道路运输管理机构急需统一名称

如今，用“五花八门”来形容各地的道路运输管理机构名称并不算过分，“道路运输管理局”、“运输管理局”、“道路运输局”、“公路运输管理局”、“交通运输管理局”同时存在，有的单位还冠以”xx省交通运输厅”或“xx省交通厅”，这类混乱在县（市）一级单位同样存在。     

情系民生利社会 创新服务惠万家——广西壮族自治区道路运输管理局“十一五”回顾与“十二五”展望

作为广西壮族自治区交通运输厅直属的行政执法事业单位,广西壮族自治区道路运输管理局（以下简称“广西运管局”）根据有关法律法规的授权,履行政府对道路运输行业的行政管理职能,主要负责本自治区行政区域内从事道路旅客运输经营、道路货物运输经营和道路运输相关业务的指导、监督,维护道路运输市场秩序,保障道路运输安全,保护道路运输经营者和旅客、货主以及其他服务对象的合法权益。     

创新管理提升服务水平抢抓机遇实现又好又快发展—广西壮族自治区道路运输管理局

广西壮族自治区道路运输管理局（简称广西运管局）成立于1985年，是自治区交通运输厅直属事业单位，内设13个科室，     

积极推进道路客运业健康发展——在中道协道路客运转变发展方式经验交流会上的讲话

今天,我们在武汉召开2011年中国道路运输协会旅客运输工作会议暨道路客运转变发展方式经验交流会,我非常高兴能有这样的机会和同志们一起共同探讨道路客运行业发展的问题。在这里,我首先代表交通运输部对大会的召开表示热烈的祝贺,并代表中国道路运输协会对全体与会代表表示热烈的欢迎,对湖北省交通运输厅和省道路运输管理局、省道路运输行业协会给予本次会议的大力支持致以诚挚的谢意,对长期以来关心和支持道路客运行业发展的社会各界人士表示衷心的感谢。     

道路运输经理人制度建设任重道远——道路运输经理人制度建设向纵深推进

2011年4月30日，交通运输部职业资格中心在青岛组织召开了道路运输经理人考试大纲座谈会，资格中心魏东副主任、道路运输司柴晓军调研员、山东省交通运输厅道路运输管理局胡培合副局长和青岛市交通委员会杨效林副主任出席会议并讲话。12个省、自治区、直辖市道路运输管理机构、部分道路运输企业和院校的领导和专家参加了座谈会。2011年6月8日，交通运输部下发了关于印发道路运输经理人从业资格实施办法的通知。     

从道路客运成本看运价管理改革

党的十六大报告提出：“在更大程度上发挥市场在资源配置上的基础性作用，健全统一、开放、竞争、有序的现代市场体系”。这一论断为健全现代道路运输市场体系，改善道路运输行业管理指明了方向。目前，道路客运市场体系还不健全，市场分割、市场垄断现象仍比较严重，以市场为基础的价格形成机制尚未完全建立。因此，为全面掌握当前道路客运成本的真实水平，给道路运价政策的制定提供科学依据，湖北省道路运输管理局组织调查组于2002年月至11月，对湖北省道路客运成本与运价进行了调研。调研期间，共走访了9家客运企业，收集了70余份“道路…     

发挥交通运输优势 促进中俄睦邻友好——李刚司长调研黑龙江省国际道路运输

李刚司长指出,黑龙江省与俄罗斯相邻的五个边区、州全部开通了国际道路客货运输,客货运输线路已达57条,其中,延伸线路26条,初步构成了黑龙江国际道路运输的网络体系,这个成绩的取得来之不易,意义深远。1月22日至25日,交通运输部道路运输司司长李刚、道路运输司综合处(国际道路运输处)副处长许宝利一行,在黑龙江省交通运输厅副厅长朱金玉、省道路运输管理局局长梁旭、省口岸汽车运输管理办公室副主任李文阁等全程陪同下,先后视察了黑龙江同江口岸、抚     

从被动到主动 科技彰显实力

6月21日，全国道路客运“海格智慧”科技助力行动之安全节能知识大讲堂走进浙江。中国道路运输协会常庆宪副秘书长、郭平主任，浙江省道路运输管理局方文理副局长，浙江省道路运输协会郭良副会长，苏州金龙黄书平副总经理等领导出席大讲堂活动。活动由浙江省交通运输厅运输处黄小斌副处长主持。     

道路运输经理人制度建设向纵深推进

2011年4月30日,交通运输部职业资格中心在青岛组织召开了道路运输经理人考试大纲座谈会,资格中心魏东副主任、道路运输司柴晓军调研员、山东省交通运输厅道路运输管理局胡培合副局长和青岛市交通委员会杨效林副主任出席会议并讲话。12个省、自治区、直辖市道路运输管理机构、部分道路运输企业和院校的领导和专家参加了座谈会。2011年6月8日,交通运输部下发了关于印发道路运输经理人从业资格实施办法的通知。     

“三会”一体 精干高效——全国道路运输管理队伍建设工作座谈会等在渝召开

为了深入贯彻落实交通运输部《关于加强道路运输管理队伍建设的指导意见》,有力推动道路运输管理队伍正规化建设。2011年11月2日上午,全国道路运输管理队伍建设工作座谈会在重庆隆重召开。会议由交通运输部道路运输司副司长王水平主持,全国各省（自治区、直辖市）交通运输厅分管厅领导、道路运输管理局局长参加了会议。《运输经理世界》杂志社特派记者全程参加了本次会议的全部报道事宜。     

Space,money, life-stage,and the allocation of time

Demographic, socioeconomic, seasonal, and scheduling factors affect the allocation of time to various activities. This paper examines those variables through exploration of the 1990 Nationwide Personal Transportation Survey, which has been inverted to track activity duration. Two key issues are considered. First, how much can activity duration and frequency explain travel duration? The analysis shows activity duration has positive and significant effects on travel duration, supporting recent arguments in favor of activity based models. Second, which recent trend is the main culprit in the rise in travel: suburbanization, rising personal incomes, or female labor force participation? This paper examines the share of time within a 24-hour budget allocated to several primary activities: home, work, shop, and other. The data suggest that income and location have modest effects on time allocation compared with the loss of discretionary time due to working.

