基于线性叠加的智能船舶经济性评估模型构建

经济性是智能船舶能否实现推广应用的关键,目前国内外有关智能船舶经济性分析的研究较少。本文通过对传统船舶经济性分析方法进行修正优化,提出智能船舶经济性分析计算模型,并根据理论推导结果,得出智能船舶经济性分析的线性叠加简化模型,并利用40万吨级VLOC实际运营数据进行科学性检验。本文提出的模型与方法适用于各类智能模块加装情况下的经济性核算,为相关单位开展智能船舶经济性快速分析提供了理论支持和解决方案。     

公共自行车使用时空特性挖掘及租还需求预测

基于宁波市公共自行车刷卡数据、POI(Point of Interest)数据、气象和空气质量等数据，从数据驱动视角，深入挖掘公共自行车使用的时空特征及站点租还车需求预测。在时间上，采用KMeans算法，将站点聚为5类，探讨各类站点的时变需求规律及影响因素；在空间上，提出基于POI 数据的站点用地类型识别方法，将站点分为居住类、交通设施类、办公类和商业休闲类。构建以 15，30，60 min 为间隔，以租还车需求为目标变量的随机森林预测模型，并与常用的 BP (Back Propagation)神经网络、K最近邻方法进行比较。结果表明，随机森林模型的精度更高，适用性更强。以30 min为间隔的站点租还车需求预测精度最高，考虑站点土地利用类型后能有效提高模型的预测精度。本文结果可作为未来站点平衡调度的依据并推广应用于共享单车系统，为改善服务水平提供技术和理论支撑。     

Widening the Panama Canal and U.S. ports: historical and economic impact analyses

ABSTRACT

The economic history of the U.S. illustrates how the role of many cities has been changed by being seaports or located on navigable rivers or lakes. Based on the widening of the Panama Canal in 2016, the West Coast ports that include the west coast seaports of California, Oregon, and Washington were expected to become less important, while the freight shares of the East Coast and Gulf ports would increase. By how much it has been not easy to measure or predict so far, but this study attempted to define some of the key parameters in the measurement. As well as several relevant background topics, both the demand- and supply-side versions of the National Interstate Economic Model, have been applied for the measurement of economic impacts. U.S. port authorities and policy makers at the local and national levels who respond and develop plans for coping with the new realities of the Panama Canal are able to understand the extent to which changes in shippers’ and land-mode transporters’ behaviors would undermine the logistics and the costs of their activities. Therefore, this study is important for a diverse spectrum of port development strategies in the U.S. to respond to the Canal expansion.     

Integrated models of land use and transportation for the autonomous vehicle revolution

ABSTRACT

The advent of the autonomous vehicle (AV) will affect not only the transportation system, but also future patterns of land development. Integrated land use and transportation models will be critical tools in assessing the path forward with this technology. Key questions with respect to land use impacts of AVs arise from potential changes in sensitivity to travel and reduced demand for parking. It is an open question whether AVs will induce urban sprawl, or whether spatial economies of agglomeration will mitigate any reductions in travel time sensitivity. The deployment of shared fleets of AVs would likely reduce parking demand, producing yet to be explored impacts on property development within existing urban footprints. We perform a critical assessment of currently operational models and their ability to represent the adoption of AVs. We identify the representation of time in such models as a vital component requiring additional development to model this new technology. Existing model applications have focused on the discrete addition of new infrastructure or policy at a fixed point in time, whereas AV adoption will occur incrementally through time. Stated adaptation surveys are recommended as tools to quantify preferences and develop relevant model inputs. It is argued that existing models that assume comparatively static equilibrium have been convenient in the past, but are insufficient to model technology adoption. In contrast, dynamic model frameworks lack sufficient structure to maintain reasonability under large perturbations from base conditions. The ongoing advancement of computing has allowed models to move away from being mechanistic aggregate tools, towards behaviourally rich depictions of individual persons and firms. However, much work remains to move from projections of existing conditions into the future, to the evolution of the spatial economy as it evolves through time in response to new technologies and exogenous stresses. Principles from complex and evolutionary systems theory will be important in the development of models with the capacity to consider such dynamics.     

时间社会学视角下老年人对家庭出行行为的影响研究

为阐述家庭微观社会情境中老年人与同住成员之间的行为交互对个体出行决策的影响，本文从时间社会学视角出发，以昆明市有老年人家庭为分析单元，用家庭贡献度量化老年人家务活动的分担程度，构建结构方程模型揭示老年人对家庭成员日常活动时间结构的影响，进而剖析成员间的活动交互影响机理.结果表明：老年人家庭贡献度增加时，成员间在非通勤活动上的交互效用减弱；由于女家长在时间结构上呈现隐形的“时间贫困”特征，其在活动-出行模式上受老年人家庭贡献度的影响显著高于男家长；与此同时，老年人作用下女家长在非通勤活动出行决策时优先考虑家务活动的时间安排，而男家长则优先考虑自由活动的安排.     

造船经济论证方法的探讨

船舶经济分析是船舶技术经济论证的主要环节之一,但传统的造船经济论证方法存在着一定的缺陷。为此,充分考虑各个因素的不确定性,考虑经营的风险性,对传统的造船经济论证方法加以综合改进,形成新的造船论证方法——计算机模拟方法。与传统方法相比,计算机模拟的方法在最终结果的处理上更有现实意义。     

城市中心区停车设施供应研究

随着城市化进程的加快，我国机动车拥有量及道路交通量急剧增加，停车问题已成为诸多城市的难题。本文在分析了城市中心区停车设施供应的影响因素的基础上，建立了停车设施供应与停车需求关系模型以及停车设施供应与路网容量平衡关系模型，对如何合理确定城市中心区停车泊位供应量进行了探讨，并在浙江省台州市滨海工业城启动区块的停车设施供应规划中得到应用，可为我国城市中心区静态交通设施规划提供借鉴。     

从温州经济模式学到的经验

叙述了温州经济模式的发展 ,并总结了温州模式的思想精髓     

应用巴列特统计方法降低工程成本的实践

文章简述了巴列特（Pareto）统计分配法的基本要点，并结合天津港南疆工作船码头工程的施工实例，应用巴列特法进行了分析，明确了该工程中节省成本的重点项目、内容及节省成本的贡献率，从而有针对性地制定了相应的成本控制和节约措施，经过实践，收到了较好的效果。     

论港口建设工程造价的全过程管理

港口建设工程造价的控制与管理是一个动态的过程,文中重点分析了在项目投资决策阶段、项目设计阶段、项目实施阶段和竣工阶段全过程造价管理的方法与侧重点,以提高投资效益。