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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06 Nov 2012
TL;DR: A location-based and preference-aware recommender system that offers a particular user a set of venues within a geospatial range with the consideration of both: user preferences and social opinions, which are automatically learned from her location history.
Abstract: The popularity of location-based social networks provide us with a new platform to understand users' preferences based on their location histories. In this paper, we present a location-based and preference-aware recommender system that offers a particular user a set of venues (such as restaurants) within a geospatial range with the consideration of both: 1) User preferences, which are automatically learned from her location history and 2) Social opinions, which are mined from the location histories of the local experts. This recommender system can facilitate people's travel not only near their living areas but also to a city that is new to them. As a user can only visit a limited number of locations, the user-locations matrix is very sparse, leading to a big challenge to traditional collaborative filtering-based location recommender systems. The problem becomes even more challenging when people travel to a new city. To this end, we propose a novel location recommender system, which consists of two main parts: offline modeling and online recommendation. The offline modeling part models each individual's personal preferences with a weighted category hierarchy (WCH) and infers the expertise of each user in a city with respect to different category of locations according to their location histories using an iterative learning model. The online recommendation part selects candidate local experts in a geospatial range that matches the user's preferences using a preference-aware candidate selection algorithm and then infers a score of the candidate locations based on the opinions of the selected local experts. Finally, the top-k ranked locations are returned as the recommendations for the user. We evaluated our system with a large-scale real dataset collected from Foursquare. The results confirm that our method offers more effective recommendations than baselines, while having a good efficiency of providing location recommendations.
691 citations
"Data oriented view of a smart city:..." refers methods in this paper
...Bao, Zheng and Mokbel have presented a location based and preference aware recommender system in their paper [12], using candidate selection algorithm....
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TL;DR: The review reveals that several opportunities are available for utilizing big data in smart cities; however, there are still many issues and challenges to be addressed to achieve better utilization of this technology.
Abstract: Many governments are considering adopting the smart city concept in their cities and implementing big data applications that support smart city components to reach the required level of sustainability and improve the living standards. Smart cities utilize multiple technologies to improve the performance of health, transportation, energy, education, and water services leading to higher levels of comfort of their citizens. This involves reducing costs and resource consumption in addition to more effectively and actively engaging with their citizens. One of the recent technologies that has a huge potential to enhance smart city services is big data analytics. As digitization has become an integral part of everyday life, data collection has resulted in the accumulation of huge amounts of data that can be used in various beneficial application domains. Effective analysis and utilization of big data is a key factor for success in many business and service domains, including the smart city domain. This paper reviews the applications of big data to support smart cities. It discusses and compares different definitions of the smart city and big data and explores the opportunities, challenges and benefits of incorporating big data applications for smart cities. In addition it attempts to identify the requirements that support the implementation of big data applications for smart city services. The review reveals that several opportunities are available for utilizing big data in smart cities; however, there are still many issues and challenges to be addressed to achieve better utilization of this technology.
682 citations
"Data oriented view of a smart city:..." refers background in this paper
...In [7], the authors have discussed the challenges and opportunities of using big data applications for smart cities....
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...The authors, in their work [7] have mapped the smart city components with big data benefits....
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...Controlled resource utilization – As pointed out by the authors in their work [7], with the use of GIS technology and monitoring systems, it is easier to identify waste points and manage them for efficient utilization of resources like water and energy....
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26 Sep 2011
TL;DR: This paper aims to fill the research gap by building a comprehensive framework to view the smart city movement as innovation comprised of technology, management and policy.
Abstract: This paper sees a smart city not as a status of how smart a city is but as a city's effort to make itself smart. The connotation of a smart city represents city innovation in management and policy as well as technology. Since the unique context of each city shapes the technological, organizational and policy aspects of that city, a smart city can be considered a contextualized interplay among technological innovation, managerial and organizational innovation, and policy innovation. However, only little research discusses innovation in management and policy while the literature of technology innovation is abundant. This paper aims to fill the research gap by building a comprehensive framework to view the smart city movement as innovation comprised of technology, management and policy. We also discuss inevitable risks from innovation, strategies to innovate while avoiding risks, and contexts underlying innovation and risks.
626 citations
10 Aug 2015
TL;DR: This paper forecasts the reading of an air quality monitoring station over the next 48 hours, using a data-driven method that considers current meteorological data, weather forecasts, and air quality data of the station and that of other stations within a few hundred kilometers.
Abstract: In this paper, we forecast the reading of an air quality monitoring station over the next 48 hours, using a data-driven method that considers current meteorological data, weather forecasts, and air quality data of the station and that of other stations within a few hundred kilometers. Our predictive model is comprised of four major components: 1) a linear regression-based temporal predictor to model the local factors of air quality, 2) a neural network-based spatial predictor to model global factors, 3) a dynamic aggregator combining the predictions of the spatial and temporal predictors according to meteorological data, and 4) an inflection predictor to capture sudden changes in air quality. We evaluate our model with data from 43 cities in China, surpassing the results of multiple baseline methods. We have deployed a system with the Chinese Ministry of Environmental Protection, providing 48-hour fine-grained air quality forecasts for four major Chinese cities every hour. The forecast function is also enabled on Microsoft Bing Map and MS cloud platform Azure. Our technology is general and can be applied globally for other cities.
351 citations
"Data oriented view of a smart city:..." refers background in this paper
...More details can be found in their work [13]....
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TL;DR: This article proposes a procedure to make smart cities happen based on big data exploitation through the API stores concept and describes the available ICT technologies and exemplifies all findings by means of a sustainable smart city application.
Abstract: We have a clear idea today about the necessity and usefulness of making cities smarter, the potential market size, and trials and tests. However, it seems that business around Smart Cities is having difficulties taking off and is thus running short of projected potentials. This article looks into why this is the case and proposes a procedure to make smart cities happen based on big data exploitation through the API stores concept. To this end, we first review involved stakeholders and the ecosystem at large. We then propose a viable approach to scale business within that ecosystem. We also describe the available ICT technologies and finally exemplify all findings by means of a sustainable smart city application. Over the course of the article, we draw two major observations, which are seen to facilitate sustainable smart city development. First, independent smart city departments (or the equivalent) need to emerge, much like today's well accepted IT departments, which clearly decouple the political element of the improved city servicing from the underlying technologies. Second, a coherent three-phase smart city rollout is vital, where in phase 1 utility and revenues are generated; in phase 2 only-utility service is also supported; and in phase 3, in addition, a fun/leisure dimension is permitted.
216 citations
"Data oriented view of a smart city:..." refers background in this paper
...In [8], the authors have shown how big data is a promising field to exploit smart city solutions....
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...Companies like IBM and CISCO have already launched smart city platforms over big data framework [8]....
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