摘 要
随着城市化进程的加速，城市治理面临复杂性与多样性的挑战，传统管理模式难以满足精细化管理需求，而大数据技术为提升城市治理效能提供了新路径本研究以城市精细化管理为背景，旨在探讨大数据在城市管理中的应用及其对决策支持的作用通过文献分析、案例研究和实证分析相结合的方法，系统梳理了大数据技术在交通管理、环境监测、公共服务等领域的具体应用，并构建了基于大数据的城市精细化管理决策支持框架研究发现，大数据技术能够显著提高城市管理的精准性和效率，特别是在实时监控、预测预警和资源优化配置方面此外，本研究提出了一种融合多源数据的分析模型，有效提升了决策的科学性和智能化水平主要创新点在于将大数据技术与城市治理场景深度融合，提出了具有普适性的决策支持方案，为推动智慧城市建设提供了理论依据和技术支撑研究成果可为政府管理部门制定政策和优化资源配置提供重要参考关键词：城市精细化管理; 大数据技术; 决策支持框架
Abstract
With the acceleration of urbanization, urban governance is confronted with challenges of complexity and diversity, and traditional management models are increasingly unable to meet the demands of refined management. In this context, big data technology offers a new approach to enhancing the efficiency of urban governance. This study, set against the backdrop of urban refined management, aims to explore the application of big data in urban management and its role in decision support. By integrating literature analysis, case studies, and empirical analysis, the research systematically reviews the specific applications of big data technology in areas such as traffic management, environmental monitoring, and public services, while constructing a decision-support fr amework for urban refined management based on big data. The findings indicate that big data technology can significantly improve the accuracy and efficiency of urban management, particularly in real-time monitoring, predictive warning, and resource optimization. Furthermore, this study proposes an analytical model that integrates multi-source data, effectively enhancing the scientific rigor and intelligence of decision-making. The primary innovation lies in the deep integration of big data technology with urban governance scenarios, proposing a universally applicable decision-support solution that provides theoretical foundations and technical support for advancing smart city construction. The research outcomes can serve as critical references for government departments in formulating policies and optimizing resource allocation.
Key words:Urban Management; Big Data Technology; Decision Support fr amework
中文摘要 I
英文摘要 II
引 言 1
第1章、城市精细化管理的背景与需求 2
1.1、城市管理面临的主要挑战 2
1.2、精细化管理的核心内涵 2
1.3、大数据在城市管理中的意义 3
第2章、大数据技术在城市精细化管理中的应用 4
2.1、数据采集与处理技术分析 4
2.2、智能化监测系统的构建 4
2.3、典型应用场景与案例研究 4
第3章、基于大数据的城市决策支持体系构建 6
3.1、决策支持系统的设计原则 6
3.2、数据驱动的决策模型开发 6
3.3、实时决策支持的应用实践 7
第4章、城市精细化管理中大数据应用的优化路径 8
4.1、数据质量提升的关键策略 8
4.2、技术与管理的协同机制 8
4.3、未来发展方向与潜在挑战 9
结 论 10
参考文献 11
