国际城市地下综合管廊研究的文献特征与研究热点分析

为揭示地下综合管廊领域的知识结构和发展脉络，明晰地下综合管廊领域的研究热点和前沿，以Web of Science和Scopus数据库中1970—2018年收录的综合管廊相关文献为研究对象，借助可视化软件CiteSpace绘制综合管廊研究知识图谱，对综合管廊研究进行发展态势分析、合作特征分析、文献共被引分析以及关键词共现分析。研究发现：目前综合管廊研究呈快速发展的趋势；研究成果较为丰硕的国家为中国、美国、西班牙、英国、加拿大、日本，最富有成效的作者为Curiel Esparza J和Canto Perello J；研究热点主要集中在可行性、决策、投融资、规划、设计、施工、风险、安全、运维、管理方面；未来综合管廊研究趋势与热点将集中在投融资模式创新与应用、绿色建造技术及一体化建设、信息化及智能化运维管理、可持续发展等方面。最后，对综合管廊后续研究提出加强跨学科合作和治理研究的建议。     

乙肝疫苗接种策略的进一步探讨

应用决策树模型进行净效果和费用—效益分析,对我国乙肝疫苗接种策略作综合评价。结果显示:新生儿为首选接种人群,其次是0～3岁婴幼儿,并优选直接接种方案。虽然7岁以后接种产生负效益,但由于仍可获得相当可观的净效果,因此建议,在适当时机应扩大疫苗接种对象。     

停车费率对客运枢纽停车行为的影响研究——以苏州市汽车南站为例

基于对苏州市汽车南站的停车行为调查,分析停车收费、停车后的步行距离、停车场使用的方便程度以及停车目的等对停车行为的影响,确定停车者停车的效用函数,建立分析停车者停车行为的多项Logit模型,并验证模型的可行性。     

基于NL模型的交通方式划分

方式划分是交通规划理论的重要内容之一,传统的Logit模型忽略了各交通方式之间的相互关联性,在实际应用中导致各交通方式的分担率误差过大.NL模型在传统Logit模型的基础上加以改进,利用分层划分交通方式的原则,将具有相同特性的出行方式划分为一个层次,从而克服了传统Logit模型的IIA特性.通过算例验证,该模型具有较高...     

中国国家快速综合交通网演变预期比较研究

分析了国家宏观交通基础设施规划对中国快速综合交通网(NRCTN)演变的影响.利用Dijkstra算法,设计了包括节点单位旅行时间、系统整体旅行时间以及节点可达性系数在内的评价指标,构建了基于可达性的交通网络综合评价模型,结合GIS技术,对由(高速)铁路、高速公路及民航3种交通方式组成的国家快速综合交通网在基年(2010...     

张承高速崇礼至承德界段主线工程设计

在满足规范的条件下,考虑山区项目特点,对路线进行优化,以增加安全度,降低土石方量.针对路基、路面、排水设施、桥梁、涵洞、隧道构造物等工程弱项,逐一提出安全对策,消除隐患.考虑人身安全和材料的经济适用性,安全设施、公用设施设计采用统一标准.     

Applications of Random-Utility-based Multi-region Input–Output Models of Transport and the Spatial Economy

Abstract

An introduction to random-utility-based multiregional input–output models used for the purpose of spatial economic and transport interaction modelling is provided. The main methodological developments and important results of a dozen applications from the years 1996–2013 are described. This is followed by an outlook of potential future directions. Further research is mainly needed in five areas: (a) overall validation of the method, perhaps through back-casting applications on infrastructure plans with observed trade impacts; (b) extensions of trade coefficient models to add realism and improve accuracy; (c) the use of multi-scale modelling to capture interdependencies between geographical scales and to improve the representation of exports and imports; (d) improvements in the representation of price effects, as well as innovation and technological progress, by way of variable technical coefficients; and (e) a deeper investigation of the algorithm used to include elastic selling prices.     

Random regret minimization or random utility maximization: an exploratory analysis in the context of automobile fuel choice

Interest in alternative behavioural paradigms to random utility maximization (RUM) has existed ever since the dominance of the RUM formulation. One alternative is known as random regret minimization (RRM), which suggests that when choosing between alternatives, decision makers aim to minimize anticipated regret. Although the idea of regret is not new, its incorporation into the same discrete choice framework of RUM is very recent. This paper is the first to apply the RRM‐model framework to model choice amongst durable goods. Specifically, we estimate and compare the RRM and RUM models in a stated choice context of choosing amongst vehicles fuelled with petrol, diesel and hybrid (associated with specific levels of fuel efficiency and engine capacity). The RRM model is found to achieve a marginally better fit (using a non‐nested test of differences) than its equally parsimonious RUM counterpart. As a second contribution, we derive a formulation for regret‐based elasticities and compare utility‐based and regret‐based elasticities in the context of stated vehicle type choices. We find that in the context of our choice data, mean estimates of elasticities are different for many of the attributes and alternatives. Copyright © 2011 John Wiley & Sons, Ltd.