Difference between revisions of "G2-Group10 Proposal"

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<!--PROJECT MOTIVATION TEXT-->
 
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TEST
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<br>
  
 +
The group was tasked to work on a business profiling project for one of the biggest world-wide fast food chains, with a primary focus on its outlets in Taiwan. The chain has close to 240 outlets all over Taiwan and we’ll be focusing on 13 outlets which are based in Taoyuan, Taiwan.
 +
 +
Our group is excited to embark on this project as it gives us an opportunity to apply the knowledge that we have learned during the module in a real-life context. Though circumstances are more unpredictable and data is less regulated and with high complexity, our group aims to overcome these problems and deliver high-quality insights for our client.
 +
 +
Based on the Taoyuan's Government strategic plans to attract foreign investors.
 +
Thus, our group views this as the perfect opportunity for our client to capitalize on with the increase in population.
  
 
<br>
 
<br>
Line 51: Line 57:
 
* Create profiles of customers using 5 cluster for each trade area (To target the largest customer)
 
* Create profiles of customers using 5 cluster for each trade area (To target the largest customer)
 
* Analyze POIs of each trade area of each store to see if it affects sales (e.g. Proximity of stores)
 
* Analyze POIs of each trade area of each store to see if it affects sales (e.g. Proximity of stores)
 +
 +
With geographic information systems software QGIS, we’ll be able to precisely plot and delineate the trade area boundaries and compile information to help the restaurant in their decision analysis.
 +
 +
By the end of the project, we hope to be able to share a few key deliverables with our client, mainly
 +
<br>
 +
1. Project Proposal<br>
 +
2. Project Poster<br>
 +
3. Web Maps<br>
 +
4. Project Report<br>
  
 
<br>
 
<br>
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<!--SCOPE OF WORK TEXT-->
 
−
TEST
 
−
[[File:Untitled.jpg|600px|frameless|center]]
 
−
As the client has many outlets located all over Taiwan, each group is allocated 13-15 stores to work on for the trade area analysis. Our group was allocated the outlets within Taoyuan City (桃园市), as shown in the map above. The stores include,
 
−
 
 
{| class="wikitable"
 
{| class="wikitable"
 
|-
 
|-
−
! Store Code !! Store Name !! Total Trade Area <br>
+
! Data File name !! Description !! File format !! Usage
−
總區塊 !! No. of Household <br>
+
|-
−
總戶數
+
!colspan="6"| Admin Boundary
 +
|-
 +
| County MOI || Admin Boundary|| Shapefile (.shp) || -Nil-
 +
|-
 +
| Town MOI || Admin Boundary || Shapefile (.shp) || -Nil-
 +
|-
 +
| Village MOI || Admin Boundary || Shapefile (.shp) || For digitizing reference
 +
|-
 +
| Taiwan Stores || Includes all Taiwan stores || Shapefile (.shp) || To extract our stores from our group (G2G10)
 +
|-
 +
!colspan="6"| Powerpoint Map
 +
|-
 +
| CZ-20171122寬等比高100(木) || Map of Store CZ || Powerpoint (.pptx) || For trade area digitization
 +
|-
 +
| DU-20171122寬90高60(木) || Map of Store DU || Powerpoint (.pptx) || For trade area digitization
 +
|-
 +
| KW-20180424寬90高64(木) || Map of Store KW || Powerpoint (.pptx) || For trade area digitization
 +
|-
 +
| LK-20150817寬110高82(鋁)含框 || Map of Store LK || Powerpoint (.pptx) || For trade area digitization
 +
|-
 +
|-
 +
| NL-20171113寬70高100(鋁) || Map of Store NL || Powerpoint (.pptx) || For trade area digitization
 
|-
 
|-
−
| DU|| 桃園大園店|| 13 || 16414
 
 
|-
 
|-
−
| LK || 林口長庚店 || 13 || 15331
+
| NQ-20181015寬86高104(木)含框 || Map of Store NQ ||Powerpoint (.pptx) || For trade area digitization
 
