臺灣高鐵—臺灣西部走廊的交通命脈，亦是極為重要的關鍵基礎設施，近期不無頻仍的網際網路恐嚇公眾等危安事件，與相關的刑事犯罪也多有所聞，除了挑戰著警務部門的偵防能量外，也考驗著第一線警隊的應處。本研究主要的研究目的在探討臺灣高鐵配置之鐵路警力數，對臺灣高鐵站轄境之全般刑案發生數的影響。本研究利用2008至2020年、共13年臺灣高鐵八個車站的追蹤資料，採用Moran’s I確認臺灣高鐵站轄境之全般刑案發生數具有空間相依的特性後，本研究採取空間計量模型進行估計。在利用追蹤資料單根檢定判定所有變數皆為定態，以及所有解釋變數沒有共線性與線性重合的關係，以及利用Wald空間延遲檢定、Wald空間誤差檢定、以及Hausman檢定判定本研究最適的實證模型為固定效果空間杜賓模型後，本研究估計該實證模型，並獲得如下結論：一、臺灣高鐵配置之鐵路警力數，對臺灣高鐵站轄境之全般刑案發生數具有負向的影響。二、臺灣高鐵站的旅客人數，對於臺灣高鐵站轄境之全般刑案發生數在統計上具有顯著的正向影響。三、高鐵站所在縣市的青壯年比例，對於臺灣高鐵站轄境之全般刑案發生數在統計上具有顯著的負向影響。四、高鐵站所在縣市的人口密度，對於臺灣高鐵站轄境之全般刑案發生數在統計上具有顯著的負向影響。五、臺灣高鐵站轄境之全般刑案發生數具有正向空間相依性。

Taiwan’s high-speed rail is not only a major way of transportation in western Taiwan, but an important critical infrastructure as well. Incidents on the internet that put the public in fear and other criminal offences related to the rail are heard from time to time. They not merely challenge the capacity of the police department to prevent and investigate, but also test the frontline police officers to first respond and deal with such cases. The main purpose of this study is to explore the influence of the number of railway police forces on the occurrence of all general criminal cases under the jurisdiction of Taiwan's high-speed rail stations. This study uses 13 years of panel data from 2008 to 2020 at eight stations of Taiwan's high-speed rail and confirms that all variables are stationary by using panel unit root test and that all explanatory variables have no collinear and multi-collinearity relationship between and among them. Further, this study also confirms that the total number of criminal cases under the jurisdiction of Taiwan's high-speed rail station has spatially interdependent characteristics by using Moran's I and selects the fixed effects spatial Durbin model as the most appropriate empirical model for this study after conducting Wald spatial lag test, Wald spatial error test, and Hausman test. Therefore, this study estimates the fixed effects spatial Durbin model and obtains the following conclusions：1. The number of railway police forces has a statistically and significantly negative impact on the number of general criminal cases under the jurisdiction of Taiwan's high-speed rail stations.2. The number of passengers at Taiwan's high-speed rail stations has a statistically and significantly positive impact on the number of general criminal cases under the jurisdiction of Taiwan's high-speed rail stations.3. The proportion of young and prime adults in the county and city where the high-speed rail station is located has a statistically and significantly negative statistical impact on the number of general criminal cases under the jurisdiction of Taiwan's high-speed rail stations.4. The population density of the county and city where the high-speed rail station is located has a statistically and significantly negative impact on the number of general criminal cases under the jurisdiction of Taiwan's high-speed rail stations. 5. The number of general criminal cases under the jurisdiction of Taiwan's high-speed rail station has a positive spatial dependence.

壹、中文部分
內政部警政署2021年1月5日警署人字第11000410641號函頒修訂「內政部警政署鐵路警察局與各警察機關權責劃分及工作聯繫要點」。臺北市：內政部警政署。
內政部警政署2021年11月26日警署刑偵字第1100005387號函頒修正「警察偵查犯罪手冊」。臺北市：內政部警政署。
王廷瑜（2013），高鐵車站內竊盜犯罪決意歷程之研究。桃園市：中央警察大學犯罪防治研究所、101學年度未出版碩士論文。
交通部臺灣鐵路管理局（2020），臺灣鐵路統計年報。臺北市：交通部臺灣鐵路管理局。
谷庭（2015），「臺鐵下班通勤最危險 警方鎖定11慣犯」。TVBS新聞網，2015年12月01日。https://news.tvbs.com.tw/life/628226。瀏覽時間：2022年04月30日。
吳永達(2015)，近十年來臺灣犯罪狀況與趨勢。法務部司法官學院犯罪防治研究中心。
呂素蓮、施泰彬(2018)，從犯罪類型探討所得分配不均程度與刑案發生率相關性研究。犯罪與刑事司法研究，30，1-44。
李湧清、蔣基萍（1994），犯罪與經濟－一個宏觀的時間序列分析。警政學報，24，127-146。
李瑞陽、陳勝義（2010），臺中市搶奪犯罪熱點與犯罪區位之空間分析。地理研究，53，23-47。
林明仁、劉仲偉（2006），失業真的會導致犯罪嗎?以臺灣1978-2003年縣市資料為例。經濟論文叢刊，34（4），445-482。
