Forthcoming Big Data on Smart Buildings and Cities: An Experimental Study on Correlations among Urban Data
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.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1130489Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 722
 F. 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.
 M. Batty, “Urban Informatics and Big Data”, ESRC (The UK Economic and Social Research Council) Cities Expert Group, 2013, unpublished.
 I. A. T. Hashem, V. Chang, N. B. Anuar, K. Adewole, I. Yaqoob, A. Gani, E. Ahmed, and H. Chiroma, “The role of big data in smart city”, International Journal of Information Management 36, 2016, pp.748-758.
 L. M. A. Bettencourt, “The Uses of BIg Data in Cities”, SFI Working Paper, Santafe Institute, 2013, pp.1-20.
 M. M. Rathore, A. Ahmad, A. Paul, and S. Rho, “Urban planning and building smart cities based on the Internet of Things using Big Data analytics”, Computer Networks 101, 2016, pp.63–80.
 J. Cheng, N. Gould, and C. Jin, “Big Data for urban studies: opportunities and challenges: a comparative perspective”, 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.
 Y. Zhang, X. Tang, B. Du, W. Liu, J. Pu, and Y. Chen (2013), “Correlation Feature of Big Data in Smart Cities”, H. Gao et al. (Eds.): DASFAA 2016 Workshops, LNCS 9645, pp. 223–237.
 Open Data Portal, http://www.data.go.kr/main.do (accessed Sep., 2016).
 Seoul open data plaza, http://data.seoul.go.kr/ (accessed Sep., 2016).
 Rapidminer, https://rapidminer.com/ (accessed Dec., 2016).