利用大数据挖掘和知识发现技术辅助智慧城市发展

doi:10.11959/j.issn.2096-0271.2016029

大数据 ›› 2016, Vol. 2 ›› Issue (3): 39-48.doi: 10.11959/j.issn.2096-0271.2016029

• 专题：大数据与智慧城市 • 上一篇下一篇

利用大数据挖掘和知识发现技术辅助智慧城市发展

陈聪¹,张国惠¹,马晓磊²,王印海³

¹ 美国新墨西哥大学土木工程系，美国新墨西哥州阿尔伯克基市 87106
² 北京航空航天大学交通科学与工程学院，北京 100191
³ 美国华盛顿大学土木和环境工程系，美国华盛顿州西雅图市 98105

出版日期:2016-05-20 发布日期:2017-03-08

Big data analysis and knowledge discovery for smart city development enhancement

Cong CHEN¹,Guohui ZHANG¹,Xiaolei MAXiaolei²,Yinhai WANGYinhai³

¹ Department of Civil Engineering,University of New Mexico,Albuquerque,New Mexico 87106,USA
² School of Transportation Science and Engineering,Beihang University,Beijing 100191,China
³ Department of Civil and Environmental Engineering,University of Washington,Seattle,Washington 98105,USA

Online:2016-05-20 Published:2017-03-08

摘要/Abstract

摘要：

互联网的广泛应用带来了信息时代的数据井喷，大数据成为当前时代的宝贵资源，而大数据分析也成为了新时代的重要课题。大数据分析可以提供更准确的分析结果，从而推动智慧城市系统的发展。总结了智慧城市和大数据的基本概念、发展历程和主要特点，提出了利用大数据挖掘技术辅助智慧城市的综合发展，旨在为当代智慧城市和大数据研究提供理论基础。

关键词: 智慧城市, 城市化, 大数据, 大数据分析, 科技发展

Abstract:

Big data have been valuable asset with the widespread internet availability,and big data analyses have gain increasing popularity among international researchers.Comparing to traditional data analysis,big data analyses are able to provide more accurate results to facilitate the development smart city system.The basic knowledge,historical development and features of smart city and big data concepts were summarized,in order to provide theoretical foundations for contemporary research in smart city and big data fields.

Key words: smart city, urbanism, big data, big data analysis, science and technology development

陈聪, 张国惠, 马晓磊, 王印海. 利用大数据挖掘和知识发现技术辅助智慧城市发展[J]. 大数据, 2016, 2(3): 39-48.

Cong CHEN, Guohui ZHANG, Xiaolei MAXiaolei, Yinhai WANGYinhai. Big data analysis and knowledge discovery for smart city development enhancement[J]. Big Data Research, 2016, 2(3): 39-48.

参考文献 27

[1]	FISHMAN T . Digital-age transportation:the future of urban mobility[R]. Texas State: Deloitte University Press, 2012.
[2]	HOLLANDS R G . Will the real smart city please stand up[J]. City, 2008,12(3):303-320.
[3]	NAM T , PARDO T . Smart city as urban innovation:focusing on management,policy,and context[C]// The 5th International Conference on Theory and Practice of Electronic Governance (ICEGOV2011),September 26-28,2011,Tallinn,Estonia. New York: ACM Press, 2011:185-194.
[4]	WOLFRAM M . Deconstructing smart cities:an intertextual reading of concepts and practices for integrated urban and ICT development [C]// Real Corp 2012 Tagungsband,May 14-16,2012,Schwechat,Austria[S.l.:s.n.], 2012:171-181.
[5]	GIFFINGER R , FERTNER C , KRAMAR H , et al. Smart cities:ranking of European medium-sized cities[M]. Vienna:Vienna University of Technology, 2007.
[6]	ANGELIDOU M . Smart cities:a conjuncture of four forces[J]. Cities, 2015,47:95-106.
[7]	BELLO-ORGAZ G , JUNG J J , CAMACHO D . Social big data:recent achievements and new challenges[J]. Information Fusion, 2016,28: 45-59.
[8]	AHMED K B , BOUHORMA M , AHMED M B . Age of big data and smart cities:privacy trade-off[J]. International Journal of Engineering Trends and Technology, 2014,16(6): 298-304.
[9]	HALL P . Cities of tomorrow:an intellectual history of urban planning and design in the twentieth century (4th edition)[M]. New Jersey:Wiley-Blackwell, 2014.
[10]	GOTTMANN J . Megalopolis or the urbanization of the northeastern seaboard[J]. Economic Geography, 1957,33(3):189-200.
[11]	AURIGI A . New technologies,same dilemmas:policy and design issues for the augmented city[J]. Journal of Urban Technology, 2006,13(3):5-28.
[12]	AURIGI A , GRAHAM S . Cyberspace and the city:the“virtual city”in Europe[M]. Massachusetts:Blackwell Publishing Ltd, 2000:489-502.
[13]	MARVIN S . Telecommunications and sustainable cities[J]. Urban Design International, 1998,3(4):195-199.
[14]	CRANG M , GRAHAM S . Sentient cities:ambient intelligence and the politics of urban space[J]. Information,Communication ＆ Society, 2007,10(6):789-817.
[15]	World Bank . Building knowledge economies:advanced strategies for development[M]. Washington D C:World Bank Institute Development Studies, 2007.
[16]	SAXENIAN A . The genesis of Silicon Valley[J]. Built Environment, 1978,9(1):7-17.
[17]	BOULTON A , BRUNN S , DEVRIENDT L . Cyberinfrastructures and“smart”world cities:physical,human,and soft infrastructures [M]// International handbook of globalization and world cities,Cheltenham:Edward Elgar Publishing, 2011: 584.
[18]	CHATZKEL J . Greater phoenix as a knowledge capital[J]. Journal of Knowledge Management, 2004,8(5):61-72.
[19]	DVIR R . Innovation engines for knowledge cities:an innovation ecology perspective[J]. Journal of Knowledge Management, 2004:8(5):16-27.
[20]	ERGAZAKIS K , METAXIOTIS K , PSARRAS J . Towards knowledge cities:conceptual analysis and success stories[J]. Journal of Knowledge Management, 2004,8(5): 5-15.
[21]	MARTINEZ S D . A comparative framework for knowledge cities[M]// Knowledge cities:approaches,experiences,and perspectives[S.l.:s.n.], 2006:17-30.
[22]	Navigant Research. Smart cities[EB/OL]. [2016-03-13]. .
[23]	ANDERSON J , KITCHIN R . The real-time city? big data and smart urbanism[J]. GeoJournal, 2014,79(1):1-14.
[24]	HANCKE G P , SILVA B C , HANCKE J R G . The role of advanced sensing in smart cities[J]. Sensors, 2013,13(1): 393-425.
[25]	CARAGLIU A , DEL BO C , NIJKAMP P . Smart cities in Europe[J]. Journal of Urban Technology, 2011,18(2): 65-82.
[26]	ALLWINKLE S , CRUICKSHANK P . Creating smarter cities:an overview[J]. Journal of Urban Technology, 2011,18(2):1-16.
[27]	KITCHIN R . Big data and human geography:opportunities,challenges and risks[J]. Dialogues in Human Geography, 2013,3(3):262-267.

利用大数据挖掘和知识发现技术辅助智慧城市发展

Big data analysis and knowledge discovery for smart city development enhancement

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