Abstract
Recent technological developments and the availability of enormous amounts of real-time data have played a vital role in the expansion, evolution, and success of smart city projects. Smart data can be used in a variety of smart city applications, but difficulties in managing such data are pushing smart cities toward the adoption of data management frameworks. Many studies have brought into focus the importance of these frameworks as they combine data collection, processing, analysis, management, and visualization and provide privacy and security features for different smart city applications, i.e., transportation, to promote a better quality of life. This chapter highlights key components of the data management framework, reviews various smart city applications, and discusses privacy and security challenges associated with smart city data. From the perspective of data frameworks, it is seen that the data used in smart city applications is unstructured coming from heterogeneous sources, i.e., sensors and social media, besides others. Therefore, the collection, processing, analysis, management, and visualization of such data are challenging. To perform these tasks, recent technologies, i.e., Internet of Things (IoT), sensor networks, machine learning, etc., have been used. Moreover, the use of smart data for smart government and governance provides several facilities for the public and business. The smart data is revolutionizing the daily communication of users along with their mode of transportation by introducing Social IoT (SIoT) and autonomous vehicles. Lastly, the challenges related to privacy and security of the data in smart cities that needed to be addressed are highlighted. This chapter will guide academics and enterprises to progress in data management framework and its applications in smart cities in the near future.
Similar content being viewed by others
References
Alam, M., Ferreira, J., & Fonseca, J. (2016). Introduction to intelligent transportation systems. Intelligent Transportation Systems, 1–17.
Aldairi, A., & Tawalbeh, L. (2017). Cyber security attacks on smart cities and associated Mobile technologies. Procedia Computer Science, 109(2016), 1086–1091.
Allwinkle, S., & Cruickshank, P. (2011). Creating smart-er cities: An overview. Journal of Urban Technology, 18(2), 1–16.
Amin, H. A. M., Alkabani, Y., & Selim, G. M. I. (2014). System-level protection and hardware Trojan detection using weighted voting. Journal of Advanced Research, 5(4), 499–505.
Appio, F. P., Lima, M., & Paroutis, S. (2019). Understanding smart cities: Innovation ecosystems, technological advancements, and societal challenges. Technological Forecasting and Social Change, 142(xxxx), 1–14.
Augusto, J. C., Callaghan, V., Cook, D., Kameas, A., & Satoh, I. (2013). Intelligent environments: a manifesto. Human-Centric Computing and Information Science, 3(1), 12.
Axelsson, K., & Granath, M. (2018). Stakeholders’ stake and relation to smartness in smart city development: Insights from a Swedish city planning project. Government Information Quarterly, 35(4), 693–702.
Azri, S., Ujang, U., & Abdul Rahman, A. (2019). 3D geo-clustering for wireless sensor network in smart city. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives, 42(4/W12), 11–16.
Bagretsov, G. I., Shindarev, N. A., Abramov, M. V., & Tulupyeva, T. V. (2017). Approaches to development of models for text analysis of information in social network profiles in order to evaluate user’s vulnerabilities profile. In 2017 XX IEEE international conference on soft computing and measurements (SCM), pp. 93–95.
Baig, Z. A., et al. (2017). Future challenges for smart cities: Cyber-security and digital forensics. Digital Investigation, 22, 3–13.
Bakker, S., Maat, K., & van Wee, B. (2014). Stakeholders interests, expectations, and strategies regarding the development and implementation of electric vehicles: The case of the Netherlands. Transportation Research Part A: Policy and Practice, 66, 52–64.
Bamman, D., Eisenstein, J., & Schnoebelen, T. (2014). Gender identity and lexical variation in social media. Journal of Sociolinguistics, 18(2), 135–160.
Barnaghi, P., Bermudez-Edo, M., & Tönjes, R. (2015). Challenges for quality of data in smart cities. Journal of Data and Information Quality, 6(2–3).
Beier, M., & Wagner, K. (2016). Social media adoption: Barriers to the strategic use of social media in SMEs. In Proceedings of the European conference on information systems.
Bellido-Outeiriño, F. J., Quiles-Latorre, F. J., Moreno-Moreno, C. D., Flores-Arias, J. M., Moreno-García, I., & Ortiz-López, M. (2016). Streetlight control system based on wireless communication over DALI protocol. Sensors (Switzerland), 5, 16.
