基于模糊c-聚类的港口多式联运结点布局规划

中国港口建设与港口经济的发展,使港口成了中国的门户,成了综合运输的核心枢纽,加快加强港口多式联运体系建设,已成为港口经济发展的必然趋势。本文在分析影响港口多式联运结点布局因素的基础上,采用改进后的模糊c-算法,把单目标问题转化为多目标问题,增加关于隶属度函数的二级目标,对港口多式联运结点布局进行研究,并以广州港为例,对本文所提出的模糊c-聚类算法的实用性进行了验证。     

远程教育扶贫网的系统运行

着重介绍了利用计算机、国际互联网和卫星技术,并配以辅助设备,实施远程教学,通过该系统使贫困地区的学生享受与发达地区学生同样的教育,实现科教扶贫之目的。     

International Comparisons of Labour Productivity in Transport and Communications: The US,the UK and Germany

We construct benchmark estimates of labour productivity covering the transport and communications sectors for the US, UK and Germany for 1992 and 1993. The US lead is substantial in rail and trucking, even after adjusting for differences in stage length, but Britain leads in air transport and all three countries have similar productivity levels in local transport. In telecommunications and postal services the US enjoys a large lead over both the UK and Germany. We compare these estimates based on industry data with ones derived from the national accounts and find them similar in communications but not in transport. For 1973–96, and also 1989–96, productivity was growing slower in the US, hence some of the gap has been closed.     

广州城市交通与土地利用研究

本文从广州市交通与土地利用现状入手 ,分析了广州市城市交通的发展及运输结构。在对城市总体土地利用状况描述的基础上 ,探讨城市交通土地利用现状。在此基础上分析广州城市交通与土地利用的互动关系 ,及目前城市交通与土地利用存在的主要问题 ,提出解决问题的办法之一为土地利用规划与城市交通规划一体化。     

Analysis of the Chinese Airline Network as multi-layer networks

This paper encapsulates the Chinese Airline Network (CAN) into multi-layer infrastructures via the “k-core decomposition” method. The network is divided into three layers: Core layer, containing airports of provincial capital cities, is densely connected and sustains most flight flow; Bridge layer, consisting of airports in Tier 2 and Tier 3 cities, mainly connects two other layers; and Periphery layer, comprising airports of remote areas, sustains little flight flow. Moreover, it is unveiled that CAN stays the most robust when low-degree nodes or high flight flow links are removed, which is similar to the Worldwide Airline Network (WAN), albeit less redundant.     

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.     

On the multi-dimensionality and sampling of air transport networks

Complex network theory is a framework increasingly used in the study of air transport networks, thanks to its ability to describe the structures created by networks of flights, and their influence in dynamical processes such as delay propagation. While many works consider only a fraction of the network, created by major airports or airlines, for example, it is not clear if and how such sampling process bias the observed structures and processes. In this contribution, we tackle this problem by studying how some observed topological metrics depend on the way the network is reconstructed, i.e. on the rules used to sample nodes and connections. Both structural and simple dynamical properties are considered, for eight major air networks and different source datasets. Results indicate that using a subset of airports strongly distorts our perception of the network, even when just small ones are discarded; at the same time, considering a subset of airlines yields a better and more stable representation. This allows us to provide some general guidelines on the way airports and connections should be sampled.     

The effect of continuous improvement capacity on the relationship between of corporate social performance and business performance in maritime transport in Singapore

Drawing on organisational learning theory, this study argues that shipping firms with high continuous improvement capacities have better success in transforming corporate social performance (CSP) into business performance. Survey data were collected from 223 shipping firms in Singapore and analysed using multi-sampling analysis, hierarchical regression modelling, and simple slope analysis. The results support the study’s argument and show that business performance is maximised when continuous improvement programmes targeted at CSP are carried out at a gradual pace and at regular intervals. This implies that shipping firms should adopt a dynamic, value-driven approach to improving CSP.     

A case study: The impact of low-cost carriers on inbound tourism of Saudi Arabia

This study investigates the impact of low-cost carriers (LCCs) on Saudi Arabia's tourism demand. It also provides an understanding of the relationship between air transport development and tourism development in the Gulf region. The Box–Jenkins SARIMA-X models were employed to model and forecast international tourist arrivals to Saudi Arabia, using monthly international tourist arrivals to Saudi Arabia from July 2010 to December 2015. The forecasting models were significantly accurate, with lower values of MAPE, MAP, and RMSE. The findings suggest that an increase in airline capacity, religious travel, and airline competition are associated with the increasing international tourist arrivals to Saudi Arabia. This also indicates that there is a positive relationship between air transport development and tourism development. Further aviation liberalisation in the Gulf region is discussed to give opportunities for the region's LCCs to increase their share of the increasing air travel demand, thereby enhancing tourism development.     

Sustainability in the Transport and Logistics Sector: Lacking Environmental Measures

Sustainability as part of the development of companies' business strategies is gaining in importance. Due to its impact on the environment, this is particularly essential for companies of the transport and logistics sector. This paper explores several factors that influence the environmental behaviour of transport and logistics companies in Austria. It discusses the importance of the economic impact on environmental management decision in detail and analyses the sector's specific characteristics in terms of environmental behavior. A case‐based approach involving multiple field studies with face‐to‐face expert interviews and secondary data analysis was used to evaluate environmental performance and specific practices. Using selected cases, we will demonstrate how environmental measures contribute to overall business performance and draw general conclusions regarding the transport and logistics sector. Furthermore, suggestions are given as to how the government can further support transport and logistics companies in this regard. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.