美国校车及其紧急逃生研究

从美国校车发展历程、校车管理以及校车安全标准3个方面概述美国校车。一旦发生紧急情况,紧急逃生对于保障学生安全举足轻重,而国内相关研究相对薄弱。从常见紧急情况、紧急逃生原则、紧急逃生演练等不同视角详细阐述美国校车事故的紧急逃生,对于改善中国校车安全现状具有积极意义。     

Blue growth and ocean governance—how to balance the use and the protection of the seas

The economic value of the oceans and maritime industry is strongly gaining in importance. As the oceans are very large and particularly sensitive ecosystems, which need to be preserved, a balance between the use and the protection of the seas has to be found. On this issue, the paper presents some thoughts starting with a brief analysis of what to understand by maritime industry which is labeled as blue economy, and a recapitulation of the main threats for the marine environment, caused by blue economy. After that, some noteworthy prerequisites and criteria for finding a sound balance between the use and the protection of the seas will be highlighted, especially the need for sustainable ocean governance is put to discussion.     

Environmental innovation and the role of stakeholder collaboration in West Coast port gateways

The paper explores the role of stakeholder collaboration in the adoption of innovations as part of the environmental and sustainability agenda of port gateways. We do this through a comparative assessment of the port of Vancouver, British Columbia, and the twin ports of Los Angeles and Long Beach, California. An inductive research approach is used to identify and assess the initiation and implementation process behind exemplary innovations. Innovation includes new technologies and processes for handling and moving cargo, mechanisms for planning and policy making, as well as financing, implementing, upgrading, managing and operating infrastructure systems. A relatively new arena for competition on the basis of innovation concerns environmental performance. The conceptual framework and empirical evidence suggest that while there may be intense demand for and supply of innovation in port gateways, the complex dynamics of the logistics chain are such that successful innovation requires conscious involvement and collaboration of stakeholders.     

Evaluation of factors for carrier selection in the China Pearl River delta

The efficient integration of logistics modes is critical for international cargo shipping. The local transportation connecting to the export port then plays a vital role in such integration. This paper investigates the problems of carrier selection in the China Pearl River delta area, with respect to international shipping. The analytical hierarchy process (AHP) model is constructed based on a comprehensive industrial interviews and statistical analysis. Rather than simply ranking the given alternatives, we use AHP is used to analyse the weakness and strength of impacting factors in carrier selection. The model is implemented under different types of shipper. Seven criteria are statistically summarized from the questionnaire for evaluating eight different modes. The results are useful to those liner companies serving the PRD region in relationship to port selection and fleet deployment.     

Effect of proposed CO2 emission reduction scenarios on capital expenditure

The International Maritime Organisation is currently working on establishing regulations for international shipping regarding greenhouse gas emissions, and a cost-effectiveness approach has been suggested as one method for determining the necessary reductions in emissions from shipping. Previous studies have investigated the CO₂ emission reduction potential for the world shipping fleet up to 2030 and the associated marginal abatement cost levels. To analyse the cost implications of different emission reduction scenarios, this study has calculated the emission reduction potential and additional capital expenditure for 25 CO₂ emission reduction measures applied to 59 ship segments. The expected fleet development over time, keeping track of new ships built from 2010 to 2030 and Existing ships built prior to 2010 and still in operation by 2030, have been modelled. Two alternative approaches to find the cost-effective potential in the world shipping fleet have been applied. One approach is to implement only measures which in themselves are cost-effective (measure-by-measure), and another approach is to implement measures as long as the net savings from cost-effective measures balance the costs of non-cost-effective measures (set of measures). The results demonstrate that by 2030, the majority (93%) of the reduction potential will be related to new ships. Our results show that the measure-by-measure approach would decrease the CO₂ emissions by 30% for new ships while the set-of-measures approach with 53% (of the 2030 baseline emissions of 1316?Mt). The implication of achieving such emission reduction is an increase in the capital expenditure on New ships by 6% (USD 183 billion) and 27% (USD 761 billion), respectively, in the period 2010 to 2030 compared to a business-as-usual scenario. The measure-by-measure approach yields a 5% decrease in CO₂ emission per 1% increase in capital expenditure, while the set-of-measures approach yields a 2% decrease per 1% increase. This is due to the significant variation in capital intensity of the different measures, ranging from almost zero to USD 200 per tonne of CO₂ averted. The results of this study are useful for the shipping industry to assess the economic burden that must be shouldered in order to implement abatement measures under different CO₂ emission reduction scenarios.     

