| Title |
Benchmark for Smart Cities |
| ID_Doc |
42163 |
| Authors |
Alsabi, E; Alrwais, L; Alosimai, R; Alrwais, R; Dahanayake, A |
| Title |
Benchmark for Smart Cities |
| Year |
2016 |
| Published |
|
| DOI |
10.3233/978-1-61499-611-8-166 |
| Abstract |
Smart cities make use of ICT in an effective ways to manage their resources to achieve high satisfaction levels for their citizens. The smart city applications are ICT services, they immensely depend on the achievement of characteristics, factors, and indicators to measure the degree of ICT that contribute to provide services. Therefore, the degree of ICT permits the judgment of the level of smartness of a city. This research proposes an enhanced framework to evaluate the smartness of a city based on three functional layers comprising of three smartness measuring factors (SMF). The smart measuring factors include smart infrastructure, smart citizen, smart governance, smart mobility, smart economy, smart lifestyle, smart technology adaptation tendency, smart service integration level, smart response feedback model and ICT Maturity comprise of the umbrella activity. The proposed framework computes the level of efficiency in utilizing city's resources and thus fills the research gap presenting a way to the evaluation of the smart cities. |
| Author Keywords |
Smart City; Smartness Benchmark; Smartness Measuring Factors; Service Integration Level; Smart Mobility; Smart Economy; Layered architecture |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000385790100014 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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