多式联运同盟敏捷性评价研究

敏捷性是多式联运同盟的核心能力。在建立多式联运同盟敏捷性评价的综合评价指标体系基础上,利用层次分析法分析各指标的权重,然后采用灰色多层次关联分析评价不同多式联运同盟的敏捷性,用实例表明了该算法的有效性和实用性。     

带时间限制的最小费用运输问题的网络流解法

研究了带时间限制的最小费用运输问题,在分析了运量与运输时间关系的基础上,把运输时间划分成与运量无关和与运量有关的两部分;进一步根据已知的运输时间与运量的函数关系,把带时间限制的最小费用运输问题转化为最小费用最大流问题,给出了求解该问题的方法,并通过实例进行了计算。     

基于高速公路客运网络的小物件配送新方法研究

针对现有利用高速公路客运车辆捎带小件货物的现象,以基于高速公路网络的小物件配送作为研究对象,将这种点对点的捎货方式扩展为遍布山东省内整个客运网络的小物件配送研究,在阐述基本思想的同时提出可行方案,并建立数学模型进行求解,从而有效减少配送时间和配送费用,为小件货物运送提供新方式并为物流配送系统研究提供新思想。     

对公路施工企业信用评价的几点建议

对《公路建设市场信用信息管理办法》、《公路施工企业信用评价规则》中有关施工企业信用评价的规定进行简要介绍,并对其存在的问题进行分析,认为只有强化对项目法人的管理才能保证公路建设市场健康发展,结合实际情况,提出一些改进建议。     

公路建设BT项目的必然性和风险管理

分析了当今公路建设的趋势和BT项目的特点,并在此前提下指出了BT项目带来的经济效益和风险并存的实际情况,提出了风险管理的策略和办法。     

铁路货运改革如何适应现代物流市场竞争

中国铁路总公司实施货运组织改革,推动铁路货运全面走向市场,努力为全社会提供更加方便、快捷的铁路货运服务,此举也标志着铁路货运从以前"朝南坐"的经营方式彻底进行了改变,取而代之的是以客户为中心的经营思想,将参与物流市场蛋糕的分割,但作为一个长期受固有思想影响的企业,如何能适应现代物流市场的竞争,能否达到预期的目的,将给我们带来更多的思考。     

基于KPCA-SVM的公路客运量预测研究

支持向量机(Support Vector Machine,SVM)是建立在统计学习理论和结构风险最小化准则基础上的机器学习方法,该方法可以较好的解决以往很多学习方法的小样本、高维数、非线性和局部最小点等实际问题.本文利用支持向量机(SVM)回归理论和方法,建立基于核函数主成分支持向量机(Kernel Principal Component Analysis-Support Vector Machine,KPCA-SVM)回归模型,并用2000-2008年杭州市公路客运量为样本进行了预测,结果表明,KPCA-SVM模型具有较高的预测精度和可靠性,是一种有效的公路客运量预测方法.     

我国丝绸之路经济带物流设施效率分析--基于DEA 模型的M almqusit指数方法

“道路联通”既是实现丝绸之路经济带“贸易畅通”的基础保障,也是实现“民心相通”、“货币流通”和“政策沟通”并最终实现区域经济一体化和社会文化融合的助推器。采用DEA模型的M almqusit指数分析法对我国丝绸之路经济带物流设施效率进行了分析。分析得出结论：贸易环境负向变化是造成我国丝绸之路经济带交通基础设施效率下降的主要原因;提高经济带物流设施对经济的贡献不应只关注新增交通基础设施,更应关注现有物流设施的运营效率;为提高经济带交通基础设施的整体效率,今后交通基础设施建设的区域结构应倾向于陕西、江苏、山西、安徽等仍存在物流设施规模效率的省份。     

Reducing visitor car use in a protected area: a market segmentation approach to achieving behaviour change

This research uses a market segmentation approach to reducing transport-related environmental burdens from visitors, while maintaining economic benefit. The approach was tested in the Lake District National Park (UK). It aimed first to explore visitor transport behaviour using a social psychological framework, to understand what might best predict desired behaviour change (i.e. reduced visitor car use). Second, it developed and tested different types of marketing messages to reduce car use, based on persuasive communication theory, establishing marketing propositions appropriate to different visitor types and market segments. Third, it identified market segments with both a high propensity towards positive behavioural change and the highest economic contribution to the destination. The work is based on Ajzen's Theory of Planned Behaviour and on persuasive communication. Three hundred and ninety completed questionnaires were obtained. The paper emphasises the importance of context in successful communication to influence behaviour and shows that a market segmentation approach to behavioural change can be successful. Complex patterns of visitor mobility and modal choice emerge. For example “New Explorers” and “Familiar Families” are most likely to reduce their car use (45% and 48% respectively) and less likely to perceive this as difficult.     

Short-haul city travel is truly environmentally sustainable

With rising interest in and concern about climate change and environmental sustainability, and the significance of the tourism industry worldwide, the impact of tourism-related activities and behaviors on the environment has become a key area of research. In particular, transport related to tourism has come under scrutiny for its contribution to the ecological footprint of tourism of a destination, mostly accounted for by the dominance of air travel. This study contributes to research in this area by identifying the types of travel situations in which tourists make environmentally friendly choices about travel modes and, consequently, which types of tourism destinations should seek to develop and promote in order to minimize the environmental impact of the tourist sector on both an individual destination and global scale.