Difference between revisions of "G1-Group12 Proposal"

From Geospatial Analytics for Urban Planning
Jump to navigation Jump to search
 
(22 intermediate revisions by 2 users not shown)
Line 1: Line 1:
 +
[[File:G1-GRP12-logo.png|300px| frameless|center|link=G1-Group12 |alt=Hut of the North |Link to G1-Group12]]
 +
 
<div id="mw-content-text" lang="en-GB" dir="ltr" class="mw-content-ltr"><div class="mw-parser-output"><center>
 
<div id="mw-content-text" lang="en-GB" dir="ltr" class="mw-content-ltr"><div class="mw-parser-output"><center>
 
<table style="&quot;background-color:white;" width="&quot;80%&quot;&#124;">
 
<table style="&quot;background-color:white;" width="&quot;80%&quot;&#124;">
Line 26: Line 28:
 
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Project Motivation</b></font></div>
 
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Project Motivation</b></font></div>
  
−
Our aim is to derive insights from profiling trade areas of individual pizza stores, to better understand the characteristics of a trade area that contribute to better sales. We began by digitising and delineating the existing operational trade areas, before analysing the points of interests within these trade areas, and comparing the characteristics of stores with high sales volume to that of stores with low sales volume, to generate insights for our client.
+
<div style="text-align: left;>Our client has multiple resturants across taiwan and each store has varied success across the island. Our client suggests that the differences in store successes can be linked to the different points of interests (POI) in the store vicinity.
 +
 
 +
Therefore, our client wishes to derive insights from profiling trade areas of individual stores, to better understand the characteristics of a trade area that contribute to better sales. Our team is given 13 out of the 240 stores in Taiwan, all 13 located in Taipei.
 +
 
 +
We began by digitising and delineating the existing operational trade areas, before analysing the POIs within these trade areas, and comparing the characteristics of stores with high sales volume to that of stores with low sales volume, to generate insights for our client. In the future, our client can look for areas with similar favourable characteristics to consider opening a new store there.
 +
</div>
  
 
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Project Objectives</b></font></div>
 
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Project Objectives</b></font></div>
−
Add project Objectives here
+
<div style="text-align: left;>The objective of our project is to conduct an analysis on 13 stores in Taiwan to give useful insights that will aid us in creating an effective business strategy. All 13 stores are located within New Taipei City, and the respective trade areas cover majority of the city. In our analysis, our aim is to find any correlation between the sales of each store with POIs within their trade areas. We would compare the stores with higher sales with the stores with lower sales to identify which POIs in the trade areas that best explain the difference in sales. Based on our findings, we would make recommendations to our client.
 +
</div>
 +
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Data Collection</b></font></div>
  
−
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Data Collection</b></font></div>
+
{| class="wikitable" style="color:black; background-color:#f4f4f4;"
 +
|-
 +
!style= "text-align:left; background-color: #DCDCDC"| Data File !! style= "text-align:left;background-color: #DCDCDC"| Description !! style= "text-align:left;background-color: #DCDCDC"| Data Format !! style= "text-align:left;background-color: #DCDCDC"| Purpose
 +
|-
 +
|-style= "background-color: #FFFFF0"
 +
!scope="row" colspan="4" style= "background-color: #DCDCDC"|<b>''GeoPackage''</b>
 +
|-
 +
| Taiwan_stores || Contains geo-coded stores || .gpkg || Find location of our stores
 +
|-
 +
|-style= "background-color: #FFFACD"
 +
!scope="row" colspan="4" style= "background-color: #DCDCDC"|<b>''Administrative Boundaries''</b>
 +
|-
 +
|-
 +
| County MOI || Contains county area || .shp || Show boundary
 +
|-
 +
|-
 +
| Town MOI || Contains town area || .shp || Show boundary
 +
|-
 +
|-
 +
|-
 +
|-style= "background-color: #FFFACD"
 +
!scope="row" colspan="4" style= "background-color: #DCDCDC"|<b>''Location Maps''</b>
 +
|-
 +
| CF-20171113寬62高90(鋁) || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| FG-20170523寬83高92(鋁)含框 || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| HF2-20190402 || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| HF-20171228寬80高100(鋁) || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| HF-20190402寬80高100(鋁)-new || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| HS-20150116寬70高92(鋁)含框 || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| HS-20190515寬70高92(鋁)含框 || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| MZ-20170523寬60高60(鋁)含框 || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| PC-20171101寬67高93(鋁) || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| PJ-20171117寬60高90(木) || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| PK-20171107寬61高54(鋁) || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| PS-20171106寬76高90(木)含框 || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| PW-20171114寬90高90(鋁) || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| SD-20171228寬80高54(鋁)含框 || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| TI-20171230寬70高70(鋁) || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
| YS-20171114寬62高90(鋁) || Trade area of store || .pptx || Used to find POIs inside
 +
|-
 +
|-style= "background-color: #FFFACD"
 +
!scope="row" colspan="4" style= "background-color: #DCDCDC"|<b>''Points of Interest ''</b>
 +
|-
 +
| Business || Contains locations of businesses  || .shp || Used for analysis
 +
|-
 +
| CommSvc || Contains locations of community service facilities || .shp || Used for analysis
 +
|-
 +
| EduInsts || Contains locations of education institutions|| .shp || Used for analysis
 +
|-
 +
| Entertn || Contains locations of entertainment facilities || .shp || Used for analysis
 +
|-
 +
| FinInsts || Contains locations of financial institutions  || .shp || Used for analysis
 +
|-
 +
| Hospital || Contains locations of medical facilities || .shp || Used for analysis
 +
|-
 +
| MiscCategories || Contains locations of miscellaneous amenities  || .shp || Used for analysis
 +
|-
 +
| ParkRec || Contains locations of parks and recreational areas || .shp || Used for analysis
 +
|-
 +
| Restrnts || Contains locations of restaurants || .shp || Used for analysis
 +
|-
 +
| Shopping || Contains locations of shopping malls || .shp || Used for analysis
 +
|-
 +
| TransHub || Contains locations of transport hubs || .shp || Used for analysis
 +
|-
 +
| TravDest || Contains locations of travel destinations || .shp || Used for analysis
 +
|-
 +
|}
  
