Big Data Utilization, Benefits, and Challenges for Smart City Implementation

2019 ◽  
pp. 42-54 ◽  
Author(s):  
Sonali Vyas ◽  
Deepshikha Bhargava
Keyword(s):  
Big Data ◽  
High Velocity ◽  
Smart City ◽  
Smart Cities ◽  
Digital Information ◽  
Data Utilization ◽  
Performance Quality ◽  
Big Data Applications ◽  
The City ◽  
Advanced Version

With the rapid advancement of technology, everything is transforming into smarter versions. The term smart city means a technologically strengthened and advanced version of the city. Smart cities utilize digital information and techniques for improving services like performance, quality, etc. Big data technology and methods are utilized for handling the vast volume, high velocity and wide variety of data related to cities. This chapter discusses the big data utilization for making smart cities and also throws light on various applications where efficient analysis of services can be carried out using Big Data techniques. The main objective of this chapter will be to provide knowledge of big data implementation for the smart city and its services. This chapter will also investigate various prospects, benefits, and challenges of absorbing big data utilization for smart cities. It will also discuss some case studies related to big data applications for smart city services. It will also propose some open issues related to big data implementation for the smart city.

scholarly journals Managing Large Amounts of Data Generated by a Smart City Internet of Things Deployment

2016 ◽  
Vol 12 (4) ◽  
pp. 22-42 ◽  
Author(s):  
Jorge Lanza ◽  
Pablo Sotres ◽  
Luis Sánchez ◽  
Jose Antonio Galache ◽  
Juan Ramón Santana ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Communication Technologies ◽  
Added Value ◽  
Amount Of Information ◽  
Information And Communication ◽  
The City

The Smart City concept is being developed from a lot of different axes encompassing multiple areas of social and technical sciences. However, something that is common to all these approaches is the central role that the capacity of sharing information has. Hence, Information and Communication Technologies (ICT) are seen as key enablers for the transformation of urban regions into Smart Cities. Two of these technologies, namely Internet of Things and Big Data, have a predominant position among them. The capacity to “sense the city” and access all this information and provide added-value services based on knowledge derived from it are critical to achieving the Smart City vision. This paper reports on the specification and implementation of a software platform enabling the management and exposure of the large amount of information that is continuously generated by the IoT deployment in the city of Santander.

Deconstructing Smart Cities

Big Data ◽  
2016 ◽  
pp. 1957-1969
Author(s):  
Michael Batty
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Smart City ◽  
New Technologies ◽  
Smart Cities ◽  
Public Realm ◽  
The Public ◽  
Important Challenge ◽  
Urban Problems ◽  
The City

This chapter defines the smart city in terms of the process whereby computers and computation are being embedded into the very fabric of the city itself. In short, the smart city is the automated city where the goal is to improve the efficiency of how the city functions. These new technologies tend to improve the performance of cities in the short term with respect to how cities function over minutes, hours or days rather than over years or decades. After establishing definitions and context, the author then explores questions of big data. One important challenge is to synthesize or integrate different data about the city's functioning and this provides an enormous challenge which presents many obstacles to producing coherent solutions to diverse urban problems. The chapter augments this argument with ideas about how the emergence of widespread computation provides a new interface to the public realm through which citizens might participate in rather fuller and richer ways than hitherto, through interactions in various kinds of decision-making about the future city. The author concludes with some speculations as to how the emerging science of smart cities fits into the wider science of cities.

Deconstructing Smart Cities

2014 ◽  
pp. 1-13 ◽  
Author(s):  
Michael Batty
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Smart City ◽  
New Technologies ◽  
Smart Cities ◽  
Public Realm ◽  
The Public ◽  
Important Challenge ◽  
Urban Problems ◽  
The City

This chapter defines the smart city in terms of the process whereby computers and computation are being embedded into the very fabric of the city itself. In short, the smart city is the automated city where the goal is to improve the efficiency of how the city functions. These new technologies tend to improve the performance of cities in the short term with respect to how cities function over minutes, hours or days rather than over years or decades. After establishing definitions and context, the author then explores questions of big data. One important challenge is to synthesize or integrate different data about the city's functioning and this provides an enormous challenge which presents many obstacles to producing coherent solutions to diverse urban problems. The chapter augments this argument with ideas about how the emergence of widespread computation provides a new interface to the public realm through which citizens might participate in rather fuller and richer ways than hitherto, through interactions in various kinds of decision-making about the future city. The author concludes with some speculations as to how the emerging science of smart cities fits into the wider science of cities.

scholarly journals Managing Large Amounts of Data Generated by a Smart City Internet of Things Deployment

2019 ◽  
pp. 870-892
Author(s):  
Jorge Lanza ◽  
Pablo Sotres ◽  
Luis Sánchez ◽  
Jose Antonio Galache ◽  
Juan Ramón Santana ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Communication Technologies ◽  
Added Value ◽  
Information And Communication ◽  
The City ◽  
Specification And Implementation

