| Author: | Chen, Yanchao |
| Title: | Development strategies for smart city based on civilians' demands |
| Advisors: | Wei, Hsi Hsien (BRE) |
| Degree: | M.Sc. |
| Year: | 2020 |
| Subject: | Smart cities Cities and towns -- Effect of technological innovations on City planning City planning -- Public opinion Hong Kong Polytechnic University -- Dissertations |
| Department: | Faculty of Construction and Environment |
| Pages: | [132] pages : illustrations |
| Language: | English |
| Abstract: | Technology has changed the lifestyle for most of people and reformed the urban planning to make cities more inhabitable. Artificial Intelligence enhanced technology promoting smart living environment is one of good examples to benefit human beings. Smart city is a popular subject discussed in several aspects; however, recognition and demands based on civilians' perspective have not been comprehensively explored yet. The research objectives are to explore the civilians' demands and to determine the development strategies for smart cities. Literature review facilitated the structure how to compose the questionnaire using Structure Equation Modeling (SEM). The modified SEM questionnaire, therefore, contained 7 aspects with 64 stems initially. The survey was conducted based on online convenient sampling. There were 511 respondents with 455 valid returns, giving a valid return rate at 89.04%. With the use of AMOS 24.0 software, the hypotheses for SEM all stand under 95% confidence level. After adjusted, the findings show the preference ranking of civilians' demands as well as the base for the strategies for developing a smart city based on their corresponding weights. Two of top three strategies should lie in the improvement for smart care and the other one is associated with sustainable infrastructure and smart transportation. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5197.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.31 MB | Adobe PDF | View/Open |
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