天氣因子對捷運搭乘意願影響－以台北捷運為例

隨著現今科技不斷進步，對於大量數據的收集及分析，已不再是重大難題，如何從中萃取出能影響人們更頻繁的使用台灣的大眾運輸工具的因素，進而利用某些因素給予大眾更多的動機搭乘大眾運輸。基於政府近年來致力於提供公開資料平台，而中央氣象局也公開各種天氣的資料，加上台北市捷運局提供各站旅運量資料，所以可以利用中央氣象台的歷年天氣資料以及台北市捷運局的旅運量資料做數據分析，找出天氣因子對搭乘捷運量的影響，並希望藉由分析結果可幫助做決策，讓大眾更有動力的搭乘大眾運輸工具。利用台北捷運旅運量資料做為應變數（Response），搭配氣象資料做為因子自變數（Covariate），將各天氣變數進行分類以及做探索，藉由SPSS做統計分析，像是多元迴歸分析，找出各自變數是否對台北捷運搭乘量有顯著的影響，找出影響的因子後，再加以分析。

關鍵字

天氣因素；大眾運輸；台北捷運；搭乘量

並列摘要

With the continuous advancement of technology today, the collection and analysis of large amounts of data is no longer a major problem. How to extract the factors that can affect people's more frequent use of Taiwan's public transportation vehicle is important. Since the government has been committed to providing a public information platform in recent years, and the Central Meteorological Bureau has also published various weather information, and the Taipei City MRT Bureau provides travel traffic information for each station, it is possible to use the weather data of the Central Meteorological Observatory and Taipei City Express The transportation data of the Transportation Bureau is used for data analysis to find out the influence of weather factors on the amount of MRT rides, and hopes that the analysis results can help make decisions and make the public more motivated to take public transportation. Use the Taipei MRT travel volume data as the response number, and use the weather data as the factor independent variable (Covariate) to classify and explore each weather variable, and use SPSS for statistical analysis, such as multiple regression analysis To find out whether their respective variables have a significant impact on the Taipei MRT ride volume, find out the influencing factors, and then analyze them.