Difference between revisions of "G2-Group08 Proposal"
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| Taiwan Stores || Contains store locations allocated to each group || ESRI Shapefile || Point || Professor Kam, Client || Allocation of Stores, Trade area delineation methods | | Taiwan Stores || Contains store locations allocated to each group || ESRI Shapefile || Point || Professor Kam, Client || Allocation of Stores, Trade area delineation methods | ||
+ | |- | ||
+ | |-style= "background-color:#EDCDC0" | ||
+ | !scope="row" colspan="6"|<b>''Administrative Boundaries''</b> | ||
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| County MOI || Contains boundaries by county || ESRI Shapefile || Polygon || Client || Trade area Digitisation | | County MOI || Contains boundaries by county || ESRI Shapefile || Polygon || Client || Trade area Digitisation |
Revision as of 15:20, 22 November 2019
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. |
There are two main objectives of this project: |
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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 |
NZ地圖.jpg | Location Map for NZ | 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) | Location Map for QD | Powerpoint | Client | Trade area Digitisation |
RM-20190107寬110高110(木)含框 | Location Map for RM | Powerpoint | Client | Trade area Digitisation |
RZ-20190314寬90高119.7(木)含框 | Location Map for RZ | Powerpoint | Client | Trade area Digitisation |
TS-20190624-鋁-寬65高80 | Location Map for TS | Powerpoint | Client | Trade area Digitisation |
UC-20171226寬70高90(鋁) | Location Map for UC | Powerpoint | Client | Trade area Digitisation |
ZH-20190527寬90高88.8(鋁)含框 | Location Map for ZH | Powerpoint | Client | Trade area Digitisation |
ZY | Location Map for ZY | Powerpoint | Client | Trade area Digitisation |
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. |
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. |