Urban Spatial Analysis and Planning Applications Supported by GIS Technology
GIS 技术支持下城市空间分析与规划应用

摘要

城市空间具有多要素耦合、尺度差异和持续演化等特征，传统规划方法难以充分识别其空间关联。本 文采用文献归纳与技术流程分析方法，构建“多源数据集成—空间格局识别—作用机制解释—规划情景评估— 实施反馈”的GIS应用框架，分析其在城市扩张管控、用地布局、公共服务配置和交通组织中的作用。研究认为， GIS 能够提高规划分析的精度与可追溯性，但其应用仍受数据质量、尺度效应和模型解释能力制约。对此，应 加强空间数据治理、模型交叉验证和动态监测，推动城市规划由静态成果编制转向全过程空间决策。

Abstract

Urban space is characterized by multi-element coupling, scale differences, and continuous evolution, making it difficult for traditional planning methods to fully identify spatial relationships. Using literature review and technical process analysis, this paper constructs a GIS application framework of “multi-source data integration–spatial pattern identification–mechanism interpretation–planning scenario evaluation–implementation feedback,” and analyzes its role in urban expansion control, land-use layout, public service allocation, and transportation organization. The study suggests that GIS can improve the accuracy and traceability of planning analysis, but its application is still constrained by data quality, scale effects, and model interpretability. Therefore, spatial data governance, model cross-validation, and dynamic monitoring should be strengthened to promote the transformation of urban planning from static result compilation to whole-process spatial decision-making.