G2-Group10
| PROJECT PROPOSAL | PROJECT REPORT |
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ABOUT TAO YUAN |
Taoyuan City (桃园市), the industrial and technology hub of Taiwan, is located in the Northern region of Taiwan. It has an area of 1220.95km2, covering over 13 districts. Due to its close proximity and travel convenience to Taipei, the capital of Taiwan, Taoyuan has seen the fastest population growth of all cities in Taiwan.
With the establishment of the inaugural Asia Silicon Valley Development Agency in 2016, the government hopes to be able to foster innovation, promote the IoT sector and attract top-class technology talent. The government also aims to transform Taoyuan into an R&D hub for the IoT sector. Not only is Taoyuan home to many industrial parks and tech company headquarters, it also houses the Taoyuan International Airport, the largest international airport in Taiwan, serving approximately 45million passengers per year.
The strategic location of Taoyuan coupled with government initiatives positioned Taoyuan as an attractive location for foreign investors. With this influx for foreign investment, population continues to expand to leverage on the job opportunities present.
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PROJECT DESCRIPTION |
As part of Singapore Management University Smart City Management and Technology’s programme, our team undertook a module in the Geographic Information Systems and took the chance to collaborate with a fast food chain in Taiwan.
The project aims to analyse trade area of the chain outlets, and their operations in Taiwan. With the given data, we will use geospatial analytics to garner insights and find out interesting trends about their sales and relations with differences in the geographic properties.
This will be done by analysing trade areas of the different branches, taking into account factors such as
- Concentration of different key places of interest
- Geographic differences within the trade area affecting the reach to customers
- Presence of overlapping trade area.
It will be an improvement from the current methods used by the chain as they are imprecise and unsuitable for detailed analysis.
