skip to main content
10.1145/3366424.3386584acmconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
research-article

CityDNA Dynamics: A Model for Smart City Maturity and Performance Benchmarking

Published: 20 April 2020 Publication History

Abstract

Smart cities have emerged significantly since their initial appearance in 1990s, more and more cities around the world are striving to gain intelligence and in this regard the need for standardization and performance measurement grows. Given the current challenges in the field of smart cities, this work revisits the proposed “cityDNA” framework which has been designed to detect the interrelations between smart city dimensions and form city profile. This work contribute to further enable benchmarking and measuring the maturity of smart cities through the exploitation of international standards and civil engagement. The proposed framework along with the design of a web application will handle urban data effectively. “cityDNA” that will be advanced to receive and utilize urban data and visualize cities’ health and maturity metrics is presented, while potential constraints on its implementation are highlighted.

References

[1]
Taewoo Nam and Theresa Pardo. 2011. Conceptualizing smart city with dimensions of technology, people, and institutions. In Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times (dg.o' 11).ACM.
[2]
Michael Batty, Kay W. Axhausen, Fosca Giannotti, Alexei Pozdnoukhov, Armando Bazzani, Monica Wachowicz, Georgios Ouzounis, and Yuval Portugali. 2012. Smart cities of the future. The European Physical Journal Special Topics 214, 1 (November 2012), 481–518.
[3]
Leonidas G. Anthopoulos. 2017. Understanding Smart Cities: A Tool for Smart Government or an Industrial Trick?. Springer International Publishing.
[4]
Leonidas G. Anthopoulos (Ed). 2019. Smart City Emergence: Cases From Around the World. Transportation and Smart Cities book series, ElSevier: New York.
[5]
Vaia Moustaka, Athena, Vakali, and Leonidas G. Anthopoulos. 2019. A Systematic Review for Smart City Data Analytics. ACM Comput. Surv.51, 5, Article 103 (Jan. 2019), 41 pages.
[6]
Rudolf Giffinger and Haindlmaier Gudrun. 2010. Smart cities ranking: An effective instrument for the positioning of cities?. ACE 4, 12 (February 2010), 7–25, URL: http://hdl.handle.net/2099/8550
[7]
Emanuele. Bellini, Paolo Ceravolo, and Paolo Nesi. 2017. Quantify resilience enhancement of UTS through exploiting connect community and internet of everything emerging technologies. ACM Transactions on Internet Technology 9, 4 (2017), Article 39.
[8]
Md Ileas Pramanik, Raymond Y. K. Lau, Haluk Demirkan, and Md. Abul Kalam Azad. 2017. Smart health: Big data enabled health paradigm within smart cities. Expert Systems With Applications 87 (2017), 370–383.
[9]
Teng Li. 2017. Criminal behavior analysis method based on data mining technology. In Proceedings of the International Conference on Smart City and Systems Engineering (ICSCSE’16), 562–565.
[10]
Beiyu Lin, Yibo Huangfu, Nathan Lima, Brian Lamb, and Diane. J. Cook. 2017. Analyzing the relationship between human behavior and indoor air quality. Journal of Sensor and Actuator Networks 6, 3 (2017), 13–27.
[11]
Vaia Moustaka, Zenonas Theodosiou, Athena Vakali, Anastasis Kounoudes, Leonidas G. Anthopoulos. 2018. Εnhancing Social Networking in Smart Cities: Privacy and Security Borderlines. Technological Forecasting & Social Change, Elsevier.
[12]
