Difference between revisions of "G2-Group08 Proposal"

From Geospatial Analytics for Urban Planning
Jump to navigation Jump to search
Line 106: Line 106:
 
| PM-20171124寬84高76(鋁) || Location Map for PM || Powerpoint || Client || Trade area Digitisation
 
| PM-20171124寬84高76(鋁) || Location Map for PM || Powerpoint || Client || Trade area Digitisation
 
|-
 
|-
−
| Example || Example || Example || Example || Trade area Digitisation
+
| QD-20180913寬80高100(木) || Example || Powerpoint || Client || Trade area Digitisation
 
|-
 
|-
−
| Example || Example || Example || Example || Trade area Digitisation
+
| RM-20190107寬110高110(木)含框 || Example || Powerpoint || Client || Trade area Digitisation
 
|-
 
|-
−
| Example || Example || Example || Example || Trade area Digitisation
+
| RZ-20190314寬90高119.7(木)含框 || Example || Powerpoint || Client || Trade area Digitisation
 
|-
 
|-
−
| Example || Example || Example || Example || Trade area Digitisation
+
| TS-20190624-鋁-寬65高80 || Example || Powerpoint || Client || Trade area Digitisation
 
|-
 
|-
−
| Example || Example || Example || Example || Trade area Digitisation
+
| UC-20171226寬70高90(鋁) || Example || Powerpoint || Client || Trade area Digitisation
 
|-
 
|-
−
| Example || Example || Example || Example || Trade area Digitisation
+
| ZH-20190527寬90高88.8(鋁)含框 || Example || Powerpoint || Client || Trade area Digitisation
 
|-
 
|-
−
| Example || Example || Example || Example || Trade area Digitisation
+
| Example || Example || Example || Powerpoint || Client || Trade area Digitisation
 
|-
 
|-
−
| Example || Example || Example || Example || Trade area Digitisation
+
| Example || Example || Example || Powerpoint || Client || Trade area Digitisation
 
|}
 
|}
  

Revision as of 14:41, 22 November 2019

Kaohsiung .png


HOME

PROPOSAL

POSTER

WEBMAPS

PROJECT REPORT




Project Motivation

As part of our module, Geographic Information Systems for Urban Planning, we are collaborating with an international food chain to analyse 15 trade areas located in Taiwan's Kaohsiung and Ping Tung region. The international food chain currently uses manual methods of delineating their trade area which is largely time consuming. Therefore we aim to propose new and faster methods using QGIS to delineate the trade area. We will also be analysing the points of interest (POI) within each trade area to determine correlation between the POIs and sales revenue. The results of this project will provide the international food chain with the necessary geographic data analysis to make an informed decision regarding their sales and marketing strategy.




Project Objectives

There are two main objectives of this project:
1. To find the most suitable and efficient trade area delineation method
2. To analyse and generate insights into the current trade areas with respect to the selected points of interest and sales revenue




Data
Name Description Data Format Geographic Representation Source Used in
Taiwan Stores Contains store locations allocated to each group ESRI Shapefile Point Professor Kam, Client Allocation of Stores, Trade area delineation methods
County MOI Contains boundaries by county ESRI Shapefile Polygon Client Trade area Digitisation
Town MOI Contains boundaries by town ESRI Shapefile Polygon Client Trade area Digitisation
Village MOI Contains boundaries by village ESRI Shapefile Polygon Client Trade area Digitisation
CK-20190624寬109cm長130 Location Map for trade area CK Powerpoint NIL Client Trade area Digitisation
JK-20190314寬83高72(木)含框 Location Map for trade area JK Powerpoint NIL Client Trade area Digitisation
Village MOI Contains boundaries by village Powerpoint NIL Client Trade area Digitisation

Location Maps

Name Description Data Format Source Used in
CK-20190624寬109cm長130 Location Map for trade area CK Powerpoint Client Trade area Digitisation
JK-20190314寬83高72(木)含框 Location Map for trade area JK Powerpoint Client Trade area Digitisation
KS20190823(外送範圍) Location Map for Kang Sang - 2 Powerpoint Client Trade area Digitisation
LJ-20171030寬89高120(木)含框 Location Map for Lujhu Powerpoint Client Trade area Digitisation
NJ-20150902寬100高90(木) Location Map for NJ Powerpoint Client Trade area Digitisation
PM-20171124寬84高76(鋁) Location Map for PM Powerpoint Client Trade area Digitisation
QD-20180913寬80高100(木) Example Powerpoint Client Trade area Digitisation
RM-20190107寬110高110(木)含框 Example Powerpoint Client Trade area Digitisation
RZ-20190314寬90高119.7(木)含框 Example Powerpoint Client Trade area Digitisation
TS-20190624-鋁-寬65高80 Example Powerpoint Client Trade area Digitisation
UC-20171226寬70高90(鋁) Example Powerpoint Client Trade area Digitisation
ZH-20190527寬90高88.8(鋁)含框 Example Powerpoint Client Trade area Digitisation
Example Example Example Powerpoint Client Trade area Digitisation
Example Example Example Powerpoint Client Trade area Digitisation




Scope of Work

As part of our module, Geographic Information Systems for Urban Planning, our group will be taking on a business profiling project in collaboration with an international F&B chain. For our project, we will be focusing on the company's outlets in Taiwan, in particular the west region and most of which are located in Kaohsiung city. Hence, we are covering a total of 15 outlets in which each outlet is surrounded by a trade area.

Our main objective is to extract the total number of Point of Interests (POIs) within each trade area. This would allow us to determine the likelihood of customers dining at a particular outlet. The results of this project will provide the F&B chain with the necessary geographic data analysis to make an informed decision regarding their sales and marketing strategy.




Project Schedule

As part of our module, Geographic Information Systems for Urban Planning, our group will be taking on a business profiling project in collaboration with an international F&B chain. For our project, we will be focusing on the company's outlets in Taiwan, in particular the west region and most of which are located in Kaohsiung city. Hence, we are covering a total of 15 outlets in which each outlet is surrounded by a trade area.

Our main objective is to extract the total number of Point of Interests (POIs) within each trade area. This would allow us to determine the likelihood of customers dining at a particular outlet. The results of this project will provide the F&B chain with the necessary geographic data analysis to make an informed decision regarding their sales and marketing strategy.


Retrieved from ‘https://wiki.smu.edu.sg/1920t1smt201/index.php?title=G2-Group08_Proposal&oldid=11696’