     

Automation of paratransit reservation,routing, and scheduling

Santa Clara County, California experienced a sharp growth in demand‐responsive paratransit ridership for individuals with disabilities, as a result of the passage of the 1990 Americans With Disabilities Act (ADA). This paper describes an automated paratransit system for the ADA‐type paratransit operation implemented in Santa Clara County. It automated paratransit reservation, scheduling, and routing functions. The key components of this system were a digital geographic database (DGD) and an automated trip scheduling system (ATSS). Empirical evidence after one year of operation indicates numerous benefits of this automation. There were significant reductions in the paratransit operating costs and an increase in the percent shared rides. The savings in operating costs far exceeded the annualized capital cost of automation. A user survey indicates that these improvements were achieved without degradation to service quality such as vehicle on‐time performance, invehicle travel times, vehicle response to open return, and ride comfort.     

Estimation of missing traffic counts using factor,genetic, neural,and regression techniques

Analyses from some of the highway agencies show that up to 50% permanent traffic counts (PTCs) have missing values. It will be difficult to eliminate such a significant portion of data from traffic analysis. Literature review indicates that the limited research uses factor or autoregressive integrated moving average (ARIMA) models for predicting missing values. Factor-based models tend to be less accurate. ARIMA models only use the historical data. In this study, genetically designed neural network and regression models, factor models, and ARIMA models were developed. It was found that genetically designed regression models based on data from before and after the failure had the most accurate results. Average errors for refined models were lower than 1% and the 95th percentile errors were below 2% for counts with stable patterns. Even for counts with relatively unstable patterns, average errors were lower than 3% in most cases.     

Integrated scheduling of m-truck,m-drone,and m-depot constrained by time-window,drop-pickup,and m-visit using constraint programming

The idea of deploying unmanned aerial vehicles, also known as drones, for final-mile delivery in logistics operations has vitalized this new research stream. One conceivable scenario of using a drone in conjunction with a traditional delivery truck to distribute parcels is discussed in earlier literature and termed the parallel drone scheduling traveling salesman problem (PDSTSP). This study extends the problem by considering two different types of drone tasks: drop and pickup. After a drone completes a drop, the drone can either fly back to depot to deliver the next parcels or fly directly to another customer for pickup. Integrated scheduling of multiple depots hosting a fleet of trucks and a fleet of drones is further studied to achieve an operational excellence. A vehicle that travels near the boundary of the coverage area might be more effective to serve customers that belong to the neighboring depot. This problem is uniquely modeled as an unrelated parallel machine scheduling with sequence dependent setup, precedence-relationship, and reentrant, which gives us a framework to effectively consider those operational challenges. A constraint programming approach is proposed and tested with problem instances of m-truck, m-drone, m-depot, and hundred-customer distributed across an 8-mile square region.     

Activity sequencing,location, and formation of individual non-mandatory tours: application to the activity-based models for Columbus,Cincinnati, and Cleveland,OH

Most of the earlier activity based models (ABMs) largely relied on a tour-based modeling paradigm which explicitly predicts tour frequency and then adds details including stop frequency, order, and location of stops within each tour. The current study is part of new tour formation design framework for an ABM in which the underlying tour structure and the stop frequency within tours emerge from temporal, sequencing, and locational preferences of activities that the traveler intends to participate during the day. In order to do this, the study developed a modified rank-ordered logit (ROL) framework that is capable of modeling sequence, locations, as well as the underlying tour structure of all activity episodes simultaneously in an integrated manner. Model estimation with the household survey data, provided several important behavioral insights into underlying choices that drive tour formation. Specifically, the study uncovered pairwise ordering preferences among episodes of different activity purposes, clustering tendencies among episodes of same activity purpose, the impact of supply side activity opportunities on the location and sequence choice dimensions, and impedance effects (including distance and mode and time-of-day logsums) on location and tour break dimensions. The developed models are incorporated in the operational ABM structure adopted for three major cities (Columbus, Cleveland, and Cincinnati) in Ohio.     

A game model of international trade,transport costs,invasive species,and protocol compliance

We study the duopolistic interaction between two monopolists located in two different countries who sell an imperfect substitute good in two markets. The traded good is transported between the two nations on ships using solid wood packing materials (SWPMs) and hence the presence of one or more invasive species is a problem. We use a game model to analyze this interaction in three steps. First, we study the benchmark case of autarky or no trade between the two nations. Second, we introduce transport costs and then study the effect of free trade on the profits of the two monopolists. Finally, we suppose that invasive species are present in the SWPMs. This fact requires compliance with an environmental protocol. We model this compliance by increasing the transport costs associated with trade and then demonstrate that a version of the so called Porter hypothesis holds. In other words, we show that compliance with a cost increasing environmental protocol can give rise to higher profits for the two monopolists under consideration.