CITY FEED

Crowdsourcing implies user collaboration and engagement, which fosters a renewal of city governance processes. In this article, we address a subset of crowdsourcing, named citizen-sourcing, where citizens interact with authorities collaboratively and actively. Many systems have experimented citizen-sourcing in city governance processes; however, their maturity levels are mixed. In order to focus on the service maturity, we introduce a city service maturity framework that contains five levels of service support and two levels of information integration. As an example, we introduce CITY FEED, which implements citizen-sourcing in city issue management process. In order to support such process, CITY FEED supports all levels of the maturity framework (publishing, transacting, interacting, collaborating, and evaluating) and integrates related information relationally and heterogeneously. In order to integrate heterogeneous information, it implements a threefold feed deduplication mechanism based on the geographic, text semantic, and image similarities of feeds. Currently, CITY FEED is in a pilot stage.

[1]  Maxat Kassen Globalization of e-government: open government as a global agenda; benefits, limitations and ways forward , 2014 .

[2]  Frank Bannister,et al.  E-government Stage Models: A Contextual Critique , 2015, 2015 48th Hawaii International Conference on System Sciences.

[3]  Enrique Bonsón,et al.  Local e-government 2.0: Social media and corporate transparency in municipalities , 2012, Gov. Inf. Q..

[4]  Patricio A. Vela,et al.  A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm , 2012, Expert Syst. Appl..

[5]  Rodney X. Sturdivant,et al.  Applied Logistic Regression: Hosmer/Applied Logistic Regression , 2005 .

[6]  Björn Hartmann,et al.  Collaboratively crowdsourcing workflows with turkomatic , 2012, CSCW.

[7]  Xiao Hua Chen,et al.  A WordNet-based semantic similarity measurement combining edge-counting and information content theory , 2015, Eng. Appl. Artif. Intell..

[8]  M. J. Moon The Evolution of E-Government among Municipalities: Rhetoric or Reality? , 2002 .

[9]  Jungwoo Lee,et al.  10 year retrospect on stage models of e-Government: A qualitative meta-synthesis , 2010, Gov. Inf. Q..

[10]  François Charoy,et al.  CrowdSC: Building Smart Cities with Large-Scale Citizen Participation , 2013, IEEE Internet Computing.

[11]  Hai Yang,et al.  ACM Transactions on Intelligent Systems and Technology - Special Section on Urban Computing , 2014 .

[12]  Qinghua Zhu,et al.  Evaluation on crowdsourcing research: Current status and future direction , 2012, Information Systems Frontiers.

[13]  Nick Ellison,et al.  Social Media and Local Government: Citizenship, Consumption and Democracy , 2014 .

[14]  A. Ho Reinventing Local Governments and the E‐Government Initiative , 2002 .

[15]  Hernán Astudillo,et al.  Conception, development and implementation of an e-Government maturity model in public agencies , 2011, Gov. Inf. Q..

[16]  Matteo Golfarelli,et al.  The Dimensional Fact Model: A Conceptual Model for Data Warehouses , 1998, Int. J. Cooperative Inf. Syst..

[17]  José Ramón Gil-García,et al.  Understanding the evolution of e-government: The influence of systems of rules on public sector dynamics , 2007, Gov. Inf. Q..

[18]  Andrea Calì,et al.  Data Integration under Integrity Constraints , 2004, CAiSE.

[19]  Soon Ae Chun,et al.  Government 2.0: Making connections between citizens, data and government , 2010, Inf. Polity.

[20]  Linlin You,et al.  Social data analysis framework in cloud and Mobility Analyzer for Smarter Cities , 2014, Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics.

[21]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[22]  Christoph Ihl,et al.  Citizensourcing: Applying the Concept of Open Innovation to the Public Sector , 2010 .

[23]  Franco Zambonelli Pervasive urban crowdsourcing: Visions and challenges , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[24]  Michael Theil,et al.  Technology push, legislation pull? E-government in the European Union , 2003, Decis. Support Syst..

