Data oriented view of a smart city: A big data approach
01 Feb 2017-pp 51-55
TL;DR: This paper presents a data oriented view of a smart city by studying the characteristics of data generated by various sources in the city and how big data can be used for smart city solutions, and provides a process flow and mapping for some of the smart city components.
Abstract: Smart City concept is being adopted by many governments to implement sustainable solutions and improve the quality of life of the citizens. This paper presents a data oriented view of a smart city by studying the characteristics of data generated by various sources in the city. This data would be used to build smart city components related to transport, healthcare, energy and environment. Datafication of smart city reveals that the data to be managed is Big Data. Hence, we further review how big data can be used for smart city solutions, and provide a process flow and mapping for some of the smart city components.
Citations
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TL;DR: This paper presents a methodological framework for an empirical deterministic–stochastic modeling approach to utilize large real-world datasets in long-term energy systems modeling and adds the feature of Monte Carlo simulations to the existing open-source energy modeling system (the OSeMOSYS modeling framework).
Abstract: Recent open-data movements give access to large datasets derived from real-world observations. This data can be utilized to enhance energy systems modeling in terms of heterogeneity, confidence, and transparency. Furthermore, it allows to shift away from the common practice of considering average values towards probability distributions. In turn, heterogeneity and randomness of the real-world can be captured that are usually found in large samples of real-world data. This paper presents a methodological framework for an empirical deterministic–stochastic modeling approach to utilize large real-world datasets in long-term energy systems modeling. A new software system—OSeMOSYS-PuLP—was developed and is available now.It adds the feature of Monte Carlo simulations to the existing open-source energy modeling system (the OSeMOSYS modeling framework). An application example is given, in which the initial application example of OSeMOSYS is used and modified to include real-world operation data from a public bus transport system.
14 citations
Cites background from "Data oriented view of a smart city:..."
..., see several definitions listed in the study by Joglekar and Kulkarni (2017) [26]....
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...Definitions for the collective term “smart city” differ in the literature though, Energies 2019, 12, 1382 4 of 26 e.g., see several definitions listed in the study by Joglekar and Kulkarni (2017) [26]....
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01 Jan 2020
TL;DR: The topical issue of climate change has increasingly become important as scenarios indicate an increase of 2.5-7.8°C in the global mean temperature by the end of this century, if no greenhouse gas emissions are emitted as discussed by the authors.
Abstract: The topical issue of climate change has increasingly become important as scenarios indicate an increase of 2.5–7.8°C in the global mean temperature by the end of this century, if no greenhouse gas ...
9 citations
Cites background from "Data oriented view of a smart city:..."
...Although multifaceted meanings and various definitions exist (Joglekar and Kulkarni, 2017), a smart city usually implies measurement of real-world behaviour through information and communication technology (ICT), and the use of that data to improve life quality and efficiency (Albino et al....
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01 Jun 2019
TL;DR: In this article, integrative Konzepte, die die City-Governance, Organisation and Technologie bundeln und auf eine einheitliche Zielerreichung hin ausrichten, are gewurded.
Abstract: Die Digitalisierung zeigt Auswirkungen auch auf die moderne Konzeption von Stadten. Unter der Bezeichnung Smart City entwickeln die Verantwortlichen zusammen mit den Stadtplanern und Experten Plattformen, die nicht nur die internen Verwaltungsablaufe, sondern auch die Beziehung zu und das Miteinander zwischen den Stakeholdern einer Stadt verbessern sollen. Dabei entstehen integrative Konzepte, die die City-Governance, Organisation und Technologie bundeln und auf eine einheitliche Zielerreichung hin ausrichten. Im Anschluss an die generische Entwicklung einer Smart City behandelt der Beitrag die spanische Stadt Barcelona als Beispiel fur eine entsprechende Umsetzung. Am Ende werden die Chancen und Risiken dieses Konzeptes zusammenfassend gewurdigt.
1 citations
01 Jan 2020
TL;DR: The proposed model detects appliance usage in particular with reliable accuracy and mining is done purely based on absolute prediction along with clustering models.
Abstract: Rapid evolution of sensing technology and increasing power computation has resulted in the emergence of smart environments with smart health services. Smart environments can generate hundreds of thousands of transactions per day and storage over the long term is a major issue. Therefore smart environment big data is utilized, which stores large volumes of datasets, both structured and unstructured. Healthcare services are recent and challenging aspects in analytics and sensor technology. People migrating from rural areas to urban areas affect healthcare services to a large extent. Due to migration and developing technology, cities around the world are investing in digital transformation, which aims to provide people with a healthier environment. New healthcare applications are based on activity recognition of people and can include wearable or ambient sensors to gather information related to health and human activity. Consumption of energy is analyzed along with the activity pattern of humans by determining the level of appliance usage that relates to human activity. The pattern determined is used to monitor elderly people living alone. The activity monitored can be learned just from appliances and their time usage. The proposed model detects appliance usage in particular with reliable accuracy. Mining is done purely based on absolute prediction along with clustering models.
05 Sep 2021
TL;DR: In this paper, the authors propose a new approach to designing a software for Digital City systems based on a knowledge model of distributed systems for design and testing of devices in the Digital City.
