Decision Model for Policy Makers in the Context of Citizens Engagement

Citizens’ engagement is considered as one of the important dimensions for the development of smart cities since, in the vision of a city of the future (smart city), citizens will be more and more involved in the decision-making process of different issues related to the development of a city. In this context, policy makers face a decision problem where they have to integrate a new dimension, which is the voice of the citizens’ decision. This article proposes a tool based on multicriteria decision making methods to provide decision makers with the best alternative(s) that are based on citizens’ opinions. In order to tackle the potential interdependencies between criteria and also between alternatives in the selection process, we apply a hybrid model integrating the analytical network process and an extended version of technique for order performance by similarity to ideal solution to support group decision-making. The proposed model is applied in the context of participatory budgeting (PB) where citizens decide on the projects in which the money can be invested. This process is complex since it encompasses multiple interdependent criteria that may be conflicting with each other and that are used to take decisions. To illustrate our approach, we will apply the proposed technique for the case study of La Marsa, a city in the north of the capital Tunis (Tunisia) that adopted, since 2014, a PB strategy in which citizens proposed alternatives on how an amount of money can be used to lighten specific streets in the city.

[1]  L. Zadeh.  Fuzzy sets as a basis for a theory of possibility , 1999 .

[2]  Mohand Boughanem.  Information Retrieval and Social Media , 2013, Modeling Approaches and Algorithms for Advanced Computer Applications.

[3]  Gilad Mishne,et al.  Finding high-quality content in social media , 2008, WSDM '08.

[4]  Theresa A. Pardo,et al.  Conceptualizing smart city with dimensions of technology, people, and institutions , 2011, dg.o '11.

[5]  Ana Cristina Murta Collares.  Participatory Budgeting in Brazil. Contestation, Cooperation and Accountability (review) , 2009 .

[6]  A. I. Ölçer,et al.  A hybrid approach for multi-objective combinatorial optimisation problems in ship design and shipping , 2008, Comput. Oper. Res..

[7]  T. M. Vinod Kumar,et al.  Participatory E-Budgeting Using GIS-Based Spatial Decision Support System: Kozhikode Municipal Corporation , 2015 .

[8]  Yolanda Gil,et al.  TRELLIS: An Interactive Tool for Capturing Information Analysis and Decision Making , 2002, EKAW.

[9]  Matthias Ehrgott,et al.  Multiple criteria decision analysis: state of the art surveys , 2005 .

[10]  David Ríos Insua,et al.  Participatory Budget Formation Through the Web , 2005, TCGOV.

[11]  Theresa A. Pardo,et al.  Building Understanding of Smart City Initiatives , 2012, EGOV.

[12]  E. Stanley Lee,et al.  An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..

[13]  Baogang He.  Civic Engagement Through Participatory Budgeting in China: Three Different Logics at Work , 2011 .

[14]  Metin Da ˘ gdeviren.  A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems , 2010 .

[15]  ChenChen-Tung.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000 .

[16]  R. Hays,et al.  Community Activists’ Perceptions of Citizenship Roles in an Urban Community: A Case Study of Attitudes That Affect Community Engagement , 2007 .

[17]  Martin Karlsson,et al.  Citizen centric e-participation - A trilateral collaboration for democratic innovation. Case studies on e-participation policy: Sweden, Estonia and Iceland , 2013 .

[18]  Camille Rosenthal-Sabroux,et al.  Smart and Digital City : A Systematic Literature Review , 2014 .

[19]  Yu-Jie Wang,et al.  Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan , 2008, Expert Syst. Appl..

[20]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[21]  C. Hwang.  Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey , 1979 .

[22]  T. L. Saaty,et al.  Decision making with dependence and feedback , 2001 .

[23]  Metin Dagdeviren,et al.  A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems , 2010, J. Intell. Manuf..

[24]  Theodor J. Stewart,et al.  Multiple Criteria Decision Analysis , 2001 .

[25]  Evangelos Triantaphyllou,et al.  Multi-criteria Decision Making Methods: A Comparative Study , 2000 .

[26]  Theresa A. Pardo,et al.  Smart city as urban innovation: focusing on management, policy, and context , 2011, ICEGOV '11.

[27]  Robert D. Putnam,et al.  Bowling alone: the collapse and revival of American community , 2000, CSCW '00.

[28]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[29]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .

[30]  Margaret F. Shipley,et al.  A decision making model for multi-attribute problems incorporating uncertainty and bias measures , 1991, Comput. Oper. Res..

[31]  Diana C. Mutz.  Hearing the Other Side: Deliberative versus Participatory Democracy , 2006 .

[32]  Jeremy Rose,et al.  The shape of eParticipation: Characterizing an emerging research area , 2008, Gov. Inf. Q..

[33]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[34]  Jean Pierre Brans,et al.  HOW TO SELECT AND HOW TO RANK PROJECTS: THE PROMETHEE METHOD , 1986 .

[35]  T. Saaty,et al.  Dependence and independence: From linear hierarchies to nonlinear networks , 1986 .

[36]  Soung Hie Kim,et al.  Using analytic network process and goal programming for interdependent information system project selection , 2000, Comput. Oper. Res..

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

[38]  Joachim Åström,et al.  Crisis, Innovation and e-Participation: Towards a Framework for Comparative Research , 2013, ePart.

[39]  Michael Orsini,et al.  Mapping the Links: Citizen Involvement in Policy Processes. CPRN Discussion Paper. , 2002 .

[40]  Gianpaolo Baiocchi,et al.  Militants and Citizens: The Politics of Participatory Democracy in Porto Alegre , 2005 .

[41]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[42]  F. Fischer.  Citizens, Experts, and the Environment: The Politics of Local Knowledge , 2000 .

[43]  Ralph L. Keeney,et al.  Decisions with multiple objectives: preferences and value tradeoffs , 1976 .

[44]  Chung-Hsing Yeh,et al.  Inter-company comparison using modified TOPSIS with objective weights , 2000, Comput. Oper. Res..

[45]  Lisa M. Campbell,et al.  Participatory Development and Community-Based Conservation: Opportunities Missed for Lessons Learned? , 2003 .

[46]  Barbara Poblete,et al.  Twitter under crisis: can we trust what we RT? , 2010, SOMA '10.

[47]  Joanna Goven,et al.  Deploying the Consensus Conference in New Zealand: Democracy and De-Problematization , 2003 .

[48]  Theodor J. Stewart,et al.  Multiple criteria decision analysis - an integrated approach , 2001 .

[49]  Bhuvan Bhatnagar,et al.  Participatory Development and the World Bank.; Potential Directions for Change , 1992 .

[50]  Huan-Jyh Shyur,et al.  COTS evaluation using modified TOPSIS and ANP , 2006, Appl. Math. Comput..