|-
 
|-
−
| KW || 桃園龜山店 || 20 || 37643
+
| PD-20171122寬75高比例(木)含框 || Map of Store PD || Powerpoint (.pptx) || For trade area digitization
 
|-
 
|-
−
| CZ || 桃園春日店 || Example || Example
 
 
|-
 
|-
−
| Example || Example || Example || Example
+
| RJ-20180925寬75高100(木) || Map of Store RJ || Powerpoint (.pptx) || For trade area digitization
 
|-
 
|-
−
| Example || Example || Example || Example
 
 
|-
 
|-
−
| Example || Example || Example || Example
+
| TE-20180502寬88高61(木) || Map of Store TE || Powerpoint (.pptx) || For trade area digitization
 
|-
 
|-
−
| Example || Example || Example || Example
+
| TK-20171122寬75高105(鋁)|| Map of Store TK || Powerpoint (.pptx) || For trade area digitization
 
|-
 
|-
−
| Example || Example || Example || Example
+
| TE-20180502寬88高61(木) || Map of Store TE || Powerpoint (.pptx) || For trade area digitization
 
|-
 
|-
−
| Example || Example || Example || Example
+
| WL-20171108寬70高76(鋁) || Map of Store WL || Powerpoint (.pptx) || For trade area digitization
 
|-
 
|-
−
| Example || Example || Example || Example
 
 
|-
 
|-
−
| Example || Example || Example || Example
 
 
|-
 
|-
−
| Example || Example || Example || Example
+
!colspan="6"| Point of intrests (POIs) in 'V7AM181F0WV7000AACV0' folder
 
|-
 
|-
−
| Example || Example || Example || Example
+
| Business || Category of POIs || Shapefile (.shp) || To extract POI - BUSINESS FACILITY & INDUSTRIAL ZONE
−
|}
 
  
 +
|-
 +
|-
 +
| CommSvc || Category of POIs  || Shapefile (.shp) || To extract POI - GOVERNMENT OFFICE
  
 +
|-
 +
|-
 +
| EduInsts || Category of POIs  || Shapefile (.shp) || To extract POI - HIGHER EDUCATION & SCHOOL
  
 +
|-
 +
|-
 +
| Entertn || Category of POIs  || Shapefile (.shp) || To extract POI - NIGHTLIFE, CINEMA, PERFORMING ARTS & BAR OR PUB
  
 +
|-
 +
|-
 +
| FinInsts || Category of POIs  || Shapefile (.shp) || To extract POI - ATM & BANK
  
 +
|-
 +
|-
 +
| Hospital || Category of POIs  || Shapefile (.shp) || To extract POI - HOSPITAL & MEDICAL SERVICE
  
 +
|-
 +
|-
 +
| MiscCategories|| Category of POIs  || Shapefile (.shp) || To extract POI - RESIDENTIAL AREA/BUILDING
  
 +
|-
 +
|-
 +
| ParkRec || Category of POIs  || Shapefile (.shp) || To extract POI - BOWLING CENTRE, SPORTS COMPLEX, SPORTS CENTRE
  
 +
|-
 +
|-
 +
| Restrnts || Category of POIs  || Shapefile (.shp) || To extract POI - RESTAURANT & COFFEE SHOP
  
 +
|-
 +
|-
 +
| Shopping || Category of POIs  || Shapefile (.shp) || To extract POI - GROCERY STORE, SHOPPING, CONVENIENCE STORE, CLOTHING STORE, DEPARTMENT STORE, PHARMACY, SPECIALTY STORE, CONSUMER ELECTRONICS STORE & BOOKSTORE
  
