Hub location problems in transportation networks

In this paper we propose a 4-index formulation for the uncapacitated multiple allocation hub location problem tailored for urban transport and liner shipping network design. This formulation is very tight and most of the tractable instances for MIP solvers are optimally solvable at the root node. While the existing state-of-the-art MIP solvers fail to solve even small size instances of problem, our accelerated and efficient primal (Benders) decomposition solves larger ones. In addition, a very efficient greedy heuristic, proven to be capable of obtaining high quality solutions, is proposed. We also introduce fixed cost values for Australian Post (AP) dataset.     

抽样调查中无回答误差的分析与调整

分析无回答误差产生的原因和影响,在抽样调查的过程中,结合市场调查的次序和方式采取无回答误差的预防措施。对已经产生无回答的数据,用样本替代法和加权调整法对缺失数据进行调整,这两种方法都提高了调查数据的可靠性和准确性,有效降低无回答率。     

地理因素、制度供给与区域经济差异

虽然导致国内区域之间经济发展差距拉大的原因多种多样,但是,如果进行分类研究,则不难发现,地理因素(如海拔、水资源适宜度、距离核心经济区的远近等)在区域经济增长中起基础性和长期性的作用,而制度供给(如对外开放的次序、经济区的布局等)则在区域经济增长中起关键性的作用。因此,中西部和东部地区应结合区位条件尽快制定对外开放、经济区划分进程表,并通过产业聚集、城市群建设、市场经济体制的建立和交通基础设施的建设等,促进区域经济发展。     

农村金融发展对农村经济和农民收入的影响研究——基于VEC模型的实证分析

本文基于2001—2009年的季度数据,通过构建一个向量误差修正模型,实证分析了中国农村金融发展对农村经济增长以及农民收入增加的影响。结论表明,中国农村金融发展对农民收入增加产生了显著的影响,同时中国农村金融发展、农村经济增长以及农民收入增加之间存在长期的均衡关系。     

Exploring the use of travel information – identifying contextual market segmentation in Seoul, Korea

As the amount of information is rapidly growing, and ubiquitous urban environments are emerging, the question which kind of information to provide is a major challenge for commercial and public travel-information service providers alike. This paper reports the analyses of recent data, collected in Metropolitan Seoul, about the acquisition of travel information. The study applies CHAID analysis to find homogeneous segments in travel information acquisition. Findings indicate that contextual variables are crucial to explain information acquisition behaviour, depending on decision context. The implication is that both socioeconomic and contextual variables are important to better understand the acquisition (and provision) of travel information. The results have important implications for managers and policy-makers, in particular in the way they respond to dynamic, contextual market segmentation.     

基于到达角误差约束的稳健宽带波束合成算法

针对阵列天线存在系统误差的情况,在Frost结构的基础上提出了一种改进的稳健宽 带波束合成算法。该算法以信号到达角（DOA）误差为约束条件合成期望信号,并把滤波器 优化设计转化为凸优化问题,使用内点迭代法有效解决,进一步使得期望的信号响应具有一 定的波动性,从而使得更多的自由度应用在干扰和噪声的抑制上,达到优化加权制的目的。 仿真结果表明,当系统存在一定的DOA误差、幅相误差和位置误差时,所提出的宽带波束合 成算 法获得的信干噪比（SINR）比worst-case约束算法提高约1～3 dB。     

协同通信系统中差分调制在Rayleigh衰落信道中的误码性能分析

根据源-中继-目的节点链路的等效信噪比模型,推导了检测传送和选择检测传送两种 协议下目的节点瞬时信噪比的概率密度函数和特征函数,基于此推导了协同DMPSK调制近似 误符号率的闭合表达式。推导结果不含积分表达式,方便计算,为系统设计和功率分配提供 了理论基础。最后通过仿真验证了推导结果的正确性。     

中国城镇化水平和就业结构关系的协整分析

本文利用协整理论、误差修整模型和Granger因果检验理论,对中国三次产业就业比重与城镇化水平之间关系进行了对比分析,结果表明二者之间是长期均衡关系;城镇化水平的提高促进了第一、二产业就业结构的调整;第三产业就业规模的快速发展促进了城镇化建设。     

World market integration for export and food crops in developing countries: a case study for Mali and Nicaragua

Using a generalized error correction model, this article measures and compares market integration for export cash crops versus imported food crops for Mali and Nicaragua, and computes transmission elasticities between changes in the goods’ border and domestic prices. Both Mali and Nicaragua obtain the bulk of their export revenue from a particular agricultural commodity—cotton for Mali and coffee for Nicaragua—and both import the same key staple food of rice. To reap the economic gains from this trade specialization, the two countries’ agriculture must be well‐integrated into world markets. The two countries present an important policy contrast that affects their degree of world market integration and price transmission. In Mali, a parastatal enterprise controls its cotton industry, while Nicaragua has less state direction over agriculture. Reflecting this difference, the results show that for both its main export and import commodity, Nicaragua is more integrated into world markets and has higher price transmission than Mali. The results for Nicaragua also show much higher integration and price transmission for its main agricultural export (coffee) than its major import (rice).     

一种基于微波雷达回波信号的车型分类方法

车辆类型识别方法是智能交通系统的关键技术之一。利用深度学习的高维特征泛化学习能力,将改进的LeNet-5卷积神经网络用于基于交通微波雷达的大小车型分类识别。首先,以雷达触发前的N帧信号为基础,对雷达的回波信号进行分析并构建数据集;然后,分析LeNet-5卷积神经网络的特点;最后提出一种改进的LeNet-5卷积神经网络。实验结果表明,与传统的支持向量机方法相比,所提方法能够智能学习大小车的雷达时频信号特征,大小车型识别准确率达到97%以上,可为交通场景下的车型识别研究提供新的技术途径。