A parameterized consideration set model for airport choice: an application to the San Francisco Bay Area

Airport choice is an important air travel-related decision in multiple airport regions. This paper proposes the use of a probabilistic choice set multinomial logit (PCMNL) model for airport choice that generalizes the multinomial logit model used in all earlier airport choice studies. The paper discusses the properties of the PCMNL model, and applies it to examine airport choice of business travelers residing in the San Francisco Bay Area. Substantive policy implications of the results are discussed. Overall, the results indicate that it is important to analyze the choice (consideration) set formation of travelers. Failure to recognize consideration effects of air travelers can lead to biased model parameters, misleading evaluation of the effects of policy action, and a diminished data fit.     

基于GIS的山区道路灾害多发区段线路方案优选--以迫隆藏布流域为例

论述了基于GIS技术进行山区灾害多发地段线路方案优选的方法。在建立山区灾害区段选线的单因素分析层的基础上 ,提出了应用GIS技术提取山区灾害多发区段影响选线方案的信息。然后 ,应用层次分析方法 (AHP)实现灾害选线多因素的综合分析及多方案综合比选。最后以迫隆藏布流域某灾害多发区段为例验证了这种方法的有效性     

快速公交(BRT)线路布局优化研究

快速公交（BRT）是国际上公交发展的新模式。保证系统得以推广,同时应以低成本、显著见效为原则建设快速公交系统,因此对快速公交线路布局进行优化也是不可忽视的。为了探讨现有公共交通线网结构下如何优化BRT线路的布设问题．本文时快速公交线路布设的内部条件和外部条件进行了分析,并在此基础上依据快速公交的发展特点．以乘客的总出行时耗最小和车公里成本投入最小为目标,建立快速公交布局优化的模型．并且给出了优化目标和相应约束条件的函数表达式。通过事例分析对BRT线路布设优化算法进行说明．从而得知优化模型具有较高的应用价值。     

公路景观设计与所在地域环境的融合

简要介绍了公路景观存在的问题,提出了公路景观设计中路线及绿化与所在地域环境的融合问题。     

运行车速理论在公路路线设计中的应用

通过对车辆行驶特性以及车辆与公路线形相互关系的分析,论述了运行车速理论在公路路线设计中的应用,提出了以人为本的宽容设计理念。     

海事机构行政主体及相关法律问题

贵州航首整治工程量大,时间紧迫。进入90年代,人们逐步从粗放型管理向集约型管理进行转变,从计划经济向社会主义市场经济进行转变。航道整治工程的组织者们结合施工组织、工程进度、质量控制、费用控制等方向摆脱旧的思想观念的束缚,逐步从"人治"向"法制"转变,走出了一条崭新的工程施工组织管理之路。     

A nested recursive logit model for route choice analysis

We propose a route choice model that relaxes the independence from irrelevant alternatives property of the logit model by allowing scale parameters to be link specific. Similar to the recursive logit (RL) model proposed by Fosgerau et al. (2013), the choice of path is modeled as a sequence of link choices and the model does not require any sampling of choice sets. Furthermore, the model can be consistently estimated and efficiently used for prediction.A key challenge lies in the computation of the value functions, i.e. the expected maximum utility from any position in the network to a destination. The value functions are the solution to a system of non-linear equations. We propose an iterative method with dynamic accuracy that allows to efficiently solve these systems.We report estimation results and a cross-validation study for a real network. The results show that the NRL model yields sensible parameter estimates and the fit is significantly better than the RL model. Moreover, the NRL model outperforms the RL model in terms of prediction.     

共享单车现金奖励调度策略的用户接受意愿研究

为探讨共享单车用户在不同影响因素下对现金奖励调度策略的接受程度，设定了针对共享单车用户的调查问卷，并在济南市进行了调查，得到519份有效问卷。基于扩展的计划行为理论（Extended Theory of Planned Behavior, ETPB）模型和相关结构方程模型（Structural Equation Model, SEM），设定了社会规范、支付能力、体力、感知服务、感知绿色价值5个构念以及5个相关假定，以测度不同奖励调度情境下共享单车用户对奖励策略的接受程度。结果显示，支付能力和体力对用户接受调度的影响程度最大，其次是社会规范和感知服务，感知绿色价值的影响程度最小。在此基础之上，提出了增大站点密度、实行现金奖励及提高车辆质量等建议，以降低运营成本、提升用户满意度与车辆使用率。     

Cellpath: Fusion of cellular and traffic sensor data for route flow estimation via convex optimization

A new convex optimization framework is developed for the route flow estimation problem from the fusion of vehicle count and cellular network data. The issue of highly underdetermined link flow based methods in transportation networks is investigated, then solved using the proposed concept of cellpaths for cellular network data. With this data-driven approach, our proposed approach is versatile: it is compatible with other data sources, and it is model agnostic and thus compatible with user equilibrium, system-optimum, Stackelberg concepts, and other models. Using a dimensionality reduction scheme, we design a projected gradient algorithm suitable for the proposed route flow estimation problem. The algorithm solves a block isotonic regression problem in the projection step in linear time. The accuracy, computational efficiency, and versatility of the proposed approach are validated on the I-210 corridor near Los Angeles, where we achieve 90% route flow accuracy with 1033 traffic sensors and 1000 cellular towers covering a large network of highways and arterials with more than 20,000 links. In contrast to long-term land use planning applications, we demonstrate the first system to our knowledge that can produce route-level flow estimates suitable for short time horizon prediction and control applications in traffic management. Our system is open source and available for validation and extension.     

Equilibrium analysis and route guidance in large-scale networks with MFD dynamics

Recent studies have demonstrated that Macroscopic Fundamental Diagram (MFD), which provides an aggregated model of urban traffic dynamics linking network production and density, offers a new generation of real-time traffic management strategies to improve the network performance. However, the effect of route choice behavior on MFD modeling in case of heterogeneous urban networks is still unexplored. The paper advances in this direction by firstly extending two MFD-based traffic models with different granularity of vehicle accumulation state and route choice behavior aggregation. This configuration enables us to address limited traffic state observability and to scrutinize implications of drivers’ route choice in MFD modeling. We consider a city that is partitioned in a small number of large-size regions (aggregated model) where each region consists of medium-size sub-regions (more detailed model) exhibiting a well-defined MFD. This paper proposes a route guidance advisory control system based on the aggregated model as a large-scale traffic management strategy that utilizes aggregated traffic states while sub-regional information is partially known. In addition, we investigate the effect of equilibrium conditions (i.e. user equilibrium and system optimum) on the overall network performance, in particular MFD functions.