國際上及不同國家之間，對於危險物品運輸都保持高度重視的態度。道路危險物品運輸作爲運輸量最大的危運運輸方式，相較於其他運輸方式在各城市居民的日常生活中影響程度更高。在危險物品運輸中，從業者與危險物品運輸設備、設施、營運、培訓規範，是在實際運輸活動中影響危運安全的因素。
英國的道路危險物品運輸體系相較於中國成熟早且完善。中國近些年的高速發展也使道路危險物品運輸量和從業人員逐年增長，中國政府在相關法律法規上也根據國際及國内實際情況不斷完善。但是，在實際運輸活動中還存在不少因運輸業者人爲因素導致重大事故發生的情形。
本文旨在以深圳市道路危險物品運輸業者爲例，採用結構方程模式(SEM)分析危險物品運輸業者安全績效影響因素之交互關係的影響路徑與影響程度。採用網路分析法(ANP)分析改善道路危險物品運輸風險準則間的相對重要性和優先權重，並結合模糊綜合評判分析本研究設計之改善道路危險物品運輸風險方案。本研究以深圳市爲例，對道路危險物品運輸從業者及專家進行問卷調查。
研究結果顯示經營業者活動風險是影響道路危險物品運輸安全績效的主要因素。網路分析法結果顯示道路危險物品運輸法律法規是改善道路危險物品運輸風險最需優先改善要素。從模糊綜合評判結果中可知，在深圳市道路危運企業管理人員評估採用英國危運系統内容的可行性上，管理人員認爲在成本考量下英國危運系統部分内容可應用在目前實際危運經營與運輸業務中以改善道路危險物品運輸風險。

Road transport of dangerous goods is the transport method of dangerous goods with the largest transportation volume. Compared with China, the UK's road dangerous goods transport system is mature and complete. China's road transportation of dangerous goods and the number of employees have increased year by year. However, in the actual transportation activities, there are still many situations where major accidents occur due to the human factors of the transportation industry.
This research is to take the road dangerous goods transport practitioners in Shenzhen as an example. Use Structural Equation Modeling (SEM) to analyze the influence path and degree of the interaction of the factors affecting the safety performance of the practitioners of dangerous goods. The relative importance and priority among the risk criteria for improving the transport of dangerous goods on the road were analyzed by the Analytic Network Process (ANP), and the risk improvement schemes for the road dangerous goods transport designed were analyzed combined with the Fuzzy Synthetic Evaluation.
The research results show that the operator activities risk is the main factor affecting the safety performance of road transport of dangerous goods. Furthermore, laws and regulations are the most important factor in improving the risks of road transport of dangerous goods. Managers or decision-makers believe that some of the contents of the British dangerous transportation system can be applied to the current actual dangerous transportation operation and transportation business to improve the risk of road dangerous goods transportation under the consideration of cost.

英文文獻
1.Angela, M, T. (2010). Models and methods of risk assessment and control in dangerous goods transportation (DGT) systems, using innovative information and communication technologies. Chemical Sciences. École Nationale Supérieure des Mines de Paris; Università degli studi di Genova - Italie,pastel-00006223, version 1.
2.Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233-247.
3.Boomsma, A., & Hoogland, J. J. (2001). The robustness of LISREL modeling revisited. Structural equation models: Present and future. A Festschrift in honor of Karl Jöreskog, 2(3), 139-168.
4.Bodin, L., & Gass, S. I. (2003). On teaching the analytic hierarchy process.Computers & Operations Research, 30(10), 1487-1497.
5.Benekos, I., & Diamantidis, D. (2017). On risk assessment and risk acceptance of dangerous goods transportation through road tunnels in Greece. Safety science, 91, 1-10.
6.Bo, X., Martin, S., Bo, X. (2015). A critical review of structural equation modeling applications in construction research. Autom. ConStruct. 49, 59–70.
7.Chang, Y.-H., Yeh, C.-H., & Liu, Y.-L. (2006). Prioritizing management issues of moving dangerous goods by air transport. Journal of Air Transport Management, 12(4), 191–196.
8.Dong, Q., Qian, D. L., Li, C. H., & Fan, H. B. (2013). Research on Safety Evaluation Indexes of the Road Transportation Enterprise of Dangerous Goods. Mechanics and Materials, 409–410, 1330–1334.
9.Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
10.Fox, M.A. (2013). Glossary for the worldwide transportation of dangerous goods and hazardous materials. Springer Science & Business Media.

11.Forigua, J., & Lyons, L. (2016). Safety Analysis of Transportation Chain for Dangerous Goods: A Case Study in Colombia. Tenth International Conference on City Logistics 17-19 June 2015, Tenerife, Spain, 12, 842–850.
12.Gusik, V., Klumpp, M., & Westphal, C. (2012). International Comparison of Dangerous Goods Transport and Training Schemes.
13.Hair, J., Anderson, R., Tatham, R.L., & Black, W.C. (1998). Multivariate data analysis,(5th ed.), NJ: Upper Saddle River, Prentice-Hall.
14.Hair, J. F., Black, W. C., Babin, B., Anderson, R. E., & Tatham, R. L. (Eds.). (2010). Multivariate Data Analysis. Upper Saddle River: Prentice-Hall International,Inc.
15.Hussain, G., Batool, I., Kanwal, N., & Abid, M. (2019). The moderating effects of work safety climate on socio-cognitive factors and the risky driving behavior of truck drivers in Pakistan. Transportation Research Part F: Traffic Psychology and Behaviour, 62, 700–715.
16.Imeri, A., Khadraoui, A., & Khadraoui, D. (2017). A conceptual and technical approach for transportation of dangerous goods in compliance with regulatory framework. Journal of Software: Evolution And Process, 12(9), 708-721.
17.Janno, J., & Koppel, O. (2017). Human Factor as The Main Opreational Risk in Dangerous Goods Transportation Chain. Business Logistics in Modern Management, 17, 63-78.
18.Kanj, H. (2016). Contribution to risk analysis related to the transport of hazardous materials by agent-based simulation. Université Grenoble Alpes,2016. English.
19.Keffane, S. (2020). Safety Climate and Safety Performance Management for Improved Road Safety Practices in the transport sector. Journal of Civil Engineering and Urban Planning, 2(1), 1-15.
20.Liu, X. Z., & Qian, D. L. (2016). Analysis of Hazardous-Chemicals-Transportation Based on Interpretative Structural Modeling. Fog, 10, 32-2.
21.Michailiuk, B. (2016). Safety of the road transport of dangerous goods,Journal of Environmental Protection,Safety Education and Management.7(4)2016. 34-42.