−
17
+
|-
−
20963
+
|-
−
NQ
+
| TransHub || Category of POIs  || Shapefile (.shp) || To extract POI - TRAIN STATION, COMMUTER RAIL STATION & BUS STATION
−
桃園南崁店
+
|-
−
10
+
| TravDest || Category of POIs  || Shapefile (.shp) || To extract POI - HOTEL
−
28004
+
|-
−
RJ
+
| Streets || Line of Streets || Shapefile (.shp) || For shortest path analysis
−
桃園南昌店
+
|-
−
7
+
| SecHwys || Line of Secondary highway || Shapefile (.shp) || For shortest path analysis
−
14084
+
|-
−
WL
+
| AltStreets|| Line of alternative streets|| Shapefile (.shp) || For shortest path analysis
−
桃園武陵店
+
|-
−
15
+
| MajHwys || Line of Major highways || Shapefile (.shp) || For shortest path analysis
−
37925
+
|-
−
TD (TK)
 
−
桃園同德店
 
−
13
 
−
29665
 
−
NL
 
−
內壢中華店
 
−
19
 
−
34925
 
−
TE
 
−
桃園桃鶯店
 
−
21
 
−
32697
 
−
PD
 
−
桃園八德店
 
−
15
 
−
32216
 
−
TY
 
−
Missing location map
 
  
 +
!colspan="6"| Excel files
 +
|-
 +
| Store_sales_data || Sales data of all store || Excel file (.csv) || For us to extract sales data for G2G10 stores
 +
|-
 +
|-
 +
| metadata || Information of 32 POIs || Excel file (.xlsx) || To know which 32 POIs to use and instruction of naming convention for attribute table
 +
|-
 +
|}
  
  
  
−
DZ
+
<!--SCOPE OF WORK-->
−
Missing location map
+
{|style="background-color:#F0F8FF; color:#F0F8FF;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0"  |
 +
| style="padding:0.3em; font-size:100%; background-color:#F0F8FF; border-bottom:4px solid #708090; border-top:4px solid #708090; text-align:center; color:#4682B4" width="10%" |
 +
<font color="#5F9EA0" size=2><b>SCOPE OF WORK</b></font>
 +
<!--/SCOPE OF WORK-->
 +
|}
 +
<!--SCOPE OF WORK TEXT-->
  
 +
[[File:Untitled.jpg|600px|frameless|centre]]
 +
<center>
 +
As the client has many outlets located all over Taiwan, each group is allocated 13-15 stores to work on for the trade area analysis. Our group was allocated the outlets within Taoyuan City (桃园市), as shown in the map above. The stores include,
 +
</center>
  
 +
{| class="wikitable" style="margin: auto;"
 +
|-
 +
! Store Code !! Store Name !! Total Trade Area 總區塊 !! No. of Household 總戶數
 +
|-
 +
| DU|| 桃園大園店|| 13 || 16414
 +
|-
 +
| LK || 林口長庚店 || 13 || 15331
 +
|-
 +
| KW || 桃園龜山店 || 20 || 37643
 +
|-
 +
| CZ || 桃園春日店 || 17 || 20963
 +
|-
 +
| NQ || 桃園南崁店 || 10 || 28004
 +
|-
 +
| RJ || 桃園南昌店 || 7 || 14084
 +
|-
 +
| WL || 桃園武陵店 || 15 || 37925
 +
|-
 +
| TD (TK) || 桃園同德店 || 13 || 29665
 +
|-
 +
| NL || 內壢中華店 || 19 || 34925
 +
|-
 +
| TE || 桃園桃鶯店 || 21 || 32697
 +
|-
 +
| PD || 桃園八德店 || 15 || 32216
 +
|-
 +
| TY || Missing location map || - || -
 +
|-
 +
| DZ || Missing location map || - || -
 +
|}
  
 +
<center>
 +
Other than the stores, we are also provided with information of points of interest (POIs). These points of interests will help us strengthen our trade area analysis based on the concentration of facilities in the area.
 +
</center>
 +
<br>
  
