Airport system planning—a U.K. study

There is growing public pressure, from environmentalist groups and others, for the imposition of lorry bans in urban areas. In the U.K. such bans have so far only been imposed as through‐route bans by small towns, such as Windsor, where the overall impact on operators and on road freight costs is limited. The Greater London Council's response to the pressure for lorry bans has been to set up a Committee of Inquiry to examine the impact of an access ban on the heaviest lorries in the London area. The proposed ban would apply to an area enclosed by the M25 orbital motorway within which vehicles above a specified gross tonnage would not be allowed to operate. A number of metropolitan authorities elsewhere in the U.K. are thought to be considering similar restrictions on lorries.

In this paper, the impact of area lorry bans on goods vehicle operating costs is discussed. It is suggested that practices based on “direct distribution” techniques may prove less costly than the operating alternatives that have been evaluated in the past which include public transhipment depots and the exclusive use of small vehicles.     

Book reviews

TRANSPORT AND REURBANISATION, by Leo H. Klaassen, Jan A. Bourdrez and Jacques Volmuller. Gower Press, England, 1981. 214 pp.

TRANSPORT AND PUBLIC POLICY PLANNING, edited by David Banister and Peter Hall. Mansell Publishing Ltd., London, 1981. 455 pp.

ACCESS FOR ALL by K. H. Schaeffer and Elliott Sclar. Columbia University Press, 1982. 182 pp.

ENVIRONMENTAL ANALYSIS OF TRANSPORTATION SYSTEMS, by Louis F. Cohn and Gary R. McVoy. John Wiley, 1982. 374 pp. (£35.00).

THE ECONOMICS OF URBAN FREIGHT TRANSPORT, by K. J. Button and A. D. Pearman. The MacMillan Press Ltd., London. 218 pp. (£20.00).

TRANSPORTATION MARKINGS, BY Brian Clearman. University Press of America, 1981. 459 pp.

REGULATION AND POLICIES OF AMERICAN SHIPPING, by Ernst G. Frankel, Auburn House Publishing Co., Boston, Massachusetts. 321 pp. ($24.95)     

Nigerian railways: problems and prospects

The very special topography of Greece with the hundreds of mainland and island ports generates vast possibilities for developing routing networks to link the ports to each other while satisfying total demand. An algorithm which minimizes total operating costs (fixed and variable) has been adapted and used to determine an optimal network solution. The total operating costs of this solution is compared to the total operating costs of the existing (1964 data) network and the optimal networks when fixed and variable costs are minimized independently. It is found that the actual network follows the minimal total operating costs solution quite closely.     

Telemetric system for monitoring and automation of railroad networks

This paper describes a new method of real-time train monitoring based on the ZigBee/IEEE 802.15.4 protocol. The system consists of a mobile device embedded in the moving train which transmits parameter signals that are being measured by a base unit with the help of routers. When applied, the technique monitors and controls vehicles operating on permanent routes, making a real-time evaluation of their performance and location, and allowing an effective planning of trains. It consists of a low cost, low power consumption and safe modular technology capable of monitoring many different variables simultaneously.     

Transportation survey and rideshare matching model for rural communities

A simple and flexible low technology rideshare matching model was developed for a rural area. A brief survey form provided information on distance to work, fuel consumption and currently used transportation mode in conj unction with information on employment location and work schedule. The model developed used a computerized system for proximity matching of potential ride sharers. An existing computer program with detailed modifications was used for data analysis. Unlike other rideshare matching programs, this model relies on grouping by community names to match riders.     

Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment

The paper proposes a first-order macroscopic stochastic dynamic traffic model, namely the stochastic cell transmission model (SCTM), to model traffic flow density on freeway segments with stochastic demand and supply. The SCTM consists of five operational modes corresponding to different congestion levels of the freeway segment. Each mode is formulated as a discrete time bilinear stochastic system. A set of probabilistic conditions is proposed to characterize the probability of occurrence of each mode. The overall effect of the five modes is estimated by the joint traffic density which is derived from the theory of finite mixture distribution. The SCTM captures not only the mean and standard deviation (SD) of density of the traffic flow, but also the propagation of SD over time and space. The SCTM is tested with a hypothetical freeway corridor simulation and an empirical study. The simulation results are compared against the means and SDs of traffic densities obtained from the Monte Carlo Simulation (MCS) of the modified cell transmission model (MCTM). An approximately two-miles freeway segment of Interstate 210 West (I-210W) in Los Ageles, Southern California, is chosen for the empirical study. Traffic data is obtained from the Performance Measurement System (PeMS). The stochastic parameters of the SCTM are calibrated against the flow-density empirical data of I-210W. Both the SCTM and the MCS of the MCTM are tested. A discussion of the computational efficiency and the accuracy issues of the two methods is provided based on the empirical results. Both the numerical simulation results and the empirical results confirm that the SCTM is capable of accurately estimating the means and SDs of the freeway densities as compared to the MCS.     