  
 
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Scope Of Work</b></font></div>
 
<div style="background: #6495ED; padding: 20px; line-height: 0.3em; text-indent: 0px;letter-spacing:0.01em;font-size:26px"><font color=#000000 face="Arial"><b>Scope Of Work</b></font></div>
−
 
+
Our team has been allocated 13 Stores in Taipei shown in the map below.
−
[[File:Scope.jpg|600px|frame|center]]
+
[[File:Scope2.jpg|760px|center]]
−
 
+
<div style="text-align: left;>The 13 store codes are as follows:</div>
 
{| style="text-align: center;center;background: #093066; color: white; width: 30%;"
 
{| style="text-align: center;center;background: #093066; color: white; width: 30%;"
−
! style="width: 35px;" | County
+
! style="width: 35px;" | Region
 
! style="width: 10px;" | Store Code
 
! style="width: 10px;" | Store Code
 
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 
|-style="text-align: left; text-indent: 15px;background: white; color: black"
Line 56: Line 147:
 
* TI
 
* TI
 
* YS
 
* YS
 +
|}
 +
<div style="text-align: left;>The 32 chosen Points of Interests out of all the POIs are as follows:</div>
 +
{| style="text-align: center;left;background: #093066; color: white; width: 30%;"
 +
! style="width: 35px;" | POIs
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|1. ATM, 3578
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|2. BANK, 6000
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|3. BAR OR PUB, 9532
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|4. BOOKSTORE, 9995
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|5. BOWLING CENTRE, 7933
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|6. BUS STATION, 4170
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|7. BUSINESS FACILITY, 5000
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|8. CINEMA, 7832
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|9. CLOTHING STORE, 9537
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|10. COFFEE SHOP, 9996
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|11. COMMUTER RAIL STATION, 4100
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|12. CONSUMER ELECTRONICS STORE, 9987
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|13. CONVENIENCE STORE, 9535
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|14. DEPARTMENT ,9545
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|15. GOVERNMENT OFFICE, 9525
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|16.GROCERY STORE, 5400
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|17.HIGHER EDUCATION, 8200
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|18. HOSPITAL, 8060
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|19. HOTEL, 7011
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|20. INDUSTRIAL ZONE, 9991
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|21. MEDICAL SERVICE, 9583
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|22. NIGHTLIFE, 5813
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|23. PERFORMING ARTS, 7929
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|24. PHARMACY, 9565
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|25. RESIDENTIAL AREA/BUILDING, 9590
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|26. RESTAURANT, 5800
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|27. SCHOOL, 8211
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|28. SHOPPING, 6512
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|29. SPECIALITY STORE, 9567
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|30. SPORTS CENTRE, 7997
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|31. SPORTS COMPLEX, 7940
 +
|-style="text-align: left; text-indent: 15px;background: white; color: black"
 +
|32. TRAIN STATION, 4013
 
|}
 
|}
  

Latest revision as of 14:06, 28 October 2019

Hut of the North

Home

Proposal

Poster

Web Maps

Project Report

Project Motivation
Our client has multiple resturants across taiwan and each store has varied success across the island. Our client suggests that the differences in store successes can be linked to the different points of interests (POI) in the store vicinity.

