SMT201 AY2019-20T1 EX2 Tan Wei Long Ryan

Project Objective

In this exercise, you 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:

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

Part One : Map View with Study Area and Target Roads, Buildings, Natural Features, Digital Elevations Layer

In line with our project objectives, we first created a map view with the buildings, roads, natural features and elevation of our target area (Gombak planning subzone)

Buildings: The data of all the buildings was extracted from BBBike@Singapore, from its OSM data sets. To build a disease centre, it needs to be far away from the population to prevent spreading of diseases to the nearby population. As Singapore is highly compact, once the disease hits a population, it can easily spread and is important to keep the disease centre away from nearby population.

Roads: The data of all the roads was extracted from BBBike@Singapore, from its OSM data sets. To build a disease centre, it needs to be close to existing local roads, namely: service roads and tracks to ensure easy transportation of building materials during the construction stage. The targeted roads had to be extracted by 'select features using an expression' to extract the service roads and tracks from the 'type' column.

Natural Conservation: The data of all the buildings was extracted from BBBike@Singapore, from its OSM data sets. The selected site needs to be away from forested land, park and water as when the disease enter the water bodies of Singapore.

Elevation: The elevation data was extracted from NASA's EarthData Search Site, from its Global Digital Elevation Model (GDEM) data set. The selected site needs to avoid slope as this will incur large construction cost as steep slopes involves a lot of cut-and-fills and leads to relatively higher development costs. The higher the value, the higher the elevation of the location , measured in degrees.

Part Two: Proximity Map Layers

Part Three: Criterion Score of Factor Layers

Part Four: Analytical Hierarchical Process Input Matrix & Result Report

Part Five: Suitability Land Lot