Increase of metro line capacity by optimisation of track circuit length and location: In a distance to go system

The signalling system affects the type of service that can be provided on any particular railway line. The aims set when it comes to designing these systems to operate a railway line are: to ensure safety of operation and to ensure flexible and efficient running. When building a line capacity optimisation algorithm, it must reach a compromise solution between two parameters: minimise the interval between trains and keep journey time as low as possible. This paper aims to describe the algorithm developed between METRO DE MADRID and CITEF (Railway Technology Research Centre of the Universidad Politécnica de Madrid – UPM) that allows the capacity of an underground line equipped with ATP Distance To Go systems to be studied and optimised. This algorithm facilitates the tasks of signalling design and optimisation. Copyright © 2010 John Wiley & Sons, Ltd.     

Measuring unobserved prices using the structural time-series model: The case of cycling

This study presents a means of determining a historic (generalised cost based) price index for cycling in the UK for the period 1949–2006 using annual demand data. By specifying demand as a function of generalised price and income and then applying a structural time-series model to elucidate the unobserved component of prices (while controlling for observed income levels), it is illustrated that the role of prices in influencing demand is non-trivial. Over the sample period price responses generally influence demand for cycling to a greater extent than income effects.     

Attribute‐based perceptual mapping using discriminant analysis in a public sector passenger bus transport company: A case study

This study aims at evaluating the customer expectations in a public sector passenger transport company, a crucial sector in developing countries like India. A questionnaire containing 18 quality characteristics was administered to various customers of three bus depots of one division of a state road transport undertaking in South India. Attribute‐based perceptual mapping using discriminant analysis was done to position the three depots and to identify their strengths and weaknesses. The findings would help prioritize different parameters and also provide guidelines for managers to focus on and to improve. Copyright © 2012 John Wiley & Sons, Ltd.     

Vertical evacuation in hurricanes: An urgent policy problem for coastal managers

Abstract

Evacuation inland ("horizontal evacuation") is the traditional method of saving life in areas forecast as the site of hurricane landfall. But “high confidence”; warning time is only 12 hours, while some coastal areas are now so densely populated that twice that time is required for evacuation. Coastal managers must therefore risk the ire of local citizens “unnecessarily”; evacuated early, and the associated risk that several false alarms will reduce citizen compliance, or the risk that evacuation will be too long delayed.

The alternative of vertical evacuation (going upstairs in hurricane‐proof buildings) is resisted by planners who are concerned that its risks are too high and that partial acceptance of the concept would vitiate compliance with the horizontal component. But in some areas there may no longer be a choice: prudent coastal managers must determine the potential need and capability for vertical evacuation in their areas. Effective integration of both vertical and horizontal evacuation will require development of new plans and policies.     

Probabilistic modelling of the ultimate strength of ship plates with non-uniform corrosion

This paper presents the results of a parametric study of probabilistic modelling of the ultimate strength of ship plates with non-uniform corrosion represented by random fields. The load-shortening behaviour of the plates with non-uniform reduction of thickness due to corrosion under longitudinal compression is obtained using a general-purpose nonlinear finite element analysis program. A nonlinear time-dependent corrosion model is used to define the probabilistic characteristics of the random fields based on corrosion data measured in plate elements at different locations of bulk carriers. Based on the probabilistic models derived by Monte Carlo simulation, equations to predict the mean and the 5 % characteristic value of the ultimate strength of plates with non-uniform corrosion are developed. Finally a regression equation is proposed to take into account the effect of non-uniform corrosion patterns in the predictions of the ultimate strength of plates with uniform corrosion.     

