Big data analytics for mitigating carbon emissions in smart cities: opportunities and challenges

Giest, Sarah

doi:10.1080/09654313.2017.1294149

Cited by 110 publications

(53 citation statements)

References 35 publications

(40 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Cities should be open, using channels to communicate with users about intentions, benefits, costs, deadlines and other attributes of an intelligent solution. Openness and exchange of information with users is especially important when errors occur with the service provided so that users do not lose confidence (Giest, 2017).…”

Section: Identification Of the Problem Of Urban Development And The Dmentioning

confidence: 99%

Institutional Support of a Smart City

Samouylov¹,

Popov²,

Semyachkov³

2019

Montenegrin Journal of Economics

View full text Add to dashboard Cite

The purpose of this study is to determine the conditions of institutional support for the digitization of the urban environment. The paper identifies the main features and analyzes the conditions for the effective functioning of smart cities. The main characteristics of the smart city are revealed: they are people-oriented, use data in a digital format and are based on bottom-up innovations. The paper considers the systematization of the principles and ideas of the theory of institutional modeling from the simplest level of modeling, and ending with the most difficult level consisting in describing the evolution of institutions. The importance of applying such an approach to the study of the institutional support of smart cities is shown. As part of the study of the leading cities in the field of building smart urban environment, priorities, institutions and goals of intelligent development have been highlighted. The paper discusses the problems of the development of smart cities in Russia, presents a number of steps to solve them. The theoretical significance of the study consists in the development of approaches to the institutional support of a smart city. The practical significance of the research lies in the formation of possible future studies of rational economic management in the conditions of digital society. JEL classification:R11, O43, O31.

show abstract

Section: Identification Of the Problem Of Urban Development And The Dmentioning

confidence: 99%

Institutional Support of a Smart City

Samouylov¹,

Popov²,

Semyachkov³

2019

Montenegrin Journal of Economics

View full text Add to dashboard Cite

show abstract

“…Smart cities exploit these technologies to provide benefits to citizens. The embedded technology in smart cities enables gathering, processing, and sharing big data so that informed decision-making is possible [5], which eventually enhances efficiency of urban services [7]. Meanwhile, these core technologies are already applied in various urban sectors apart from smart city development.…”

Section: Introductionmentioning

confidence: 99%

“…There are studies on technological solutions such as big data analytics, self-learning, hybrid power systems for energy transition [7,11,12] and IoT, data management and governance, and a living lab for smart city development [3][4][5]18]. These studies provide valuable ideas on an improved energy system and more efficient data management for smart cities.…”

Section: Introductionmentioning

confidence: 99%

Smart Energy Transition: An Evaluation of Cities in South Korea

2019

View full text Add to dashboard Cite

One positive impact of smart cities is reducing energy consumption and CO2 emission through the use of information and communication technologies (ICT). Energy transition pursues systematic changes to the low-carbon society, and it can benefit from technological and institutional advancement in smart cities. The integration of the energy transition to smart city development has not been thoroughly studied yet. The purpose of this study is to find empirical evidence of smart cities’ contributions to energy transition. The hypothesis is that there is a significant difference between smart and non-smart cities in the performance of energy transition. The Smart Energy Transition Index is introduced. Index is useful to summarize the smart city component’s contribution to energy transition and to enable comparison among cities. The cities in South Korea are divided into three groups: (1) first-wave smart cities that focus on smart transportation and security services; (2) second-wave smart cities that provide comprehensive urban services; and (3) non-smart cities. The results showed that second-wave smart cities scored higher than first-wave and non-smart cities, and there is a statistically significant difference among city groups. This confirms the hypothesis of this paper that smart city development can contribute to the energy transition.

show abstract

“…Local government capacity is indeed limited, for many reasons, to arrange data management structures that would allow proper use of big data [10]. One of these reasons is certainly the privacy preserving issue, the integration of new stakeholders and privates into the decision making process, with all the deriving regulatory implications.…”

Section: Enabling Ict Infrastructuresmentioning

confidence: 99%

“…Most published works are indeed based on specific issues in most cases related to digitalization and big data [9,10]. To the knowledge of the authors, there are no papers in the literature comparing so extensively EU and China, with respect to the SC development model and implementation issue.…”

Section: Introductionmentioning

confidence: 99%

A Cross-Reading Approach to Smart City: A European Perspective of Chinese Smart Cities

Sanseverino

Anello

2018

Smart Cities

View full text Add to dashboard Cite

Abstract:The present study, after a literature review of the smart city definitions and ranking tools in Europe and in China, presents a cross-reading approach to the Chinese smart cities concept and implementation. It is indeed nowadays mandatory to re-convert cities in sustainable and smart ecosystems and this can be done with different approaches. In this frame, the role of ICT-the glue of the smart city concept-is central and pervasive. The Smart city model could be a way to reverse the actual trend of cities, re-defining an integrated approach between tangible and intangible infrastructures of cities. Future cities are influenced by two main different visions with different connotations that come along with the planning capacity and with the ability of countries to follow a coherent and sustainable development project. European approach for planning is quite consolidated and based on a long term holistic vision, while Chinese vision is catching up with the dramatic speed of urbanization, deploying critical infrastructures in most cases without a long-term view. On the other hand, Chinese projects are in some cases exemplary for Europe where many constraints and regulatory issues put a strong limitation on the many possible implementations.

show abstract

Big data analytics for mitigating carbon emissions in smart cities: opportunities and challenges

Cited by 110 publications

References 35 publications

Institutional Support of a Smart City

Institutional Support of a Smart City

Smart Energy Transition: An Evaluation of Cities in South Korea

A Cross-Reading Approach to Smart City: A European Perspective of Chinese Smart Cities

Contact Info

Product

Resources

About