Exploring the relationship between truck load capacity and traffic accidents in the European Union

Applying econometric techniques to EU28 panel data and controlling for explanatory variables such as road types, we find that increased truck load capacity does not necessarily aggravate road traffic safety. Specifically, heavy trucks do not seem to be linked with greater numbers of traffic fatalities/accidents, medium trucks appear to be the worst performers in terms of fatalities, and light trucks seem to be the worst for accidents. In summary, our results clarify the complex relationship between truck load capacity and road safety, pointing to the existence of a negative correlation for accidents per capita and an inverse U-shaped curve for fatalities per capita.     

A multi-objective sustainable load planning model for intermodal transportation networks with a real-life application

Growing importance of intermodal transportation necessitates modeling and solving load planning problems by taking into account various complex decisions simultaneously like transportation mode/service type selection, load allocation, and outsourcing. This paper presents a mixed-integer mathematical programming model for a multi-objective, multi-mode and multi-period sustainable load planning problem by considering import/export load flows to satisfy transport demands of customers and many other related issues. Several multiple objective optimization procedures are utilized in order to handle conflicting objectives simultaneously under crisp and fuzzy decision making environments. A real-life case study is also performed to present application and usefulness of the proposed model.     

Travel and tourism competitiveness index: The impact of air transportation,railways transportation,travel and transport services on international inbound and outbound tourism

The objective of the study is to examine the impact of air transportation, railways transportation, travel and transport services on international inbound and outbound tourism in a panel of 19 tourists - oriented countries, over a period of 1990–2014. By applying principal component analysis, the study constructs travel and tourism competitiveness index for inbound and outbound tourism. The main constructs of inbound tourism index include international tourists' arrival, tourism receipts, receipts of passengers' transports items and travel items while the constructs of the outbound index include international tourists' departure, tourism expenditures, and expenditures for passengers transport and travel items. The result of panel Fully Modified OLS (FMOLS) regression shows that the presence of air transportation, railways transportation, and trade openness positively affect inbound tourism index, while travel and transport services negatively affect tourism competitiveness index. The causality results confirm the bidirectional relationship between inbound tourism, air transportation, railways passengers carried, trade openness and travel and transport services, while there is a unidirectional causality running from inbound index to railway goods transported, from air transport freight to trade factor, and from travel services to air transport freight. Outbound tourism index confirmed the bidirectional causality relationship with air transportation, railways transportation, and travel and transport services, while the causality running from outbound index to trade factor, from air transport passenger carried to travel services, and from railway goods transported to trade and transport services, which support the unidirectional causality relationship between them. The variance decomposition results show that air transportation freight is the contributor that largely influences inbound-outbound tourism, while railways passengers carried and trade openness has the least share to influence inbound and outbound tourism index for the next 10-year period. The impulse response function indicates that air transportation, railways transportation, trade openness and travel services will positively impact on inbound truism while travel and transport services will positively affect outbound tourism for the next 10-year period. The study concludes with the importance of transportation sector that deem desirable to promote tourism worldwide. The concentration of different modes of transportation including air transportation, railways transportation, and travel and transport system would helpful to advance international tourism.     

The influence of neighborhood environment and household travel interactions on school travel behavior: an exploration using geographically-weighted models

Professional and popular interest in active school transportation (walking and cycling) is matched by an emerging literature on this topic. This paper explores school travel behavior of 11-year old children in Toronto, Canada. In particular, the effects of the neighborhood environment and caregiver-child travel interactions on travel mode choice were studied. Results indicate that the built environment near both home and school locations was associated with the odds of walking. However, predicted built environment effects were less accurate in some neighborhoods. Availability of adults at the time of school travel likely encouraged driving. School transportation interventions that broadly consider school and neighborhood-oriented policies and enable independent mobility may increase walking rates. Presence of spatial autocorrelation in the prevalence of walking suggests that more research is required to understand inter-household similarities in behaviors that are spatially structured.     

交通运输投资宏观经济效应分析——基于乘数模型的应用

文章基于乘数理论及投资乘数模型对交通运输投资宏观经济效应进行分析,设置了边际交通消费倾向,并推导出交通最终消费需求模型;运用交通消费倾向,证明了交通运输发展对推动产业结构优化的作用和缩小地区差距的功能。     

A strategic approach to improve sustainability in transportation service procurement

This paper focuses on the procurement of full truck-load transportation service with the view to ensuring sustainability in transport logistics. The carrier assignment problem (CAP) involved in truck load contract auction is studied using a complete enumeration method and heuristic approach. Performance of both methods is compared in terms of solution quality and computational time based on the results of sample problems considered. Also, the impact of combinatorial bidding on reducing empty haul in real world case is analyzed and environmental sustainability is achieved through reduction in carbon foot print.     

经济转型期交通运输企业财务管理中存在的问题及对策

文章提出了经济转型期交通运输企业在财务管理中存在的诸多问题,比如财务管理目标定位没有突出核心价值等,并有针对性地提出了对策,希望能够为经济转型期的交通运输企业提供借鉴。     

铁路货运场站拓展物流服务功能的探讨

铁路货运场站作为物流系统重要的结点,能拓展物流服务功能,提升物流增值效用,对铁路发展具有重要的意义。基于此,分析了铁路货运与物流的相互关系,提出了铁路货运场站拓展物流服务功能的发展思路,并就铁路货运场站可拓展的物流增值服务功能、物流综合服务、可增强的现有服务以及拓展物流服务功能的途径等进行了深入的探讨。     

基于GNNM(1.1)模型的货运量及货运周转量预测

通过各种算法对货运指标进行有效预测,对于把握未来货运发展趋势有着非常重要的作用。文章将灰色预测与神经网络预测方法进行了有机结合,建立了一个基于灰色神经网络的预测(GNNM)模型。通过模型对货运量及货运周转量进行了预测,得到了较满意的结果,表明了模型具有较高的可靠性及实用性。     

基于交通视角的新疆城市等级体系演变研究

通过主成分分析、集中度系数、非均衡系数以及改进的重力模型对新疆各城市的交通运输综合水平、复合流量的集中程度和基于复合流量的城市引力及引力节点分析,得出结论:①1985—2005年新疆城市交通运输综合水平变化明显,国道和北疆铁路沿线城市发展水平较高,发展水平较低的城市主要集中在南疆,且比较分散;②集中度系数波动明显,乌鲁木齐、克拉玛依、昌吉、阿克苏等城市对新疆客货流影响较大,而区域非均衡系数较低,呈现明显缩减的趋势;③受绿洲城镇发育程度和自然地理条件影响,各等级节点数量变化不大。乌鲁木齐、克拉玛依、昌吉、石河子在不同年份对新疆各城市的影响较为明显,节点等级较高。④基于交通视角的城市体系呈现出交通运输中心区域不断强化,二级节点城市变化明显,经过20年的演变,基本形成了以乌鲁木齐都市圈为核心,以石河子为次级中心,以喀什和米泉为三级中心,以克拉玛依、伊宁、乌苏、库尔勒为重要节点的城市体系。