[25]  Jay R. Galbraith,et al.  Designing Your Organization: Using the STAR Model to Solve 5 Critical Design Challenges , 2007 .

[26]  Licia Capra,et al.  Urban Computing: Concepts, Methodologies, and Applications , 2014, TIST.

[27]  Jihad Farah,et al.  Crowdsourced Monitoring, Citizen Empowerment and Data Credibility - The Case of Observations.be , 2014, ICCSA.

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

[29]  Ivar Jacobson,et al.  Object-oriented software engineering - a use case driven approach , 1993, TOOLS.

[30]  Mark Roseland,et al.  Toward Sustainable Communities: Resources for Citizens and Their Governments , 1992 .

[31]  J. Kaivo-oja,et al.  Smart Regions: Two Cases of Crowdsourcing for Regional Development , 2013 .

[32]  Jungwoo Lee,et al.  Developing fully functional E-government: A four stage model , 2001, Gov. Inf. Q..

[33]  Richard L. Nolan,et al.  Managing the computer resource , 1973, Commun. ACM.

[34]  John Carlo Bertot,et al.  E-Government: initiatives, developments, and issues , 2002, Gov. Inf. Q..

[35]  Alexandra Collm,et al.  Strategies for Introducing Organizational Innovation to Public Service Organizations , 2014 .

[36]  Ronald D. Moen,et al.  Clearing up myths about the Deming cycle and seeing how it keeps evolving , 2010 .

[37]  Hans Jochen Scholl,et al.  Process integration, information sharing, and system interoperation in government: A comparative case analysis , 2012, Gov. Inf. Q..

[38]  Maria Wimmer,et al.  Integrated Service Modeling for Online One-stop Government , 2002, Electron. Mark..

[39]  Ponnurangam Kumaraguru,et al.  TweetCred: Real-Time Credibility Assessment of Content on Twitter , 2014, SocInfo.

[40]  Ioana Manolescu,et al.  DataBridges: data integration for digital cities , 2012, CDMW '12.

[41]  Hossein Nezamabadi-pour,et al.  A short-term learning approach based on similarity refinement in content-based image retrieval , 2013, Multimedia Tools and Applications.

[42]  Paul Brown,et al.  Fix my street or else: using the internet to voice local public service concerns , 2007, ICEGOV '07.

[43]  Dennis Linders,et al.  From e-government to we-government: Defining a typology for citizen coproduction in the age of social media , 2012, Gov. Inf. Q..

[44]  Fernando González-Ladrón-de-Guevara,et al.  Towards an integrated crowdsourcing definition , 2012, J. Inf. Sci..

[45]  Tuomas Ahola,et al.  A network perspective on idea and innovation crowdsourcing in industrial firms , 2014 .

[46]  Taewoo Nam,et al.  Suggesting frameworks of citizen-sourcing via Government 2.0 , 2012, Gov. Inf. Q..

[47]  Masatoshi Arikawa,et al.  A mobile phone-based exploratory citizen sensing environment , 2013, UbiComp.

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

[49]  Ramón Alcarria,et al.  A Mobile Crowdsourcing Platform for Urban Infrastructure Maintenance , 2014, 2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[50]  Linlin You,et al.  Mobility Service Systems: Guidelines for a possible paradigm and a case study , 2014, Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics.

[51]  Eric W. Welch,et al.  Social media use in local government: Linkage of technology, task, and organizational context , 2013, Gov. Inf. Q..

[52]  Tianyi Ma,et al.  Personal Mobility Service System in Urban Areas: The IRMA Project , 2015, 2015 IEEE Symposium on Service-Oriented System Engineering.

[53]  Bin Guo,et al.  From participatory sensing to Mobile Crowd Sensing , 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).

[54]  Alon Y. Halevy,et al.  Crowdsourcing systems on the World-Wide Web , 2011, Commun. ACM.