The Performance of the Smart Cities in China—A Comparative Study by Means of Self-Organizing Maps and Social Networks Analysis

Smart cities link the city services, citizens, resource and infrastructures together and form the heart of the modern society. As a “smart” ecosystem, smart cities focus on sustainable growth, efficiency, productivity and environmentally friendly development. By comparing with the European Union, North America and other countries, smart cities in China are still in the preliminary stage. This study offers a comparative analysis of ten smart cities in China on the basis of an extensive database covering two time periods: 2005–2007 and 2008–2010. The unsupervised computational neural network self-organizing map (SOM) analysis is adopted to map out the various cities based on their performance. The demonstration effect and mutual influences between these ten smart cities are also discussed by using social network analysis. Based on the smart city performance and cluster network, current problems for smart city development in China were pointed out. Future research directions for smart city research are discussed at the end this paper.

[1]  R. Florida The Economic Geography of Talent , 2002 .

[2]  Melody Y. Kiang,et al.  An extended self-organizing map network for market segmentation - a telecommunication example , 2006, Decis. Support Syst..

[3]  Gregory S. Yovanof,et al.  An Architectural Framework and Enabling Wireless Technologies for Digital Cities & Intelligent Urban Environments , 2009, Wirel. Pers. Commun..

[4]  Silvia Giordano,et al.  Modelling the smart city performance , 2012 .

[5]  Will Galloway North American-type Smart Growth and the Japanese Suburb: A Case Study , 2007 .

[6]  Carlos Serrano-Cinca,et al.  Self organizing neural networks for financial diagnosis , 1996, Decision Support Systems.

[7]  L Leinonen,et al.  Self-organized acoustic feature map in detection of fricative-vowel coarticulation. , 1993, The Journal of the Acoustical Society of America.

[8]  Benedetta Mattoni,et al.  A multilevel method to assess and design the renovation and integration of Smart Cities , 2015 .

[9]  Peter Nijkamp,et al.  Benchmarking of world cities through self-organizing maps , 2013 .

[10]  Jesse M. Shapiro Smart Cities: Quality of Life, Productivity, and the Growth Effects of Human Capital , 2005, The Review of Economics and Statistics.

[11]  Simone Santini,et al.  Three-dimensional planar-faced object classification with Kohonen maps , 1993 .

[12]  Krassimira Paskaleva,et al.  Assessing Local Readiness for City E-Governance in Europe , 2008, Int. J. Electron. Gov. Res..

[13]  Belinda Yuen,et al.  Sustainable Urban Transport , 2011 .

[14]  Klaus Schulten,et al.  Implementation of self-organizing neural networks for visuo-motor control of an industrial robot , 1993, IEEE Trans. Neural Networks.

[15]  Chris Benner,et al.  Learning Communities in a Learning Region: The Soft Infrastructure of Cross-Firm Learning Networks in Silicon Valley , 2003 .

[16]  Emmanouil Tranos,et al.  Smart networked cities? , 2012 .

[17]  Eric Séverin,et al.  Self organizing maps in corporate finance: Quantitative and qualitative analysis of debt and leasing , 2010, Neurocomputing.

[18]  Mariacristina Roscia,et al.  Definition methodology for the smart cities model , 2012 .

[19]  M. V. Velzen,et al.  Self-organizing maps , 2007 .

[20]  O. J. Vrieze,et al.  Kohonen Network , 1995, Artificial Neural Networks.

[21]  Peter Cruickshank,et al.  Creating Smart-er Cities: An Overview , 2011 .

[22]  José Ramón Gil-García,et al.  Understanding Smart Cities: An Integrative Framework , 2012, HICSS.

[23]  Vicente Pina,et al.  E-government developments on delivering public services among EU cities , 2005, Gov. Inf. Q..

[24]  Jonathan D. Linton,et al.  Mapping the Structure of Research: Business and Management as an Exemplar , 2009 .

[25]  Ioannis Chatzigiannakis,et al.  WISEBED: An Open Large-Scale Wireless Sensor Network Testbed , 2009, SENSAPPEAL.

[26]  Nikolaos Komninos,et al.  Intelligent Cities and Globalisation of Innovation Networks , 2008 .

[27]  P. Nijkamp,et al.  Smart Cities in Europe , 2011 .

[28]  R. Hollands Will the real smart city please stand up? , 2008, The Routledge Companion to Smart Cities.

[29]  Thomas Watteyne,et al.  Smarter cities through standards-based wireless sensor networks , 2011, IBM J. Res. Dev..

[30]  José Manuel Moya,et al.  Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments , 2012, Sensors.

[31]  Daniel Arribas-Bel,et al.  Self-Organizing Maps and the US Urban Spatial Structure , 2013 .

[32]  R. Méndez,et al.  Spanish cities in the knowledge economy , 2011 .

[33]  Andrea Caragliu,et al.  Smartness and European urban performance: assessing the local impacts of smart urban attributes , 2012 .

[34]  陳乃華 Market segmentation, Service Quality, and Overall Satisfaction: Self-Organizing Map and Structural Equation Modeling Methods , 2011 .

[35]  Gerhard P. Hancke,et al.  The Role of Advanced Sensing in Smart Cities , 2012, Sensors.

[36]  André Skupin,et al.  Visualizing Demographic Trajectories with Self-Organizing Maps , 2005, GeoInformatica.

[37]  Sang M. Lee,et al.  Current practices of leading e-government countries , 2005, Commun. ACM.

[38]  Mario Lucchini,et al.  Mapping Patterns of Multiple Deprivation and Well-Being using Self-Organizing Maps: An Application to Swiss Household Panel Data , 2012, Social Indicators Research.

[39]  Jaison R. Abel,et al.  Knowledge in Cities , 2010 .

[40]  Pavlos S. Kanaroglou,et al.  Smart growth strategies, transportation and urban sprawl: simulated futures for Hamilton, Ontario , 2008 .

[41]  Kent E. Portney,et al.  Civic Engagement and Sustainable Cities in the United States , 2005 .

[42]  Alexander Gluhak,et al.  SmartSantander: The meeting point between Future Internet research and experimentation and the smart cities , 2011, 2011 Future Network & Mobile Summit.

[43]  Amar Mitiche,et al.  Modeling and classification of shape using a Kohonen associative memory with selective multiresolution , 1993, Neural Networks.

[44]  Maurizio Pisati,et al.  Mapping Patterns of Multiple Deprivation Using Self-Organising Maps: An Application to EU-SILC Data for Ireland , 2010 .

[45]  Yide Liu,et al.  Wireless Sensor Network Applications in Smart Grid: Recent Trends and Challenges , 2012, Int. J. Distributed Sens. Networks.

[46]  Peter Nijkamp,et al.  Smart cities in perspective – a comparative European study by means of self-organizing maps , 2012 .

[47]  Jung-Hee Song IT839 Policy leading to u-Korea , 2006, VLDB.

[48]  David Gann,et al.  Technological Innovation and Complex Systems in Cities , 2011 .

[49]  Milind R. Naphade,et al.  Smarter Cities and Their Innovation Challenges , 2011, Computer.

[50]  武彦 福島 持続可能性(Sustainability)の要件 , 2006 .