 +
{| class="wikitable" style="margin: auto;"
 +
|-
 +
! Facility Description!! Facility Type
 +
|-
 +
| 1. ATM || 3578
 +
|-
 +
| 2. BANK || 6000
 +
|-
 +
| 3. BAR OR PUB || 9532
 +
|-
 +
| 4. BOOKSTORE || 9995
 +
|-
 +
| 5. BOWLING CENTRE || 7933
 +
|-
 +
| 6. BUS STATION || 4170
 +
|-
 +
| 7. BUSINESS FACILITY || 5000
 +
|-
 +
| 8. CINEMA || 7832
 +
|-
 +
| 9. CLOTHING STORE || 9537
 +
|-
 +
| 10. COFFEE SHOP || 9996
 +
|-
 +
| 11. COMMUTER RAIL STATION || 4100
 +
|-
 +
| 12. CONSUMER ELECTRONICS STORE || 9987
 +
|-
 +
| 13. CONVENIENCE STORE || 9535
 +
|-
 +
| 14. DEPARTMENT STORE || 9545
 +
|-
 +
| 15. GOVERNMENT OFFICE || 9525
 +
|-
 +
| 16. GROCERY STORE || 5400
 +
|-
 +
| 17. HIGHER EDUCATION || 8200
 +
|-
 +
| 18. HOSPITAL || 8060
 +
|-
 +
| 19. HOTEL || 7011
 +
|-
 +
| 20. MEDICAL SERVICE || 9583
 +
|-
 +
| 21. PHARMACY || 9565
 +
|-
 +
| 22. RESIDENTIAL AREA/BUILDING || 9590
 +
|-
 +
| 23, RESTAURANT || 5800
 +
|-
 +
| 24. SCHOOL || 8211
 +
|-
 +
| 25. SHOPPING || 6512
 +
|-
 +
| 26. SPORTS CENTRE || 7997
 +
|-
 +
| 27. SPORTS COMPLEX || 7940
 +
|-
 +
| 28. TRAIN STATION || 4013
 +
|}
  
−
Other than the stores, we are also provided with information of points of interests (POIs). These points of interests will help us strengthen our trade area analysis based on the concentration of facilities in the area.
+
<br>
−
 
−
Facility Description
 
−
Facility Type
 
−
1. ATM
 
−
3578
 
−
2. BANK
 
−
6000
 
−
3. BAR OR PUB
 
−
9532
 
−
4. BOOKSTORE
 
−
9995
 
−
5. BOWLING CENTRE
 
−
7933
 
−
6. BUS STATION
 
−
4170
 
−
7. BUSINESS FACILITY
 
−
5000
 
−
8. CINEMA
 
−
7832
 
−
9. CLOTHING STORE
 
−
9537
 
−
10. COFFEE SHOP
 
−
9996
 
−
11. COMMUTER RAIL STATION
 
−
4100
 
−
12. CONSUMER ELECTRONICS STORE
 
−
9987
 
−
13. CONVENIENCE STORE
 
−
9535
 
−
14. DEPARTMENT STORE
 
−
9545
 
−
15. GOVERNMENT OFFICE
 
−
9525
 
−
16. GROCERY STORE
 
−
5400
 
−
17. HIGHER EDUCATION
 
−
8200
 
−
18. HOSPITAL
 
−
8060
 
−
19. HOTEL
 
−
7011
 
−
20. MEDICAL SERVICE
 
−
9583
 
−
21. PHARMACY
 
−
9565
 
−
22. RESIDENTIAL AREA/BUILDING
 
−
9590
 
−
23, RESTAURANT
 
−
5800
 
−
24. SCHOOL
 
−
8211
 
−
25. SHOPPING
 
−
6512
 
−
26. SPORTS CENTRE
 
−
7997
 
−
27. SPORTS COMPLEX
 
−
7940
 
−
28. TRAIN STATION
 
−
4013
 
−
 
  
  
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<!--PROJECT SCHEDULE TEXT-->
 
