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.     

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at the same time, there are only few research studies that addressed the impact of reduced visibility on traffic crash risk. This research was conducted based on a new visibility detection system by mounting visibility sensor arrays combined with adaptive learning modules to provide more accurate visibility detections. The vehicle-based detector, Wavetronix SmartSensor HD, was installed at the same place to collect traffic data. Reduced visibility due to fog were selected and analyzed by comparing them with clear cases to identify the differences based on several surrogate measures of safety under different visibility classes. Moreover, vehicles were divided into different types and the vehicles in different lanes were compared in order to identify whether the impact of reduced visibility due to fog on traffic crash risk varies depending on vehicle types and lanes. Log-Inverse Gaussian regression modeling was then applied to explore the relationship between time to collision and visibility together with other traffic parameters. Based on the accurate visibility and traffic data collected by the new visibility and traffic detection system, it was concluded that reduced visibility would significantly increase the traffic crash risk especially rear-end crashes and the impact on crash risk was different for different vehicle types and for different lanes. The results would be helpful to understand the change in traffic crash risk and crash contributing factors under fog conditions. We suggest implementing the algorithms in real-time and augmenting it with ITS measures such as VSL and DMS to reduce crash risk.     

Direct formulation and algorithms for the probit-based stochastic user equilibrium traffic assignment problem

This paper proposes simple and direct formulation and algorithms for the probit-based stochastic user equilibrium traffic assignment problem. It is only necessary to account for random variables independent of link flows by performing a simple transformation of the perceived link travel time with a normal distribution. At every iteration of a Monte-Carlo simulation procedure, the values of the random variables are sampled based on their probability distributions, and then a regular deterministic user equilibrium assignment is carried out to produce link flows. The link flows produced at each iteration of the Monte-Carlo simulation are averaged to yield the final flow pattern. Two test networks demonstrate that the proposed algorithms and the traditional algorithm (the Method of Successive Averages) produce similar results and that the proposed algorithms can be extended to the computation of the case in which the random error term depends on measured travel time.     

Impact of regional population density on walking behavior

Land use can influence walking (measured by the number of steps) and so the health of people. This paper presents the result of empirical research on the impact of regional population densities (inhabitants per inhabitable area) on the number of steps (all steps, both outdoors and indoors). With data collected from almost 11,000 respondents in 148 Japanese regions, we estimate polynomial regression models, the total number of steps being the dependent variable and densities being the main independent variable. Regional population density significantly affects the number of steps after controlling for individual and household attributes. The estimated population density that maximizes the number of steps is around 11,000?persons/km². Increasing densities, up to levels of around 11,000?inhabitants/km², could increase walking and consequently the health of inhabitants. The population density elasticity of the number of steps is 0.046–0.049 in a simple log linear regression model without a peak.     

基于插补原理的船体复杂曲面加热线布置方法

船体曲面成形技术是船舶加工过程中重要的环节。如何更好更快实现船体复杂曲面加工,一致以来备受国内外学者的关注。本文借鉴插补原理,对传统船体复杂曲面加热线布置进行了优化设计,得到了圆弧形板、s形板、帆形板和马鞍板的加热线。采用COMSOL Multiphysics多物理场仿真软件,分析四种加热线下钢板变形情况,并通过实验检验了插补形式下的船体曲面成形效果。结果表明：(1)插补算法得到的船体曲面加热线路程比传统加热线路程节约75%以上。(2)对有限元计算位移进行曲面拟合,得到的预测模型与实际船体曲面基本一致。(3)实验了四种曲面加热线,并将有限元预测位移与实验进行对比,二者误差在6%以内,有限元计算与实验结果基本吻合。该方法降低加工时间,提高加工效率。     

近岸深水联排灌注桩施工工艺优化

采用传统的冲孔灌注桩施工工艺进行海上灌注桩施工时,往往会面临适用条件限制、环境污染、施工成本增加等问题。针对三亚凤凰岛项目海上冲孔灌注桩施工特点,介绍通过优化钢平台结构形式及布局设计、泥浆循环系统优化设计、结构稳定性计算、"四新设备"创新应用等措施,有效降低施工成本、提高施工效率、减少环境污染、提高施工质量。结果表明采取的工艺优化和平台改进措施效果良好、实用性强。     

中美欧日桩基承载力设计规范比较

针对中美欧日各国关于桩基设计方法的异同,在设计理论基础、单桩轴向抗压承载力、单桩抗拔承载力和水平承载力等方面进行了综合对比分析。并以工程实例为基础,计算了桩的抗压、抗拔极限承载力和折算允许值,得出中国规范安全裕度适中、水平承载力计算方法涵盖面广、可向海外推广的结论,并提出了工程设计中的关注点。     

陆域口岸项目施工阶段BIM技术应用

根据BIM技术的特点,以某陆域口岸项目为工程背景,介绍了BIM技术在该项目施工全过程的主要应用点与技术成果。该项目全面使用BIM技术,为项目施工全过程提供有力的技术支撑,确保了工程施工质量、降低施工风险,使得项目安全可靠完成,并为今后类似项目在施工全过程使用BIM技术积累了丰富的经验。最后,对项目未来运维阶段的BIM技术运用指出了研究方向。     

预成孔置换强夯法处理大型油罐软基工程应用

建设大型油罐软基处理的重点在于控制工后沉降和差异沉降,但普通强夯置换法存在置换墩体着底情况不良与地基工后沉降量大的问题,针对这个问题进行了普通置换强夯法的改进研究。采取预成孔工艺能解决墩体着底情况不良的问题,从而减少地基工后沉降量。预成孔置换强夯法是一种用于处理软弱土地基的施工工艺,具有工期短、造价低与绿色环保等优点,通过预成孔保证置换墩着底可靠性,从而成功控制了工后沉降和差异沉降,实际检测结果和充水预压试验证实了处理方案的可靠性。     

内河航道桥梁船撞时船体最大变形量研究

目前在桥梁船撞防护的专项设计或船撞力专题研究中,对船舶撞击力的研究和桥梁在船舶撞击作用下的响应关注较多,而对船体最大变形量的研究较少。基于ANSYSLS-DYNA软件,对4种不同载质量的内河代表船舶在3种航速、2种碰撞角度下撞击4种墩型的船撞工况进行数值模拟,提取船体最大变形量,并分析船体最大变形量与船舶载质量、撞击速度、桥墩类型及撞击角度的关联性,同时与经验公式做对比。研究结果表明,撞击速度及撞击角度是船体最大变形量的主要控制因素,桥墩类型与之关系不明显。