{"title":"Forthcoming Big Data on Smart Buildings and Cities: An Experimental Study on Correlations among Urban Data","authors":"Yu-Mi Song, Sung-Ah Kim, Dongyoun Shin","volume":124,"journal":"International Journal of Urban and Civil Engineering","pagesStart":501,"pagesEnd":511,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10007124","abstract":"
Cities are complex systems of diverse and inter-tangled activities. These activities and their complex interrelationships create diverse urban phenomena. And such urban phenomena have considerable influences on the lives of citizens. This research aimed to develop a method to reveal the causes and effects among diverse urban elements in order to enable better understanding of urban activities and, therefrom, to make better urban planning strategies. Specifically, this study was conducted to solve a data-recommendation problem found on a Korean public data homepage. First, a correlation analysis was conducted to find the correlations among random urban data. Then, based on the results of that correlation analysis, the weighted data network of each urban data was provided to people. It is expected that the weights of urban data thereby obtained will provide us with insights into cities and show us how diverse urban activities influence each other and induce feedback.<\/p>\r\n","references":"[1]\tF. E. Horton and D. R. Reynolds, \"Effects of urban spatial structure on individual behavior\", Economic geography, Perspectives on Urban Spatial Systems, vol.47 no.1, 1971, pp.36-48.\r\n[2]\tM. Batty, \u201cUrban Informatics and Big Data\u201d, ESRC (The UK Economic and Social Research Council) Cities Expert Group, 2013, unpublished.\r\n[3]\tI. A. T. Hashem, V. Chang, N. B. Anuar, K. Adewole, I. Yaqoob, A. Gani, E. Ahmed, and H. Chiroma, \u201cThe role of big data in smart city\u201d, International Journal of Information Management 36, 2016, pp.748-758.\r\n[4]\tL. M. A. Bettencourt, \u201cThe Uses of BIg Data in Cities\u201d, SFI Working Paper, Santafe Institute, 2013, pp.1-20.\r\n[5]\tM. M. Rathore, A. Ahmad, A. Paul, and S. Rho, \u201cUrban planning and building smart cities based on the Internet of Things using Big Data analytics\u201d, Computer Networks 101, 2016, pp.63\u201380.\r\n[6]\tJ. Cheng, N. Gould, and C. Jin, \u201cBig Data for urban studies: opportunities and challenges: a comparative perspective\u201d, 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress, IEEE Computer Society, 2016, pp.1229-1234.\r\n[7]\tY. Zhang, X. Tang, B. Du, W. Liu, J. Pu, and Y. Chen (2013), \u201cCorrelation Feature of Big Data in Smart Cities\u201d, H. Gao et al. (Eds.): DASFAA 2016 Workshops, LNCS 9645, pp. 223\u2013237.\r\n[8]\tOpen Data Portal, http:\/\/www.data.go.kr\/main.do (accessed Sep., 2016).\r\n[9]\tSeoul open data plaza, http:\/\/data.seoul.go.kr\/ (accessed Sep., 2016).\r\n[10]\tRapidminer, https:\/\/rapidminer.com\/ (accessed Dec., 2016).","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 124, 2017"}