林宏翰（2022），「洛杉磯鐵道垃圾狼籍如第三世界 媒體分析3原因」。中央社，2022年01月21日。https://www.cna.com.tw/news/aopl/202201210185.aspx。瀏覽時間：2022年05月01日。
周愫嫻（1995），暴力犯罪與社會經濟極化現象之關係研究(英)，Violent Crime from Socio-Economic Polarization: A Case Study in Taiwan from 1964 to 1992。警政學報，26，283-302。
周愫嫻（1997），變遷中的犯罪問題與社會控制－台灣經驗。臺北：五南圖書公司。
陳恩惠（2016），「高鐵接地線失竊案，鐵警竹東逮慣竊」。自由時報，2016年1月13日。https://news.ltn.com.tw/news/society/breakingnews/1571542。瀏覽時間：2022年05月11日。
高美玲（2010），臺灣經濟犯罪之影響因素實證分析。嘉義縣，國立中正大學國際經濟研究所，碩士論文。
莊忠柱、楊淑芬（2002），影響台灣普通刑事犯罪率因素的探討。環境與管理研究，3（1），77-98。
楊士隆（2020），暴力犯罪：原因、類型與對策。臺北市，五南，2-5，112。
鄧煌發（2001），影響臺灣地區近二十年來犯罪問題之社會因素及其未來發展趨勢預測之研究。警大學報，38，183-212。
維基百科，https://zh.m.wikipedia.org/zh-tw/%E5%8F%B0%E7%81%A3%E9%AB%98%E9%90%B5。瀏覽時間：2022年05月02日。
劉孟奇、張其祿、盧敬植(2010)，警力增加能導致竊盜犯罪降低嗎?－台灣縣市1998-2007動態追蹤資料之Granger因果分析。公共行政學學報，34，1-27。
蔡宜家、吳永達 (2019)，我國近年犯罪狀況趨勢分析與政策觀察。刑事政策與犯罪防治研究專刊，23，4-20。
貳、英文部分
Becker, G.S. (1968), “Crime and Punishment: An Economic Approach.” Journal of Political Economy, 76(2), 169–217.
Cameron, S. (1988), “The Economics of Crime Deterrence: A Survey of Theory and Evidence.” Kyklos, 41(2), 301–23.
Cui, Zhen and Devika Hazra (2017), “Macroeconomic Determinants of Crime: Evidence from India.” Available at SSRN: https://ssrn.com/abstract=3005019 or http://dx.doi.org/10.2139/ssrn.3005019.
DeAngelo, Gregory, Donald F. Vitaliano, and Hannes Lang (2014), “Crime Rates and Police Efficiency.” Eastern Economic Journal, 40, 535-559.
Di Tella, R. and E. Schargrodsky (2004), “Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack.” American Economic Review, 94(1), 115–33.
Draca, M., S.J. Machin, and R. Witt (2011), “Panic on the Streets of London: Police, Crime and the July 2005 Terror Attacks.” American Economic Review, 101, 2157–2181.
Elhorst, J. P. (2010), “Matlab Software for Spatial Panels.” International Regional Science Review, 37(3), 389–405.
Entorf, H. and H. Spengler (2000), “Socioeconomic and Demographic Factors of Crime in Germany: Evidence from Panel Data of the German States.” International Review of Law and Economics, 21(1), 75-106.
Evans, W.N. and E.G. Owens (2007), “COPS and Crime.” Journal of Public Economics, 91(1–2), 181–201.
Fajnzylber, P., D. Lederman, and N. Loayza (2002), “Inequality and Violent Crime.” Journal of Law and Economics, 45(1), 1–39.
Hausman, J. A. (1978), “Specification Tests in Econometrics.” Econometrica, 46(6), 1251–1271.
Hazra, D. (2020), “What Does (And Does Not) Affect Crime in India?” International Journal of Social Economics, 47(4), 503-521.
Huang, Jr-Tsung and Ming-Lei Chang (2018), "Fiscal Transparency and Foreign Direct Investment in China." Singapore Economic Review, 63(4), 839-859.
Islam, Asif (2016), “An Exploration of the Relationship between Police Presence, Crime and Firms in Developing Countries.” Development Policy Review, 34 (5), 691—719.
LeSage, J. and R. K. Pace (2009), Introduction to Spatial Econometrics. London: CRC Press Taylor & Francis Group.
Levin, A., C. F. Lin, and C. S. J. Chu (2002), “Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties.” Journal of Econometrics,108, 1-24.
Levitt, S.D. (2004), “Understanding Why Crime Fell in the 1990s: Four Factors That Explain the Decline and Six That Do Not.” Journal of Economic Perspectives, 18(1), 163–90.
Lin, Ming-Jen (2009), “More Police, Less Crime: Evidence from US State Data.” International Review of Law and Economics, 29, 73–80.
Masiero, Ilaria (2020), “The Effect of Police on Crime: Evidence from the 2014 World Cup in São Paulo.” Economía, 21(1), 47-72.
Moran, P. A. P. (1950), Notes on Continuous Stochastic Phenomena.” Biometrika, 37, 17–23.
Sandelin, Bo (1986), “Property Crimes and the Police: An Empirical Analysis of Swedish Data.” The Scandinavian Journal of Economics, 88{3), 547-561.