Smart Energy Transition: An Evaluation of Cities in South Korea

被引:8
作者
Lim, Yirang [1 ]
Edelenbos, Jurian [2 ]
Gianoli, Alberto [3 ]
机构
[1] Erasmus Univ, Erasmus Grad Sch Social Sci & Humanities EGSH, NL-3062 PA Rotterdam, Netherlands
[2] Erasmus Univ, Erasmus Sch Social & Behav Sci ESSB, NL-3062 PA Rotterdam, Netherlands
[3] Erasmus Univ, Inst Housing & Urban Dev Studies IHS, NL-3062 PA Rotterdam, Netherlands
来源
INFORMATICS-BASEL | 2019年 / 6卷 / 04期
关键词
smart city; smart energy transition; evaluation index; South Korea; CITY; INITIATIVES; MANAGEMENT; FRAMEWORK;
D O I
10.3390/informatics6040050
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页数:20
相关论文
共 52 条
[1]   Architecting and Designing Sustainable Smart City Services in a Living Lab Environment [J].
Alam, Md Tawseef ;
Porras, Jari .
TECHNOLOGIES, 2018, 6 (04)
[2]   The effect of ICT use and capability on knowledge-based cities [J].
Alfaro Navarro, Jose Luis ;
Lopez Ruiz, Victor Raul ;
Nevado Pena, Domingo .
CITIES, 2017, 60 :272-280
[3]  
[Anonymous], 2014, Combination of convolutional feature extraction and support vector machines for radar ATR
[4]  
[Anonymous], 2008, Handbook on Constructing Composite Indicators: Methodology and User Guide
[5]  
Baek N., 2017, KOTI SPEC ED, V2, P13
[6]   A Smart City Initiative: the Case of Barcelona [J].
Bakici, Tuba ;
Almirall, Esteve ;
Wareham, Jonathan .
JOURNAL OF THE KNOWLEDGE ECONOMY, 2013, 4 (02) :135-148
[7]   Digital Infrastructures and Urban Governance [J].
Barns, Sarah ;
Cosgrave, Ellie ;
Acuto, Michele ;
Mcneill, Donald .
URBAN POLICY AND RESEARCH, 2017, 35 (01) :20-31
[8]   Geographies of energy transition: Space, place and the low-carbon economy [J].
Bridge, Gavin ;
Bouzarovski, Stefan ;
Bradshaw, Michael ;
Eyre, Nick .
ENERGY POLICY, 2013, 53 :331-340
[9]   Energy management and planning in smart cities [J].
Calvillo, C. F. ;
Sanchez-Miralles, A. ;
Villar, J. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 55 :273-287
[10]   The role of small cell technology in future Smart City applications [J].
Cimmino, Antonio ;
Pecorella, Tommaso ;
Fantacci, Romano ;
Granelli, Fabrizio ;
Rahman, Talha Faizur ;
Sacchi, Claudio ;
Carlini, Camillo ;
Harsh, Piyush .
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2014, 25 (01) :11-20