大型体育赛事对城市交通基础设施规划的影响

随着现代体育的崛起,多功能综合性体育赛事扮演的角色更加趋于多样化,大型综合性体育赛事的东道主城市可以在交通设施方面获得较大发展,尤其是有助于提高城市形象和城市交通基础设施水平。本文先从理论层面分析了大型体育赛事对城市交通基础设施规划的影响,然后结合北京奥运会、广州亚运会、济南全运会、长沙五城会等大型体育赛事的案例分析了大型体育赛事对城市交通基础设施规划的影响。最后,提出了大型体育赛事举办城市交通基础设施规划的保障措施。     

我国应急物流运作流程存在的问题与对策

我国应急物流体系还存在诸多问题,尤其是在应急物流运作流程上做得还不尽如人意。为使应急物流运作更加合理化、高效化、现代化,本文对我国应急物流运作流程的采购、仓储、运输、配送等环节存在的主要问题进行了分析,并提出了相应的解决对策。     

我国铁路口岸站物流流程规划研究

本文阐述了我国主要铁路口岸站的基本情况,并分析了铁路口岸站物流现状及存在的主要问题。根据现代物流的需求及铁路口岸作业货物的特性和流向,分别进行物流作业流程规划,并设计了现代物流条件下铁路口岸站信息系统体系结构。     

应急物流网络规划基础研究

通过阐述应急物流网络的内涵及对其进行合理规划的意义,从选址、库存、运输三个角度提出了应急物流网络规划的主要内容——应急物资储备节点空间布局、应急物资储备节点库存策略、应急物资运输及配送路径选择,最后归纳总结了应急物流网络规划的一般性步骤,以供决策者参考。     

城市应急物流军民协同机制构建

针对我国政府和军队在城市应急物流活动中存在的问题,构建了应急物流军民协同机制,包括形成机制、实现机制和约束机制。在形成机制中,分析了协同的目标、协同动因和协同优势;在实现机制中,阐述了应急物流中军民组织协同、分工协同、供应链协同和信息协同的方法 ;在约束机制中,提出了建设激励机制、信任机制和信誉机制。     

应急物流体系的建设与协同运作机制

基于物流网络与系统工程视角提出了应急物流体系的建设思路与原则,探讨了应急物流体系的构成和运作流程,并基于协同学理论分析了应急物流体系协同内涵,提出了应急物流体系协同运行机制。     

废旧电子电器回收物流网络规划——以沈阳市为例

随着人们对环境和资源问题的日益重视,资源回收物流网络的构建与发展也得到越来越多的关注。建立废旧电子电器的回收网络一方面可以解决废旧电子电器污染环境的问题,另一方面可以提高资源的有效利用率。本文以沈阳市为例,对废旧电子电器产生的数量进行分析预测,从回收物流网络运行总成本最小的角度出发,建立混合整数非线性规划模型,并用LINGO软件进行求解,得出回收网络中各物流节点的数量和分布情况。     

铁路物流大客户管理的实践与思考

面对物流市场的激烈竞争,加强对物流大客户的管理,是铁路提高物流市场占有率,推进现代物流建设的重要途径。在阐述物流大客户管理现状的基础上,从信任、价值和机制等方面,分析了影响铁路物流大客户管理的因素,提出通过客户分类管理、完善组织模式、差异化营销和加强核心能力建设等途径加强大客户管理的建议。     

城市物流功能与经济的耦合机制研究

为了定量分析沧州市物流功能与经济发展的耦合协调水平,论文基于沧州市2007—2018年的数据,分析了城市物流功能与经济的相互作用机理,对二者的有序性、有序性弹性和耦合协调性进行测度,以沧州市为例进行实证分析。结果显示两个子系统的有序性、耦合协调性均呈提升趋势,耦合协调水平从2007年的严重不协调提升至2018年的勉强协调阶段。经济子系统弹性系数高于城市物流功能子系统的弹性系数,未来需加强子系统的联系与合作,推动子系统的耦合协调发展。     

大型足球比赛专有车辆调度机制与模式研究

大型足球比赛由于具有复杂的交通需求,日常的城市公共交通系统难以满足其车辆交通需求,因此需要专有车辆进行调度来保障大型足球比赛的交通需求。本文通过对大型足球比赛专有车辆调度影响因素、调度成本、调度需求以及调度流程和内容的分析,提出了大型足球比赛专有车辆的动态调度的机制以及三种动态调度模式,从而为我国大型足球比赛专有车辆调度的优化提供了理论参考。     

典型产品物流成本效率全过程分析研究

对物流成本效率的调查研究是交通运输促进物流业"降本增效"的重要基础工作。本文在搜集相关样本资料并进行数量统计分析的基础上,理清了部分典型产品物流成本效率实现的全过程,结合当前我国物流业发展的实际情况提出了相关结论与建议。     