Situation analysis forecasting: the case of European maritime clusters

Within the literature concerned with aspects of competitiveness, innovation and strategic management of industrial clusters, the body regarding forecasting of strategic management is still nascent. This work aspires to render a contribution within the domain of strategic management forecasting, through the indicative case of European maritime clusters. For this end, a two-tier model is formulated. A quantitative strengths, weaknesses, opportunities, and threats (SWOT) methodology that derives from the fusion of a quondam situation analysis and crosstabs’ theory is generated. This leads to the utilization of the crosstab’s conditional probabilities as transition probabilities; the latter are called to compile the transition matrix of a Markov chain. Through this methodology, and the successive Markov chain’s transition matrices, strategic forecasts are extracted for a devised European maritime cluster case. This work relinquishes a novel application with respect to strategic management forecasting, that provides a dichotomy of practical interpretations and scenarios for quantitative situation analysis. Thus, it may enable effective real-time decision-making for strategic management and/or policy drafting. The situation analysis forecasting model may find applicability in a plethora of practical and theoretical cases, wherein forecasting may be desirable. It may as well pertain to an intrinsic methodology for situation analysis forecasting of maritime clusters.     

金融危机下，导航企业怎样生存

虽然金融危机爆发已经好几个月了,但真正的危机将在2009年春节后到来,现在只不过是个“危机预热期”。在此情况下,我们的导航地图业如何保持业绩持续增长,在危机期间凸显新兴行业的潜力呢？     

A novel physiological index for Driver’s Activation State derived from simulated monotonous driving studies

Automobile driving in monotonous situations such as driving for long periods and/or travelling a familiar route may cause the lowering of the driver’s awareness level or what we term here as a Driver’s Activation State (DAS), resulting in an increased risk of an accident. We propose here to develop means with which to create an in-car environment so as to allow active driving, hopefully thus avoiding potentially dangerous situations. In order ultimately to develop a validated activation method, we firstly set out to examine physiological variables, including cardiovascular parameters, during simulated monotonous driving. Subsequently, we investigated the derivation of a suitable DAS index. During the experiment, a momentary electrical test stimulus of 0.5 s duration was applied at a rate of approximately once per 10 min to the subject’s shoulder to evoke a physiological responses. In 11 healthy male volunteers we successfully monitored physiological variables during the experiment and found particular patterns in the beat-by-beat changes of blood pressure in response to the electrical test stimulus. This finding, explained by autonomic activity balance, suggests that the patterns may be used as an appropriate and practicable index relevant to the Driver’s Activation State.     

Modelling inter-urban transport flows in Italy: A comparison between neural network analysis and logit analysis

In the present paper a modal split problem is analysed by means of two competing statistical models, the traditional logit model and the new technique for information processing, viz. the feedforward neural network model. This study aims to explore the modal split between rail and road transport modes in Italy in relation to the introduction of a new technological innovation, the new High-Speed Train. The paper is sub-divided into two major parts. The first part offers some general considerations on the use of neural networks in the light of the increasing number of empirical applications in the specific area of transport economics. The second part describes the Italian case study by using the two above mentioned statistical models. The results highlights the fact that the two adopted models, although methodologically different, are both able to provide a reasonable spatial forecasting of the phenomenon studied. In particular, the neural network model turns out to have a slightly better performance, even though there are still critical problems inherent in its application.