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Title Discussion on the Key Success Factors of Developing Smart Eco-city based on Analytic Hierarchy Process
ID_Doc 79168
Authors Huang, ZB; Gao, J; Liu, RJ
Title Discussion on the Key Success Factors of Developing Smart Eco-city based on Analytic Hierarchy Process
Year 2019
Published Ekoloji, 28, 107
DOI
Abstract Today, with the rapid increase of urban population, the organization and governance within the city have been completely changed, and the city has become an important force for innovation and economic growth. In the face of the challenges of urbanization, all major cities in the world have nowhere in the economic, cultural, environmental and other fields to enhance the city's competitiveness and create a livable life and pro-business environment to attract talents and capital. The development of cities is increasingly influenced by the concept of a smart eco-city. This study takes Shanghai as a sample and distributes the questionnaire to the general public in Shanghai. The study distributed questionnaires by random sampling. 300 questionnaires were distributed in this study, and 256 valid questionnaires were collected, with a recovery rate of 85%. The results of the study: 1. The most important facet is "smart citizen". The second most important aspects are "smart technology", "smart governance" and "smart environment". 2. The top five indicators that are most valued are: (1) knowledge sharing, accounting for 0.101 of the overall weight; (2) information literacy, accounting for 0.090 of the overall weight; (3) The guidance mechanism accounts for 0.082 of the overall weight; (4) the artificial intelligence application, which accounts for 0.080 of the overall weight; (5) the cloud computing service, which accounts for 0.072 of the overall weight. Based on the results, it is expected to help relevant government departments to effectively plan and promote smart eco-cities to highlight the city's superiority and enhance urban competitiveness.
Author Keywords government development; smart eco-city; artificial intelligence; key success factors
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000461678300190
WoS Category Ecology
Research Area Environmental Sciences & Ecology
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