Abstract: The paper proposes a new approach to designing a software for Digital City systems. These systems are built on the basis of wireless sensor networks and implement Internet of Things as a Service (IoTaaS) concept. The approach is based on a proposed knowledge model of distributed systems for design and testing of devices in the Digital City. This approach comprises a specific service-oriented architecture and software prototypes of design and testing tools. The suggested approach increases the automation level of the development process of such systems. It will contribute to reducing time of the development process and operating costs of the developers. The peculiarities of the approach include the use of rules for the interconnection of particular hardware units, on the one hand, and ways of software devices modeling, on the other. Besides, the originality is in application of specific Digital City services by using virtualization tools.
References
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04 Jan 2012
TL;DR: Eight critical factors are identified that form the basis of an integrative framework that can be used to examine how local governments are envisioning smart city initiatives and suggest directions and agendas for smart city research and outlines practical implications for government professionals.
Abstract: Making a city "smart" is emerging as a strategy to mitigate the problems generated by the urban population growth and rapid urbanization. Yet little academic research has sparingly discussed the phenomenon. To close the gap in the literature about smart cities and in response to the increasing use of the concept, this paper proposes a framework to understand the concept of smart cities. Based on the exploration of a wide and extensive array of literature from various disciplinary areas we identify eight critical factors of smart city initiatives: management and organization, technology, governance, policy context, people and communities, economy, built infrastructure, and natural environment. These factors form the basis of an integrative framework that can be used to examine how local governments are envisioning smart city initiatives. The framework suggests directions and agendas for smart city research and outlines practical implications for government professionals.
2,000 citations
"Data oriented view of a smart city:..." refers background in this paper
...al.[5] describes smart city as - a city combining ICT and Web 2....
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12 Jun 2011
TL;DR: A set of the common multidimensional components underlying the smart city concept and the core factors for a successful smart city initiative is identified by exploring current working definitions of smart city and a diversity of various conceptual relatives similar to smart city.
Abstract: This conceptual paper discusses how we can consider a particular city as a smart one, drawing on recent practices to make cities smart. A set of the common multidimensional components underlying the smart city concept and the core factors for a successful smart city initiative is identified by exploring current working definitions of smart city and a diversity of various conceptual relatives similar to smart city. The paper offers strategic principles aligning to the three main dimensions (technology, people, and institutions) of smart city: integration of infrastructures and technology-mediated services, social learning for strengthening human infrastructure, and governance for institutional improvement and citizen engagement.
1,989 citations
TL;DR: The concept of urban computing is introduced, discussing its general framework and key challenges from the perspective of computer sciences, and the typical technologies that are needed in urban computing are summarized into four folds.
Abstract: Urbanization's rapid progress has modernized many people's lives but also engendered big issues, such as traffic congestion, energy consumption, and pollution. Urban computing aims to tackle these issues by using the data that has been generated in cities (e.g., traffic flow, human mobility, and geographical data). Urban computing connects urban sensing, data management, data analytics, and service providing into a recurrent process for an unobtrusive and continuous improvement of people's lives, city operation systems, and the environment. Urban computing is an interdisciplinary field where computer sciences meet conventional city-related fields, like transportation, civil engineering, environment, economy, ecology, and sociology in the context of urban spaces. This article first introduces the concept of urban computing, discussing its general framework and key challenges from the perspective of computer sciences. Second, we classify the applications of urban computing into seven categories, consisting of urban planning, transportation, the environment, energy, social, economy, and public safety and security, presenting representative scenarios in each category. Third, we summarize the typical technologies that are needed in urban computing into four folds, which are about urban sensing, urban data management, knowledge fusion across heterogeneous data, and urban data visualization. Finally, we give an outlook on the future of urban computing, suggesting a few research topics that are somehow missing in the community.
1,290 citations
TL;DR: The information technology foundation and principles for Smarter Cities™ are described, which enables the adaptation of city services to the behavior of the inhabitants, which permits the optimal use of the available physical infrastructure and resources.
Abstract: This paper describes the information technology (IT) foundation and principles for Smarter Cities™. Smarter Cities are urban areas that exploit operational data, such as that arising from traffic congestion, power consumption statistics, and public safety events, to optimize the operation of city services. The foundational concepts are instrumented, interconnected, and intelligent. Instrumented refers to sources of near-real-time real-world data from both physical and virtual sensors. Interconnected means the integration of those data into an enterprise computing platform and the communication of such information among the various city services. Intelligent refers to the inclusion of complex analytics, modeling, optimization, and visualization in the operational business processes to make better operational decisions. This approach enables the adaptation of city services to the behavior of the inhabitants, which permits the optimal use of the available physical infrastructure and resources, for example, in sensing and controlling consumption of energy and water, managing waste processing and transportation systems, and applying optimization to achieve new efficiencies among these resources. Additional roles exist in intelligent interaction between the city and its inhabitants and further contribute to operational efficiency while maintaining or enhancing quality of life.
953 citations
TL;DR: A combined IoT-based system for smart city development and urban planning using Big Data analytics, consisting of various types of sensor deployment, including smart home sensors, vehicular networking, weather and water sensors, smart parking sensors, and surveillance objects is proposed.
701 citations
"Data oriented view of a smart city:..." refers background in this paper
...In [15], the authors have proposed a combined IoT based system for urban planning using big data analytics....
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