Difference between revisions of "1718t2is415T2 Proposal"

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[[Centroid-Amenities_ProjectDetails|<font color="#fc9272" size=3><b>Project Details</b></font>]]
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<div style="background: #66ff99; padding: 20px; line-height: 0.3em; text-indent: 16px;letter-spacing:0.1em;font-size:26px"><font color=#fbfcfd face="Bebas Neue">Motivation</font></div>
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<b>By 2030, Singapore’s Department of Statistics purports that nearly 1 in 3 Singaporeans will be over the age of 65, and will be in need of some form of eldercare. In the face on the oncoming ‘Silver Tsunami’, it is important that we rethink the placement and accessibility of our gerontological and palliative facilities, so Singaporeans can have access to the care that they need.
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Many existing eldercare facilities are located in the fringes of new town suburbs, and often near regional hospitals which are often further and less accessible from residential areas where the elderly would be.
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Our project posits that future eldercare facilities would be better positioned within the heartlands, to better serve an aging community. In this, we hope to equip town planners and eldercare facility administrators with the tools decide where best to place eldercare facilities.
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<div style="background: #66ff99; padding: 20px; line-height: 0.3em; text-indent: 16px;letter-spacing:0.1em;font-size:26px"><font color=#fbfcfd face="Bebas Neue">Objectives</font></div>
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<b>The goal of this project would be to build a GIS tool (an R Shiny app), to help administrators determine where best to put eldercare amenities based on a geographical cluster analysis as determined by k-means clustering. </b><br>
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<div style="background: #66ff99; padding: 20px; line-height: 0.3em; text-indent: 16px;letter-spacing:0.1em;font-size:26px"><font color=#fbfcfd face="Bebas Neue">Data Sources</font></div>
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<th> Data </th>
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<th> Source </th>
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<th> Data Type/Method
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<td> Population Data </td>
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<td> Singstat.gov.sg </td>
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<td> .csv
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<td> OSM Layer (Singapore) </td>
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<td> OpenStreet Map  </td>
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<td> SHP
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<td> Masterplan 2008 </td>
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<td> data.gov.sg </td>
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<td> SHP
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<div style="text-align: left; direction: ltr; margin-left: 1em;"><font face="Helvetica Neue"; font-size: 100%>Under the Urban Redevelopment Authority (URA) masterplan that was first released in 2008, URA has been making continuous efforts ever since to grow new employment centres outside the current Central Business District (CBD) in Singapore. This initiative has led to the development of Singapore’s second CBD in the areas of Jurong Lake, together with Jurong East. These joint areas known as the Jurong Lake District, aim to replicate the same amount of success, synergy and vibrancy of the first CBD, or even better. For this to be done successfully, our group aims to conduct thorough analysis and evaluations of the factors that made Singapore’s first CBD the success that it is today.                 
 
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[[File: REMGIS PO.PNG|500px|center]]   
 
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<div style="text-align: left; direction: ltr; margin-left: 1em;"><font face="Helvetica Neue"; font-size: 100%>This project aims to achieve the following objectives:
 
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1. Analyze the factors that make Singapore’s CBD successful
 
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  a. Identify and study the make-up of professional services within Singapore’s CBD
 
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  b. Examine the landmarks that contribute to the CBD’s success
 
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  c. Understand the factors that influence business locations
 
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2. Replicate and evaluate Singapore’s CBD success factors to the upcoming second business district - Jurong Lake District
 

Latest revision as of 21:51, 4 February 2018

Filler.png

Project Details

Project Poster

Project Application

Research Paper




Motivation

By 2030, Singapore’s Department of Statistics purports that nearly 1 in 3 Singaporeans will be over the age of 65, and will be in need of some form of eldercare. In the face on the oncoming ‘Silver Tsunami’, it is important that we rethink the placement and accessibility of our gerontological and palliative facilities, so Singaporeans can have access to the care that they need.

Many existing eldercare facilities are located in the fringes of new town suburbs, and often near regional hospitals which are often further and less accessible from residential areas where the elderly would be.

Our project posits that future eldercare facilities would be better positioned within the heartlands, to better serve an aging community. In this, we hope to equip town planners and eldercare facility administrators with the tools decide where best to place eldercare facilities.


Objectives

The goal of this project would be to build a GIS tool (an R Shiny app), to help administrators determine where best to put eldercare amenities based on a geographical cluster analysis as determined by k-means clustering.


Data Sources

Data Source Data Type/Method
Population Data Singstat.gov.sg .csv
OSM Layer (Singapore) OpenStreet Map SHP
Masterplan 2008 data.gov.sg SHP



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