加油站車輛來客數變化與農曆年效果分析

Visualization of Gasoline Stations' Customer Numbers and Analysis on Lunar New Year Effects

林淑娟(Shu-Chuan Lin)；熊子維(Tzu-Wei Hsiung)

視覺化 ； 營業處 ； 自營站 ； 時間數列介入函數 ； Visualization ； Business Branches ； Self-Operated gasoline station ； Time Series Intervention Analysis

石油季刊

54卷4期（2018 / 12 / 01）

81 - 94

繁體中文

本文利用台灣中油公司自營站2010年1月1日至2018年9月30日每日的汽車與機車來客數，共計約190萬筆資料，先以視覺化相關易懂圖形，如樹狀圖與文字雲等，幫助快速了解全台9個營業處自營站汽機車來客數的分佈狀況及每週來客數的多寡與相關特性，並得到一些有趣且有意義的結論。另以時間數列介入函數探討9個營業處在10天的農曆假期期間，汽機車來客數的變化情形。依據9個營業處汽機車來客數樣態除可作為公司銷售與輸儲規劃的依據，也可做為挑選促銷活動日期的參考。農曆年假期效果的探討，則可作為加油站在農曆年期間調度的參考。

This research used approximately 1.9 million data of daily customer numbers of cars and motorcycles of CPC Self-Operated gasoline stations from 2010.01.01 to 2018.09.30. First of all, we applied data visualization such as tree maps and word clouds to help quickly understand the distribution of customer numbers of cars and motorcycles between weekdays and 9 business branches. Then we implemented time series intervention analysis on the change of customer numbers of cars and motorcycles during 10-day Lunar New Year holidays. Understanding the distribution of customer numbers of cars and motorcycles of 9 business branches can help the strategy of marketing, transporting and storing. Research about Lunar New Year Effects can be a reference of the policy of storage during the holidays.

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