Ben Sta, H. (2017). Quality and the efficiency of data in ‘smart-cities’. Future Generation Computer Systems, 74, 409–416.
Bendoly, E. (2016). Fit, bias, and enacted sense making in data visualization: Frameworks for continuous development in operations and supply chain management analytics. Journal of Business Logistics, 37(1), 6–17.
Berrone, P., Ricart, J. E., Carraso, C., & Ricart, R. (2016). IESE cities in motion index 2016. IESE Business School University of Navarra, 1, 2017.
Bibri, S. E. (2018). The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability. Sustainable Cities and Society, 38, 230–253.
Bilal, M., Gani, A., Marjani, M., & Malik, N. (2019a). A study on detection and monitoring of water quality and flow. In 12th international conference on mathematics, actuarial science, computer science and statistics, MACS 2018 – Proceedings.
Bilal, M., Gani, A., Marjani, M., & Malik, N. (2019b). Predicting elections: Social media data and techniques. In 2019 international conference on engineering and emerging technologies (ICEET), pp. 1–6.
Bilal, M., Gani, A., Lali, M. I. U., Marjani, M., & Malik, N. (2019c). Social profiling: A review, taxonomy, and challenges. Cyberpsychology, Behavior and Social Networking, 22(7), 433–450.
Braun, T., Fung, B. C. M., Iqbal, F., & Shah, B. (2018). Security and privacy challenges in smart cities. Sustainable Cities and Society, 39, 499–507.
Bu, F., Wang, X., & Gao, B. (2019). A multi-projection deep computation model for smart data in Internet of Things. Future Generation Computer Systems, 93, 68–76.
Cai, H., Da Xu, L., Xu, B., Xie, C., Qin, S., & Jiang, L. (2014). IoT-based configurable information service platform for product lifecycle management. IEEE Transactions on Industrial Informatics, 10(2), 1558–1567.
Changbai, C., Jaehyoung, L., Juyeon, H., Insung, J., Minsoo, K., & Hyun, S. J. (2008). SNQL: A query language for sensor network databases. In Proceedings of the 7th WSEAS international conference on telecommunications and informatics (WSEAS), pp. 114–119.
Chatterjee, S., Kar, A. K., & Gupta, M. P. (2018). Success of IoT in smart cities of India: An empirical analysis. Government Information Quarterly, 35(3), 349–361.
Chen, F. (2016). How to integrate social media in IS curriculum, especially for a small IS program? In Proceedings of the Americas conference on information systems.
Cherdantseva, Y., et al. (2016). A review of cyber security risk assessment methods for SCADA systems. Computers & Security, 56, 1–27.
Clemons, E. K., Barnett, S., & Appadurai, A. (2007). The future of advertising and the value of social network websites. In Proceedings of the ninth international conference on electronic commerce, p. 267.
Collotta, M., & Pau, G. (2015). A novel energy management approach for smart homes using Bluetooth low energy. IEEE Journal on Selected Areas in Communications, 33(12), 2988–2996.
Crowther, J., Herzig, C., & Feller, G. (2012). The time is right for connected public lighting within smart cities. Philips and Cisco Internet Business Solutions Group (IBSG).
Daher, M., Diab, A., El Badaoui El Najjar, M., Ali Khalil, M., & Charpillet, F. (2017). Elder tracking and fall detection system using smart tiles. IEEE Sensors Journal, 17(2), 469–479.
de Bruijn, H., & Janssen, M. (2017). Building cybersecurity awareness: The need for evidence-based framing strategies. Government Information Quarterly, 34(1), 1–7.
Dekkers, G. et al. (2017). The SINS database for detection of daily activities in a home environment using an acoustic sensor network. In Proceedings of the detection and classification of acoustic scenes and events 2017 workshop (DCASE2017), pp. 32–36.
Deren, L., JianJun, C., & Yuan, Y. (2015). Big data in smart cities. Science China-Information Sciences, 58(10).
Diakaki, C., Papageorgiou, M., Papamichail, I., & Nikolos, I. (2015). Overview and analysis of vehicle automation and communication systems from a motorway traffic management perspective. Transportation Research Part A: Policy and Practice, 75, 147–165.
