Spatial suitability and multi-scenarios for land use: Simulation and policy insights from the production-living-ecological perspective

背景(考古学) 空间语境意识 生产(经济) 计算机科学 系统动力学 透视图(图形) 环境资源管理 功能(生物学) 空间规划 生态学 环境科学 地理 环境规划 人工智能 生物 进化生物学 宏观经济学 经济 考古
作者
Zhang Zuo,Jiaming Li
出处
期刊:Land Use Policy [Elsevier]
卷期号:119: 106219-106219 被引量:75
标识
DOI:10.1016/j.landusepol.2022.106219
摘要

In the context of the current reorganization of China's territorial spatial planning system, this paper focuses on supporting scientific land use decision-making through multiple policy scenarios and dynamic simulations. Based on the dominant land use function orientation from the production-living-ecological perspective, this paper incorporates the spatial suitability evaluation of a given time-point into a dynamic-driven simulation and dynamic monitoring framework. In this framework, synthetically utilizing GIS (geographic information system) and SD (system dynamics) models with research cases achieve the production-living-ecological spatial suitability evaluation and establishes a system dynamics model that tightly grasps its formation mechanism. The results show that, in terms of multi-scenario simulations, different evolutionary characteristics of the scale, suitability and dynamic monitoring indicators of the production-living-ecological space are observed. In conclusion, what is provided is a complete and effective spatial suitability evaluation framework, in which the production-living-ecological perspective is consistent with the functional orientation. In conclusion, what is offered is an intact and valid framework for spatial suitability evaluation, where the viewpoint of production-living-ecological functions complied with the function orientation. Meanwhile, the combination of a suitability evaluation and scenario simulation was not only favorable in terms of grasping the utilizing actuality of spatial suitability level but also assisted in mastering the evolution trends and monitoring the spatial bearing capacity. Further, the united utilization of the GIS and SD models also provided effectual technical support. Finally, given the study’s results, policy insights are proposed, covering the optimization and scientific decision-making concerning development patterns in production-living-ecological space.
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