Generic Framework for Transport Network Designs: Applications and Treatment in Intermodal Freight Transport Literature

Abstract

Six principles for the design of transport systems are described, including direct link, corridor, hub‐and‐spoke, connected hubs, static routes, and dynamic routes. The designs are theoretically discussed, defining the operational character of each design and their application in passenger, freight and rail freight transport. The theory is then applied to intermodal freight transport by comparing the terminology used in the paper with that in the scientific literature. The advantages of using a generic terminology over contextual ones are identified from the perspectives of researchers, commercial operators and policy‐makers.     

Simulation of Train-Track Interaction with Stochastic Track Properties

A numerical method to simulate vertical dynamic interaction between a moving train and a railway track was extended to account for stochastic properties in the track structure. The numerical simulations are carried out in the time-domain with a moving mass model. Full-scale measurements in the field and laboratory experiments were carried out to obtain data for the stochastic track model. The values of the stochastic variables are thus chosen to correspond to real tracks. To investigate the influence of the randomness of selected stochastic parameters in the track structure, the Latin Hypercube sampling method with correlation control was used to generate stochastic realisations.     

Developing intermodal transport for small flows over short distances

Intermodal road-rail freight transport works best within markets with relatively large flows occurring over long distances, which corresponds poorly to the current demand for transport in the European Union. The purpose of this paper is to compare the capabilities of conventional European intermodal transport, with special reference to the competitiveness in markets with small flows over short distances, and to explore innovative concepts. Using a technological systems approach, key functions are identified as being the inducement and blocking mechanisms that affect the development and diffusion path of this 'small flows over short distances' (SFSD) system, providing a tool for empirical delineation of the system. These concepts are illustrated and analysed through a case study of the Swedish development project Light-combi. The results show that market and financial uncertainties, insufficient network connectivity and policies favouring the existing technology paradigm, severely hamper the development and diffusion of SFSD systems.     

Refined parameter and uncertainty estimation when both variables are subject to error. Case study: estimation of Si consumption and regeneration rates in a marine environment

The problem of estimating parameters and their uncertainty from experimental measurements in marine ecosystems is a common task and often necessitates solving nonlinear equations. If the measurements are subject to individually varying errors (i.e., heteroscedastic data), the parameters are often estimated using a Weighted Least Squares (WLS) method. For estimating the parameter uncertainties, a linearized expression for the covariance matrix exists. Yet, both methods assume that the errors on the independent variable, also called “input”, is negligible, which is often not true. For instance, in order to determine uptake and regeneration rates of silicic acid by phytoplankton, concentration and isotopic abundance measurements are performed at the beginning (input) and at the end (output) of an incubation experiment. Here, the so-called input and output are measurements of the same quantities, i.e., determined in exactly the same way, only differing by the time at which the measurements were performed. Clearly, there is no reason to assume that the input measurements are subject to less error than the output measurements. We propose a refinement of the two abovementioned estimation methods which enlarges their applicability to cases where input noise is not negligible. The refined methods are evaluated on the uptake and regeneration processes of silicic acid and compared to the original procedures using Monte-Carlo simulations. The results reveal a smaller bias for the refined WLS estimator compared with the original one. An additional advantage of using the refined WLS cost function is that its residual value can be interpreted as a sample from a χ² distribution. This property is especially useful because it enables an internal quality control of the results. In addition, the parameter uncertainty estimation is significantly improved. By neglecting the effect of the input noise, a (potentially) important origin of the parameter variation is simply ignored. Therefore, without the refinement, the parameter uncertainties are systematically underestimated. Using the refined method, this systematic error disappears and on the whole, the parameter standard deviations are accurately estimated.     

How do dutch drivers perceive horizontal curves on freeway interchanges and which cues influence their speed choice?

Operating speeds in Dutch freeway curves differ often by 20 km/h compared to their design speeds. Operating speed is thought to be influenced by how drivers perceive curves when approaching a curve. This explorative research explores which curve cues and other variables influence drivers’ speed choice in curves. For this purpose, a survey was designed with 28 sets of curve comparisons. The curves were chosen from interchanges in the Netherlands and were compared to each other. To avoid direction bias, the curves were right turning only. In each set illustrations of two different curves out of a total of 8 curves were shown, and the participants were asked in which curve they would drive faster. In total 819 participants in the age range of 18 and 78 (mean=41.3; Std.=11.9) completed the survey. The survey data showed four common categories of curve cues and variables influencing the decision to drive faster, of which those in the category of the road environment and its surroundings were mentioned the most. The top three variables influencing speed choice are visibility of curve characteristics, “overview” as a holistic but as such hard to measure variable, and number of lanes. Variables such as presence of signage and trees were also mentioned frequently by the respondents. Geometric road characteristics such as curve radius and deflection angle were identified by the respondents as influencing variables, but only showing to affect speed selection when these are visible to the driver and not obscured by trees or other elements. This suggests combinations of geometric and surrounding elements are needed to get a better understanding of speed selection by drivers.     

Putting our money to good use: Can we attract more passengers without increasing subsidies?

This paper evaluates the policy of Swedish public transport authorities, determining whether the number of trips on local public transport could have been increased without increasing subsidies. Based on annual data from Swedish counties, the evaluation found that between 1986 and 2001 public transport fares exceeded the passenger-maximising fare most of the time in all but two counties, the average deviation being 1-215%. Evaluating the alternative, passenger-maximising policy, including both fare and service changes for 2001, demonstrated that demand for local public transport in Swedish counties could have been increased by 0-178% without increasing subsidies. Aggregated, this represents a 2.3% increase in the number of trips on local public transport in Sweden.