{"title":"中国各省道路安全绩效评估:过去十年的综合分析","authors":"Liangguo Kang","doi":"10.1016/j.rtbm.2024.101133","DOIUrl":null,"url":null,"abstract":"<div><p>The issue of road safety is a growing global concern, and evaluating performance in this area is crucial for the development of effective safety policies and the allocation of safety resources. Amidst the input-output perspective of road safety risks, this study endeavors to assess the performance of provincial road safety in China from 2012 to 2021. To achieve this goal, the research employs data envelopment analysis (DEA) and the DEA-window approach, grounded in the framework of variable/constant returns to scale (VRS/CRS) models. The results reveal that Shanghai and Tibet consistently achieved efficient scores using both the DEA-VRS and DEA-CRS methods throughout the past decade. There is a small difference of 0.028 and 0.025 between the average scores obtained from the DEA and DEA-window analysis using the VRS and CRS models, respectively. Shanghai, Tibet, and Beijing demonstrate exceptional performance in both the DEA-CRS-window and DEA-VRS-window analysis, while North China, Southwest China, Central China, and South China exhibits the significant variations in performance ranking. This study enhances the understanding of the current road safety status in China and offers valuable insights for policymakers to formulate targeted measures, aiming to continuously improve road safety performance across various provinces through benchmarking management</p></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"54 ","pages":"Article 101133"},"PeriodicalIF":4.1000,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing road safety performance in Chinese provinces: A comprehensive analysis of the past decade\",\"authors\":\"Liangguo Kang\",\"doi\":\"10.1016/j.rtbm.2024.101133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The issue of road safety is a growing global concern, and evaluating performance in this area is crucial for the development of effective safety policies and the allocation of safety resources. Amidst the input-output perspective of road safety risks, this study endeavors to assess the performance of provincial road safety in China from 2012 to 2021. To achieve this goal, the research employs data envelopment analysis (DEA) and the DEA-window approach, grounded in the framework of variable/constant returns to scale (VRS/CRS) models. The results reveal that Shanghai and Tibet consistently achieved efficient scores using both the DEA-VRS and DEA-CRS methods throughout the past decade. There is a small difference of 0.028 and 0.025 between the average scores obtained from the DEA and DEA-window analysis using the VRS and CRS models, respectively. Shanghai, Tibet, and Beijing demonstrate exceptional performance in both the DEA-CRS-window and DEA-VRS-window analysis, while North China, Southwest China, Central China, and South China exhibits the significant variations in performance ranking. This study enhances the understanding of the current road safety status in China and offers valuable insights for policymakers to formulate targeted measures, aiming to continuously improve road safety performance across various provinces through benchmarking management</p></div>\",\"PeriodicalId\":47453,\"journal\":{\"name\":\"Research in Transportation Business and Management\",\"volume\":\"54 \",\"pages\":\"Article 101133\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Transportation Business and Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S221053952400035X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Transportation Business and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221053952400035X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
摘要
道路安全问题日益受到全球关注,评估该领域的绩效对于制定有效的安全政策和分配安全资源至关重要。从道路安全风险的投入产出视角出发,本研究试图评估 2012 至 2021 年中国省级道路安全的绩效。为实现这一目标,研究采用了数据包络分析法(DEA)和 DEA 窗口法,并以可变/不变规模收益模型(VRS/CRS)为基础。研究结果表明,在过去的十年中,上海和西藏在使用 DEA-VRS 和 DEA-CRS 方法时始终取得了有效得分。使用 VRS 和 CRS 模型进行 DEA 和 DEA 窗口分析得出的平均得分分别为 0.028 和 0.025,差距很小。在 DEA-CRS 窗口分析和 DEA-VRS 窗口分析中,上海、西藏和北京都表现出优异的成绩,而华北、西南、华中和华南的成绩排名则出现了显著差异。本研究加深了对中国道路安全现状的了解,为决策者制定有针对性的措施提供了有价值的见解,旨在通过标杆管理不断提高各省的道路安全绩效。
Assessing road safety performance in Chinese provinces: A comprehensive analysis of the past decade
The issue of road safety is a growing global concern, and evaluating performance in this area is crucial for the development of effective safety policies and the allocation of safety resources. Amidst the input-output perspective of road safety risks, this study endeavors to assess the performance of provincial road safety in China from 2012 to 2021. To achieve this goal, the research employs data envelopment analysis (DEA) and the DEA-window approach, grounded in the framework of variable/constant returns to scale (VRS/CRS) models. The results reveal that Shanghai and Tibet consistently achieved efficient scores using both the DEA-VRS and DEA-CRS methods throughout the past decade. There is a small difference of 0.028 and 0.025 between the average scores obtained from the DEA and DEA-window analysis using the VRS and CRS models, respectively. Shanghai, Tibet, and Beijing demonstrate exceptional performance in both the DEA-CRS-window and DEA-VRS-window analysis, while North China, Southwest China, Central China, and South China exhibits the significant variations in performance ranking. This study enhances the understanding of the current road safety status in China and offers valuable insights for policymakers to formulate targeted measures, aiming to continuously improve road safety performance across various provinces through benchmarking management
期刊介绍:
Research in Transportation Business & Management (RTBM) will publish research on international aspects of transport management such as business strategy, communication, sustainability, finance, human resource management, law, logistics, marketing, franchising, privatisation and commercialisation. Research in Transportation Business & Management welcomes proposals for themed volumes from scholars in management, in relation to all modes of transport. Issues should be cross-disciplinary for one mode or single-disciplinary for all modes. We are keen to receive proposals that combine and integrate theories and concepts that are taken from or can be traced to origins in different disciplines or lessons learned from different modes and approaches to the topic. By facilitating the development of interdisciplinary or intermodal concepts, theories and ideas, and by synthesizing these for the journal''s audience, we seek to contribute to both scholarly advancement of knowledge and the state of managerial practice. Potential volume themes include: -Sustainability and Transportation Management- Transport Management and the Reduction of Transport''s Carbon Footprint- Marketing Transport/Branding Transportation- Benchmarking, Performance Measurement and Best Practices in Transport Operations- Franchising, Concessions and Alternate Governance Mechanisms for Transport Organisations- Logistics and the Integration of Transportation into Freight Supply Chains- Risk Management (or Asset Management or Transportation Finance or ...): Lessons from Multiple Modes- Engaging the Stakeholder in Transportation Governance- Reliability in the Freight Sector