我国客运索道及用钢丝绳的发展

客运索道是快速发展的运输形式，我国目前已建成约300条客运索道，现已成为线材制品企业的重要服务项目。密封钢丝绳和多种线接触钢丝绳是索道常用的钢丝制品，生产索道用钢丝绳的企业已完成大量有效的研究工作，实现了钢丝绳制造和质量水平的飞跃。     

智能钢丝绳检测仪的原理与应用

丝绳的安全安全问题是所有钢丝绳使用单位都必须密切关注的问题，本介绍了一种智能钢丝绳检测仪的工作原理及其应用特点，中所涉及的MTW－2A型钢丝绳检测仪为1997年原国家劳动部重点科研项目《在役钢丝绳缺陷检测及监控网络运行模式》的一部分，于1998年能过鉴定。     

国内最大索道用承载索生产装备及技术

超长度索道用钢丝绳是钢丝绳生产企业的一个难题。宁夏恒力钢丝绳股分有限公司设计制造的K-8／1650成绳机及相关生产技术的应用，解决了超长度索道用钢丝绳的国产化难题，提高了索道用钢丝绳的使用寿命。     

国外架空索道用钢丝绳综合评述

凭借笔认识，给定架空索道用钢丝绳定义、解析其涵盖范围，综介国外对架空索道用钢丝绳作用的评估。重点介绍美国钢公司、日本东京制钢株式会社、英国波耒顿钢丝绳公司、奥钢联等国际名的线材制品企业对架空索道用钢丝绳的推介及应用。     

日月潭水深千尺 不及两岸同胞情——记湖南省张家界市港、澳、台胞联谊会副会长、黄石寨客运索道公司总经理张辅仁

本文记述了我国第一条台海两岸合资的大型旅游客运索道－黄石寨客运索道总经理张辅仁先生在大陆限期创业，强化企业管理，在企业营运和促进两岸和平统一做出的成绩。     

钢丝绳疲劳损伤漏磁监测的试验研究

本文分析了钢丝绳疲劳损伤与其技术磁化性能的关系，通过疲劳试验研究了钢丝绳周向漏磁密度随钢丝绳疲劳循环次数的变化规律，经历疲劳弯曲运动的钢丝绳，其周向漏磁密度随循环次数增加而增强，分布趋向不均匀，而直线运动的钢丝绳，其周向漏磁密度逐渐减少，分布趋向均匀。     

选择恒力产品 获取最佳回报

以密封钢丝绳和圆股钢丝绳构成的架空索道用钢丝绳产品系列，是我们生产的产品家族中主要的产品品种之一。     

索道钢丝绳无损检测实践

根据索道不同的结构,MTC系列钢丝绳定量检测仪在索道钢丝绳检测中的应用分为三种情况：钢丝绳上带有固定抱索器。钢丝绳上无障碍物和承载绳。     

基于无损检测结果的钢丝绳状态评价的研究初探

论述了钢丝绳失效模型,提出以钢丝绳的最大破断拉力损失作为钢丝绳强度的评价指标,并以断丝,磨损,锈蚀为例,分析了三种缺陷形式对钢丝绳状态的影响。     

桁车卷筒钢丝绳自动排绳装置的研制与应用

结构简单，使用可靠的自动排绳装置，能使起重钢丝绳在卷筒上整齐、紧密自动排列，钢丝绳不受挤檫损伤，确保使用安全，延长使用寿命。     

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.