外倾式非对称曲线拱桥力学特性分析

针对一座外倾式非对称钢箱拱桥,通过利用桥梁结构专业软件Midas/civil建立其空间杆系有限元模型进行整体受力性能分析,探讨主要受力结构拱肋、吊杆以及钢箱主梁的力学特点;并通过外倾角的改变研究分析了吊杆内力随拱肋外倾角改变的变化规律,对于完善该类异型拱桥的设计理论、工程施工,确保结构安全、设计合理等方面都有一定的参考价值。     

Using automated walking gait analysis for the identification of pedestrian attributes

Collecting microscopic pedestrian behavior and characteristics data is important for optimizing the design of pedestrian facilities for safety, efficiency, and comfortability. This paper provides a framework for the automated classification of pedestrian attributes such as age and gender based on information extracted from their walking gait behavior. The framework extends earlier work on the automated analysis of gait parameters to include analysis of the gait acceleration data which can enable the quantification of the variability, rhythmic pattern and stability of pedestrian’s gait. In this framework, computer vision techniques are used for the automatic detection and tracking of pedestrians in an open environment resulting in pedestrian trajectories and the speed and acceleration dynamic profiles. A collection of gait features are then derived from those dynamic profiles and used for the classification of pedestrian attributes. The gait features include conventional gait parameters such as gait length and frequency and dynamic parameters related to gait variations and stability measures. Two different techniques are used for the classification: a supervised k-Nearest Neighbors (k-NN) algorithm and a newly developed semi-supervised spectral clustering. The classification framework is demonstrated with two case studies from Vancouver, British Columbia and Oakland, California. The results show the superiority of features sets including gait variations and stability measures over features relying only on conventional gait parameters. For gender, correct classification rates (CCR) of 80% and 94% were achieved for the Vancouver and Oakland case studies, respectively. The classification accuracy for gender was higher in the Oakland case which only considered pedestrians walking alone. Pedestrian age classification resulted in a CCR of 90% for the Oakland case study.     

广东地区高校动漫专业就业现状分析简

近年来动漫产业随着国家政策支持而迅速发展，动漫专业成为高校热门专业，但是动画专业却登上了就业的“红牌榜”。作者调研了广东地区十二所高校和七家动漫企业，采用调查法、文献研究法、数据统计法对就业现状进行分析，寻找原因和对策，为高校动漫专业的教学和就业提供参考。     

公路建设的资金运作模式

公路建设的投融资正在向多渠道发展.在介绍我国公路建设现状的基础上,阐述公路建设资金的主要来源方式,探讨当前投融资体制下公路建设面临的主要问题,指出要建立合理有效的公路市场融资机制,政府还要进一步考虑如何更好地把非公有资本导入公路建设领域.     

南宁枢纽高铁信号的过渡开通

按照高铁联调联试和开通运营的条件要求,主要阐述了新建柳南客专和南黎铁路、南钦铁路引入南宁枢纽在未按设计全面完成的情况下进行信号过渡开通的方法和步骤.在工程部分建成的条件下实现高铁信号的联调联试和过渡开通,对高铁建设项目而言是一个值得研究探讨的课题和有益的尝试.     

On the degradation of performance for traffic networks with oblivious users

We consider the problem of characterizing user equilibria and optimal solutions for routing in a given network. We extend the known models by considering users oblivious to congestion in the following sense: While in the typical user equilibrium setting the users follow a strategy that minimizes their individual cost by taking into account the (dynamic) congestion due to the current routing pattern, an oblivious user ignores congestion altogether; instead, he or she decides his routing on the basis of cheapest routes on a network without any flow whatsoever. These cheapest routes can be, for example, the shortest paths in the network without any flow. This model tries to capture the fact that a certain percentage of travelers base their route simply on the distances they observe on a map, without thinking (or knowing, or caring) about the delays experienced on this route due to their fellow travelers. In this work we study the effect of such users using as the measure of network performance its price of anarchy, i.e., the ratio of the total latency experienced by the users (oblivious or not) at equilibrium over the social optimum.     

言息化管理在公路运输经济中的作用

公路运输行业实行信息化管理可以促进公路运输经济的进一步发展。通过对信息化管理在公路运输经济中所发挥的作用进行讨论。提出了进一步加强公路运输信息化管理的相关建议，以促进公共交通事业的发展。     

Examining the influence of firm performance on business risk-taking and the mediation effect of scale of operations in the container terminal industry

Container shipping and its related service sectors help accelerate globalization of the world economy. This industry has been experiencing rapid growth, prompting container terminal operators to increase their handling capacity in response. Providing container terminal services requires substantial capital investment in physical assets such as cargo handling facilities and information systems. On the other hand, operating container terminals is a long-term investment that typically spans several business cycles. Hence prudent asset management using appropriate tools is critical for container terminal operators to sustain their businesses. Generally, due to risk-adverseness, investors are unwilling to take more risk in their investment unless they can reap a higher return. Contrary to this argument, this study finds no direct influence of better firm performance as a proxy of higher return on business risk-taking by container terminal operators. Instead, scale of operations is positively associated with business risk-taking, suggesting that container terminal operators with a larger scale of operations are willing to take more business risk.     

兰州市五人制足球运动开展现状调查分析

本文运用文献资料法、专家访谈法、问卷调查法、数理统计法对兰州市五人制足球运动的开展规模、教练员情况、场地设施、社会参与人群状况等问题进行调查分析,提出了针对性建议,旨在为进一步推动兰州市五人制足球的健康快速发展,同时促进兰州市足球运动的普及与提高尽一份力。     

The Bid-rent Land Use Model of the simple,efficient, elegant,and effective model of land use and transportation

Integrated land use/transportation forecasting models add significant policy and infrastructure alternatives analysis capabilities to the urban planning process. The financial, time, and staff requirements to develop these models has put them beyond the reach of most small to medium sized urban areas. This paper presents the land use allocation submodel of the Simple, Efficient, Elegant, and Effective model of land use and transportation (SE³M), an integrated land use and transportation forecasting model founded upon Economic Base Theory and Bid-rent Theory. The Bid-rent Land Use Model (BLUM) is an agent based, spatial competition model utilizing unique utility curves for willingness to pay and incomes for budget constrained abilities to pay for each agent. The model structure, estimation, calibration, implementation, and validation are presented. With a single year of land use data available, the validation approach used the Kappa Index of Agreement to spatially check model outputs against base year control data while controlling for agreement by chance. The U.S. territory of Guam is used as the case study/proof of concept implementation for this model framework. Once calibrated, BLUM could solve the spatial competition problem on Guam in less than two minutes of processing time with over 90% accuracy.