铁路建设项目施工期环境监测指标体系的探讨

施工期的生态保护与环境污染控制是铁路建设项目环境保护工作的重点。开展铁路建设项目施工期环境监测,用现场监测数据来定量分析说明环境问题,可以为指导施工、保护环境及预防环境污染事故提供重要的技术手段。铁路建设项目施工期监测须在环境监测工作规划及监测技术支持下,全面考虑水环境、声环境、大气环境、生态环境的多种环境要素,选取适当的指标,制定出一套既规范而又科学的指标体系,用于指导和开展施工期的环境监测工作,以准确地反映施工期的环境变化及存在的环境问题。     

客运专线环境影响特性探讨

客运专线主体结构以桥梁为主,具有不同于普通铁路的工程建设特性,从而导致不同的环境影响特性。如生态环境影响特点为客运专线桥梁工程桩基施工弃土量、泥浆处置量大,制梁场等临时工程占地多;声环境影响具有声源位置高、声源成分复杂的特点,随着列车运行速度增加,空气动力噪声和集电系统噪声显著增加;电磁环境影响特点,高架线路对电磁的遮挡、反射影响不容忽视,电磁辐射影响与车速呈正比。     

京沪高速铁路阳澄湖段环保施工技术

通过过程管理、工期控制、材料消耗、施工污染等多个方面对阳澄湖段施工栈桥和围堰方案的比较分析,表明京沪高铁阳澄湖段采用优化围堰方案代替栈桥施工,在环境、经济及技术方面具有明显的优势。在施工过程中采取了一系列防治生态破坏和环境污染措施后,有效地保护了阳澄湖水质不受污染,湖区生态环境及养殖业不受影响,为铁路跨越湖泊施工的环保工作提供有益借鉴。     

地铁环境振动预测中链式结构振级落差灵敏度分析

针对地铁环境振动预测中使用的链式结构力学简化模型,利用灵敏度分析对链式结构中各参数变化对各振级落差影响规律进行系统研究;推导给出振级落差一阶灵敏度解析表达式和一种逆矩阵偏导数求解方法;并提出利用自由衰减时域段实测数据逆求链式结构中各力学参数方法。研究结果表明:通过灵敏度分析可以确定链式结构中任一力学参数改变对其任一层振级落差影响程度,找出对系统动态响应影响较大的环节。该方法有助于提高环境振动预测精度。     

地铁减振存在的问题分析与建议

从梳理现阶段地铁减振的程序和规范要求及通常做法入手,讨论地铁减振过度或不当所存在的问题,系统分析规范标准、基础理论和方法、管理等方面的原因,提出相应的改进建议,包括开展相关基础理论研究、完善方法标准体系、加大环保及环评在地铁项目实施中的介入深度、实施项目全过程分阶段环评、逐步建立环保(减振降噪)管理专项制度等。     

实现城市防洪经济、社会、环境效益三统一

本文从分析防洪经济效益、社会效益、环境效益三者关系入手 ,明确了在生态失衡、灾害频繁、环境问题已经成为危及人类生存与发展的今天 ,实现三者统一协调、整体推进的重要性 ,并提出了工作思路与对策     

Changes in fuel economy: An analysis of the Spanish car market

This paper estimates the role that technological change and car characteristics have played in the rate of fuel consumption of vehicles over time. Using data from the Spanish car market from 1988 to 2013, we estimate a reduced form equation that relates fuel consumption with a set of car characteristics. The results for the sales-weighted sample of vehicles show that energy efficiency would have improved by 30% and 42% for petrol and diesel cars respectively had car characteristics been held constant at 1988 values. However, the shift to bigger and more fuel-consuming cars reduced the gains from technological progress. Additionally, using the results of the fuel equation we show that, besides a natural growth rate of 1.1%, technological progress is affected by both the international price of oil and the adoption of mandatory emission standards. Moreover, according to our estimations, a 1% growth in GDP would modify car characteristics in such a way that fuel consumption would increase by around 0.23% for petrol cars and 0.35% for diesel cars.     

Through the storm: Transit agency management in response to climate change

The increase in extreme weather events due to climate change poses serious challenges to public transit systems. These events disrupt transit operations, impair service quality, increase threats to public safety, and damage infrastructure. Despite the growing risk of extreme weather and climate change, little is known about how public managers recognize, experience and address these risks. Using data from a national study of public transit agencies we investigate the types of extreme weather events transit agencies are experiencing, the associated risks, and how agencies are preparing for them. We find that while extreme events are commonly experienced by transit agencies across states and transit managers perceive increased risks from these events, most agencies rely on the traditional emergency management approach to address extreme weather ex post rather than taking a proactive approach to mitigating the adverse weather impact on transit assets and infrastructure ex ante. Managers report that a lack of access to financial resources is the greatest challenge for undertaking adaptation and preparation. We conclude with a discussion of what these findings mean for understanding organizational adaptation behavior as well as climate adaptation policy making.     

Green walking networks for climate change adaptation

Climate change (CC) potentially affects people travel behaviour, due to extreme weather conditions. This is particularly true for pedestrians, that are more exposed to weather conditions. Introducing the effect of this change in transport modelling allows to analyse and plan walking networks taking into consideration the climatic variable. The aim of this work is to develop a tool that can support planning and design of walking networks, by assessing the effects of actions oriented to increase resilience with respect to extreme weather conditions (CC adaptation).An integrated approach is used, thus combining transport and land-use planning concepts with elements of outdoor thermal comfort and network accessibility. Walking networks are analysed through centrality indexes, including thermal comfort aspects into a general cost function of links and weighted nodes. The method has been applied to the walking network inside the Campus of the University of Catania (Italy), which includes different functions and where pedestrian paths are barely used by people. Results confirm that this tool is sensitive to the variables representing weather conditions and it can measure the influence of CC adaptation measures (e.g. vegetation) on walking attitude and on the performance of the walking network.     

Impact assessment of extreme weather events on transport networks: A data-driven approach

The present paper presents a data-driven method for assessing the resilience of the European passenger transport network during extreme weather events. The method aims to fill in the gap of current research efforts regarding the quantification of impacts attributed to climate change and the identification of substitutability opportunities between transport modes in case of extreme weather events (EWE). The proposed method consists of three steps concerning the probability estimation of an EWE occurring within a transportation network, the assessment of its impacts and the passengers’ flow shift between various transport modes. A mathematical formulation for the proposed data-driven method is provided and applied in an indicative European small-scale network, in order to assess the impacts of EWE on modal choice. Results are expressed in passenger differentiated flows and the paper concludes with future research steps and directions.