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Open AccessArticle

The Novel Paradigm of Economics Driven for Local Smart Sustain Cities Modeling Using Exploratory Factor Analysis and Planning Technique Using Fuzzy Evaluation Decision Making

1
Graduate School, University of the Thai Chamber of Commerce Graduate School, 126/1 Vibhavadi Rangsit Road, Din Daeng, Bangkok 10400, Thailand
2
School of Engineering, University of the Thai Chamber of Commerce, Bangkok 10400, Thailand
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(3), 793; https://doi.org/10.3390/su12030793
Received: 5 December 2019 / Revised: 29 December 2019 / Accepted: 5 January 2020 / Published: 21 January 2020
(This article belongs to the Special Issue Sustainable Urban Planning Techniques)
The Smart Cities (SCs) models currently widely employed are identical and inconsiderate of Economics Driven (ED), Local Context (LC), and Sustainability (St) factors. These are key factors to driving, constructing, and developing smart cities. This paper presents a process wherein “the Local Smart Sustain Cities Model (LSSCsM)” is combined and modeled with Exploratory Factor Analysis technique (EFA) to design a smart city that fits the local features of a given area. This particular process creates a Smart Cities Model (SCsM) that has unique sustainability and local context factors. This paper also presents the smart cities Priority Action Ranking (PAR) process using Fuzzy Logic Decision Making (FLDM) to evaluate the strengths and weaknesses of each smart city economics driver and characteristic and prioritize the direction planning of each factor and characteristic. The resulting smart cities model can then be used as the foundation of sustainable smart cities that avoid the pitfall of using incompatible smart cities models as the base and consequently failing, thus avoiding the extravagant costs associated with an unsuccessful project of such scale. View Full-Text
Keywords: local context; economics driven; smart cities; sustainability; planning; EFA; fuzzy logic; decision making local context; economics driven; smart cities; sustainability; planning; EFA; fuzzy logic; decision making
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Vasuaninchita, M.; Vongmanee, V.; Rattanawong, W. The Novel Paradigm of Economics Driven for Local Smart Sustain Cities Modeling Using Exploratory Factor Analysis and Planning Technique Using Fuzzy Evaluation Decision Making. Sustainability 2020, 12, 793.

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