<!--PROJECT SCHEDULE TEXT-->
−
TEST
+
<br>
 +
[[File:Annotation 2019-10-19 210740.png|1000px|frameless|center]]

Latest revision as of 23:44, 24 November 2019

HOME  

PROJECT PROPOSAL

 

PROJECT POSTER

 

WEB MAPS

  PROJECT REPORT


PROJECT MOTIVATION


The group was tasked to work on a business profiling project for one of the biggest world-wide fast food chains, with a primary focus on its outlets in Taiwan. The chain has close to 240 outlets all over Taiwan and we’ll be focusing on 13 outlets which are based in Taoyuan, Taiwan.

Our group is excited to embark on this project as it gives us an opportunity to apply the knowledge that we have learned during the module in a real-life context. Though circumstances are more unpredictable and data is less regulated and with high complexity, our group aims to overcome these problems and deliver high-quality insights for our client.

Based on the Taoyuan's Government strategic plans to attract foreign investors. Thus, our group views this as the perfect opportunity for our client to capitalize on with the increase in population.


PROJECT OBJECTIVE

To cover trade area analysis in detail through:

  • Delineation of Trade Area of each stores
  • Analyze overlapping trade areas of each stores
  • Analyze buffering zone of each stores
  • Create profiles of customers using 5 cluster for each trade area (To target the largest customer)
  • Analyze POIs of each trade area of each store to see if it affects sales (e.g. Proximity of stores)

With geographic information systems software QGIS, we’ll be able to precisely plot and delineate the trade area boundaries and compile information to help the restaurant in their decision analysis.

By the end of the project, we hope to be able to share a few key deliverables with our client, mainly
1. Project Proposal
2. Project Poster
3. Web Maps
4. Project Report


DATA


Data File name Description File format Usage
Admin Boundary
County MOI Admin Boundary Shapefile (.shp) -Nil-
Town MOI Admin Boundary Shapefile (.shp) -Nil-
Village MOI Admin Boundary Shapefile (.shp) For digitizing reference
Taiwan Stores Includes all Taiwan stores Shapefile (.shp) To extract our stores from our group (G2G10)
Powerpoint Map
CZ-20171122寬等比高100(木) Map of Store CZ Powerpoint (.pptx) For trade area digitization
DU-20171122寬90高60(木) Map of Store DU Powerpoint (.pptx) For trade area digitization
KW-20180424寬90高64(木) Map of Store KW Powerpoint (.pptx) For trade area digitization
LK-20150817寬110高82(鋁)含框 Map of Store LK Powerpoint (.pptx) For trade area digitization
NL-20171113寬70高100(鋁) Map of Store NL Powerpoint (.pptx) For trade area digitization
NQ-20181015寬86高104(木)含框 Map of Store NQ Powerpoint (.pptx) For trade area digitization
PD-20171122寬75高比例(木)含框 Map of Store PD Powerpoint (.pptx) For trade area digitization
RJ-20180925寬75高100(木) Map of Store RJ Powerpoint (.pptx) For trade area digitization
TE-20180502寬88高61(木) Map of Store TE Powerpoint (.pptx) For trade area digitization
TK-20171122寬75高105(鋁) Map of Store TK Powerpoint (.pptx) For trade area digitization
TE-20180502寬88高61(木) Map of Store TE Powerpoint (.pptx) For trade area digitization
WL-20171108寬70高76(鋁) Map of Store WL Powerpoint (.pptx) For trade area digitization
Point of intrests (POIs) in 'V7AM181F0WV7000AACV0' folder
Business Category of POIs Shapefile (.shp) To extract POI - BUSINESS FACILITY & INDUSTRIAL ZONE
CommSvc Category of POIs Shapefile (.shp) To extract POI - GOVERNMENT OFFICE
EduInsts Category of POIs Shapefile (.shp) To extract POI - HIGHER EDUCATION & SCHOOL
Entertn Category of POIs Shapefile (.shp) To extract POI - NIGHTLIFE, CINEMA, PERFORMING ARTS & BAR OR PUB
FinInsts Category of POIs Shapefile (.shp) To extract POI - ATM & BANK
Hospital Category of POIs Shapefile (.shp) To extract POI - HOSPITAL & MEDICAL SERVICE
MiscCategories Category of POIs Shapefile (.shp) To extract POI - RESIDENTIAL AREA/BUILDING
ParkRec Category of POIs Shapefile (.shp) To extract POI - BOWLING CENTRE, SPORTS COMPLEX, SPORTS CENTRE
Restrnts Category of POIs Shapefile (.shp) To extract POI - RESTAURANT & COFFEE SHOP
Shopping Category of POIs Shapefile (.shp) To extract POI - GROCERY STORE, SHOPPING, CONVENIENCE STORE, CLOTHING STORE, DEPARTMENT STORE, PHARMACY, SPECIALTY STORE, CONSUMER ELECTRONICS STORE & BOOKSTORE
TransHub Category of POIs Shapefile (.shp) To extract POI - TRAIN STATION, COMMUTER RAIL STATION & BUS STATION
TravDest Category of POIs Shapefile (.shp) To extract POI - HOTEL
Streets Line of Streets Shapefile (.shp) For shortest path analysis
SecHwys Line of Secondary highway Shapefile (.shp) For shortest path analysis
AltStreets Line of alternative streets Shapefile (.shp) For shortest path analysis
MajHwys Line of Major highways Shapefile (.shp) For shortest path analysis
Excel files
Store_sales_data Sales data of all store Excel file (.csv) For us to extract sales data for G2G10 stores
metadata Information of 32 POIs Excel file (.xlsx) To know which 32 POIs to use and instruction of naming convention for attribute table


