Difference between revisions of "SMT201 AY2019-20G2 EX2 Siti Salihah Binte Mohamed Rilvan"

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Revision as of 21:46, 9 November 2019

About

Identifying a location suitable for building a national Communicable Disease Quarantine Centre whereby it is located at Gombak. The selected area needs to be at least 10,000-meter square and it has to meet the 4 decision factors - economic factor, accessibility factor, health risk factor and natural conservation factor.

Map Layouts

Siti G2 4Views Normal.PNG

1: Study Area and Target Roads

This gives a rough idea in determining the different areas within Gombak which is highly accessible as the selected site should be close to service roads and tracks. The light green layer refers to the Gombak layer.

2: Study Area and Buildings

This map layout shows where the buildings are located within Gombak. We need to make sure the selected site to build the Communicable Disease Quarantine Centre is far away from the population. When there are buildings, it means the area is densely populated and we should avoid it.

3: Study Area and Target Natural Features

This shows the area within Gombak which are forested, parks or water. Since the selected site needs to be far away from those areas, by looking at this map, we can determine the suitable areas which we can build the quarantine centre by taking the natural conservation factor into consideration.

4:Study area and Digital Elevation

The darker the shade of black, the less steep the slope is and the more suitable the specific area for the building of the quarantine centre. This helps to take the economic factor into consideration.

Map Layouts(Proximity)

Siti G2 4Views Proximity.PNG

1:Study Area and Proximity to Target Roads

The darker the shade of black, the closer the distance of the particular point from service roads and/or tracks. The closer the distance, the more accessible the particular area is, which is what we want when building the quarantine centre as it helps to ensure easy transportation of building materials during the construction stage.

2:Study Area and Proximity to Buildings

The lighter the shade of black, the further the distance of the particular point from buildings. As we need to consider the health risk factor, we need to make sure the quarantine centre will be far away from buildings (as it needs to be far away from the population). In this case, the areas which the colour is the lightest would be the most preferred.

3:Study Area and Proximity to Target Natural Features

Similar to 2, the lighter the shade of black, the further the distance of the particular point from target natural features such as forested land, park and water. As we do not want the building of the new quarantine centre to disrupt the nature reserves, we have to select the site which is far from the target natural features. Thus, the area which the shade of black is lightest (closest to white) is the most preferred.

4:Study Area and Slope

The lighter the shade of black, the steeper the slope in that particular region which is more undesirable. We try to avoid areas which have lighter shades or white in colour as it will lead to higher development cost.

Map Layouts (With Criterion Score)

Siti G2 4Views Criterion.PNG

1:Criterion Score of Accessibility Factor

Factor Which layer is standardised?
Accessibility Factor Proximity of Roads

2:Criterion Score of Health Risk Factor

3:Criterion Score of Natural Conservation Factor

4:Criterion Score of Economic Factor

Analytical Hierarchical Process Input Matrix

AHP Input Matrix:

Siti G2 AHP Part1.PNG

Upon filling up the matrix, we need to make sure the consistency result is below 10% before we proceed:

Siti G2 AHP Part2.PNG

As you can see from the matrix above, I assigned health risk as the most important factor, followed by accessibility, economic and natural conservation. I chose health risk as the most important factor as if it is not fulfilled, it defeats the whole purpose of building a quarantine centre as it is exposed to the population.

Suitability Land Plot

References

1. Master Plan 2014 Subzone Boundary from URA

2. Roads, buildings and natural features data from OpenStreetMap (OSM) data sets

3. ASTER Global Digital Elevation Model (GDEM) dataset jointly prepared by NASA and METI, Japan