SMT201 AY2019-20T1 EX2 Tan Zi Ying

Building a national Communicable Disease Quarantine Centre

1. Economic Factor (study area and digital elevation)
2. Accessibility Factor (study area and target roads)
3. Health Risk Factor (study area and buildings)
4. Natural Conservation Factor (study area and natural)

Data source: Master Plan 2014 Subzone Boundary from URA from data.gov.sg. Roads, buildings and natural features data from OpenStreetMap (OSM) data sets from BBBike@Singapore. ASTER Global Digital Elevation Model (GDEM) dataset jointly prepared by NASA and METI, Japan from NASA’s EarthData Search site complied by Professor Kam

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. The lowest point in Gombak, depicted in red is 8 meters above sea level while the highest point in Gombak, depicted in blue is 143 meters above sea level.

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. As seen in the data, there is more service roads in the North-East of Gombak and the tracks are in the South-West of Gombak.

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. The buildings are mostly in the North and South part of Gombak.

Natural conservation factor

The selected site should be away from forested land, park and water.

Proximity Analysis

1. the study area and proximity to target roads layer
2. the study area and proximity to buildings layer
3. the study area and proximity to target natural features layer
4. the study area and slope layer

Data source: Master Plan 2014 Subzone Boundary from URA from data.gov.sg. Roads, buildings and natural features data from OpenStreetMap (OSM) data sets from BBBike@Singapore. ASTER Global Digital Elevation Model (GDEM) dataset jointly prepared by NASA and METI, Japan from NASA’s EarthData Search site complied by Professor Kam

Criterion Scores of each Factor Layers

Analytical Hierarchical Process Input Matrix and Result Report

Data Source: AHP Template from SCBUK

Data Source: AHP Template from SCBUK

Data Source: AHP Template from SCBUK

Data Source: AHP Template from SCBUK

Comments on the Suitable Land Lot(s) Identified