22.Neal, A., Griffin, M. A., & Hart, P. M. (2000). The impact of organizational climate on safety climate and individual behavior. Safety science, 34(1-3), 99-109.
23.Russo, F., & Rindone, C. (2013). Risk occurrence measures for dangerous goods goods transport on a road network. WIT Transactions on the Built Environment, 134, 529-539.
24.Saaty, T. L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York.
25.Saaty. T. L. (1990). The Analytic Hierarchy Process , RWS Publications.
26.Saaty, T. L. (1996). The analytic network process: Decision making with dependence and feedback. Pittsburgh, PA: RWS.
27.Saaty, T. L., & Vargas, L.G. (2006). Decision making with the analytic network process : economic, political, social and technological applications with benefits, opportunities, costs and risks. Springer.
28.Torretta, V., Rada, E. C., Schiavon, M., & Viotti, P. (2017). Decision support systems for assessing risks involved in transporting hazardous materials: A review. Safety science, 92, 1-9.
29.Tatarinov, V., & Kirsanov, A. (2019). Information support for safety insurance of road transport of dangerous goods. In IOP Conference Series: Materials Science and Engineering (Vol. 492, No. 1, p. 012006). IOP Publishing.
30.United Nations. (2010). Requirements concerning the construction and approval of vehicles.
31.United Nations. (2019). UN Recommendations on the Transport of Dangerous Goods-Model Regulations Twenty-first revised edition.
32.Wills, A. R., Biggs, H. C., & Watson, B. (2005). Analysis of a safety climate measure for occupational vehicle drivers and implications for safer workplaces. The Australian Journal of Rehabilitation Counselling, 11(1), 8-21.
33.Wu, J., Li, C., & Huo, Y. (2014). Safety assessment of dangerous goods transport enterprise based on the relative entropy aggregation in group decision making model. Computational intelligence and neuroscience, 2014.
34.Zohar, D.(1980). Safety climate in industrial organizations: Theoretical and applied implications. Journal of Applied Psychology, 65(1), 96–102.
35.Zohar, D., Huang, Y.-h., Lee, J., & Robertson, M. M. (2015). Testing extrinsic and intrinsic motivation as explanatory variables for the safety climate–safety performance relationship among long-haul truck drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 30, 84–96.
36.Zhao, H., & Zhang, N. (2019). Who is the main influencer on safety performance of dangerous goods air transportation in China?. Journal of Air Transport Management, 75, 198-203.

中文文獻
1.王保進(2004)，「多變量分析：套裝程式與資料分析」，高等教育出版。305-435 頁。
2.邱皓政(2010)，「量化研究與統計分析(基礎版)-SPSS中文視窗版資料分析範例解析」， 臺北市：五南圖書出版股份有限公司。
3.陳順宇(2005)，「多變量分析」，台北：華泰書局,第四版。
4.陳寬裕，王正華(2018)，「結構方程模型：運用AMOS分析」，臺北市：五南圖書出 版股份有限公司。
5.謝美鳳（2003），「探討安全氣候影響安全績效之研究－以國道客運駕駛員為例」， 中華民國運輸學會第18屆論文研討會論文。

網路文獻
1.2019年英國國內道路貨運統計數據，擷取日期：2021年04月01日，
https://www.gov.uk/government/statistics/road-freight-statistics-2019
2.2020年中國危化品物流行業年度運營報告，擷取日期：2021年04月01日，http://www.hcls.org.cn/article/91058.html
3.TANK AND SILO VEHICLES，擷取日期：2021年06月26日，
https://www.truck.man.eu/man/media/content_medien/doc/business_website_truck_master_1/einsatzgebiete/sprachabhaengig/man-truck-tg-liquids-gases.pdf
4.2020年我國危化品運輸車市場分析，擷取日期：2021年06月28日，
https://www.sohu.com/a/463076582_266850
5.東風商用車有限公司，擷取日期：2021年06月28日，
http://www.dfcv.com.cn/Company.aspx
6.東風天龍鋁合金運油車主要技術性能參數，擷取日期：2021年06月28日，
http://www.zgcszq.com/PView457.html
7.油罐車危險品運輸要求規定，擷取日期：2021年06月28日，
http://www.xgcs55.com/gsxw/5083.html
8.駕駛員專業能力證書 (CPC) 教學大綱，擷取日期：2021年06月29日，
https://www.gov.uk/government/publications/driver-cpc-syllabus/driver-certificate-of-professional-competence-cpc-syllabus--2
9.英國ADR證書，擷取日期：2021年06月29日，
https://unece.org/adr-certificates-0
10.道路危險貨物運輸從業人員從業資格培訓教學計劃，擷取日期：2021年06月29日，
https://xxgk.mot.gov.cn/2020/jigou/ysfws/202106/t20210601_3603519.html
11.2020國內外重大危險品運輸事故匯總，擷取日期：2021年07月28日，
https://new.qq.com/omn/20210118/20210118A0CZLX00.html