城市轨道交通建设中土地效益开发模式探讨

城市轨道交通建设项目投资大、回收期长,如何实现项目的未来收益多元化和经营的可持续发展,一直为人们所关注。现行建设模式以银行贷款为主,导致固定利息支出过高,影响项目未来的融资能力,造成项目资金无法平衡。土地效益开发模式研究了土地资源及其衍生效益,提出了土地效益开发的相应方案。     

风浪中螺旋桨水动力变化的实用计算方法

风浪中螺旋桨水动力变化规律是研究舰船在风浪中速航性能的重要方面。本文参照有关文献,提出了一种计算风浪中螺旋桨推力、转矩损失的实用定量计算方法,既可用于较精确地估算舰船在风浪中的增阻和失速,还可供提高舰船在风浪中速航性的研究和螺旋桨设计参考。     

InSAR技术在采空区铁路选线中的应用

采空区沉降变形会直接影响铁路工程的建设及运营安全,需要对其变形进行勘察分析并评估影响.通过工程实例,应用InSAR(合成孔径雷达干涉测量)技术结合物探及钻探等手段,对某采空区影响进行综合评价.在收集既有地质资料及矿区资料的基础上,首先采用2007～2011年日本ALOS-PALSAR及2016～2018年欧空局Sent...     

舰载机起降指导技术研究现状及发展趋势

介绍了航空母舰舰载机起降指导技术的研究现状,论述了基于纵摇运动的舰载机起飞指导方珐,及光学助降系统等着舰指导方式的特点、原理．介绍了全天候自动着舰系统以及着舰决策支持工具,讨论了起降指导系统的未来研究方向．     

孕源断链在土地沙漠化防御技术中的实践剖析

基于灾害的链式理论对现今土地沙漠化问题进行了分析,指出土地沙漠化无论在成因上还是在危害性的表现结果上都呈现出复杂的链式效应,并依据灾害链式效应指出不合理耕作、开采地下水、砍伐树木、过度放牧及日益恶化的生态环境是形成土地沙漠化灾害链的源头因素.根据孕源断链的治灾思路,提出治理沙漠化应从其孕育初期的源头上控制灾害蔓延,切断灾害传播链,并从工程实践入手对其成效进行剖析。     

城市轨道交通网络化客流特征及成长规律——基于京沪穗深城市轨道交通网络客流数据分析

中国各大城市轨道交通将陆续进入网络化运营阶段,然而对于网络化进程中客流特征及成长规律尚缺乏深入细致的分析与研究。对北京、上海、广州、深圳4个城市轨道交通网络化进程中的客流特征及成长规律进行系统总结,涉及客运量及客运强度、断面客流量分布、线网换乘系数、乘距与运距、客流时间分布等。同时,针对轨道交通沿线土地利用、线网规模、服务水平、票制票价等影响客流特征变化的主要因素进行分析。在此基础上,对当前中国城市轨道交通规划、建设、运营组织的若干关键问题提出建议。     

长江上游某港区总平面布置

针对长江上游某港区复杂的自然条件和通航环境以及典型的山区地形建设条件,分析港区总平面布置主要影响因素及技术问题,合理地布置码头,较好地解决了大水位差水工结构和装卸工艺设计问题。通过理念创新和技术创新,提出12 m重车间距的双线"C"型两支点双车翻车机,成功采用防风网基础与管线带结合布置和轨道基础内部设置排水沟等节约用地的优化方案,充分发挥了上游地区造地的作用。     

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.     

The “field of safe travel” revisited: interpreting driving behaviour performance through a holistic approach

The present paper proposes a conceptual framework for the driver’s visual–spatial perceptual processes. Based on a theoretical analysis of driving proposed by Gibson and Crooks [(1938). A theoretical field-analysis of automobile-driving. The American Journal of Psychology, 51, 453–471. doi:10.2307/1416145], the developed field of safe travel (FoST) framework suggests that at any moment the driver constructs a “field” by integrating two perceptual entities: (i) the possible available spatial fields for locomotion and (ii) the driver’s mental image of ego-vehicle outer-line and motion dynamics. This framework is used to reinterpret in a unified way a number of disparate research findings reported in the literature concerning specific driving sub-tasks (e.g. lane keeping and car following). It is argued that the FoST framework may be used to predict drivers’ behaviour in various traffic/situation environments based on their prioritisation between the above two perceptual entities. Implications of the proposed framework at a theoretical and practical level, in view of the future of driving with multiple levels of automation, are also discussed.     

A logit-based model for measuring the effects of transportation infrastructure on land value

Mutual interactions between transportation and land use have long been debated. Despite progress made in computational technology, the study of these interactions is not adequately developed. The most important aspect of such interactions is given by the changes in land values due to changes in transportation infrastructures. We consider the behavioural features of these interactions along with the constraints on the land and/or zoning restrictions and propose a reliable model for the first time to predict land value changes with respect to changes in transportation facilities and accessibility. The proposed model is a logit-based mathematical programming methodology where the relative price of land is predicted with respect to transportation accessibility, neighbourhood amenities, location premium, availability of land, and zoning regulations. A real-world case study is used to exhibit the applicability of the proposed methodology and demonstrate the efficacy of the algorithms and procedures.