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2015-6-2 品格继续为中央直属某设计研究院提供英语翻译服务。翻译方向:中英译。翻译内容:城市交通。
译文摘录(鉴于保密要求,敏感内容以“X”代替):

       
因公共汽车站容量不足、防护设施缺失、距离交叉口过近等问题引发的安全事故日益增多,开展公交车站安全运营评估以有效消除安全隐患迫在眉睫。从车站基础设施、安全配套设施、车站空间布局三个方面将公交车站安全运营评估的内容划分为7小类22小项。结合对18 项相关标准规范条款的梳理与分析,给出车站各要素的参考设计标准。依据标准评估公交车站存在的安全隐患,并结合实施条件制定针对性的改善对策。最后,以深圳市东门中路公交车站安全改善工程为例,评估改善实施效果。

关键词:公共交通;公交车站;安全运营评估;车站基础设施;车站安全配套设施;车站空间布局
Given the growing number of accidents caused by the insufficient capacity, lack of protective facilities and too short distance from intersections, among other issues of bus stations, it is extremely urgent to carry out an assessment on the safety operation of bus stations so as to eliminate potential risks. This paper divides the contents of the assessment into 22 items under 7 types from three perspectives, including infrastructure, ancillary safety facilities and spatial arrangement of bus stations. After summarizing and analyzing 18 relevant standards, rules and provisions, the paper provides the reference design criteria for each element of the stations. The paper then evaluates the potential risks of bus stations based on the criteria and provides well-targeted improvement strategy in light of specific implementation conditions. Finally, the paper takes the project of improving safety operation of bus stations of Dongmen Middle Road, Shenzhen as an example to evaluate the effect of improvement strategy.

伴随城市蔓延、轨道交通成网、用地开发等发展条件,大城市综合交通环境日益复杂。如何拓展评估边界、深化评估技术、提升评估频率和延伸评估视角成为传统城市交通评估技术体系面临的四个关键问题。首先介绍交通领域大数据的组成、特征及应用情况。通过深度挖掘交通运行产生的多源异构数据,建立集统计、关联、预测于一体的交通大数据分析平台和专题评估子系统,形成面向多层次、多领域应用需求的一体化综合交通模型体系。最后,基于深圳市的应用实践情况,阐述城市交通综合评估技术从城市到区域、从宏观到微观、从静态到动态、从土地到环境的转变。
The overall transport landscape in large cities have appeared increasingly complicated given urban sprawl, rail transit networking and land-use development, among other development conditions. In this case, how to expand evaluation boundary, deepen evaluation technology, improve evaluation efficiency and extend evaluation perspective have become four critical issues faced by the traditional system of urban transit evaluation technology. This paper initially provides insights into the composition, features and application of big data in the transport field. By tapping into multi-source isomerous data generated from transport operation in an in-depth way, the paper then puts in place a transport big data analysis platform integrating statistics, correlation and forecasts and a special evaluation sub-system, and establishes a holistic system of comprehensive transport model that accommodates multi-tiered and multi-field application demands. Finally, the paper points out the transition of the comprehensive urban transport evaluation technology from city to region, from macroscopic to microscopic views, from static to dynamic states, and from land to environment.

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