Decision-oriented Intelligence Service on the Diagnosis and Treatment of the “Urban Disease”

  • Li Gang ,
  • Li Yang
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  • Center for the Studies of Information Resources of Wuhan University, Wuhan 430072

Received date: 2016-06-06

  Revised date: 2016-07-02

  Online published: 2016-07-20

Abstract

[Purpose/significance] The construction of smart cities and the implementation of the big data strategy provide opportunities for the concept innovation of the diagnosis and treatment of the "urban disease". Under this background, the supporting function of the intelligence service in the decision-making processes for the diagnosis and treatment of the "urban disease" is becoming increasingly evident. Exploring the decision-oriented intelligence service on the diagnosis and treatment of the "urban disease" can give a comprehensive "plus diagnosis" of its problem to help city managers quickly find out the cause of issues and improve the social governance efficiency.[Method/process] Based on summing up the interrelated theory and research status of the "urban disease", this paper summarized the driving force of the intelligence service on the diagnosis and treatment of the "urban disease" at three levels:the macroscopic environment (the information environment), the medium resources (the big data strategy) and the users' requirements (decision-making requirements). Then, this paper discussed the organization structure and the operation mechanism of the intelligence service system, and pointed out that the intelligence service on the diagnosis and treatment of the "urban disease" was an engineering process which was interlinked, dynamic and cyclically progressive.[Result/conclusion] With the intervention of the intelligence service, the process of the diagnosis and treatment of the "urban disease" becomes more sophisticated, systematic and coordinated. Besides, it provides the valuable government decision-making reference for urban management. According to the engineering thinking of the intelligence service, the diagnosis and treatment of the "urban disease" can make a change from the passive "coping" to the initiative "service".

Cite this article

Li Gang , Li Yang . Decision-oriented Intelligence Service on the Diagnosis and Treatment of the “Urban Disease”[J]. Library and Information Service, 2016 , 60(14) : 121 -127 . DOI: 10.13266/j.issn.0252-3116.2016.14.015

References

[1] 覃剑.我国城市病问题研究:源起、现状与展望[J].现代城市研究,2012(5):58-64.
[2] 李陈."城市病"研究述评和展望[J].西北人口,2013,34(5):20-24, 28.
[3] 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.
[4] 吴晨生,李辉,付宏,等.情报服务迈向3.0时代[J].情报理论与实践,2015,38(9):1-7.
[5] 王世伟.城市社科情报服务的整合与提升[J].图书情报工作,2011,55(18):5-9.
[6] KITCHIN R. The real-time city? Big data and smart urbanism[J]. GeoJournal, 2014, 79(1):1-14.
[7] 范渊.智慧城市与信息安全[M].北京:电子工业出版社,2014:28-30.
[8] 方维慰.论信息化与"城市病"的治理[J].科学对社会的影响,2004(1):32-36.
[9] 治疗城市病大数据有话要说[EB/OL].[2016-05-10].http://www.ccmedu.com/bbs37_239301.html.
[10] 曾大军,曹志冬.突发事件态势感知与决策支持的大数据解决方案[J].中国应急管理,2013(11):15-23.
[11] 潘安敏,刘慧芳.关于"城市医学论"的构想[J].城市,2008(7):42-45.
[12] 沈固朝.智库热中的一点冷思考[J].智库理论与实践,2016,1(2):137-139.
[13] 施雯.大数据时代纽约政府如何以决策情报助力公共治理[C]//中国竞争情报事业20年暨中国竞争情报年会,北京:中国科学技术情报学会竞争情报分会,2014:263-269.
[14] 李纲,李阳.智慧城市应急决策情报体系构建研究[J].中国图书馆学报,2016,42(3):39-54.
[15] 中共中央国务院关于进一步加强城市规划建设管理工作的若干意见[EB/OL].[2016-02-21]. http://news.xinhuanet.com/politics/2016-02/21/c_1118109546.htm.
[16] BATTY M. Big data, smart cities and city planning[J]. Dialogues in human geography, 2013,3(3):274-279.
[17] 王飞跃.情报5.0:平行时代的平行情报体系[J].情报学报,2015,34(6):563-574.
[18] 潘云涛,田瑞强.工程化视角下的情报服务——国外情报工程实践的典型案例研究[J].情报学报,2014, 33(12):1242-1254.

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