| 基于大数据的情报分析如何助力城市管理——纽约实践及启示 |
| |
| 引用本文： | 施雯.基于大数据的情报分析如何助力城市管理——纽约实践及启示[J].图书情报工作,2016,60(8):113-117. |
| |
| 作者姓名： | 施雯 |
| |
| 作者单位： | 上海图书馆上海科技情报研究所 上海 200031 |
| |
| 摘 要： | 目的/意义] 对基于大数据的情报分析应用于城市的科学决策和综合管理展开研究,探讨在新的形势下情报分析为政府部门带来的新的管理应用契机。方法/过程] 以纽约市政府构建的城市数据分析团队的实践为例,运用文献分析和实证研究的方法,剖析基于数据的政府情报系统的构建,以及在城市综合管理方面的应用。结果/结论] 基于数据的情报分析有助于提高公共管理决策的效率。据此,为我国城市的相关实践提出初步的建议,包括搭建城市公共数据的集聚平台、组建数据情报分析团队、构建数据预警指标以及创建特定的情报分析机制。
|
| 关 键 词： | 大数据 情报 政府 决策 |
| 收稿时间： | 2016-02-15 |
Intelligence Analysis Based on Big Data to Improve Urban Management: The Case Study and Enlightenment of New York |
| |
| Shi Wen.Intelligence Analysis Based on Big Data to Improve Urban Management: The Case Study and Enlightenment of New York[J].Library and Information Service,2016,60(8):113-117. |
| |
| Authors: | Shi Wen |
| |
| Institution: | Shanghai Library(Shanghai Science and Technology Information Research Institute), Shanghai 200031 |
| |
| Abstract: | Purpose/significance] Intelligence analysis brings new opportunity for the development application of government department. This paper aims to study the intelligence analysis based on big data to improve city's decision-making and integration management.Method/process] Based on the methods of literature analysis and demonstration, this paper takes MODA, a urban data analysis group created by New York city government, as a practical example to discuss how to build up a government intelligence system based on big data and how to use the system in a city's comprehensive management.Result/conclusion] Such an intelligence system could improve the efficiency of public management. Based on above, some preliminary suggestions are proposed to Chinese city governments, including developing city's public data gathering platform, forming data intelligence analysis team, building data early warning indicators and creating a specific mechanism for intelligence analysis. |
| |
| Keywords: | big data intelligence government decision-making |
|
| 点击此处可从《图书情报工作》浏览原始摘要信息 |
| 点击此处可从《图书情报工作》下载免费的PDF全文 |
|