Docherty, I., Marsden, G., & Anable, J. (2018). The governance of smart mobility. Transportation Research Part A: Policy and Practice, 115, 114–125.
Eirinaki, M., Gao, J., Varlamis, I., & Tserpes, K. (2018). Recommender systems for large-scale social networks: A review of challenges and solutions. Future Generation Computer Systems, 78, 413–418.
Elmaghraby, A. S., & Losavio, M. M. (2014). Cyber security challenges in smart cities: Safety, security and privacy. Journal of Advanced Research, 5(4), 491–497.
Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167–181.
Falk, H. (2011). Applications, architectures, and protocol design issues for mobile social networks: A survey. Proceedings of the IEEE, 99(12), 2125–2129.
Fire, M., Tenenboim-Chekina, L., Puzis, R., Lesser, O., Rokach, L., & Elovici, Y. (2013). Computationally efficient link prediction in a variety of social networks. ACM Transactions on Intelligent Systems and Technology, 5(1), 10.
Galbrun, E., Pelechrinis, K., & Terzi, E. (2016). Urban navigation beyond shortest route: The case of safe paths. Information Systems, 57, 160–171.
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144.
Geels, F. W. (2012). A socio-technical analysis of low-carbon transitions: Introducing the multi-level perspective into transport studies. Journal of Transport Geography, 24, 471–482.
Gharaibeh, A., et al. (2017). Smart cities: A survey on data management, security, and enabling technologies. IEEE Communication Surveys and Tutorials, 19(4), 2456–2501.
Gil-Garcia, J., Zhang, J., & Puron-Cid, G. (2016). Conceptualizing smartness in government: An integrative and multi-dimensional view. Government Information Quarterly, 33, 524. Elsevier.
Guenduez, A. A., Mettler, T., & Schedler, K. (2017). Smart government – Participation and empowerment of bidders in the age of Big data and personalized algorithms. HMD Prax der Wirtschaftsinformatik, 54(4), 477–487.
Guenduez, A. A., Singler, S., Tomczak, T., Schedler, K., & Oberli, M. (2018). Smart Government Success Factors. Yearbook of Swiss Administrative Sciences, 9(1), 96–110.
Guenduez, A. A., Mettler, T., Schedler, K., Ramon, G. G. J., Pardo, T. A., & Mila, G. (2019). Beyond smart and connected governments: Sensors and the Internet of Things in the public sector. Springer.
Habibzadeh, H., Soyata, T., Kantarci, B., Boukerche, A., & Kaptan, C. (2018a). Sensing, communication and security planes: A new challenge for a smart city system design. Computer Networks, 144, 163–200.
Habibzadeh, H., Boggio-Dandry, A., Qin, Z., Soyata, T., Kantarci, B., & Mouftah, H. T. (2018b). Soft sensing in smart cities: Handling 3Vs using recommender systems, machine intelligence, and data analytics. IEEE Communications Magazine.
Habibzadeh, H., Nussbaum, B. H., Anjomshoa, F., Kantarci, B., & Soyata, T. (2019). A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities. Sustainable Cities and Society, 50, 101660.
Harsh, A., & Ichalkaranje, N. (2015). Transforming e-government to smart government: A South Australian perspective. In Intelligent computing, communication and devices (pp. 9–16). Springer, New Delhi.
Hashem, I. A. T., et al. (2016). The role of big data in smart city. International Journal of Information Management, 36(5), 748–758.
Hermida, A., Fletcher, F., Korell, D., & Logan, D. (2012). Share, like, recommend: Decoding the social media news consumer. Journalism Studies, 13(5–6), 815–824.
Hollands, R. G. (2008). Will the real smart city please stand up? Intelligent, progressive or entrepreneurial? City, 12(3), 303–320. https://doi.org/10.1080/13604810802479126
Honarvar, A. R., & Sami, A. (2019). Towards sustainable smart city by particulate matter prediction using urban big data, excluding expensive air pollution infrastructures. Big data research, 17, 56–65.
Ijaz, S., Shah, M. A., Khan, A., & Ahmed, M. (2016). Smart cities: A survey on security concerns. International Journal of Advanced Computer Science and Applications, 7(2), 612–625.