Modelling and forecasting the demolition market in shipping

ABSTRACT

We model the demolition market, an integral part of the international shipping industry. It is shown through the implementation of a Vector Autoregressive (VAR) model that international steel-scrap prices contribute decisively towards price discovery in the ship-demolition industry. Our finding is explained and attributed to the fact that the growth models of Southeast Asian countries, where the ship-demolition market is primarily located, rely on scrap metal imports. These are mainly obtained from the developed economies rather than the recycling of vessels. We then proceed to test the forecasting ability of our model and use it for price prediction in the ship-demolition market. We establish that it provides the decision-makers with a useful prediction tool which enables all stakeholders involved, the ship owner, the recycler and the cash buyer alike, to gain valuable insights of the underlying trend in the sector.     

IAME 2001: Contemporary research in global shipping and logistics

The establishment and implementation of a training programme requires a training needs assessment (TNA). Without this approach, more often than not, training programmes have failed to succeed and to make such an assessment the instructional designer, i.e. the person in charge for this work, needs to follow a methodology. Unlike the other industries, the port industry has neglected the use of these methodologies, which is shown by the lack of research work published in academic journals. With a view to fill the existing gap, the paper proposes a five-step TNA methodology to be used in the port industry and applies its first three steps to investigate the port training situation in the new European Union member states. To achieve this objective, the paper is structured in the following way: Section 1 puts the research work into context; section 2 addresses the role of ports; section 3. presents a port TNA methodology; section 4. explains research methodology; section 5 addresses port training issues in the new European-member states; and section 6 presents conclusions and further comments.     

Distributions of travel time variability on urban roads

Reliability is an important factor in route, mode and also departure time choice analysis and is a key performance indicator for transport systems. However, the current metrics used to measure travel time variability may be not sufficient to fully represent reliability. Better understanding of the distributions of travel times is needed for the development of improved metrics for reliability. A comprehensive data analysis involving the assessment of longitudinal travel time data for two urban arterial road corridors in Adelaide, Australia, demonstrates that the observed distributions are more complex than previously assumed. The data sets demonstrate strong positive skew, very long upper tails, and sometimes bimodality. This paper proposes the use of alternative statistical distributions for travel time variability, with the Burr Type XII distribution emerging as an appropriate model for both links and routes. This statistical distribution has some attractive properties that make it suitable for explicit definition of many travel time reliability metrics. Copyright © 2011 John Wiley & Sons, Ltd.     

Updating predictive accident models of modern rural single carriageway A-roads

Abstract

Reliable predictive accident models (PAMs) are essential to design and maintain safe road networks, and yet the models most commonly used in the UK were derived using data collected 20 to 30 years ago. Given that the national personal injury accident total fell by some 30% in the last 25 years, while road traffic increased by over 60%, significant errors in scheme appraisal and evaluation based on the models currently in use seem inevitable. In this paper, the temporal transferability of PAMs for modern rural single carriageway A-roads is investigated, and their predictive performance is evaluated against a recent data set. Despite the age of these models, the PAMs for predicting the total accidents provide a remarkably good fit to recent data and these are more accurate than models where accidents are disaggregated by type. The performance of the models can be improved by calibrating them against recent data.     

Decoupling of Road Freight Transport and Economic Growth Trends in the UK: An Exploratory Analysis

Abstract

Between 1997 and 2004, gross domestic product increased in real terms in the UK by one‐fifth, while the volume of road freight movement remained stable. This suggests that the long‐awaited decoupling of economic and freight transport growth has begun, possibly leading to a new era of sustainable logistics. This paper reviews previous research on the decoupling issue and recent trends in gross domestic product/freight tonne‐km elasticities in Europe and the USA. It then examines 12 possible causes of the observed decoupling in the UK using published statistics from a wide range of British and European sources. This analysis indicates that around two‐thirds of the decoupling is due to three factors whose impact can be quantified: the increased penetration of the British road haulage market by foreign operators, a decline in road transport’s share of the freight market, and real increases in road freight rates. Several other factors, most notably the relative growth of the service sector, the diminishing rate of centralization, and the off‐shoring of manufacturing, appear to be having a significant effect, though this finding cannot be measured on the basis of available statistics. The paper concludes that, while the decoupling is in the right direction from a public policy standpoint, the net environmental benefits are likely to be quite modest.