2020年12月30日星期三

Differentiation max/min example 3

看完下面6 parts視頻你已可掌握DSE的Differentiation.

視頻教學：

Differentiation 入門 part 1 part 1 to part 6

如AP cost 是 4700/km

2020年12月29日星期二

Differentiation max/min example 2

看完下面6 parts視頻你已可掌握DSE的Differentiation.

視頻教學：

Differentiation 入門 part 1 part 1 to part 6

2020年12月28日星期一

Differntiation max/min example

Differentiation 入門 Part 1 to part 6

Video of solution:

Differentiation max/min example

2020年5月20日星期三

2020旅遊與款待科貼題

1.Doxy index of irritation 及 social culture impact.
可能會要考生舉例
或題目提供一個地點的資料要求考生評論。

2.MICE對經濟的直接及間接好處。
設計大型會議(數百人)的餐單。或會議場所要提供的或代客安排事項，例如catering ，WIFI hotspots，交通，臨時接待員工等。

3.GAP model，5 gaps 成因及解決方案。
服務品質控制，
客戶忠誠度成因及提升客戶忠誠度方法。不同因素要用不同方法，（用家滿足感）。

4.各種交通工具例如高鐵，飛機，遊輪在旅遊與款待業的位置。
另類旅遊（深度遊）如生態旅遊，探索旅遊，古跡旅遊，文化旅遊，與其它旅遊的異同如景點，經濟貢獻（當地小店vs國際名店），客源，接待人手要求..,,,。
並以大嶼山為例。

5.主題公園，公園主題及選址在地理上的考慮，如交通人口經濟潛在客源期望的體驗等。
主題公園成功的因素，怎樣才算成功呢？

2020年3月16日星期一

Time lag in base popuplation change, misleading statistics COVID-19

The following is the fatal rate of COVID-19 in China.

Graph A

The above graph (A) shows a convex curve rising from 2% to the current 4%.

The graph (B) below shows a concave curve desending from 14% to 4%.

Graph B

Graph A shows a low inital fatal rate of just 2%.
Graph B says otherwise, a 14% initially.
The hugh difference is the base population of confirmed case.

In graph (A) both the base and the fatal figure starts from Jan 28, 2020.

The fatal figure in graph (B) starts from Feb 7, the base figure starts from Jan 28, 2020.
As the health authority estimated the median of number days a confirmed case fails is 10 to 14 days, so a 12 days lag from the fatal data is used in the base figure.

From graph A the fatal rate is not yet flatten out.

However ,graph B shows that the fatal rate starts to flat out at 4% from Feb 27 onwards.
So the spread of virus may not under contain but the treatment or measure taken to cure the infected patients have kept the fatal rate under control.
On the other hand one should take a deeper look into the seemingly tough 4% line., be it due to age, chronic disease or whatever reason.

So graph A is good for show to your voter at the initial outbreak stage
but graph B is more useful in public health decision making and more presentable to voters.

All Rights Reserved© fengshuileung2020