| 研究生: |
陳威安 Chen, Wei-An |
|---|---|
| 論文名稱: |
空氣汙染與交通事故-以台灣2018-2024年資料為例 Air Pollution and Traffic Accidents – Evidence from Taiwan, 2018-2024 |
| 指導教授: |
劉亞明
Liu, Ya-Ming |
| 學位類別: |
碩士 Master |
| 系所名稱: |
社會科學院 - 經濟學系 Department of Economics |
| 論文出版年: | 2025 |
| 畢業學年度: | 113 |
| 語文別: | 中文 |
| 論文頁數: | 56 |
| 中文關鍵詞: | 空氣汙染 、交通事故 、風險 、迴避行為 、工具變數 |
| 外文關鍵詞: | Air Pollution, Traffic Accident, Risk, Avoidance Behavior, Instrumental Variable |
| 相關次數: | 點閱:56 下載:21 |
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本研究以Sager( 2019)與 Shr et al.( 2023)為基礎,使用2018 年至 2024年台灣行政院環境部空氣品質監測網之氣象資料,結合政府資料開放平台中警政署提供的交通事故資料,以及交通部高速公路局與國營臺灣鐵路股份有限公司的流量資料,探討空氣污染 以 PM2.5為指標)上升是否會影響由違規行為所導致的交通事故發生率,並納入交通流量的影響,進一步檢驗流量是否可能為空氣汙染影響交通事故的途徑之一。本研究採用 Poisson 模型進行估計,並以風向作為工具變數,以解決空氣污染與交通事故間可能存在的內生性問題,同時控制時間與地區的固定效果,以消除不可觀測的異質性干擾。
實證結果顯示,PM2.5濃度上升1 μg/m3,將導致由違規所引起的交通事故下降0.24%。而其中影響兩者之間關連的機制有兩點,1)風險態度改變,污染可能使駕駛者感知環境風險上升,進而改變個體行為,採取更謹慎的駕駛行為,減少違規與粗心導致的事故。2)迴避行為,污染加劇時,人們可能選擇減少非必要出行,導致交通流量下降,進而降低事故發生的可能性。研究也發現 PM2.5在針對不同風險的群體會有不同程度的影響,風險承受度高及低的人對於 PM2.5會有不同的反應。若將事故分地區以及季節來討論,北部地區污染增加會顯著減少事故,中南部則不顯著;秋冬時污染的提高也顯著降低事故發生,春夏影響則不明顯。由此發現北部地區的民眾相對於中南部地區的民眾對於空氣汙染的敏感度較高,且台灣民眾在秋冬空氣污染較嚴重的時間,會有趨避汙染的行為。本研究進一步指出,空氣污染在不同區間對於交通事故的影響效果會有不同,而影響的變化大小取決於研究地區污染程度的差異。若地區本身的汙染程度較低,高汙染日發生的頻率不高,則民眾在面對高汙染日發生時風險態度的改變不明顯,但認知受損的效果仍隨著汙染上升而增加,導致在高汙染區間PM2.5反而不會顯著抑制事故的發生。
Building on the frameworks of Sager (2019) and Shr et al. (2023), this study uses data from 2018 to 2024 to examine the effect of air pollution, measured by PM2.5, on traffic accidents caused by traffic violations in Taiwan, while also incorporating the role of traffic volume as a potential mediating factor. Using a Poisson model and wind direction as an instrumental variable to address potential endogeneity, we control for both time and regional fixed effects.
The results show that a 1 μg/m3 increase in PM2.5 concentration leads to a 0.24% decrease in violation-related traffic accidents. Two primary mechanisms explain this result: (1) changes in risk attitudes—drivers may become more cautious under perceived environmental risk; and (2) avoidance behavior—individuals may reduce non-essential travel during pollution episodes, lowering traffic volume. Heterogeneity analysis reveals that effects vary by region and season, with stronger responses in northern Taiwan and during autumn and winter. Additionally, the relationship between pollution and accidents depends on the baseline pollution level of the area, where higher pollution does not necessarily lead to stronger deterrence due to potential cognitive impairment.
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