基于城市文化生态下的交通系统规划设计思考

本文主要是通过分析城市不同功能的模块的内在属性,探究城市交通系统如何在适应城市文化生态系统的情况下,通过合理的规划设计,实现自身功能的最大化,其次详细的阐述了为何要将城市的文化生态系统融合于如今城市快速发展建设中融合,最后针对城市不同功能模块提出了相应有效的交通规划设计思路。     

甩挂运输半挂车电子标识技术研究

针对现阶段的道路运输远程监控体系中无法识别半挂车的身份与特征信息的问题,通过对甩挂运输企业、站(场)、整车生产企业进行广泛调研,文中提出了基于RFID无线射频技术的甩挂运输半挂车身份电子标识技术要求,分析了电子标识具体技术参数的限值范围,为规范甩挂运输半挂车身份电子标识的发展提供了技术支撑。     

天然气车辆推广应用政策措施研究

天然气车辆因其能源结构调整效益和节能减排效益,在道路运输行业应用日趋广泛。但同时,其后期应用过程中的问题也随之显现,为引导道路运输企业更加科学合理的应用天然气汽车,本文通过对当前天然气车辆应用现状的分析,总结应用过程中的问题,对天然气车辆开展成本效益分析,最终提出适合天然气车辆推广应用的政策建议。     

Vulnerability analysis for large-scale and congested road networks with demand uncertainty

To assess the vulnerability of congested road networks, the commonly used full network scan approach is to evaluate all possible scenarios of link closure using a form of traffic assignment. This approach can be computationally burdensome and may not be viable for identifying the most critical links in large-scale networks. In this study, an “impact area” vulnerability analysis approach is proposed to evaluate the consequences of a link closure within its impact area instead of the whole network. The proposed approach can significantly reduce the search space for determining the most critical links in large-scale networks. In addition, a new vulnerability index is introduced to examine properly the consequences of a link closure. The effects of demand uncertainty and heterogeneous travellers’ risk-taking behaviour are explicitly considered. Numerical results for two different road networks show that in practice the proposed approach is more efficient than traditional full scan approach for identifying the same set of critical links. Numerical results also demonstrate that both stochastic demand and travellers’ risk-taking behaviour have significant impacts on network vulnerability analysis, especially under high network congestion and large demand variations. Ignoring their impacts can underestimate the consequences of link closures and misidentify the most critical links.     

气田集输管道钢材的选择

针对某气田的气质条件,对气田集输管道材料选择进行了专题研究。分析CO2和Cl-的腐蚀机理,选取了碳钢、不锈钢及双相不锈钢材料进行了气体集输管道腐蚀环境耐蚀模拟试验。实验结果表明：碳钢平均腐蚀速率最快,双相不锈钢腐蚀速率最慢。选取了4种不锈钢进行耐点蚀性能试验与评价。结果显示：马氏体不锈钢2Cr13抗点腐蚀能力最差,25Cr双相不锈钢因其抗点蚀、坑蚀能力强,适宜于某气质腐蚀环境。最后,分别从防腐效果和经济角度论证了采用25Cr双相不锈钢作为内部集输管线的材料优于碳钢＋缓蚀剂。     

管道内防腐层补口技术研究进展

管道内衬或内防腐涂层现场施焊时,焊缝两侧的防腐层会由于高温作用而破坏,使环焊缝处不能得到有效的保护,内补口技术也成为影响管道质量的主要瓶颈。文中介绍了国内外主要的内补口技术,如内补口机法、内衬保护套（管）焊接法、不锈钢接头法、机械连接法等,并指出各方法的特点。文中还就内补口技术的质量控制和研究方向等提出了建议。     

穿越古滑坡川主寺隧道围岩破坏特征及稳定性研究

文章以川主寺隧道所处的工程地质条件为基础,通过现场调研分析了隧道围岩变形破坏形式主要为坍塌、掉块以及剥落.围岩稳定性三维有限元数值模拟结果显示,碎裂围岩自稳能力差,围岩变形以弹塑性变形、松弛变形为主;H型钢拱架支护结构对碎裂围岩稳定性起到积极的作用,并通过典型洞段现场位移监测数据分析结果得以证实.     

Toxic air pollutants and trucking productivity in the US

This paper introduces toxic air pollutants into the measurement of trucking productivity to obtain true productivity growth. Our results show that omitting or ignoring toxic air pollutants in measuring trucking productivity yields statistically significant biased productivity estimates in for 2002-2005. Trucking productivity growth was understated by the traditional productivity measure, because the latter did not account for reductions in truck air pollution over time. We also find that the difference between traditional and environmental efficiency scores was negligible, suggesting that environmental constraint did not distort efficiency in the trucking sector.     

Surface street traffic volume and single-family house price

This study investigates the relationship between surface street traffic volume and single-family house prices in a relatively small city in the US. Hedonic price models are estimated using data from 9670 transactions that occurred between January 1998 and March 2011. It is discovered that parcels fronting or adjacent to a high-traffic street sell, on average, at an 8.1% discount compared to similar parcels that are not so situated. Restricting the analysis to parcels on or adjacent to a high-traffic street, house price and traffic volume are found to be negatively related; a doubling of volume from any particular traffic count, ceteris paribus, reduces selling price by an average of 2.1%.     

Modelling the impact of weather conditions on active transportation travel behaviour

Three weather sensitive models are used to explore the relationship between weather and home-based work trips within the City of Toronto, focusing on active modes of transportation. The data are restricted to non-captive commuters who have the option of selecting among five basic modes of auto driver, auto passenger, transit, bike and walk. Daily trip rates in various weather conditions are assessed. Overall, the results confirm that impact of weather on active modes of transportation is significant enough to deserve attention at the research, data collection and planning levels.