Smart City Analysis using Spatial Data and Predicting the Sustainability
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2014 by IJCTT Journal|
|Year of Publication : 2014|
|Authors : Thomas Joseph|
|DOI : 10.14445/22312803/IJCTT-V12P109|
Thomas Joseph."Smart City Analysis using Spatial Data and Predicting the Sustainability". International Journal of Computer Trends and Technology (IJCTT) V12(1):41-45, June 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Smart city  planning is crucial as it should balance among resources and the needs of the city .It allows to achieve good eco-friendly industries, there by supporting both the nature and the stake holders. Setting up an industry is a difficult problem, because it should optimize the resources and allocating it in an effective manner. Weighted sum approach  uses the spatial data for finding appropriate places to set up the industry based on the weight assigned to each constraint. The user can predict the possible places in the search space, where the industry can be set with low time complexity using spatial data. Diversity being introduced by using multipoint crossover and mutation operations. It will help to bring exploration in the search space, thereby bring the diversity factor into the solution space. The prediction approach will help to avoid the human exploitation on nature for resources. This in turn helps the investors to maximize the Return on Investment (ROI).
.Ignasi Vilajosana, Jordi Llosa, Borja Martinez, Marc Domingo-Prieto and Albert Angles, “Bootstrapping Smart Cities through a Self-Sustainable Model Based on Big Data Flows” , IEEE Communications Magazine June 2013.
.Ashish Ghosh and Satchidananda Dehuri, ”Evolutionary Algorithms for multi-Criterion Optimisation Survey”, International Journal of Computing & Information Sciences Vol.2,No.1,April 2004.
.Daniele Perissin and Teng Wang, “Time-Series InSAR Applications Over Urban Areas in China“ , IEEE journal of selected topics in applied earth observations and remote sensing, Vol. 4, No. 1, March 2011.
.Luis M Correia, Klaus Wünstel and Alcatel-Lucent, “Smart Cities Applications and Requirements”, White Paper on European Technology Platform, May 2011.
.Hafedh Chourabi, Taewoo Nam and Shawn Walker, ”Understanding Smart Cities: An Integrative Framework”, 45th Hawaii International Conference on System Sciences, May 2012.
.Jesse M Shapiro, "Smart cities: quality of life, productivity and the growth effects of human capital“, NBER paper series, September 2005.
.Rafael Achaerandio and Roberta Bigliani, "Smart Cities Analysis in Spain 2012 The Smart journey“, White paper Sponsored by: Atos, BBVA, Ferrovial Servicios, Microsoft, and Urbiotica, September 2012.
.Jose M. Hernandez, "smart cities, the silent IoT revolution" Telefonica Investigation, S.A. Unipersonal 2010, December 2010.
.Charbel Aoun, "The Smart City Cornerstone: Urban Efficiency “, Schneider Electric White Paper, January 2013.
.Hans Schaffers, Nicos Komninos and Marc Pallot, "Smart Cities as Innovation Ecosystems sustained by the Future Internet", FIREBALL White paper, April 2012.
.K.C Tan, T.H.Lee and E.F.Khor, "Evolutionary Algorithms for Multi-Objective Optimisation: Performance Assessments and Comparisons", Proceedings of the 2001 IEEE Congress on Evolutionary Computation Seoul, Korea (0-7803-6657-3/01), May 2001.
.Raymond Chiong and Ooi Koon Beng, "A comparison between Genetic Algorithms and Evolutionary Programming based on Cutting Stock Problem", Engineering Letters, 14:1, EL_14_1_14(Advance online publication),February 2007.
.Dilip Datta, Kalyanmoy Deb,Carlos M. Fonseca, Fernando G. Lobo and Paulo A. Condado, "Multi-objective Evolutionary Algorithm for Land-Use Management Problem", ISSN 0973-1873 Vol.3, No.4 (2007), pp. 371–384.
.V.K Varriavamoorthy, S D Gorantiwar, A Pathirana, “Managing urban water supplies in developing countries –climate change and water scarcity scenarios”, Elsevier Physics and chemistry of earth 33 (2008)330-339, pp 330-331.
.Last,Ewan, Mackey,Rae, “Developing a new scope model for urban sustainability”, 2007.
 Qiang, He.Li Zhaijun, Huang , “ Application of sustainable water system the demonstration in Chengdu(China)”, 2006.
Geographical Information System (GIS), multi-objective function, prediction method, smart city.