Decouple transport CO2 emissions from China’s economic expansion: A temporal-spatial analysis

China’s transport industry is energy intensive and high-polluting. While with the surging urbanization and the development of service industry, China’s economic relies more and more on the transport sector. Therefore, exploring the relationship between transport energy-related carbon emission (TECE) and economic development is crucial to the realization of China’s “Post Paris” mitigation target. The paper carries out a decoupling research between TECE and Gross domestic product (GDP) at both national level and province level based on Logarithmic Mean Divisia Index (LMDI) decomposition analysis with the extended Kaya identity and Tapio decoupling model. The model quantifies eight factors’ effects on the relationship with focusing on external macro socio-economic related factors (i.e., spatial pattern, urbanization, per capita service industry output value, reciprocal of the service industry’s share of GDP, and demographic variable) successfully. The key conclusions are indicated as follows: (1) the national decoupling status was extensive coupling during 2004–2010 and then weak decoupling during 2010–2016. The progress can be attributed to the decline of energy intensity. (2) Per capita service output was always the prominent factor to promote carbon emissions growth in different time periods and provinces with inhibiting the advancement of decoupling process, followed by urbanization. (3) Scenario analysis shows that with the continuous growth of traffic demand and the promotion of urbanization, improving energy efficiency has become the key link to realize the decoupling between China’s TECE and its economy.     

华东交通大学学生体育消费状况的调查与分析

采用文献资料法、问卷调查法、数理统计法等研究方法,对华东交通大学学生体育消费水平、结构、制约因素等进行分析研究,发现该校学生的体育消费水平低下,并且以实物消费为主,但对体育运动具有相当的兴趣;该校学生已形成一定的体育消费价值观体系,但仍需在体育教育中进一步引导;经济拮据因素是学生体育消费的主要制约因素,对校园公共体育设施存在较强的依赖性.该调查结果对高校体育设施建设及体育教学改革具有一定的借鉴意义.     

Sylvester矩阵方程Bartels-Stewart方法的一点改进

Sylvester矩阵方程和Lyapunov矩阵方程是控制理论和许多其它工程领域内很重要的方程。本文主要针对求解这种方程的Bartels-Stewart数值方法作一点改进。     

论中央汇金投资公司的职能、性质和未来发展

中央汇金投资公司成立已有两年多,外界和业内对之评论颇多.文章从中央汇金的性质和职能入手,通过分析其投资路线,认为其已转变为纯粹的金融投资控股公司,并提出了可以借鉴新加坡的淡马锡模式,探索以国有金融控股公司的方式体现所有者监控职能的思路.     

地表堆载下桩体结构承载力分析

以通用有限元程序AN SY S为基础,通过建模、加载计算及后处理方面的分析计算过程,探讨分析地表堆载下桩体结构承载力,为桩基础设计、施工、运营、管理及维修诸环节提供理论基础及依据。     

海底隧道安全监测问题的几点思考

安全监测是海底隧道施工的重要保障措施之一。由于海底隧道具有与陆地隧道不同的环境特点,因此,也就带来了海底隧道安全监测的复杂性与高风险。为了切实解决海底隧道的安全监测问题,结合陆地隧道安全监测经验和海底隧道的环境特点,提出了海底隧道安全监测的基本原则和技术方法,包括海水渗透超前探测、岩层岩性超前探测、围压监测、隧道形变监测、隧道空间位置导向与定位监测等,为海底隧道安全监测方法设计提供了有益的基础依据。     

基于因子分析法的公路运输绩效评价研究

公路运输是国民经济的基础产业,提高公路运输绩效是发展国民经济的根本途径。在构建公路运输绩效评价指标体系的基础上,利用2003年的调研统计资料,用因子分析法对全国各省市的公路运输系统绩效进行综合评价,指出影响道路运输系统绩效的主要因素,将各省的公路运输系统绩效进行比较,探索影响排名的因素,明确提高公路运输绩效的方向。     

Efficient missing data imputing for traffic flow by considering temporal and spatial dependence

The missing data problem remains as a difficulty in a diverse variety of transportation applications, e.g. traffic flow prediction and traffic pattern recognition. To solve this problem, numerous algorithms had been proposed in the last decade to impute the missed data. However, few existing studies had fully used the traffic flow information of neighboring detecting points to improve imputing performance. In this paper, probabilistic principle component analysis (PPCA) based imputing method, which had been proven to be one of the most effective imputing methods without using temporal or spatial dependence, is extended to utilize the information of multiple points. We systematically examine the potential benefits of multi-point data fusion and study the possible influence of measurement time lags. Tests indicate that the hidden temporal–spatial dependence is nonlinear and could be better retrieved by kernel probabilistic principle component analysis (KPPCA) based method rather than PPCA method. Comparison proves that imputing errors can be notably reduced, if temporal–spatial dependence has been appropriately considered.     

改进振动法在地下工程动力时程计算中的应用

地下工程受到周围土体的约束作用,其动力反映与地面工程有所区别,如将源于地面工程的振动法用于地下工程的动力时程计算分析,需要进行相应的改进.文章通过计算分析发现,振动法用于地下工程动力时程计算时,在计算模型边界条件和波动传播时间效应方面不能反映波动对地下工程作用的实质;通过对比分析,在这两个方面对常规振动法进行了改进;提出了适用于地下工程动力时程计算的改进振动法.该方法的计算模型采用左右两侧粘弹性底部固定的人工边界条件,波动输入采用能够反映波动传播时间效应的分层加速度动态输入法,其计算分析结果与理论解吻合较好,适用于地下工程的动力时程计算分析.     

Sensitivity-based uncertainty analysis of a combined travel demand model

Travel demand forecasting is subject to great uncertainties. A systematic uncertainty analysis can provide insights into the level of confidence on the model outputs, and also identify critical sources of uncertainty for enhancing the robustness of the travel demand model. In this paper, we develop a systematic framework for quantitative uncertainty analysis of a combined travel demand model (CTDM) using the analytical sensitivity-based method. The CTDM overcomes limitations of the sequential four-step procedure since it is based on a single unifying rationale. The analytical sensitivity-based method requires less computational effort than the sampling-based method. Meanwhile, the uncertainties stemming from inputs and parameters can be treated separately so that the individual and collective effects of uncertainty on the outputs can be clearly assessed and quantified. Numerical examples are finally used to demonstrate the proposed sensitivity-based uncertainty analysis method for the CTDM.