The Smart City concept is being developed from a lot of different axes encompassing multiple areas of social and technical sciences. However, something that is common to all these approaches is the central role that the capacity of sharing information has. Hence, Information and Communication Technologies (ICT) are seen as key enablers for the transformation of urban regions into Smart Cities. Two of these technologies, namely Internet of Things and Big Data, have a predominant position among them. The capacity to “sense the city” and access all this information and provide added-value services based on knowledge derived from it are critical to achieving the Smart City vision. This paper reports on the specification and implementation of a software platform enabling the management and exposure of the large amount of information that is continuously generated by the IoT deployment in the city of Santander.

scholarly journals Digitization and urban governance: The city as a reflection of its data infrastructure

2021 ◽  
pp. 002085232110332
Author(s):  
Ali Bayat ◽  
Peter Kawalek
Keyword(s):  
Big Data ◽  
Smart City ◽  
Urban Governance ◽  
Smart Cities ◽  
Engaged Scholarship ◽  
Data Governance ◽  
Data Infrastructure ◽  
Big Data Technologies ◽  
Data Infrastructures ◽  
The City

This article introduces the ‘House Model’, an integrated framework consisting of four data governance modes, based on the urban and smart city vision, context, and big data technologies. The model stems from engaged scholarship, synthesizing and extending the academic debates and evidence from existing smart city initiatives. It provides a means for comparing cities in terms of their digitization efforts, helps the planning of more effective urban data infrastructures and guides future empirical research in this area. The article contributes to the literature examining the issue of big data and its governance in local government and smart cities. Points for practitioners Data is a vital part of smart city initiatives. Where the data comes from, who owns it and how it is used are all important questions. Data governance is therefore important and has consequences for the overall governance of the city. The House Model presented in this article provides a means for organizing data governance. It relates questions of data governance to the history and vision of smart city initiatives, and provides a typology organizing these initiatives.

scholarly journals Drone city – power, design and aerial mobility in the age of “smart cities”

2016 ◽  
Vol 71 (2) ◽  
pp. 67-75 ◽  
Author(s):  
Ole B. Jensen
Keyword(s):  
Radio Frequency Identification ◽  
Smart City ◽  
Urban Governance ◽  
Smart Cities ◽  
Data Communication ◽  
Point Of View ◽  
Digital Information ◽  
Aerial Vehicle ◽  
Frequency Identification ◽  
The City

Abstract. This paper address the phenomenon of drones and their potential relationship with the city from the point of view of the so-called “mobilities turn”. This is done in such a way that turns attention to a recent re-development of the “turn” towards design; so the emerging perspective of “mobilities design” will be used as a background perspective to reflect upon the future of drones in cities. The other perspective used to frame the phenomenon is the emerging discourse of the “smart city”. A city of proliferating digital information and data communication may be termed a smart city as shorthand for a new urban condition where cities are networked and connected (as well as disconnected) from the local block to global digital spheres. In the midst of many of the well-known data-creating devices (e.g. Bluetooth, radio-frequency identification (RFID), GPS, smartphone applications) there is a “new kid on the block” that will potentially be a game-changer for urban governance, economics and everyday life. Here we are thinking of the unmanned aerial vehicle or drone as the popular term has it. Therefore, the paper asks how life in “drone city” may play out. Drones may alter the notion of surveillance by means of being mobile, as well as profoundly altering the process and perspective of data collection and feedback to governments, businesses and citizens.

Smart Dashboards for Smart City—A Platform to Engage with Citizen

2019 ◽  
Vol 16 (8) ◽  
pp. 3461-3465 ◽  
Author(s):  
Hemalata Vasudavan ◽  
Sumathi Balakrishnan ◽  
TeeWee Jing ◽  
Kartini Vijay ◽  
Saraswathy Shamini Gunasekaran
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Smart City ◽  
Data Analytics ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Key Indicators ◽  
The City

Smart City is the term composed for a city that aggressively balances itself through ICT based urban solutions and solving multiple problems faced by the ever complex urban lifestyle. Big data analytics is one of the best innovation to process extracted data from this Internet of Things (IoT) Ecosystem of the smart city. In this ecosystem, the communication and engagement with the city residents are very important. The smart dashboard is a hyper connected platform to effectively project the smart city dimension’s performance to stakeholder and residents. Thus creating an instant engagement with the citizens. Although most of the smart cities has been computing all the data gathered in the city using the most sophisticated data analytics tools, it has not effectively interfaced it to the benefit of city residents. A Smart Dashboard is seen as an enabler to the smart city dimensions but many of the current smart dashboards are still elusive and faces many challenges. There will be discussions about the importance of smart dashboard, a list of key indicators and the challenges to implementing this dashboard.

