安楚高速公路红层软岩公路路堤病害处治方法

以云南安宁-楚雄高速公路为依托工程,全面研究了红层软岩路堤填料的工程特性,并在此基础上研究了红层软岩公路路堤病害的加筋防治措施,并在工程实际中得到了很好的应用和验证,研究成果对红层软岩地区路堤修筑具有一定的指导意义。     

防灾安全监控系统在高速铁路中的应用

铁路建设的快速发展,列车安全、高速运行的需求越来越迫切,而随着列车运行速度的提高,风、雨、雪、地震等自然灾害以及突发异物侵限对列车造成的影响越来越大,铁路防灾安全监控系统可以对各种灾害进行有效的监控和及时的预警、报警。     

光纤光栅在铁路防灾安全监控系统中的应用

介绍了光纤光栅异物侵限监测报警系统的技术特点,重点介绍该系统在铁路防灾安全监控工程中的应用及优越性。     

TDCS/CTC系统关键数据灾难备份技术的研究

灾难备份技术是保证TDCS/CTC系统高可用性和高安全性的重要技术基础,对保证铁路运输调度指挥连续运行具有重要意义。研究分析了TDCS/CTC系统的备份现状及存在的安全风险,对各主流灾难备份技术进行了介绍,设计了基于IBM技术的异地灾难备份方案和数据迁移方案,并对方案进行了实验室仿真测试。     

Law and Characteristics Analysis of Domestic Tunnel Construction Accidents from 2006 to 2016北大核心CSCD

With the rapid development of tunnel construction in China, strengthening statistical studies of domestic tunnel construction accidents is of great significance in order to understand the safety status of tunnel construction and the development trends of tunnel construction accidents and for exploring the direction of future scientific re-search. There were 89 tunnel construction accidents in China (not including subway tunnels or municipal tunnels)from 2006 to 2016. The characteristics of these accidents are analyzed in terms of time distribution, spatial distribu-tion, grade and type of accident according to the statistics by means of line charts, bar charts and pie charts. Corre-sponding prevention and control recommendations are put forward considering the factors such as year, month, work-ing day, time period, region, location, grade and type. © 2018, Editorial Office of "Modern Tunnelling Technology". All right reserved.     

基于Web GIS的高速铁路防灾系统的研究

介绍了Web GIS和MVC模式的概念,基于MVC构架的Web GIS应用程序的优缺点,高速铁路防灾系统的概念组成及功能.本文提出了基于Web GIS的高速铁路防灾系统,阐述了其优点,并对其前景进行了展望.     

Port investments on coastal and marine disasters prevention: Economic modeling and implications

Located along shorelines, seaports are highly vulnerable to coastal and marine natural disasters largely due to climate change. Damage caused by disasters can be prevented or alleviated if sufficient investments are made in a timely manner. However, despite a wide range of investment options and well-developed engineering expertise, port investment on disaster prevention remains a challenging task involving great complexities. This paper develops an integrated economic model for the analysis of disaster-prevention investments at a “landlord” port. It simultaneously considers the uncertainty of disaster occurrence and associated return of prevention investments, the information accumulation and related investment timing, and the benefit spillovers of investment among stakeholders. Our analysis shows that the timing of port investments depends on the probability of disasters. Immediate investment is optimal for disasters with very high probability, while investment should be postponed if such a probability is very low. Optimal timing for cases of intermediate probability cannot be determined analytically, as it is influenced by other factors such as discount rate, information accumulation and efficiency of investments. Positive spillovers between a port and its tenants lead to under-investment, which can be corrected by coordination between stakeholders. However, since there are risks of “overinvestment” (the marginal benefits of investments are zero ex post if there is no disaster), regulatory intervention is not always optimal when the regulator does not have a good understanding of disaster probability distribution. Therefore, scientific research would bring significant economic and strategic value to policy, planning and investment decisions.     

既有灾害监测系统接入铁路局中心系统方案研究

随着灾害监测铁路局中心系统相关的设计规范和技术标准的发布,各铁路局分别开始建设灾害监测铁路局中心系统,并将既有灾害监测系统接入铁路局中心系统。本文根据铁路局中心系统的结构和既有灾害监测系统的实际情况,提出了2种接入方案,并进行了比较分析。     

An RFID-based inventory management framework for emergency relief operations

In the aftermath of super storm Sandy, a large region from North Carolina to Maine endured food shortages, power outages, and long lines at gas stations forced to ration fuel due to low supply and high demand. These issues were largely the result of the affected transportation network’s inability to effectively cope with random and highly dynamic changes, and a lack of available resources and suppliers who were capable of enacting adequate emergency response measures. These problems experienced during super storm Sandy further underscored the need for a robust emergency inventory management system, where planning policies can be integrated with real-time on-line inventory management strategies to keep track of fluctuations of vital commodities such as food, water, medicine, fuel and power supplies. Motivated by this important problem, this paper investigates a comprehensive feedback-based emergency management framework for disasters such as super storm Sandy that provides integration with an emerging intelligent transportation systems technology, namely Radio Frequency Identification Devices (RFID). Within this framework, the offline-planning problem is solved by the stochastic humanitarian inventory management approach; and the online modeling strategy includes the application of a continuous time model predictive control technique. After introducing the mathematical background, the proposed framework is discussed using case studies built based on super storm Sandy in order to understand the efficiency and practicality of this RFID-based methodology. Results suggest that the methodology can properly account for and react to the rapidly changing needs for vital supplies that occur during the emergency relief operations. Based on this approach, planners and decision makers can be aware of the time delay that can happen due to disaster-related disruptions and thus maintain a safe level of buffer for vital supplies.     

The Tohoku disasters: Chief lessons concerning the post disaster humanitarian logistics response and policy implications

This paper describes the findings of the research conducted by the authors on the humanitarian logistic efforts after the cascading disasters that impacted the Tohoku region after the Great East Japan Earthquake of March 11th, 2011. Using a combination of in depth interviews with participants in the relief efforts and meta analyses of news accounts, the authors identified lessons learned by the participants, and the corresponding policy implications and suggestions for improvement of future response efforts.