Geoscience Reference
In-Depth Information
Table 1
Spatial indicators formula
Standards
Score
Terminals and stations for public transportation (TS)
A = Numbers of integrated public transportation terminals
[3
3
2-3
2
\1
1
Tourism attraction area and recreation centres (TR)
A = Numbers of attraction area and recreational centres
[5
3
2-5
2
\2
1
Area prone to flooding (FA)
Score = (A/B) 9 100
\10 %
3
A = Total population live in the area prone to flooding
10-20 %
2
B = Total population of the research area
[20 %
1
Grade A business premises (GA)
Score = (A/B) 9 100
[70 %
3
A = Numbers of grade A food business premises in research area
30-70 %
2
B = Numbers of food business premises assessed in research area
\30 %
1
Provision to public open space (OS)
Score = (1,000/B) 9 A
[1.5 ha
3
A = Total area of open space (hectares) in research area
1-1.5 ha
2
B = Total population in research area
\1ha
1
Centralized sewerage (CS)
Score = (A/B) 9 100
[80 %
3
A = Numbers of residential area getting centralized sewerage service
60-80 %
2
B = numbers of residential area
\60 %
1
Accessibility of community to public facilities (AF)
Score = (A/B) 9 100
[80 %
3
A = Total area of research zone
50-80 %
2
B = Total area of residential within 400 meter radius of public facilities
\50 %
1
Happiness Index (HI)
Score = (A/B) 9 100
[80 %
3
A = Total number of respondents satisfied with daily live and surrounding
40-80 %
2
B = Total number of respondents in study area
\40
1
3.2 Analytical Hierarchy Process for Sustainability
Assessment
Analytical hierarchy process (AHP) is a multi-criteria decision-making (MCDM)
technique. Underlying MCDM principle is that a decision has to be made by
means of analyzing a set of criteria. Saaty (1980) has developed AHP which
models a hierarchical decision problem framework consisting of multi-level cri-
teria having unidirectional relationships. AHP works with such a hierarchy that
can combine both subjective (intangible) and objective (tangible) criteria.