Zaheer Allam and Zaynah A. Dhunny. 2019. On big data, artificial intelligence and smart cities. Cities, 89, 80–91.
[13]
Julien Nigon, Estele Glize, David Dupas, Fabrice Crasnier, and Jeremy Boes. 2016. Use Cases of Pervasive Artificial Intelligence for Smart Cities Challenges. In 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld). 
[14]
Pramathi J. Navarathna, and Vindhya P. Malagi. 2018. Artificial Intelligence in Smart City Analysis. In2018 International Conference on Smart Systems and Inventive Technology (ICSSIT). 
[15]
Miimu Airaksinen, Isabel Pinto Seppä, Aapo Huovila, Hans-Martin Neumann, Branislav Iglar and Peter Bosch. 2017. Smart city performance measurement framework CITYkeys. In2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), Funchal, 2017, 718-723.
[16]
Aapo Huovila, Peter Bosch, Miimu Airaksinen. 2019. Comparative analysis of standardized indicators for Smart sustainable cities: What indicators and standards to use and when?. Cities 89, 141-153.
[17]
Oliver Christ, Michael Czarniecki, Christian Kressig, Lukas Scherer. 2017. Satisfaction Benchmark for Smart Cities. In: Brdulak A., Brdulak H. (eds) Happy City - How to Plan and Create the Best Livable Area for the People. EcoProduction (Environmental Issues in Logistics and Manufacturing).Springer, Cham.
[18]
SmartCitiesWorld. 2017. TM Forum launches global Smart Cities Benchmark. Available at: https://www.smartcitiesworld.net/news/news/tm-forum-launches-global-smart-cities-benchmark–1277 (Accessed Jan. 2020)
[19]
Pedro Torrinha and Ricardo J.Machado. 2017. Assessment of maturity models for smart cities supported by maturity model design principles. In 2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC).
[20]
Danielle Warnecke, Rikka Wittstock, and Frank Teuteberg. 2019. Benchmarking of European smart cities – a maturity model and web-based self-assessment tool. Sustainability Accounting, Management and Policy Journal, 10, 4, 654-684.
[21]
Vaia Moustaka, Athena Vakali, and Leonidas G. Anthopoulos. 2017. CityDNA: Smart City Dimensions' Correlations for Identifying Urban Profile. In Proceedings of the 26th International Conference on World Wide Web (WWW '17 Companion).
[22]
Veda C. Storey, and Il-Yeol Song. 2017. Big data technologies and Management: What conceptual modeling can do. Data & Knowledge Engineering, 108, 50–67.
[23]
Enrique Estellés–Arolas and Fernando González–Ladrón–de–Guevara. 2012. Towards an integrated crowdsourcing definition. JIS, 1–14.
[24]
Antonio Corradi, Luca Foschini, Leo Gioia, and Raffaele Ianniello. 2016. Leveraging communities to boost participation and data collection in mobile crowd sensing. In Proceedings of the 2016 IEEE Global Communications Conference (GLOBECOM’16), IEEE.
[25]
Lauren Marinaro. 2016. Building smart cities starts with smart people. Available at: https://readwrite.com/2016/07/05/building-smart-cities-starts-with-smart-people/ (Accessed Jan. 2020)
[26]
Katie Bird. 2017. Keeping people at the centre of smart city initiatives. Available at: https://www.iso.org/news/ref2247.html. (Accessed Jan. 2020)
[27]
Thiago Henrique Silva Pedro O.S. Vaz de Melo, Jussara M. Almeida, Juliana Salles, Antonio Loureiro. 2013. A comparison of foursquare and instagram to the study of city dynamics and urban social behavior. In Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, UrbComp ’13, ACM, 2013.
[28]
Reid Priedhorsky, Aron Culotta, Sara Y. Del Valle. 2014. Inferring the origin locations of tweets with quantitative confidence. In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing - CSCW ’14.
