XccessPoint Proposal
| Proposal | Proposal | Poster | Application | Research Paper |
Our team's objective is to analyse and determine how these facilities such as transportation, school and healthcare services would impact the accessibility level around HDB.
Social inequality has been the hot topic in recent years as government start to find sustainable ways to tackle the increasing inequality and stratification in Singapore.However, with constant development and improving infrastructure around Singapore, the impact on accessibility has not really been research upon.
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Dataset |
Description |
Data Type |
Source(s) |
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Singapore Regions |
To facilitate urban planning, the Urban Redevelopment Authority (URA) divides Singapore into 5 regions, namely Central, West, North, North-East and East Regions. |
SHP |
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Singapore Planning Area |
Indicative polygon of planning area boundary. To facilitate urban planning, the Urban Redevelopment Authority (URA) divides Singapore into 55 planning areas |
SHP |
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Singapore Planning Subzone |
Indicative polygon of subzone boundary. The Planning Regions are divided into smaller Planning Areas. Each Planning Area is further divided into smaller subzones which are usually centred around a focal point such as neighbourhood centre or activity node. |
SHP |
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HDB |
List of HDB location via postal code |
CSV |
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School facilities |
List of education facilities in Singapore |
CSV,KML |
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Government Markets Hawker Centres |
Contains Address of Hawker Centres in Singapore |
KML |
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Heathcare Facilities |
Contains Address to Healthcare Facilities in Singapore |
Website Information |
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LTA Mrt station |
The layer contains the locations of MRT station exits. |
KML |
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Bus Stops |
All bus stops, bus interchanges, bus terminals in Singapore. |
CSV |
User Interface Prototype
Tools and Data Architecture
- 1. Most of the datasets retrieved provided only addresses, not coordinates. Thus, first we had to geocode each point to get the coordinates.
- 2. Some datasets had CRS WGS84 while some had SVY21. Thus, we had to convert all to SVY21
- 3. Calculating the distance from each of the 8500 houses to each of the 5000 bus stops was computationally impossible. Thus, we had to use Raster to create a radius around each house and calculate distance from that house to the bus stops which lay within the radius to get the closest bus stop
- 4. Plotting 8000 points on a map was very cluttered and not insightful. Thus, we provided the user options to select regions/subzones/towns for better plots
- https://www.researchgate.net/publication/242450034_A_GIS-BASED_MULTI-CRITERIA_ANALYSIS_APPROACH_TO_ACCESSIBILITY_ANALYSIS_FOR_HOUSING_DEVELOPMENT_IN_SINGAPORE/download
- https://www.researchgate.net/publication/221354375_GIS-Based_Spatial_Distribution_and_Evolvement_Analysis_of_Urban_Affordable_Housing_A_Case_Study/download
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