SMT201 AY2019-20G2 Ex2 Mabelle Tham Shiqin

hi Mabelle hope u finish this soon :) jiayous

The Task : Building a National Communicable Disease Quarantine Centre

In this exercise, we are tasked to identify a location suitable for building a National Communicable Disease Quarantine Centre. The selected site must be located at Gombak planning subzone, with a contiguous area of at least 10,000m2 and it must meet the following decision factors:

1. Economic factor: The selected site should avoid steep slope. This is because construction at steep slope tends to involve a lot of cut-and-fill and will lend to relatively higher development cost.

2. Accessibility factor: The selected site should be close to existing local roads, namely: service roads and tracks. This is to ensure easy transportation of building materials during the construction stage.

3. Health risk factor: The selected site should be away from population i.e. housing areas and offices in order to avoid disease spreading to the nearby population.

4. Natural conservation factor: The selected site should be away from forested land, park and water.

Overview

A map layout with four views showing:

the study area and the target roads, the study area and buildings, the study area and the target natural features, the study area and digital elevation, and

Figure 1: Understanding our Study Area, Bukit Gombak

Accessibility Factor - Roads
The selected land lot should preferably be close and easily accessible to local roads, particularly service road and tracks to ensure smooth construction of the National Communicable Disease Quarantine Centre.
As seen in the figure, the target roads are of different thickness to replicate reality where the tracks are are wider and thus are represented bu thicker grey line vectors. A higher concentration of 199 service roads are observed at the north-east section of Gombak. Whereas there are only 2 tracks located towards the south-west portion of Gombak.

Health Risk Factor - Buildings
The selected site should be situated away from population i.e. housing areas and offices in order to avoid disease spreading to the nearby population. Data provided by OpenStreetMap included 7 types of buildings namely clinic, construction site, garage, place of worship, public space, residential area and train station. However 505/527 building 'types' were unknown. After cleaning the data by referring to data available on google, the buildings are then categorised by their type. From the map, we notice that residential buildings are the most common building type in Gombak.

Natural Conservation Factor - Natural Features
The selected site should be away from forested land that's situated in the eastern region of Gombak, parks that are located generally towards the southwest region of Gombak and waterstream in the eastern region of Gombak.

Economic Factor - Digital Elevation
The selected site should avoid steep slope. This is because construction at steep slope tends to involve a lot of cut-and-fill and will lend to relatively higher development cost.

Proximity

A map layout with four views showing: the study area and proximity to target roads layer, the study area and proximity to buildings layer, the study area and proximity to target natural features layer, the study area and slope layer

Figure 2: Proximity Analysis on the Four Factors

Based on the Ranking Model: Ranking Scores,
I derived binary data for the 4 features by using the following criteria.
Accessibility Factor (To Target Roads, Buildings and Natural Features):
Sectioning the features by <= 100m, 100-200m, 200-300m, 300-500m and >500 from target roads consisting of service roads and tracks, buildings in Gombak Area mainly made up of residential buildings and military buildings and Natural Features such as Bukit Batok Town Park, Pheonix and Pavillion Park.

Criterion Scores

A map layout with four views showing the criterion scores of each factor layer

Figure 3: Study Area, Bukit Gombak

Figure 4: Min-Max Method, using Criterion Standardization Techniques

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Analytical Hierarchical Process Input Matrix

Figure 5: Using Analytical Hierarchical Process (AHP)

Raster Calculator to Compile Factors based on AHP

Figure 6: Compiling Standardized Factors

Explanation

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Suitability

Figure 7: Filtering possible suitable land lots by Percentile

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Figure 8: Reclassify (Landlots) by Table

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Figure 9: A Map Layout with the Suitability Land Lot(s)

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Conclusion

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