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21.
针对码头工程中如何多方位将节能增效措施融入到设计中的问题,以长江江苏段某散杂码头及其堆场的设计为例,在工艺、结构、电气等方面采用多方位比较的方法,工艺采用装船机、取料机和皮带机变频联动系统、旋转式过渡皮带车以及三工位头部伸缩装置等措施,结构方面陆域轨道基础采用新型专利,电气方面采用风光互补路灯及岸电系统等不同的节能增效措施,使项目更经济合理、效益显著。 相似文献
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针对路口相关路段发生交通瓶颈现象时原有的路口控制策略很可能会产生溢流现象这一问题,在对周期内路段车流组成进行分析的基础上,应用集散波理论,分析了不同交通瓶颈通行能力对上游路口到交通瓶颈间路段溢流现象产生的影响,针对该影响,分析了交通瓶颈下游路口为消除该影响在控制策略方面应进行的调整,分析结果表明,下游路口某车道排队长度延伸至交通瓶颈可能会使上游路口在同样信号控制策略下从非溢流状态变为溢流状态;一方面可通过延长下游路口相关相位的绿灯时间来避免上游路口到交通瓶颈间路段的溢流现象;另一方面可以通过改变上下游路口间的相位差来消除交通瓶颈通行能力改变对溢流现象产生的影响. 相似文献
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In this paper we argue that visualization, data management and computational capabilities of geographic information systems (GIS) can assist transportation stated preference research in capturing the contextual complexity of many transportation decision environments by providing respondents with maps and other spatial and non-spatial information in graphical form that enhance respondents' understanding of decision scenarios. We explore the multiple inherent contributions of GIS to transportation stated preference data collection and propose a framework for a GIS-based stated preference survey instrument. We also present the design concepts of two survey prototypes and their GIS implementation for a sample travel mode choice problem. 相似文献
25.
Grégory Vandenbulcke Claire Dujardin Isabelle Thomas Bas de GeusBart Degraeuwe Romain MeeusenLuc Int Panis 《Transportation Research Part A: Policy and Practice》2011,45(2):118-137
This paper attempts to explain the spatial variation of the use of a bicycle for commuting to work at the level of the 589 municipalities in Belgium. Regression techniques were used and special attention was paid to autocorrelation, heterogeneity and multicollinearity. Spatial lag models were used to correct for the presence of spatial dependence and a disaggregated modelling strategy was adopted for the northern and southern parts of the country. The results show that much of the inter-municipality variation in bicycle use is related to environmental aspects such as the relief, traffic volumes and cycling accidents. Town size, distance travelled and demographic aspects also have some effect. In addition, there are regional differences in the effects of the structural covariates on bicycle use: the impact of variables such as traffic volume and cycling accidents differs substantially between the north and the south of the country. This paper also suggests that high rates of bicycle use in one municipality stimulate cycling in neighbouring municipalities, and hence that a mass effect can be initiated, i.e. more cycle commuting encourages even more commuters in the area to cycle. These findings provide some recommendations for decision-makers wishing to promote a shift from car to bicycle use. 相似文献
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The market potential indicator is a commonly used tool in transport planning for evaluating the potential economic effects derived from improvements in transport infrastructures. The general assumption is that exports from a given region will rise with increased accessibility, thus benefiting economic activities. However, the specification of the market potential model is typically very simple and ignores both the impact of competing rivals and the role of international borders, which leads to unrealistic results. Spatial interaction models on bilateral trade have already proved that international trade is affected by multilateral resistance, borders, adjacency, language or currency. Nevertheless, apart from some recent analyses that simply calibrate the distance decay parameter from trade datasets, these variables have hardly been integrated into research on market potential. This paper sets out to demonstrate that more realistic results are obtained by calibrating the distance-decay parameter and introducing the impact of competing rivals and border effects into the market potential formulation. The proposed model is then applied to the assessment of the accessibility impacts of new road transport infrastructure in the European Union between 2001 and 2012, which shows that the greatest improvements in accessibility were experienced by peripheral countries with high road infrastructure investment. 相似文献
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Vehicle electrification is a promising approach towards attaining green transportation. However, the absence of charging stations limits the penetration of electric vehicles. Current approaches for optimizing the locations of charging stations suffer from challenges associated with spatial–temporal dynamic travel demands and the lengthy period required for the charging process. The present article uses the electric taxi (ET) as an example to develop a spatial–temporal demand coverage approach for optimizing the placement of ET charging stations in the space–time context. To this end, public taxi demands with spatial and temporal attributes are extracted from massive taxi GPS data. The cyclical interactions between taxi demands, ETs, and charging stations are modeled with a spatial–temporal path tool. A location model is developed to maximize the level of ET service on the road network and the level of charging service at the stations under spatial and temporal constraints such as the ET range, the charging time, and the capacity of charging stations. The reduced carbon emission generated by used ETs with located charging stations is also evaluated. An experiment conducted in Shenzhen, China demonstrates that the proposed approach not only exhibits good performance in determining ET charging station locations by considering temporal attributes, but also achieves a high quality trade-off between the levels of ET service and charging service. The proposed approach and obtained results help the decision-making of urban ET charging station siting. 相似文献
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