| Title |
CityDNA: Smart City Dimensions' Correlations for Identifying Urban Profile |
| ID_Doc |
37165 |
| Authors |
Moustaka, V; Vakali, A; Anthopoulos, LG |
| Title |
CityDNA: Smart City Dimensions' Correlations for Identifying Urban Profile |
| Year |
2017 |
| Published |
|
| DOI |
10.1145/3041021.3054714 |
| Abstract |
Smart cities evolve over multiple themes and areas with the development of cyber-physical systems and smart services that address several urban issues regarding economy, mobility, environment, people, living and governance. This evolution has obliged the definition of several conceptualization and evaluation models, which respect alternative smart city perspectives. This work proposes smart city profiling with the introduction of the "CityDNA" model, according which, smart city's dimensions' relevance can be captured and visualized. Based on this model, a smart city's profile can be defined and characterized, under a simple comprehensive view of local needs and challenges. A particular smart city scenario is highlighted as a proof of concept for CityDNA and future design and implementation ideas are identified and justified. |
| Author Keywords |
smart cities; smart mobility; smart economy and mobility; city profiles; DNA structure; Greater London areas; city boroughs |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000712212600194 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Computer Science, Software Engineering; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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