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  • 會議論文
  • OpenAccess

決勝選址之研究-以便利商店為例

摘要


社會上許多知名連鎖企業對店面地點選擇都有一套嚴謹的評估方式,知名咖啡連鎖店星巴克甚至擁有獨立的擴展部負責選址事宜,由此不難看出地點對門市的重要影響,其中,人口流量、車流量、以及消費水平等皆是選址時需要考量的因素,對於沒有開店經驗的民眾或剛起步之企業來說,需要蒐集哪些相關因素資料作為考量,並如何妥善運用這些資料,替自己找到適合開店的地點是非常困難的。因此,本論文所製作之系統,希望能透過政府所提供的開放資料,分析比較出區域中較適合該店面類型的地點,讓使用者能以較簡單的方式替自己找到一個合適的開店地點。

關鍵字

店面選址 開放資料

並列摘要


Many famous enterprises have their own evaluation approach to decide the store locations, franchise coffee shop - Starbucks even has a development division to be responsible for choosing the store locations. It is not difficult to see the importance of a good place for the development of a shop. Population, traffic, consumption level, and etc. are the factors we need to consider when choosing the store locations. For those who have no startup experience or just started enterprises, what data they need to collect and how to use the data for finding the proper places for their shops is difficult. This paper designs a system which uses the open data provided by the government to analyze and find the best places for a specific shop type in a given range. It gives the users an easier way to find where the best place for their shop is.

並列關鍵字

store location choice open data

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