Difference between revisions of "G1-Group11 Proposal"

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| style="text-align: center; border-top:solid #1b2fc4; border-bottom:solid #1b2fc4" width="250px" | [[G1-Group11|<font color="black"><strong>HOME</strong></font>]]
 
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| style="text-align: center; border-top:solid #1b2fc4; border-bottom:solid #1b2fc4" width="250px" | [[G1-Group11 Poster|<font color="black"><strong>POSTER</strong></font>]]
 
| style="text-align: center; border-top:solid #1b2fc4; border-bottom:solid #1b2fc4" width="250px" | [[G1-Group11 Poster|<font color="black"><strong>POSTER</strong></font>]]
| style="text-align: center; border-top:solid #1b2fc4; border-bottom:solid #1b2fc4" width="250px" | [[G1-Group11 WebApps|<font color="black"><strong>WEB APPS</strong></font>]]
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| style="text-align: center; border-top:solid #1b2fc4; border-bottom:solid #1b2fc4" width="250px" | [[G1-Group11 WebMaps|<font color="black"><strong>WEB MAPS</strong></font>]]
 
| style="text-align: center; border-top:solid #1b2fc4; border-bottom:solid #1b2fc4" width="250px" | [[G1-Group11 Report|<font color="black"><strong>RESEARCH PAPER</strong></font>]]
 
| style="text-align: center; border-top:solid #1b2fc4; border-bottom:solid #1b2fc4" width="250px" | [[G1-Group11 Report|<font color="black"><strong>RESEARCH PAPER</strong></font>]]
 
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==<div style="border-bottom:solid #fc7b03; padding: 20px; line-height: 0em; font-size:20px;  text-align: center;" width="900px"><font color=#1b2fc4 face="Georgia">Why Woodlands?</font></div>==
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==<div style="border-bottom:solid #fc7b03; padding: 20px; line-height: 0em; font-size:20px;  text-align: center;" width="900px"><font color=#1b2fc4 face="Georgia">Why Ang Mo Kio?</font></div>==
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Figure 1
 
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Despite being a Woodlands is a mature housing estate, one with more amenities and better accessibility, Woodlands still has immense potential for development - to be shaped as the regional centre and being the key economic hub in the Northern Region. Furthermore, looking at the demographic breakdown of Woodlands from Figure 1, the economically active group makes up the bulk of the population. Given that Singapore is experiencing a greying population, we need to keep in mind that it is this group (most Woodlands residents, 41,650 are in the 50-59 age group) who would be part of the aged group soon.  
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Ang Mo Kio is the 8th most populated planning area in the entire city state. Despite being a mature housing estate, one with more amenities and better accessibility, Ang Mo Kio still has immense potential for development. Situated in the North-East region of Singapore, Ang Mo Kio is home to an estimated 143,800 HDB residents, and has around 50,733 flats. Referring to and drawing valuable insights from the 2019 draft masterplan, we would then provide suggestions to better cater to the needs of the residents.
 
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Woodlands consists of 9 subzones (Greenwood Park, Midview, North Coast, Senoko West, Woodgrove, Woodlands East, Woodlands Regional Centre, Woodlands South, Woodlands West).  
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Ang Mo Kio has 12 planning subzones - Ang Mo Kio New Town, Cheng San, Chong Boon, Kebun Baru, Sembawang Hills, Shangri-La, Tagore, Towsville, Yio Chu Kang, Yio Chu Kang East, Yio Chu Kang North and Yio Chu Kang West.  
  
 
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Latest revision as of 18:00, 26 November 2019

Ang Mo logo.jpg
HOME PROPOSAL POSTER WEB MAPS RESEARCH PAPER


Project Motivation

With a size of 724 square kilometers, half that of London, Singapore is a city state with limited land space. As such, careful and stringent planning is needed to make the best use of current available planning areas. The Singapore population is forecasted to grow to 6.52 million in 2035. We must now ask if current infrastructure and facilities can support this increase in population which would exert pressures on homes, amenities and public spaces.

Furthermore, delving into each population group, specifically the young, working class and the aged we see the changes in existing and projected trends of each of these age groups. With changing needs, it is all the more integral that governmental bodies take the forefront and implement land use changes in accordance with these needs.

We will be utilizing data gathered from open sources to better understand the needs and plug in the necessary gaps, and after which providing suggestions for land use optimization. After careful evaluation of the 2008/2014 masterplan, this analysis aims to provide insights that the URA can draw on to better aid them in crafting a more comprehensive 2019 Master Plan.