关于碳质板岩隧道大变形机理及应对措施的探讨

兰渝铁路木寨岭隧道是在高地应力、碳质板岩等软弱围岩的复杂地质条件下修建的隧道,在碳质板岩段出现了明显的大变形和局部破坏。针对木寨岭隧道的大变形,文章分析了碳质板岩大变形发生的影响因素,探究了碳质板岩的塑变、板梁弯曲、剪切滑移、压杆破坏等大变形机理,提出了调整隧道围岩受力、加强支护、超前控制等施工措施。     

大中型悬索管道跨越结构清管动力响应分析

大中型管桥是油气输送管道系统中的关键部位，呈现高次超静定、高柔性的结构特点，清管过程中形成的积液将在管桥处产生强烈的冲击动载荷作用，破坏管桥结构的稳定性。考虑悬索管道跨越结构恒载产生的初始内力、拉索垂度等几何非线性因素，将塔架简化为变截面梁，建立了悬索管桥清管动力分析有限元模型。按照管桥积液流动具有的移动荷栽一时间历程的特性，采用荷载步施加移动载荷。结合实例分析了不同清管工况条件下悬索管桥跨越结构的振动位移、临界积液长度以及临界清管速度，从而为安全清管作业提供指导依据。     

新形势下物流园区及物流中心选址之影响因素分析

物流园区及物流中心作为物流体系中的重要组成部分,其选址的优劣将直接影响物流成本及物流运输效益。本文在电商物流迅速发展的背景下,首先分析了国内物流发展的新趋势及新变化,以充分发挥物流节点的功能为目的,结合国内物流发展的趋势,分析了影响物流园区及物流中心选址的主要因素,从而为在实际规划中制定合理的物流节点布局方案提供一定的决策依据。     

Planning for economic and environmental resilience

Climate protection will require major reductions in GHG emissions from all sectors of the economy, including the transportation sector. Slowing growth in vehicle miles traveled (VMT) will be necessary for reducing transportation GHG emissions, even with major breakthroughs in vehicle technologies and low-carbon fuels (Winkelman et al., 2009). The Center for Clean Air Policy (CCAP) supports market-based policy approaches that minimize costs and maximize benefits. Our research indicates that significant GHG reductions can be achieved through smart growth and travel efficiency measures that increase accessibility, improve travel choices and make optimum use of existing infrastructure. Moreover, we find such measures can deliver compelling economic benefits, including avoided infrastructure costs, leveraged private investment, increased local tax revenues and consumer vehicle ownership and operating cost savings (Winkelman et al., 2009).As a society, what we build – where and how – has a tremendous impact on our carbon footprint, from building design to transportation infrastructure and land-use patterns. The empirical and modeling evidence is clear – people drive less in locations with efficient land use patterns, high quality travel choices and reinforcing policies and incentives (Ewing et al., 2008). It is also clear that there is growing and unmet market demand for walkable communities, reinforced by demographic shifts and higher fuel prices (Leinberger, 2006, Nelson, 2007). Transportation policy in the United States must rise to meet this demand for more travel choices and more livable communities.The academic, ideological and political debates about the level of GHG reductions and penetration rates that can or should be achieved via smart growth and pricing on the one hand, or measures such as ‘eco-driving’ and signal optimization on the other, have served their purpose: we know which policies are ‘directionally correct’ – policies that reduce GHG emissions even though we may not know the scope of those reductions. Now is the time to implement directionally correct policies, assess what works best where, and refine policy based on the results. It is a framework that CCAP calls “Do. Measure. Learn.”The Federal government is poised to spend $500 billion on transportation (Committee on Transportation and Infrastructure, 2009). CCAP encourages Congress to “Ask the Climate Question” – will our transportation investments help reduce GHG emissions or exacerbate the problem? Will they help increase our resilience to climate change impacts or increase our vulnerability? And, while we’re at it, will our investment foster energy security, livable communities and a vibrant economy? Federal transportation and climate policies should empower communities to implement locally-determined travel efficiency solutions by providing appropriate funding, tools and technical support.     

Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model

This paper describes the representation of the activity planning process utilized in a new activity-based microsimulation model called the ADAPTS (Agent-based Dynamic Activity Planning and Travel Scheduling) model, which dynamically simulates activity and travel planning and scheduling. The model utilizes a dynamic activity planning framework within the larger overall microsimulation system, which is a computational process model that attempts to replicate the decisions which comprise time-dependent activity scheduling. The model presents a step forward in which the usual concepts of activity generation and activity scheduling are significantly enhanced by adding an additional component referred to as activity planning in which the various attributes which describe the activity are determined. The model framework, therefore, separates activity planning from activity generation and treats all three components, generation, planning and scheduling, as separate discrete but dynamic events within the overall microsimulation. The development of the planning order model, which determines when and in what order each activity planning decision is made is the specific focus of this paper. The models comprising the planning order framework are developed using recent survey data from a GPS-based prompted recall survey. The model development, estimation, validation, and its use within the overall ADAPTS system are discussed. A significant finding of the study is the verification of the apparent transferability of the activity planning order model.