SCOPE OF WORK

Untitled.jpg

As the client has many outlets located all over Taiwan, each group is allocated 13-15 stores to work on for the trade area analysis. Our group was allocated the outlets within Taoyuan City (桃园市), as shown in the map above. The stores include,

Store Code Store Name Total Trade Area 總區塊 No. of Household 總戶數
DU 桃園大園店 13 16414
LK 林口長庚店 13 15331
KW 桃園龜山店 20 37643
CZ 桃園春日店 17 20963
NQ 桃園南崁店 10 28004
RJ 桃園南昌店 7 14084
WL 桃園武陵店 15 37925
TD (TK) 桃園同德店 13 29665
NL 內壢中華店 19 34925
TE 桃園桃鶯店 21 32697
PD 桃園八德店 15 32216
TY Missing location map - -
DZ Missing location map - -

Other than the stores, we are also provided with information of points of interest (POIs). These points of interests will help us strengthen our trade area analysis based on the concentration of facilities in the area.


Facility Description Facility Type
1. ATM 3578
2. BANK 6000
3. BAR OR PUB 9532
4. BOOKSTORE 9995
5. BOWLING CENTRE 7933
6. BUS STATION 4170
7. BUSINESS FACILITY 5000
8. CINEMA 7832
9. CLOTHING STORE 9537
10. COFFEE SHOP 9996
11. COMMUTER RAIL STATION 4100
12. CONSUMER ELECTRONICS STORE 9987
13. CONVENIENCE STORE 9535
14. DEPARTMENT STORE 9545
15. GOVERNMENT OFFICE 9525
16. GROCERY STORE 5400
17. HIGHER EDUCATION 8200
18. HOSPITAL 8060
19. HOTEL 7011
20. MEDICAL SERVICE 9583
21. PHARMACY 9565
22. RESIDENTIAL AREA/BUILDING 9590
23, RESTAURANT 5800
24. SCHOOL 8211
25. SHOPPING 6512
26. SPORTS CENTRE 7997
27. SPORTS COMPLEX 7940
28. TRAIN STATION 4013




PROJECT SCHEDULE


Annotation 2019-10-19 210740.png
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