【摘 要】
：
In this paper,we introduce the passenger choice behavior of drivers in the ride sharing market of China.Hitch,as an increasing popular ride sharing service available in the ride souring platforms in C
【机 构】
：
Southeast University
论文部分内容阅读
In this paper,we introduce the passenger choice behavior of drivers in the ride sharing market of China.Hitch,as an increasing popular ride sharing service available in the ride souring platforms in China,provides the drivers opportunities to choose the passengers they prefer.To understand ride sharing drivers passenger choice behavior,a stated preferences(SP)survey was designed and implemented.An ordered choice model is developed considering drivers observed taste heterogeneity and random effects with panel data.Based on the SP survey data,the proposed model is estimated.Behavioral findings are analyzed based on the estimation results.Ride sharing drivers passenger choice behavior is significantly affected by not only the attributes that are trip specific,but also the characteristics of drivers and passengers,and their interactions.Value of beauty(VOB),and value of credit(VOC)are both defined and calculated.It is found that compared with beautiful levels and the credits,the charges are not so important to drivers in China.In addition,the implications of drivers passenger choices on equality,travel supply and demand analysis,policy making and ride sourcing platform operation are discussed based on the findings from estimation results.Based on the discussions,the information provisions in the ride sharing platform should be serious considered in the future not only for the privacy or equality issues,but also the efficiencies of both the ride sourcing platform and urban transport systems.
其他文献
在我国无车承运人试点工作结束的契机下，本文从无车承运人企业未能形成闭环运单的问题入手，以市场的闲散运力与碎片化需求为研究主体，对无 车承运人平台的运力调度问题进行研究。在云计算的环境下，通过构建基于Hadoop 平台的多源信息获取系统以对实际的路况、交通等信息进行获取，并建立时间最短的目标函数，设计粗粒度并行遗传算法，利用MapReduce 与HDFS 进行求解，将输出信息设定为运力调度中车货匹配
本文从城市公交行业实际运营需求出发，基于城市公交年服务总量，创新性地提出了年百万公里成本指标，构建了公交车成本模型，为公交运输企业对电动公交车成本进行全面评价提供了具有较高操作性的方法。利用实地调研获得的深圳市案例数据，测算分析了深圳市纯电动公交车和传统公交车的成本差异，得出2016 年得益于国家在购置补贴和运营环节的大力补贴，纯电动公交车较传统公交车具有较大成本优势。并对2017 年后购置补贴的
随着我国智能交通系统和智能汽车的快速发展，智能公路的发展和建设越来越备受关注，也成了世界交通发达国家的研究和发展的热点。本文主要阐述智能公路概念和体系架构，分阶段总结回顾了智能公路的发展进程和智能公路在世界各国的最新发展情况，同时介绍了智能公路建设和发展的关键性技术，对一些对于智能公路建设有借鉴意义的世界各地智能汽车试验场进行了整理，同时介绍各国对于智能公路的政策引导以及我国的智能网联汽车和智慧交
文章选取了青藏铁路公司、太原铁路局、昆明铁路局和呼和浩特铁路局为代表性站段，构建了太阳能应用效益指标体系，对不同地区铁路站段太阳能的应用效益进行评价。通过实地调研的方式获得相关数据，并利用带有偏好锥的数据包络模型——CCWH 模型对四个站段太阳能应用的综合效益进行评价。结果 表明，昆明铁路局具有最高的太阳能应用效益，太原铁路局次之。基于评价结果，提出了我国铁路站段太阳能的应用建议。
随着我国经济的快速发展，交通事业也取得了长足的发展，特别是以公平、竞争为核心的社会主义市场经济体制的确立及完善，招投标工作已经成为交通公路工程建设的重要组成部分，直接关系着交通公路工程质量的提高及造价的控制。因此，新形势下，必须正视交通公路工程招投标过程中存在的诸多问题，并采取针对性强且切实有效的措施，进一步完善交通公路工程的招投标体制，保障我国交通公路事业的顺利、稳定发展。
One important objective of urban traffic signal control is to reduce individual delay and improve safety for travelers in both private car and public bus transit.To achieve signal control optimization
动力吸振器是工程实际中一种常用的振动控制技术，对运输车辆和运输环境噪声降低具有至关重要作用。利用参数识别理论对所要优化的系统进行了动态特性实验，得出了主系统固有频率、阻尼比以及动力吸振器参数的变化范围。采用粒子群优化算法，以最小化主系统振幅倍率的最大值为目标，对动力吸振器的参数进行了优化。
为了得到货车油耗预测模型,通过车联网记录的速度数据预测油耗,基于陕西汽车公司车联网系统的货车速度-油耗数据,选取驾驶员可控的车速相关因素作为油耗的影响因素,用相关性分析与实际数据分析证明了六个因素对油耗存在影响,进而采用广义回归神经网络(General Regression Neural Network,GRNN)建立货车油耗预测模型.为了验证GRNN神经网络的预测性能,将其与BPNN 神经网络模
This paper attempts to propose a method to measure and evaluate the network performance by identifying regions with serious mismatch problems between travel demand and transport network services.Perfo
Chinas car ownership continues to grow,resulting in a growing problem of automobile congestion,which contributes to the increased contribution of traffic pollution to air pollution.It has been shown t