Design of an Evaluation System for Disruptive Technologies to Benefit Smart Cities

被引:3
作者
Qiu, Jun [1 ]
Cao, Jing [2 ]
Gu, Xinyi [3 ]
Ge, Zimo [4 ]
Wang, Zhe [1 ]
Liang, Zheng [1 ]
机构
[1] Tsinghua Univ, Sch Publ & Management, Beijing 100084, Peoples R China
[2] China Gezhouba Grp 2 Engn Co Ltd, Chengdu 610091, Peoples R China
[3] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing 100084, Peoples R China
[4] Huaqiao Univ, Int Sch, Quanzhou 362021, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
entropy weight method; analytic hierarchy process; disruptive technologies; smart city; BIG DATA; TRENDS;
D O I
10.3390/su15119109
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Technological empowerment has facilitated the development of cities, which have progressed from pre-industrial to industrial to information-based and are currently transitioning towards the advanced stage of smart cities. The evolution and transformation of cities are fuelled by technology, which serves as a key driver. Disruptive technologies are radically scientific innovations that dramatically change the way consumers, businesses, and industries operate by destroying the value of existing technical competencies, thereby providing organisations with the capability or technical foundation to alter their business environments. To ensure that a city has a clear understanding of its smart city development direction, it is crucial to establish a scientifically valid and reliable evaluation index and method to analyse and recognise the disruptive technologies closely related to industrial development, transformation, and competitiveness in smart cities. However, there is a paucity of study on this topic. This paper addresses this research gap by developing a framework for disruptive technology identification and evaluation for smart cities using an entropy weight method and analytic hierarchy process. The evaluation index system contains 5 primary indicators and 11 secondary indicators according to the connotation of disruptive technologies in smart cities. The feasibility and effectiveness of the proposed framework are verified in the field of information science. This study provides technical knowledge and theoretical support for the evaluation and construction of smart cities.
引用
收藏
页数:17
相关论文
共 27 条
[1]  
Altshuller G. S., 1999, The innovation algorithm: TRIZ, systematic innovation and technical creativity
[2]  
[Anonymous], SMART CIT DIG SOL MO
[3]   Smart cities of the future [J].
Batty, M. ;
Axhausen, K. W. ;
Giannotti, F. ;
Pozdnoukhov, A. ;
Bazzani, A. ;
Wachowicz, M. ;
Ouzounis, G. ;
Portugali, Y. .
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2012, 214 (01) :481-518
[4]   Blockchain for smart cities: A review of architectures, integration trends and future research directions [J].
Bhushan, Bharat ;
Khamparia, Aditya ;
Sagayam, K. Martin ;
Sharma, Sudhir Kumar ;
Ahad, Mohd Abdul ;
Debnath, Narayan C. .
SUSTAINABLE CITIES AND SOCIETY, 2020, 61
[5]  
Bruneckiene J., 2014, PUBLIC POLICY ADMIN, V13, P469, DOI [10.5755/j01.ppaa.13.3.8301, DOI 10.5755/J01.PPAA.13.3.8301]
[6]  
Bughin J., 2010, McKinsey Quarterly, V56, P1, DOI DOI 10.1109/MC.2012.358
[7]  
Chourabi H., 2012, 2012 45th Hawaii International Conference on System Sciences (HICSS), P2289, DOI 10.1109/HICSS.2012.615
[8]  
Christensen C.M., 2016, INNOVATORS DILEMMA N
[9]   The Use of IoT Technology in Smart Cities and Smart Villages: Similarities, Differences, and Future Prospects [J].
Cvar, Nina ;
Trilar, Jure ;
Kos, Andrej ;
Volk, Mojca ;
Duh, Emilija Stojmenova .
SENSORS, 2020, 20 (14) :1-20
[10]   An approach for generating design scheme of new market disruptive products driven by function differentiation [J].
Guo, Jing ;
Tan, Runhua ;
Sun, Jianguang ;
Cao, Guozhong ;
Zhang, Liyan .
COMPUTERS & INDUSTRIAL ENGINEERING, 2016, 102 :302-315