粤港澳大湾区国土-产业-人口分布预测（2030年）

城市群作为典型的复杂巨系统，其国土、产业、人口、交通等要素呈现出共同演化、协同发展的特征。为支撑建立常态化的城市群发展态势数据汇集-模拟-预测机制，项目组开展城市群多要素之间的相互作用模型及其作用网络的研究，构建了集成元胞自动机和多智能体模型的“国土-产业-人口”综合模拟框架，发展了面向多利益主体的城市群协同优化方法。最终形成2030年粤港澳大湾区国土-产业-人口分布预测数据，可为粤港澳大湾区的广深第二高铁、环湾区通道、生态保护区、垃圾填埋场等决策场景提供数据依据。

Urban agglomerations, as typical complex megasystems, exhibit co-evolution and collaborative development characteristics among their elements including land resources, industry, population, and transportation. To support the establishment of a normalized data collection-simulation-prediction mechanism for the development trends of urban agglomerations, the research team conducted studies on the interaction models and their action networks among multiple elements of urban agglomerations, constructed a comprehensive "land-industry-population" simulation framework integrating cellular automata and multi-agent models, and developed a multi-stakeholder-oriented collaborative optimization method for urban agglomerations. Finally, prediction data on the land-industry-population distribution in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) by 2030 was generated, which can provide data support for decision-making scenarios such as the Guangzhou-Shenzhen Second High-Speed Railway, circum-Bay Area corridors, ecological protection zones, and landfills in the GBA.

搜集汇总

背景与挑战

背景概述

该数据集是深圳大学基于国家重点研发计划项目开发的2030年粤港澳大湾区国土、产业和人口分布预测数据，采用元胞自动机和多智能体模型构建综合模拟框架，旨在分析城市群多要素协同演化规律。其核心价值在于为粤港澳大湾区的重大基础设施规划和生态保护等决策提供科学数据支持，数据量较小（137.34KB），适用于地图制图技术领域的研究与应用。