面向交叉型交通专业人才培养的《地理信息系统及应用》课程架构研究

Research on the Curriculum Framework of “Geographic Information System and Applications” for Cultivating Interdisciplinary Transportation Professionals

摘要: 地理信息技术作为智能交通的核心支撑，在交通系统感知、分析与优化中发挥关键作用。面对新技术产业快速发展带来的交通人才供需错位及多学科融合不足等挑战，本文提出面向交通专业的《地理信息系统及应用》课程改革方案。改革以“新技术融合 + 智能应用”为导向，构建“需求挖掘–课程重构–评估优化”闭环培养体系：首先通过政企调研精准识别用人单位对3S技术、AI、大数据等技能的复合型需求；进而重构课程体系——理论教学以综合应用案例串联地理信息、遥感、时空分析等交叉知识，实践环节搭建融合高精定位、交通仿真等技术的实训平台，设置基础操作与综合项目两阶段递进训练；最终通过校企联合实习评估机制，持续跟踪人才技能匹配度并动态优化课程。该方案旨在培养掌握智能交通系统建设与空间分析能力的复合型人才，为智慧交通发展提供人才支撑。

Abstract: Geographic information technology serves as a core pillar of intelligent transportation, playing a crucial role in the perception, analysis, and optimization of transportation systems. Facing challenges such as the mismatch between supply and demand for transportation talent and insufficient interdisciplinary integration brought about by the rapid development of new technology industries, this paper proposes a curriculum reform plan for the Geographic Information System and Applications course targeting transportation majors. Guided by “New Technology Integration + Smart Application,” the reform constructs a “Demand Mining-Curriculum Reconstruction-Evaluation Optimization” closed-loop training system. Firstly, it conducts government-enterprise research to precisely identify the industry’s composite demand for skills such as 3S technologies (GIS, RS, GNSS), AI, and big data. Subsequently, the curriculum system is restructured: theoretical teaching employs comprehensive application cases to integrate cross-disciplinary knowledge like geographic information, remote sensing, and spatiotemporal analysis, while the practical component establishes a training platform integrating technologies like high-precision positioning and traffic simulation, featuring a two-stage progressive training model of foundational operations and comprehensive projects. Finally, through a university-industry joint internship evaluation mechanism, the alignment of talent skills is continuously tracked, enabling dynamic curriculum optimization. This scheme aims to cultivate interdisciplinary talent proficient in building intelligent transportation systems and spatial analysis capabilities, providing essential talent support for the development of smart transportation.