Jain, A., & Nagarajan, C. (2016). Efficient control algorithm for a smart solar street light. In Proceedings – NGMAST 2015 9th International Conference Next Generation Mobile Applications, Services and Technologie, pp. 376–381.
Jamali, M., & Ester, M. (2010). A matrix factorization technique with trust propagation for recommendation in social networks. In Proceedings of the fourth ACM conference on recommender systems, pp. 135–142.
Jameel, F., Wyne, S., Jayakody, D. N. K., Kaddoum, G., & O’Kennedy, R. (2018). Wireless social networks: A survey of recent advances, applications and challenges. IEEE Access, 6, 59589–59617.
Jiang, F., Leung, C. K., & Pazdor, A. G. M. (2016). Big data mining of social networks for friend recommendation. In Proceedings of the 2016 IEEE/ACM international conference on advances in social networks analysis and mining, pp. 921–922.
Jones, S., Hara, S., & Augusto, J. C. (2015). eFRIEND: An ethical framework for intelligent environments development. Ethics and Information Technology, 17(1), 11–25.
Kankanhalli, A., Charalabidis, Y., & Mellouli, S. (2019). IoT and AI for smart government: A research agenda. Government Information Quarterly, 36(2), 304–309.
Kendall, L., Hartzler, A., Klasnja, P., & Pratt, W. (2011). Descriptive analysis of physical activity conversations on Twitter. In CHI’11 extended abstracts on human factors in computing systems, pp. 1555–1560.
Khatoun, R. (2017). Cybersecurity and privacy solutions in smart cities. IEEE Communications Magazine, 55(3), 51–59, 3AD.
Khokhar, R. H., Fung, B. C. M., Iqbal, F., Alhadidi, D., & Bentahar, J. (2016). Privacy-preserving data mashup model for trading person-specific information. Electronic Commerce Research and Applications, 17, 19–37.
Kim, S.-N., Choo, S., & Mokhtarian, P. L. (2015). Home-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach. Transportation Research Part A: Policy and Practice, 80, 197–214.
Kliksberg, B. (2000). Rebuilding the state for social development: Towards ‘smart government’. International Review of Administrative Sciences.
Kosinski, M., Stillwell, D., & Graepel, T. (2013). Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences, 110(15), 5802–5805.
Kranz, M., Roalter, L., & Michahelles, F. (2010) Things that twitter: Social networks and the Internet of Things. In What can the Internet of Things do for the Citizen (CIoT) workshop at the eighth international conference on pervasive computing (Pervasive 2010), pp. 1–10.
Krieg, J.-G., Jakllari, G., Toma, H., & Beylot, A.-L. (2018). Unlocking the smartphone’s sensors for smart city parking. Pervasive and Mobile Computing, 43, 78–95.
Küçükkeçeci, C., & Yazıcı, A. (2018). Big data model simulation on a graph database for surveillance in wireless multimedia sensor networks. Big Data Research, 11, 33–43.
Kumar, R., Novak, J., & Tomkins, A. (2010). Structure and evolution of online social networks. In: Yu, P., Han, J., & Faloutsos, C. (eds) Link Mining: Models, Algorithms, and Applications. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6515-8_13.
Kuosa, T. (2016). The evolution of strategic foresight: Navigating public policy making. London: Routledge.
Lacinák, M., & Ristvej, J. (2017). Smart city, safety and security. Procedia Engineering, 192, 522–527.
Lee, J. H., Hancock, M. G., & Hu, M. C. (2014). Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco. Technological Forecasting and Social Change, 89, 80–99.
Lee, J., Bagheri, B., & Kao, H.-A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23.
Levin, M. W., & Boyles, S. D. (2016). A multiclass cell transmission model for shared human and autonomous vehicle roads. Transportation Research Part C: Emerging Technologies, 62, 103–116.
Li, D., Wang, S., Shi, W., & Wang, X. (2001). On spatial data mining and knowledge discovery (SDMKD). Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 26(6), 491–499.
Lim, C., Kim, K. J., & Maglio, P. P. (2018). Smart cities with big data: Reference models, challenges, and considerations. Cities, 82, 86–99.
Luo, Q., & Wu, H. (2007). System design issues in sensor databases. In Proceedings of the 2007 ACM SIGMOD international conference on management of data, p. 1182.
