Title |
Smart Cities Oriented Project Planning and Evaluation Methodology Driven by Citizen Perception-IoT Smart Mobility Case |
ID_Doc |
39806 |
Authors |
Luque-Vega, LF; Carlos-Mancilla, MA; Payán-Quiñónez, VG; Lopez-Neri, E |
Title |
Smart Cities Oriented Project Planning and Evaluation Methodology Driven by Citizen Perception-IoT Smart Mobility Case |
Year |
2020 |
Published |
Sustainability, 12, 17 |
DOI |
10.3390/su12177088 |
Abstract |
Smart Cities empower progress through technology integration directed with a strategic approach to sustainable development and citizen well-being. The creation of solid strategic planning boosts the development of infrastructure, innovation, and technology. However, the above can be compromised if citizens are not properly involved; therefore, it is relevant to enhance citizen participation when a new Smart City project appears on the horizon. This work presents a Smart Cities Oriented Project Planning and Evaluation (SCOPPE) Methodology that combines the citizen participation and the Minimum Viable Product creation through adaptive project management. Moreover, since the smart mobility projects represent the first step towards a Smart City, a case of study of an Intelligent Parking System (SEI-UVM) is presented following the SCOPPE Methodology. The application's steps results lead us to key and useful information when defining, designing, and implementing the minimum viable product of the cornerstone device of the SEI-UVM: the Smart Vehicle Presence Sensor (SPIN-V). It is worthwhile to mention that the proposed SCOPPE Methodology could be extended to any Smart City project. |
Author Keywords |
smart city; sustainability; smart mobility; Kano's model; minimum viable product |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
EID |
WOS:000570393000001 |
WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
PDF |
https://www.mdpi.com/2071-1050/12/17/7088/pdf
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