| Title | Data Driven Maturity Model for Assessing Smart Cities |
|---|---|
| ID_Doc | 38992 |
| Authors | Korachi, Z; Bounabat, B |
| Title | Data Driven Maturity Model for Assessing Smart Cities |
| Year | 2018 |
| Published | |
| Abstract | Smart cities provide the ability to improve the quality of the citizen's life. Transformation into a smart city consists of defining the way ICT (Information and Communication Technologies) can be used to improve the weaker aspects of the city and improve the quality of services provided by public sectors (education, health, transportation.). The growth of the urban population implies the growing needs of urban services (health, education ...) and resources (water, energy ...). ICT can be used to meet the growing population needs and solve many of today's problems in the private and public sectors (health, transportation, school.). Using mobile phones all citizens produce data and information every day and everywhere, this data will be used to improve the quality of services provided by the city. The quality of the generated data presents the key element that will impact the success of the transformation into a smart city. This paper describes the proposed data quality driven smart cities model. The proposed model, called DQSC-MM (Data Quality Driven Smart Cities Maturity Model). DQSC-MM is used to evaluate the maturity of a smart city based on the quality of produced and consumed data. It suggests a way to measure the importance of data quality in a city's transformation into a smart city. The paper describes how the model was conceived, designed and developed. It describes also a JEE application conceived to support DQSC-MM. The developed application provides the ability to measure data quality and use these measurements for smart city evaluation. |
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