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Methodology
MCE (Multi-Criteria Evaluation) technique was used to help determine the most suitable areas for a Chinese restaurant.
In MCE technique, criteria are classified into two types, factors and constraints. Factors are conditions that enhance or detract from the suitability of a specific alternative for the activity under consideration. Factors can be rescaled to a continuous scale of suitability from 0 (the least suitable) to 255 (the most suitable). Constraints serve to limit the alternatives under consideration. Constraints are expressed in the Boolean form, 0 (unsuitable) or 1 (suitable). All the constraints and factors can be established through Macro Modeler in Idrisi. Click to see Macro Modler.
In this project the constraints and factors are:
Landuse_reclass Constraint:The restaurants must be located in commercial or commercial - residential/mixed areas.
| Macro Modeler Procedure: |
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| Reclass file: |
| DESCRIPTION | Old Value | New Value |
| Transportation, Communication and Utilitie | 0 | 0 |
| Lakes and Water Bodies | 1 | 0 |
| Open and Undeveloped | 2 | 0 |
| Recreation and Protected Natural Areas | 3 | 0 |
| Protected Watershed | 4 | 0 |
| Residential - Rural | 5 | 0 |
| Residential - Single Family | 6 | 0 |
| Industrial - Extractive | 7 | 0 |
| Institutional | 8 | 0 |
| Commercial | 9 | 1 |
| Residential - Townhouse and Low-rise Apart | 10 | 0 |
| NA | 11 | 0 |
| Industrial | 12 | 0 |
| Commercial - Residential/Mixed | 13 | 1 |
| Agricultural | 14 | 0 |
| Harvesting and Research | 15 | 0 |
| Residential - High-rise Apartments | 16 | 0 |
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| Input: gvrd_lu map |
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Output: landuse_reclass map |
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| (Click on an image to enlarge.) |
Chinese_density Factor:The restaurant had better be located in the areas with high Chinese population density.
| Macro Modeler Procedure: |
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| Factor standardization: |
| Membership Function Shape | Membership Function Type | Control Points |
| Monotonically increasing | Sigmoidal | a:0; b:2000 |
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| Input: chinese_pop map |
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Output: chinese_fuzzy map |
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| (Click on an image to enlarge.) |
Family_income Factor:The restaurant had better be located in the areas with high family income.
| Macro Modeler Procedure: |
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| Factor standardization: |
| Membership Function Shape | Membership Function Type | Control Points |
| Monotonically increasing | Sigmoidal | a:0; b:100000 |
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| Input: family_income map |
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Output: income_fuzzy map |
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| (Click on an image to enlarge.) |
Commercial_CenterDist Factor:The restaurant had better be within 1000 m of Downtown Vancouver, or Metrotown in Burnaby, or Richmond Center, or Coquitlam Center or Surrey Centre.
| Macro Modeler Procedure: |
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| Factor standardization: |
| Membership Function Shape | Membership Function Type | Control Points |
| Monotonically decreasing | Sigmoidal | c:1000; d:39422 |
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| Commercial_center_distance map |
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Output: ccenter_fuzzy map |
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| (Click on an image to enlarge.) |
Skytrain_stationDist Factor:The restaurant should be within 500 m of any Skytrain station.
| Macro Modeler Procedure: |
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| Factor standardization: |
| Membership Function Shape | Membership Function Type | Control Points |
| Monotonically decreasing | Sigmoidal | c:500; d:47087 |
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| Skytrain_distance map |
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Output: Skytrain_station_fuzzy map |
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| (Click on an image to enlarge.) |
BusExchange_centerDist Factor Factor:The restaurant should be within 500 m of any bus exchange center.
| Macro Modeler Procedure: |
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| Factor standardization: |
| Membership Function Shape | Membership Function Type | Control Points |
| Monotonically decreasing | Sigmoidal | c:500; d:36735 |
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| BusExchange_center_distance map |
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Output: BusExchange_center_fuzzy map |
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| (Click on an image to enlarge.) |
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