Therefore, our client wishes to derive insights from profiling trade areas of individual stores, to better understand the characteristics of a trade area that contribute to better sales. Our team is given 13 out of the 240 stores in Taiwan, all 13 located in Taipei.

We began by digitising and delineating the existing operational trade areas, before analysing the POIs within these trade areas, and comparing the characteristics of stores with high sales volume to that of stores with low sales volume, to generate insights for our client. In the future, our client can look for areas with similar favourable characteristics to consider opening a new store there.

Project Objectives
The objective of our project is to conduct an analysis on 13 stores in Taiwan to give useful insights that will aid us in creating an effective business strategy. All 13 stores are located within New Taipei City, and the respective trade areas cover majority of the city. In our analysis, our aim is to find any correlation between the sales of each store with POIs within their trade areas. We would compare the stores with higher sales with the stores with lower sales to identify which POIs in the trade areas that best explain the difference in sales. Based on our findings, we would make recommendations to our client.
Data Collection
Data File Description Data Format Purpose
GeoPackage
Taiwan_stores Contains geo-coded stores .gpkg Find location of our stores
Administrative Boundaries
County MOI Contains county area .shp Show boundary
Town MOI Contains town area .shp Show boundary
Location Maps
CF-20171113寬62高90(鋁) Trade area of store .pptx Used to find POIs inside
FG-20170523寬83高92(鋁)含框 Trade area of store .pptx Used to find POIs inside
HF2-20190402 Trade area of store .pptx Used to find POIs inside
HF-20171228寬80高100(鋁) Trade area of store .pptx Used to find POIs inside
HF-20190402寬80高100(鋁)-new Trade area of store .pptx Used to find POIs inside
HS-20150116寬70高92(鋁)含框 Trade area of store .pptx Used to find POIs inside
HS-20190515寬70高92(鋁)含框 Trade area of store .pptx Used to find POIs inside
MZ-20170523寬60高60(鋁)含框 Trade area of store .pptx Used to find POIs inside
PC-20171101寬67高93(鋁) Trade area of store .pptx Used to find POIs inside
PJ-20171117寬60高90(木) Trade area of store .pptx Used to find POIs inside
PK-20171107寬61高54(鋁) Trade area of store .pptx Used to find POIs inside
PS-20171106寬76高90(木)含框 Trade area of store .pptx Used to find POIs inside
PW-20171114寬90高90(鋁) Trade area of store .pptx Used to find POIs inside
SD-20171228寬80高54(鋁)含框 Trade area of store .pptx Used to find POIs inside
TI-20171230寬70高70(鋁) Trade area of store .pptx Used to find POIs inside
YS-20171114寬62高90(鋁) Trade area of store .pptx Used to find POIs inside
Points of Interest
Business Contains locations of businesses .shp Used for analysis
CommSvc Contains locations of community service facilities .shp Used for analysis
EduInsts Contains locations of education institutions .shp Used for analysis
Entertn Contains locations of entertainment facilities .shp Used for analysis
FinInsts Contains locations of financial institutions .shp Used for analysis
Hospital Contains locations of medical facilities .shp Used for analysis
MiscCategories Contains locations of miscellaneous amenities .shp Used for analysis
ParkRec Contains locations of parks and recreational areas .shp Used for analysis
Restrnts Contains locations of restaurants .shp Used for analysis
Shopping Contains locations of shopping malls .shp Used for analysis
TransHub Contains locations of transport hubs .shp Used for analysis
TravDest Contains locations of travel destinations .shp Used for analysis


Scope Of Work

Our team has been allocated 13 Stores in Taipei shown in the map below.

Scope2.jpg
The 13 store codes are as follows:
Region Store Code
New Taipei
  • CF
  • FG
  • HF
  • HS
  • MZ
  • PC
  • PJ
  • PK
  • PS
  • PW
  • SD
  • TI
  • YS
The 32 chosen Points of Interests out of all the POIs are as follows:
POIs
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 ,9545
15. GOVERNMENT OFFICE, 9525
16.GROCERY STORE, 5400
17.HIGHER EDUCATION, 8200
18. HOSPITAL, 8060
19. HOTEL, 7011
20. INDUSTRIAL ZONE, 9991
21. MEDICAL SERVICE, 9583
22. NIGHTLIFE, 5813
23. PERFORMING ARTS, 7929
24. PHARMACY, 9565
25. RESIDENTIAL AREA/BUILDING, 9590
26. RESTAURANT, 5800
27. SCHOOL, 8211
28. SHOPPING, 6512
29. SPECIALITY STORE, 9567
30. SPORTS CENTRE, 7997
31. SPORTS COMPLEX, 7940
32. TRAIN STATION, 4013


Project Schedule
Gantt.jpg
Retrieved from ‘https://wiki.smu.edu.sg/1920t1smt201/index.php?title=G1-Group12_Proposal&oldid=6032’