[29]
Jeffrey Burke, D. Estrin, Mark Hansen, Andrew Parker, Nithya Ramanathan, Sasank Reddy, Mani B Srivastava. 2006. Participatory Sensing. In Proc. World Sensor Web Wksp. ACM Sensys 2006, Boulder, Colorado.
[30]
Marco Conti and Mohan Kumar. 2010. Opportunities in Opportunistic Computing. Computer 43, 1.
[31]
Nicholas D. Lane, Shane B. Eisenman, Mirco Musolesi, Emiliano Miluzzo, Andrew T. Campbell. 2008. Urban Sensing Systems: Opportunistic or Participatory. In Proc. ACM 9th Wksp. Mobile Computing Systems and Applications.
[32]
Athena Vakali and Vaia Moustaka. 2019. City dynamics tracking based on citizens data and sensing analytics. In: Nicos Komninos and Christina Kakderi (eds), Smart Cities in the Post-algorithmic Era: Integrating Technologies, Platforms and Governance. USA: Edward Elgar Publishing
[33]
Rockwell Anyoha. 2017. The History of Artificial Intelligence. Available at: http://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/ (Accessed Jan. 2020)
[34]
Shweta Srivastava, Aditya Bisht and Neetu Narayan. 20 17.Safety and security in smart cities using artificial intelligence — A review. In 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence, Noida, 2017, 130133.
[35]
Ben Goertzel and Pei Wang (Eds.). 2007. Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms, IOS Press, Amsterdam.
[36]
Shane Legg and Marcus Hutter. 2007. A collection of A Collection of Definitions of Intelligence. Available at: https://arxiv.org/abs/0706.3639 (Accessed Jan. 2020)
[37]
Andreas Kaplan and Michael Haenlein. 2018. Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons.
[38]
Miltiadis Alamaniotis, Lefteri H. Tsoukalas and Mark Buckner. 2016. Privacy-Driven Electricity Group Demand Response in Smart Cities Using Particle Swarm Optimization. In 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), San Jose, CA, 2016, 946-953.
[39]
Juan F. De Paz, Javier Bajo, Sara Rodríguez, Gabriel Villarrubia, Juan M. Corchado. 2016. Intelligent system for lighting control in smart cities. Information Sciences, 372, 241–255. Conference Location:El Paso, Texas USA
[40]
Shahzad Khan, Devashish Paul, Parham Momtahan and Moayad Aloqaily. 2018. Artificial intelligence framework for smart city microgrids: State of the art, challenges, and opportunities. In2018 Third International Conference on Fog and Mobile Edge Computing (FMEC), Barcelona, 2018, 283-288.
[41]
Gopal Kirshna Shyam, Sunilkumar S. Manvi, and Priyanka Bharti. 2017. Smart waste management using Internet-of-Things (IoT). In 2017 2nd International Conference on Computing and Communications Technologies (ICCCT), Chennai, 2017, 199-203.
[42]
Ibrahim Kök, Mehmet Ulvi Şimşek and Suat Özdemir. 2017. A deep learning model for air quality prediction in smart cities. In 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, 1983-1990.
[43]
U.S. National Library of Medicine. 2016. What is DNA?. Available at: https://ghr.nlm.nih.gov/primer/basics/dna (Accessed Jan. 2020)
[44]
ISO 37120. 2014. Sustainable development of communities. Indicators for city services and quality of life. Available at: https://www.iso.org/standard/62436.html (Accessed Jan. 2020)
[45]
ISO 37153. 2017. Smart community infrastructures. Maturity model for assessment and improvement. Available at: https://www.iso.org/standard/69225.html (Accessed Jan. 2020)
[46]
EUROPA (EUR-Lex). 2016. General Data Protection Regulation. Available at: https://eur-lex.europa.eu/eli/reg/2016/679/oj (Accessed Jan. 2020)