“I can do perfectly well without a car!”

This article presents the results of a study exploring travellers’ preferences for middle-distance travel using Q-methodology. Respondents rank-ordered 42 opinion statements regarding travel choice and motivations for travel in general and for car and public transport as alternative travel modes. By-person factor analysis revealed four distinct preference segments for middle-distance travel: (1) choice travellers with a preference for public transport, (2) deliberate-choice travellers, (3) choice travellers with car as dominant alternative, and (4) car-dependent travellers. These preference segments differ in terms of the levels of involvement and cognitive effort in travel decision making, the travel consideration-set and underlying motivations. The study showed that for most people there is more to travel than getting from point A to point B, and that there is considerable heterogeneity in middle-distance travel preferences. Policy implications for reducing the need for travel and promoting a modal shift from car to other travel modes are discussed.     

Exploring the drivers of light rail ridership: an empirical route level analysis of selected Australian,North American and European systems

This paper explores the relative influence of factors affecting light rail ridership on 57 light rail routes in Australia, Europe and North America through an empirical examination of route level data. Previous research suggests a wide range of possible ridership drivers but is mixed in clarifying major influences. A multiple-regression analysis of route level ridership (boardings per route km) and catchment residential and employment density, car ownership, service level, speed, stop spacing, share of accessible stops, share of segregated right of away and integrated fares was undertaken. This established a statistically significant model (99% level, R² = 0.76) with five significant variables including service level, routes being in Europe, speed, integrated ticketing and employment density. In general these findings support selected results from previous research. A secondary analysis of service effectiveness measures (boardings/vehicle km, i.e. the relative ridership performance for a given level of service), established a statistically significant model (99% level, R² = 0.67) with 6 significant explanatory variables including being in Europe, speed, employment density, integrated ticketing, track segregation and service level. The latter implies that a higher frequency results in higher service effectiveness. Overall the research findings stress the importance of providing a high level of service as a major driver of light rail ridership. The ‘European Factor’ is also an important though intriguing influence but its cause remains unclear and requires further research to elaborate its nature.     

Time use,mobility and expenditure: an innovative survey design for understanding individuals’ trade-off processes

A large amount of information is required to model the complex trade-off processes between travel activities, non-travel activities and budget assignment at the individual level. This paper describes the development of a new survey design, which incorporates components of travel surveys, time use surveys and consumer expenditure surveys in an integrated format, which is expected to deliver a richer data set allowing deeper insights into individuals’ activity and consumption patterns. The survey procedure and the incentives paid, which were necessary to obtain acceptable response rates, are also described. Results from two pilot studies using a trip-based and an activity-based diary format are presented. The paper examines to which extent the diaries have been capable of collecting the required data with high quality and response rates. The innovative “Mobility–Activity–Expenditure-Diary” is introduced and results of the main survey using this design are presented. Travel behaviour and non-travel activities were reported at high quality. Expenditures would require longer observation periods (and preferably not only telephone but also personal support in the survey process) to reduce unsystematic variations and to better capture individuals’ long term equilibrium.

     

Map-matching poor-quality GPS data in urban environments: the pgMapMatch package

Global Positioning System (GPS) data have become ubiquitous in many areas of transportation planning and research. The usefulness of GPS data often depends on the points being matched to the true sequence of edges on the underlying street network – a process known as ‘map matching.’ This paper presents a new map-matching algorithm that is designed for use with poor-quality GPS traces in urban environments, where drivers may circle for parking and GPS quality may be affected by underground parking and tall buildings. The paper is accompanied by open-source Python code that is designed to work with a PostGIS spatial database. In a test dataset that includes many poor-quality traces, our new algorithm accurately matches about one-third more traces than a widely available alternative. Our algorithm also provides a ‘match score’ that evaluates the likelihood that the match for an individual trace is correct, reducing the need for manual inspection.