Malandra, F., Chiquette, L.-O., Lafontaine-Bédard, L.-P., & Sansò, B. (2018). Traffic characterization and LTE performance analysis for M2M communications in smart cities. Pervasive and Mobile Computing, 48, 59–68.
Martinez-Balleste, A., Perez-Martinez, P., & Solanas, A. (2013). The pursuit of citizens’ privacy: A privacy-aware smart city is possible. IEEE Communications Magazine, 51(6), 136–141.
McNaull, J., Augusto, J. C., Mulvenna, M., & McCullagh, P. (2012). Data and information quality issues in ambient assisted living systems. Journal of Data and Information Quality, 4(1).
Meijer, A., & Thaens, M. (2018). Quantified street: Smart governance of urban safety. Information Polity, 23(1), 29–41.
Meijer, A., Pedro, M., & Bolívar, R. (2016). Governing the smart city: A review of the literature on smart urban governance. International Review of Administrative Sciences, 82(2), 392–408.
Mellouli, S., Luna-Reyes, L. F., & Zhang, J. (2014). Smart government, citizen participation and open data. Information Polity, 19(1, 2), 1–4.
Menouar, H., Guvenc, I., Akkaya, K., Uluagac, A. S., Kadri, A., & Tuncer, A. (2017). UAV-enabled intelligent transportation systems for the smart city: Applications and challenges. IEEE Communications Magazine, 55, 22–28.
Mettler, T. (2019). The road to digital and smart government in switzerland. In Swiss Public Administration (pp. 175–186). Palgrave Macmillan, Cham.
Moglia, M., et al. (2018). Urban transformation stories for the 21st century: Insights from strategic conversations. Global Environmental Change, 50, 222–237.
Mydlarz, C., Salamon, J., & Bello, J. P. (2017). The implementation of low-cost urban acoustic monitoring devices. Applied Acoustics, 117, 207–218.
Nam, T., & Pardo, T. A. (2014). The changing face of a city government: A case study of Philly311. Government Information Quarterly, 31, S1–S9.
Nawaz, M. S., Bilal, M., Lali, M. I., Ul Mustafa, R., Aslam, W., & Jajja, S. (2017). Effectiveness of social media data in healthcare communication. Journal of Medical Imaging and Health Informatics, 7(6), 1365–1371.
Ning, Z., Liu, Y., Zhang, J., & Wang, X. (2017). Rising star forecasting based on social network analysis. IEEE Access, 5, 24229–24238.
Ortiz, A. M., Hussein, D., Park, S., Han, S. N., & Crespi, N. (2014). The cluster between Internet of Things and social networks: Review and research challenges. IEEE Internet of Things Journal, 1(3), 206–215.
Osman, A. M. S. (2019). A novel big data analytics framework for smart cities. Future Generation Computer Systems, 91, 620–633.
Otte, E., & Rousseau, R. (2002). Social network analysis: A powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441–453.
Pan, Y., Tian, Y., Liu, X., Gu, D., & Hua, G. (2016). Urban Big data and the development of city intelligence. Engineering, 2(2), 171–178.
Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1–2), 1–135.
Paola, D. R., & Rosenthal-Sabroux, C. (2014). Smart City how to create public and economic value with high Technology in Urban Space. Cham: Springer.
Pereira, G. V., Parycek, P., Falco, E., & Kleinhans, R. (2018). Smart governance in the context of smart cities: A literature review. Information Polity, 23(2), 143–162.
Plageras, A. P., Psannis, K. E., Stergiou, C., Wang, H., & Gupta, B. B. (2018). Efficient IoT-based sensor Big data collection–processing and analysis in smart buildings. Future Generation Computer Systems, 82, 349–357.
Praharaj, S., Hoon Han, J., & Hawken, S. (2018). TOWARDS THE RIGHT MODEL OF SMART CITY GOVERNANCE IN INDIA. International Journal of Sustainable Development and Planning, 13(2), 171–186.
Qin, Z., Cai, J., & Wangchen, H. Z. (2015). How rumors spread and stop over social media: A multi-layered communication model and empirical analysis. Communications of the Association for Information Systems, 36, 20.
Rahim, A., et al. (2018). Vehicular social networks: A survey. Pervasive and Mobile Computing, 43, 96–113.
