Supporting Smart Community Decision Making for Self-governance with Multiple Views

Size and evolution of current cities present a great challenge to their inhabitants to make them develop in a harmonious and sustainable way. People living in large cities find many obstacles to participate in the urban development decisions affecting them directly. A tool which supports citizens in gathering, combining and visualizing the information, as well as proposing, discussing and selecting the best ideas for urban improvement would certainly help them to accomplish this task, thus contributing to the development of a more participatory society and a smarter city with better reaction capabilities to changes in the environment. In this work we present a smart city application, intended for citizens living in an urban community enabling them to present and share their opinions, comments and interests. The application also should support citizens to make decisions. Those decisions should influence local authorities concerning community improvements. The application may be used with any subject relevant to an urban community and thus, it could be useful in many scenarios of citizens’ participation and decision making. It includes multiple views: time-based, spatial and relational.

[1]  Hans Schaffers,et al.  Developing a Policy Roadmap for Smart Cities and the Future Internet , 2011 .

[2]  Giuseppe Piro,et al.  Information centric services in Smart Cities , 2014, J. Syst. Softw..

[3]  Atsuhiro Takasu,et al.  Crowdsourced Mobile Sensing for Smarter City Life , 2014, 2014 IEEE 7th International Conference on Service-Oriented Computing and Applications.

[4]  Colin Baskin,et al.  Towards a smart community: Rethinking the strategic use of ICTs in teaching and learning , 2003 .

[5]  Sameep Mehta,et al.  Harnessing the crowds for smart city sensing , 2012, CrowdSens '12.

[6]  Noordin Ahmad,et al.  Smart City Components Architicture , 2009, 2009 International Conference on Computational Intelligence, Modelling and Simulation.

[7]  Sylvie Daniel,et al.  geoSmartCity: geomatics contribution to the smart city , 2013, DG.O.

[8]  Hernán Pereira Análisis experimental de los criterios de evaluación de usabilidad de aplicaciones multimedia en entornos de educación y formación a distancia , 2002 .

[9]  Patrice Rios,et al.  Creating "The Smart City" , 2012 .

[10]  Stanley D. Brunn,et al.  Cyberinfrastructures and ‘Smart’ World Cities: Physical, Human and Soft Infrastructures , 2011 .

[11]  Deepak Ganesan,et al.  mCrowd: a platform for mobile crowdsourcing , 2009, SenSys '09.

[12]  Georgios K. Ouzounis,et al.  Smart cities of the future , 2012, The European Physical Journal Special Topics.

[13]  César A. Collazos,et al.  Selecting Computing Devices to Support Mobile Collaboration , 2006 .

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

[15]  R. E. Hall,et al.  VISION OF A SMART CITY , 2000 .

[16]  Jackie Phahlamohlaka,et al.  Towards a Smart Community Centre: SEIDET Digital Village , 2014, HCC.

[17]  Chris North,et al.  Exploring context switching and cognition in dual-view coordinated visualizations , 2003, Proceedings International Conference on Coordinated and Multiple Views in Exploratory Visualization - CMV 2003 -.

[18]  J. Li,et al.  Smart city and the applications , 2011, 2011 International Conference on Electronics, Communications and Control (ICECC).

[19]  Reza Curtmola,et al.  Fostering participaction in smart cities: a geo-social crowdsensing platform , 2013, IEEE Communications Magazine.

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

[21]  Ari-Veikko Anttiroiko,et al.  Smart cities in the new service economy: building platforms for smart services , 2014, AI & SOCIETY.

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

[23]  J.C. Roberts,et al.  State of the Art: Coordinated & Multiple Views in Exploratory Visualization , 2007, Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV 2007).

[24]  Victor C. M. Leung,et al.  Multidimensional context-aware social network architecture for mobile crowdsensing , 2014, IEEE Communications Magazine.

[25]  Jayant Kalagnanam,et al.  Foundations for Smarter Cities , 2010, IBM J. Res. Dev..