Cited By

View all
  • (2023)A Look to Model of Society and Teams Development Based on Initial Formation, Primary, Adaptable, Information, and Creative Society PatternsInternational Journal of Management Research and Economics10.51483/IJMRE.3.1.2023.36-563:1Online publication date: 5-Jan-2023
  • (2023)A Quantitative Model of Innovation Readiness in Urban Mobility: A Comparative Study of Smart Cities in the EU, Eastern Asia, and USA RegionsSmart Cities10.3390/smartcities60601486:6(3337-3358)Online publication date: 29-Nov-2023
  • (2023)Development of a Maturity Model for Assessing Smart Cities: A Focus Area Maturity ModelSmart Cities10.3390/smartcities60400996:4(2150-2175)Online publication date: 18-Aug-2023
  • Show More Cited By

Index Terms

  1. CityDNA Dynamics: A Model for Smart City Maturity and Performance Benchmarking
            Index terms have been assigned to the content through auto-classification.

            Recommendations

            Comments

            Information & Contributors

            Information

            Published In

            cover image ACM Conferences
            WWW '20: Companion Proceedings of the Web Conference 2020
            April 2020
            854 pages
            ISBN:9781450370240
            DOI:10.1145/3366424
            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Sponsors

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            Published: 20 April 2020

            Permissions

            Request permissions for this article.

            Check for updates

            Author Tags

            1. artificial intelligence
            2. citizen engagement
            3. city benchmarking
            4. city profile
            5. cityDNA
            6. conceptual model
            7. maturity
            8. smart cities
            9. standardization

            Qualifiers

            • Research-article
            • Research
            • Refereed limited

            Conference

            WWW '20
            Sponsor:
            WWW '20: The Web Conference 2020
            April 20 - 24, 2020
            Taipei, Taiwan

            Acceptance Rates

            Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

            Contributors

            Other Metrics

            Bibliometrics & Citations

            Bibliometrics

            Article Metrics

            • Downloads (Last 12 months)25
            • Downloads (Last 6 weeks)3
            Reflects downloads up to 15 Feb 2025

            Other Metrics

            Citations

            Cited By

            View all
            • (2023)A Look to Model of Society and Teams Development Based on Initial Formation, Primary, Adaptable, Information, and Creative Society PatternsInternational Journal of Management Research and Economics10.51483/IJMRE.3.1.2023.36-563:1Online publication date: 5-Jan-2023
            • (2023)A Quantitative Model of Innovation Readiness in Urban Mobility: A Comparative Study of Smart Cities in the EU, Eastern Asia, and USA RegionsSmart Cities10.3390/smartcities60601486:6(3337-3358)Online publication date: 29-Nov-2023
            • (2023)Development of a Maturity Model for Assessing Smart Cities: A Focus Area Maturity ModelSmart Cities10.3390/smartcities60400996:4(2150-2175)Online publication date: 18-Aug-2023
            • (2023)A Review of Smart City Maturity Assessment ModelsAdvances in Information Technology in Civil and Building Engineering10.1007/978-3-031-32515-1_8(99-107)Online publication date: 30-Aug-2023
            • (2022)Building Adaptable Dashboards for Smart Cities: Design and EvaluationProgramming and Computer Software10.1134/S036176882208007248:8(534-551)Online publication date: 21-Dec-2022
            • (2021)Urban Data Dynamics: A Systematic Benchmarking Framework to Integrate Crowdsourcing and Smart Cities’ StandardizationSustainability10.3390/su1315855313:15(8553)Online publication date: 31-Jul-2021
            • (2021)MEC-Enabled Hierarchical Emotion Recognition and Perturbation-Aware Defense in Smart CitiesIEEE Internet of Things Journal10.1109/JIOT.2021.30793048:23(16933-16945)Online publication date: 1-Dec-2021
            • (2021)Information Visualization In Adaptable Dashboards For Smart Cities: A Systematic Review2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT)10.1109/CONISOFT52520.2021.00017(34-43)Online publication date: Oct-2021
            • (2021)Analysing challenges to smart waste management for a sustainable circular economy in developing countries: a fuzzy DEMATEL studySmart and Sustainable Built Environment10.1108/SASBE-06-2021-009712:2(361-384)Online publication date: 12-Nov-2021
            • (2021)Agile Governance Supported by the Frugal Smart CityIntelligent Sustainable Systems10.1007/978-981-16-6369-7_9(95-105)Online publication date: 17-Dec-2021
            • Show More Cited By

            View Options

            Login options

            View options

            PDF

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader

            HTML Format

            View this article in HTML Format.

            HTML Format

            Figures

            Tables

            Media

            Share

            Share

            Share this Publication link

            Share on social media