Why Ang Mo Kio?

Ang Mo Kio is the 8th most populated planning area in the entire city state. Despite being a mature housing estate, one with more amenities and better accessibility, Ang Mo Kio still has immense potential for development. Situated in the North-East region of Singapore, Ang Mo Kio is home to an estimated 143,800 HDB residents, and has around 50,733 flats. Referring to and drawing valuable insights from the 2019 draft masterplan, we would then provide suggestions to better cater to the needs of the residents.

Ang Mo Kio has 12 planning subzones - Ang Mo Kio New Town, Cheng San, Chong Boon, Kebun Baru, Sembawang Hills, Shangri-La, Tagore, Towsville, Yio Chu Kang, Yio Chu Kang East, Yio Chu Kang North and Yio Chu Kang West.

Project Objective

In this analysis, we compared the 2008 and 2014 URA Masterplan - with a vision of an inclusive, liveable and economically vibrant city state. Through this we identified changes in landuse and would be proceeding to project changes to the 2019 Masterplan.

The basis on which the changes would be made would be based on the analysis of
A quantitative analysis : Projected population changes of the different age groups (Young, Economically Active, Elderly) which then means change in needs
A qualitative analysis: A deeper delve into the different areas (Green Spaces, amenities,transport, housing) to better cater to the residents needs

The project would do the following:

  • Identify a planning area (Woodlands) and its subzones
  • Collecting data from relevant sources (Data.gov, URA, LTA, HDB) to drive planning
  • Geocode data on to QGIS and using GIS to determine the optimal location for a certain facility

Data

Infrastructure

Data Source Format
Planning Area 2008 https://data.gov.sg/dataset/master-plan-2008-planning-area-boundary-no-sea SHP
Land Use 2008 https://data.gov.sg/dataset/mp08-land-use SHP
Subzones and Age Group Based on 2008 MP https://data.gov.sg/dataset/singapore-residents-by-subzone-age-group-and-sex-june-2010-gender SHP
Planning Area 2014 https://data.gov.sg/dataset/master-plan-2014-planning-area-boundary-no-sea SHP
Land Use 2014 https://data.gov.sg/dataset/master-plan-2014-land-use SHP
Subzones and Age Group Based on 2014 MP https://data.gov.sg/dataset/singapore-residents-by-subzone-age-group-and-sex-june-2016-gender SHP
Buildings 2014 https://data.gov.sg/dataset/master-plan-2014-building SHP
Coastal Outline https://data.gov.sg/dataset/national-map-polygon SHP

Transport

Data Source Format
Bus Stops https://www.mytransport.sg/content/mytransport/home/dataMall/search_datasets.html?searchText=bus%20stop SHP
Train Stations https://www.mytransport.sg/content/mytransport/home/dataMall/search_datasets.html?searchText=train SHP
Cycling https://www.mytransport.sg/content/mytransport/home/dataMall/search_datasets.html?searchText=cycling SHP
Taxi Stand https://www.mytransport.sg/content/mytransport/home/dataMall/search_datasets.html?searchText=taxi%20stand SHP
Footpath https://www.mytransport.sg/content/mytransport/home/dataMall/search_datasets.html?searchText=foot%20path SHP

Housing

Data Source Format
HDB https://data.gov.sg/dataset/hdb-property-information CSV
Landed Housing https://data.gov.sg/dataset/sdcp-landed-housing-area SHP
Friendly Buildings https://data.gov.sg/dataset/friendly-buildings KML

Amenities and Facilities

Data Source Format
Community Centres https://data.gov.sg/dataset/community-clubs KML
Hawker Centre https://data.gov.sg/dataset/hawker-centres KML
Supermarket https://www.onemap.sg/main/v2/themes SHP
Disability Service https://data.gov.sg/dataset/disability-services SHP
Gyms https://data.gov.sg/dataset/gymssg KML
Clinics https://data.gov.sg/dataset/chas-clinics KML
Parks https://data.gov.sg/dataset/parks SHP
Eldercare Service https://data.gov.sg/dataset/eldercare-services SHP
Schools https://data.gov.sg/dataset/school-directory-and-information SHP
Banking Facilities https://www.onemap.sg/main/v2 SHP

Population

Data Source Format
Population Structure (by age) https://www.tablebuilder.singstat.gov.sg/publicfacing/createDataTable.action?refId=14911 XLSX


Scope of Work

Project Scope.png

Project Schedule

Schedule1.png


Schedule2.png