Difference between revisions of "G1-Group07 Proposal"
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The following smart-city features were used for our analysis: | The following smart-city features were used for our analysis: | ||
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1) Housing | 1) Housing | ||
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2) Transportation | 2) Transportation | ||
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3) Education | 3) Education | ||
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4) Economy | 4) Economy | ||
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5) Healthcare | 5) Healthcare | ||
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6) Environment | 6) Environment | ||
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7) Public Spaces | 7) Public Spaces | ||
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8) Other amenities and facilities (eg shopping centres) | 8) Other amenities and facilities (eg shopping centres) | ||
These 3 population demographics were narrowed down for our analysis: | These 3 population demographics were narrowed down for our analysis: | ||
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1) Young (aged 0-14) | 1) Young (aged 0-14) | ||
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2) Economically active (aged 25 to 64) | 2) Economically active (aged 25 to 64) | ||
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3) Seniors (aged 65 and above) | 3) Seniors (aged 65 and above) | ||
Revision as of 00:23, 16 October 2019
Contents
Proposal
Project Motivation
Singapore, the world’s third most densely populated place with 7148 people per km^2, is a city state with scarce land area of 721.5km^2 and population of 5.8 million people in 2019. With this limited land space, Singapore has to fit all its infrastructural needs such as housing, schools, transport network, parks etc to meet the needs of its people and reach social objectives while preventing overcrowding and balancing the demands for growth with maintaining Singapore’s status as a ‘Garden City’. Urban planning is also important in creating the ground for collaboration between local governments, private sector and public to take ownership of the quality of life in Singapore.
With the importance of urban planning in mind, we are motivated to use Geographic Information Systems to ensure improved urban planning for one of the planning areas in Singapore, Jurong East, by utilizing already collected data such as land use, population demographics and educational facilities as well as primary data.
Project Objectives
Our objective is to identify any gaps that could be closed and effectively recommend changes or new uses of the land in Jurong East to meet the needs of residents, workers and visitors of Jurong East. This is done by using QGIS to integrate various kinds of data together and observe how they interact with one another that could have a huge impact on the quality of life in that particular area.
We first chose to focus on one planning area, Jurong East, to carry out this analysis. The methodology can be scaled up and used on other planning areas in the future to improve the land use of Singapore as a whole.
The following smart-city features were used for our analysis:
1) Housing
2) Transportation
3) Education
4) Economy
5) Healthcare
6) Environment
7) Public Spaces
8) Other amenities and facilities (eg shopping centres)
These 3 population demographics were narrowed down for our analysis:
1) Young (aged 0-14)
2) Economically active (aged 25 to 64)
3) Seniors (aged 65 and above)
About Jurong East
Data Sources
| Data Name | Data Format | Source | |
|---|---|---|---|
| Landuse (2008/2014/2019) | |||