Rathore, M. M., Ahmad, A., Paul, A., & Rho, S. (2016). Urban planning and building smart cities based on the Internet of Things using Big data analytics. Computer Networks, 101, 63–80.
Ruhlandt, R. W. S. (2018). The governance of smart cities: A systematic literature review. Cities, 81, 1–23.
Salas Mccluskey, C. P. (1988). A linked Forest manipulation system syntax rules for an attributed translation grammar for PL/0. International Journal of Computer Mathematics, 23(3–4), 201–235.
Salim, F., & Haque, U. (2015). Urban computing in the wild: A survey on large scale participation and citizen engagement with ubiquitous computing, cyber physical systems, and Internet of Things. International Journal of Human Computer Studies, 81, 31–48.
Sannino, G., & De Pietro, G. (2018). A deep learning approach for ECG-based heartbeat classification for arrhythmia detection. Future Generation Computer Systems, 86, 446–455.
Schedler, K. (2018). From electronic government and smart government. IMPuls, 1(1). ISSN 2624-585X. https://imp.unisg.ch/-/media/dateien/instituteundcenters/imp/imp-publikationen/impuls/impuls-ausgabe-01-2018_final.pdf.
Schedler, K., & Proeller, I. (2010). Outcome-oriented public management: A responsibility-based approach to the new public management. Charlotte: Information Age Publishing.
Schedler, K., Summermatter, L., & Schmidt, B. (2004). Managing the electronic government: From vision to practice. Greenwich: Information Age Publishing.
Schedler, K., Guenduez, A. A., & Frischknecht, R. (2017). How smart can government be? In IPMN Conference 2017. Shanghai Jiaotong University China, pp. 1–17.
Scholl, H. J., & Alawadhi, S. (2016). Smart governance as key to multi-jurisdictional smart city initiatives: The case of the eCityGov Alliance. Social Science Information, 55(2), 255–277.
Scholl, H. J., & Scholl, M. C. (2014). Smart governance: A roadmap for research and practice. In IConference 2014 proceedings.
Schulz, A., Guckelsberger, C., & Janssen, F. (2017). Semantic abstraction for generalization of tweet classification: An evaluation of incident-related tweets. Semantic Web, 8(3), 353–372.
Schurgot, M. R., Comaniciu, C., & Jaffres-Runser, K. (2012). Beyond traditional DTN routing: social networks for opportunistic communication. IEEE Communications Magazine, 50(7), 155–162.
Shen, Y., Chan, H. C., & Heng, C. S. (2016) The medium matters: Effects on what consumers talk about regarding movie trailers. In Proceedings of the international conference on information systems.
Sheu, M. H., Chang, L. H., Hsia, S. C., & Sun, C. C. (2016). Intelligent system design for variable color temperature LED street light. In 2016 IEEE international conference on consumer electronics-Taiwan (ICCE-TW), pp. 7–8.
Silva, B. N., Khan, M., & Han, K. (2018). Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities and Society, 38, 697–713.
Stieglitz, S., & Dang-Xuan, L. (2013). Social media and political communication: A social media analytics framework. Social Network Analysis and Mining, 3(4), 1277–1291.
Stieglitz, S., Bunker, D., Mirbabaie, M., & Ehnis, C. (2018). Sense-making in social media during extreme events. Journal of Contingencies & Crisis Management, 26(1), 4–15.
Sudha, C., & Nagesh, A. (2018). A comprehensive survey on data mining techniques in wireless sensor networks. International Journal of Computational Science and Engineering, 6(6), 1523–1527.
Tan, C., Lee, L., Tang, J., Jiang, L., Zhou, M., & Li, P. (2011). User-level sentiment analysis incorporating social networks. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1397–1405).
Tang, J., Gao, H., & Liu, H. (2012). mTrust: Discerning multi-faceted trust in a connected world. In Proceedings of the fifth ACM international conference on web search and data mining, pp. 93–102.
Team, I. P. (2017). EU General Data Protection Regulation (GDPR). IT Governance Limited.
Thakuriah, P. V., Tilahun, N., & Zellner, M. (2016). Seeing cities through big data: Research, methods and applications in urban informatics. Cham: Springer.
