on an improved entropy weight method [40], on which basis later scholars have conducted empirical studies on different regions [22,41]. Zhao et al combined the entropy weight method with the grey correlation model to evaluate land use sustainability in Henan Province, China; as shown by this literature review, PSR, AHP, and the entropy weight method are relatively mature methods for applied analysis.…”

Analysis of Land Use Change and Its Economic and Ecological Value under the Optimal Scenario and Green Development Advancement Policy: A Case Study of Hechi, China

“…Meanwhile, Peng et al [12] forecasted the future pattern of changes in natural wetlands under the optimal scenario. Zhu et al [13] combined resource environmental carrying capacity (RECC) with land use change (LUC) to study and optimize the spatial pattern of land use in Zhengzhou from 2000 to 2030. However, many prior studies have failed to comprehensively explore optimal future scenarios and have been somewhat deficient in identifying the potential drivers of land use change [14].…”

Understanding land for high-quality development

“…Hu et al (2023) constructed a sensing-based ecological index evaluation model including humidity, greenness, dryness, and heat; discussed land-use changes and the eco-environmental quality response in Wuhan from 2000 to 2018; and provided suggestions for the coordinated development of land use and eco-environment in rapidly urbanized areas. Zhu et al (2023) proposed a comprehensive framework of the resource environment carrying capacity (RECC) and land-use change (LUC) and took Zhengzhou as an example to carry out empirical research to provide strategies for optimizing land-use spatial patterns to achieve high-quality development. Yin et al (2023) discussed the land pollution caused by human economic activities.…”