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51.
旧水泥混凝土路面FWD实测数据的分析 总被引:1,自引:0,他引:1
基于某国道的FWD实测数据,分析FWD参数与旧水泥混凝土路面状况(现场调查实录及测试数据)间的某些相关性,探索旧水泥混凝土板的接缝传荷能力、弯曲刚度、综合承载能力等定性或定量的判别方法,提出利用FWD加载中心弯沉值总水平评价旧水泥混凝土路面综合承载能力的设想。 相似文献
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采用SWOT分析法作为西部公路发展策略的制定方法,在对西部公路交通系统的内外部环境影响因素归纳、剖析的基础上,给出了西部公路内外部环境分析与评价的方法,按重要性确定了西部公路发展环境的优势(S)与劣势(W)、机会(O)和威胁(T)因素,并采用定量与定性方法相结合提出了西部公路发展的建议策略,为西部公路发展在策略层面提供了理论指导。 相似文献
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基于交易费用的物流运作模式研究 总被引:3,自引:0,他引:3
从交易费用理论及物流运作模式着手,探讨了市场采购、物流自营,物流外包与物流内包的适应环境及运作对象。即:对于一般的物流活动应该从市场上进行采购,对于集成化的物流服务应该采用外部外包,当第三方物流市场走向垄断时,要积极寻求物流内包。 相似文献
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This study explores the possibility of employing social media data to infer the longitudinal travel behavior. The geo-tagged social media data show some unique features including location-aggregated features, distance-separated features, and Gaussian distributed features. Compared to conventional household travel survey, social media data is less expensive, easier to obtain and the most importantly can monitor the individual’s longitudinal travel behavior features over a much longer observation period. This paper proposes a sequential model-based clustering method to group the high-resolution Twitter locations and extract the Twitter displacements. Further, this study details the unique features of displacements extracted from Twitter including the demographics of Twitter user, as well as the advantages and limitations. The results are even compared with those from traditional household travel survey, showing promises in using displacement distribution, length, duration and start time to infer individual’s travel behavior. On this basis, one can also see the potential of employing social media to infer longitudinal travel behavior, as well as a large quantity of short-distance Twitter displacements. The results will supplement the traditional travel survey and support travel behavior modeling in a metropolitan area. 相似文献
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近几年来,我国山区高速建设里程日益增加.因受复杂地形、地质条件的限制,山区高速的外业勘察具有其独有的关键技术难点,应在普通建设条件下的作业内容、作业方式的基础上,采取针对性的对策措施,确保外勘资料满足设计需求. 相似文献
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揭平英 《广东交通职业技术学院学报》2012,11(4):107-111
通过调研发现:当前高职生顶岗实习存在实习协议难以全面签订、部分学生频繁流动、教学目标偏离异化、轮岗实习较难实现、学校实习管理不够精细、学生权益保障不力等问题。为了解决这些问题,同时提出了相应的建议和对策。 相似文献
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An in-depth understanding of travel behaviour determinants, including the relationship to non-travel activities, is the foundation for modelling and policy making. National Travel Surveys (NTS) and time use surveys (TUS) are two major data sources for travel behaviour and activity participation. The aim of this paper is to systematically compare both survey types regarding travel activities and non-travel activities. The analyses are based on the German National Travel Survey and the German National Time Use Survey from 2002.The number of trips and daily travel time for mobile respondents were computed as the main travel estimates. The number of trips per person is higher in the German TUS when changes in location without a trip are included. Location changes without a trip are consecutive non-trip activities with different locations but without a trip in-between. The daily travel time is consistently higher in the German TUS. The main reason for this difference is the 10-min interval used. Differences in travel estimates between the German TUS and NTS result from several interaction effects. Activity time in NTS is comparable with TUS for subsistence activities.Our analyses confirm that both survey types have advantages and disadvantages. TUS provide reliable travel estimates. The number of trips even seems preferable to NTS if missed trips are properly identified and considered. Daily travel times are somewhat exaggerated due to the 10-min interval. The fixed time interval is the most important limitation of TUS data. The result is that trip times in TUS do not represent actual trip times very well and should be treated with caution.We can use NTS activity data for subsistence activities between the first trip and the last trip. This can potentially benefit activity-based approaches since most activities before the first trip and after the last trip are typical home-based activities which are rarely substituted by out-of-home activities. 相似文献