scholarly journals Analisis Big Data untuk Kota Aman

2019 ◽  
Vol 2 (3) ◽  
pp. 203-217
Author(s):  
Setiyono
Keyword(s):  
Big Data ◽  
Smart City ◽  
Prediction Models ◽  
Smart Cities ◽  
City Government ◽  
Average Score ◽  
Maturity Level ◽  
Big City ◽  
Integrative Level ◽  
The City

Abstract—Smart solutions are needed by the city government to overcome various city problems. One solution is smart city. To realize smart city, one of the main challenges is the solution to overcome the city's security problems. Currently cities in Indonesia do not yet know the level of security of their cities. The level of city security can be obtained by surveying various cities. But surveys require personnel, time and cost that is not small. In this study the authors propose a method by designing a model to determine the level of security of cities in Indonesia by utilizing big data through the prediction of sentiment analysis of people's perceptions of city security on Twitter. This research was conducted in 25 cities in Indonesia which are divided into 8 big cities, 9 medium cities and 8 small cities. The results of the prediction models designed in this study are generally not much different from the results of the 2019 RKCI (Indonesia Smart Cities Rating) survey in the field of security and disaster. The results of this study found that 4 cities with a maturity level of security are at the Integrative level (score 60 to 79 in GSCM Maturity Level), namely Tangerang, Kediri, Parepare and Probolinggo, while the other 21 cities are at the Scattered level (score 40 to 59). The average score for the big city category is 55.41, while the middle city score is 55.48 and the small city is 53.70. The results of performance measurement of this prediction model are for an accuracy value of 80.10% while a precision value of 81.10% and a recall value of 82.62%.

scholarly journals Research on the Application of Deep Learning Technology Oriented to the Construction and Innovation of Smart City Image Cognition

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Dan Shi ◽  
Lixin Song
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Urban Planning ◽  
Smart City ◽  
Quantitative Research ◽  
Smart Cities ◽  
Learning Technology ◽  
City Image ◽  
Urban Image ◽  
The City

City image is the observer’s subjective impression of the city image. It is an important content of urban geography and planning research and has important guiding significance for shaping a unique urban space. Cognitive research on traditional urban imagery is mainly by means of questionnaires and image sketches. It has problems such as high cost, low update frequency, and limited data coverage, which cannot meet the needs of quantitative research on smart cities and urban economic development in the information age. With the advent of the era of big data and the development of Internet technology, there are more and more quantitative research results on smart city image cognition with the help of big data and deep learning technology. It will be a feasible way to apply it to urban image research. This article combines the development and transformation of smart cities with the transformation of urban planning and leads to an innovation in the construction of urban image cognition based on urban image, active representation data as the data source, and deep learning as the core technology. The theoretical connotation and cognitive dimension of urban imagery are expanded to establish a cognitive model of urban imagery. The city image is cognitively analyzed from three dimensions: image structure, image type, and image evaluation. Specific cities are taken as examples to verify the applicability and scientificity of the cognitive methods and models, so as to enhance the practicality and applicability of urban imagery in urban planning. At the same time, this research is used to answer the development dilemma of big data, summarize the development trend of big data, and explore the new changes that artificial intelligence brings to urban planning. The experimental results show that the model we designed efficiently evaluates the image of the city and can also effectively recognize the image of the city in the main urban area of Chongqing.

YOUTH EXPECTATIONS OF SMART CITY LIVING: AN IMPORTANCE- PERFORMANCE ANALYSIS OF YOUNG RESIDENTS’ PERSPECTIVES OF CITY GOVERNMENT

2017 ◽  
Vol 14 (1) ◽  
pp. 118-128
Author(s):  
Jason Cohen ◽  
Judy Backhouse ◽  
Omar Ally
Keyword(s):  
Performance Analysis ◽  
Young People ◽  
Smart City ◽  
Smart Cities ◽  
City Government ◽  
Diagnostic Tools ◽  
City Management ◽  
Bottom Up ◽  
Starting Point ◽  
The City

Young people are important to cities, bringing skills and energy and contributing to economic activity. New technologies have led to the idea of a smart city as a framework for city management. Smart cities are developed from the top-down through government programmes, but also from the bottom-up by residents as technologies facilitate participation in developing new forms of city services. Young people are uniquely positioned to contribute to bottom-up smart city projects. Few diagnostic tools exist to guide city authorities on how to prioritise city service provision. A starting point is to understand how the youth value city services. This study surveys young people in Braamfontein, Johannesburg, and conducts an importance-performance analysis to identify which city services are well regarded and where the city should focus efforts and resources. The results show that Smart city initiatives that would most increase the satisfaction of youths in Braamfontein  include wireless connectivity, tools to track public transport  and  information  on city events. These  results  identify  city services that are valued by young people, highlighting services that young people could participate in providing. The importance-performance analysis can assist the city to direct effort and scarce resources effectively.

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