Thangavel, G., Memedi, M., & Hedström, K. (2019). A systematic review of social Internet of Things: Concepts and application areas. In The annual Americas conference on information systems (AMCIS).
Toole, J. L., Colak, S., Sturt, B., Alexander, L. P., Evsukoff, A., & González, M. C. (2015). The path most traveled: Travel demand estimation using big data resources. Transportation Research Part C: Emerging Technologies, 58, 162–177.
Townsend, A. M. (2013). Smart cities: Big data, civic hackers, and the quest for a new utopia. WW Norton & Company, New York.
Trautman, L. J. L., & Ormerod, P. C. (2017). Corporate directors’ and officers’ cybersecurity standard of care: The yahoo data breach. The American University Law Review, 66.
Tsiftes, N., & Dunkels, A. (2011). A database in every sensor. In Proceedings of the 9th ACM conference on embedded networked sensor systems, p. 316.
Valls, F., Redondo, E., Fonseca, D., Torres-Kompen, R., Villagrasa, S., & Martí, N. (2018). Urban data and urban design: A data mining approach to architecture education. Telematics and Informatics, 35(4), 1039–1052.
van Zoonen, L. (2016). Privacy concerns in smart cities. Government Information Quarterly, 33(3), 472–480.
Viale Pereira, G., Cunha, M. A., Lampoltshammer, T. J., Parycek, P., & Testa, M. G. (2017). Increasing collaboration and participation in smart city governance: A cross-case analysis of smart city initiatives. Information Technology for Development.
Vojkovic, G. (2018). Will the GDPR slow down development of smart cities? In 2018 41st international convention on information and communication technology, electronics and microelectronics, MIPRO 2018 – Proceedings.
Von Lucke, J. (2016). Germany on the way to smart government. VM Administration Management, 22(4), 171–186.
Vosecky, J., Jiang, D., & Ng, W. (2013). Limosa: A system for geographic user interest analysis in twitter. In Proceedings of the 16th international conference on extending database technology, pp. 709–712.
Wadud, Z., MacKenzie, D., & Leiby, P. (2016). Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles. Transportation Research Part A: Policy and Practice, 86, 1–18.
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications (Vol. 8). Cambridge: Cambridge University Press.
Wei, L., Ding, Y., Su, R., Tang, J., & Zou, Q. (2018). Prediction of human protein subcellular localization using deep learning. Journal of Parallel and Distributed Computing, 117, 212–217.
Wendling, C., Radisch, J., & Jacobzone, S. (2013). The use of social media in risk and crisis communication (OECD working papers on public governance). Paris: OECD.
White, C. (2001, September). IBM enterprise analytics for the intelligent e-business.
Wockatz, P., & Schartau, P. (2015). IM traveller needs and UK capability study: Supporting the realisation of intelligent mobility in the UK. Milton Keynes: Transport Systems Catapult.
Yao, C., Wu, S., Liu, Z., & Li, P. (2019). A deep learning model for predicting chemical composition of gallstones with big data in medical Internet of Things. Future Generation Computer Systems, 94, 140–147.
Yaqoob, I., Hashem, I. A. T., Mehmood, Y., Gani, A., Mokhtar, S., & Guizani, S. (2017). Enabling communication technologies for smart cities. IEEE Communications Magazine, 55(1), 112–120.
Yong Yao, J. G. (2012). Query processing for sensor networks. Wireless Communications, 4(1), 19–25.
Zeng, E., Mare, S., Roesner, F., & Allen, P. G. (2017) End user security and privacy concerns with smart homes. In Proceedings of the thirteenth symposium on usable privacy and security (SOUPS 2017). Soups.
Zhang, J., Shan, Y., & Huang, K. (2015). ISEE Smart Home (ISH): Smart video analysis for home security. Neurocomputing, 149, 752–766, no. PB.
Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information and Management, 53(7), 904–914.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this entry
Cite this entry
Bilal, M. et al. (2020). Smart Cities Data: Framework, Applications, and Challenges. In: Augusto, J. (eds) Handbook of Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-030-15145-4_6-1
Download citation
DOI: https://doi.org/10.1007/978-3-030-15145-4_6-1
Received:
Accepted:
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-15145-4
Online ISBN: 978-3-030-15145-4
eBook Packages: Living Reference Computer SciencesReference Module Computer Science and Engineering