Freight Travel Research Articles

An empirical study to determine freight travel time at a major port

This paper examines the reliability measures of freight travel time on urban arterials that provide access to an international seaport. The findings indicate that the reliability index calculated by the median of travel time, which is less sensitive to extreme values in a highly skewed distribution, is more appropriate. This paper also examines several statistical distributions of travel time to determine the best fit to the data of freight trips. The results of goodness-of-fit tests indicate that the log-logistic is the best statistical function for freight travel time during the midday off-peak period. However, the lognormal distribution represents a better fit to arterials with heavily congested traffic during peak periods. Additionally, travel time prediction models identify the relationships between travel time, speeds and other factors that affect travel time reliability. The analysis suggests that incident-induced delays and speed fluctuations primarily contributed to the unreliability of freight movement on the urban arterials.

Approach to Collecting Local Freight Information

The use of local freight data in transportation planning is essential to ensure accuracy in the travel demand modeling process. Although extensive research work has been performed into the collection and use of household travel data for passenger transportation, limited research work has been performed to collect and use local freight travel data. This paper examines a structure developed to collect and summarize local freight data in an urban area to be used in the transportation planning process within a metropolitan planning organization. The paper concludes that the appropriate collection and analysis of freight data can be performed and the output can be used to support transportation planning activities.

Mobility effects of b2c and c2c e-commerce in the Netherlands: a quantitative assessment

For more than a decade researchers have been interested in the implications of e-commerce for personal travel and freight transport. So far it is mostly the mobility effects of business-to-consumer (b2c) e-commerce that have been studied. However, consumer-to-consumer (c2c) e-commerce is becoming popular and may have important implications for mobility as well. Moreover, most studies conducted thus far have looked at the consequences of b2c e-commerce for either personal or freight travel, but not for both. This paper takes a more comprehensive approach. Using a nationwide sample of 3000 Dutch e-shoppers we calculated the potential impacts of both types of e-commerce on personal and freight travel. The results indicated that personal travel in the Netherlands has only marginally decreased as a result of e-shopping, while freight transport has slightly increased. The outcomes showed a net mobility effect, as the reduction in personal travel was not fully compensated by the increase in freight transport. However, this mobility reduction was fully attributed to b2c e-commerce, as c2c e-commerce led to an increase in both personal travel and freight transport.

Freight Transport and the Value of Travel Time Savings: A Meta‐analysis of Empirical Studies

The value of travel time savings (VTTS) has been investigated by transport economists since the mid‐1960s. Although the first two decades of research were mainly devoted to VTTS in passenger transport, since the mid‐1980s several studies have analysed the VTTS in freight transport from both a theoretical and an empirical viewpoint. The first part of the paper is devoted to a review of the proposed theoretical models for the value of freight travel time savings (VFTTS), and it discusses the issues arising from the use of different methods to collect empirical VFTTS estimates. The second part is based on a meta‐analysis of a sample of empirical VFTTS observations related to several European and North American countries. It is shown that both the per‐capita gross domestic product and the transport mode are statistically significant variables that can partially explain the variability in VFTTS estimates.

Valuing long-haul and metropolitan freight travel time and reliability

Most evaluations and economic assessments of transportation proposal and policies in Australia omit a valuation of time spent in transit for individual items or loads of freight. Knowledge of delays and the practical value of reliability can be useful for shippers and receivers, but the information does not necessarily appear directly in vehicle operating costs and personal travel times, and benefits generated by improvements from road investments and traffic management may be understated and expenditure decisions may be biased towards passenger movements. Contextual stated preference (CSP) methods and associated multinomial logit models are applied in this paper to estimate the value of such factors from an Australian survey of freight shippers using road freight transportation in 1998.

Freight Travel Demand Modeling: Synthesis of Approaches and Development of a Framework

It is increasingly being recognized at all levels of decision making that freight transportation and economic development are inextricably linked. As a result, many urban entities and states are embarking upon comprehensive freight transportation planning efforts aimed at ensuring safe, efficient, and smooth movement of freight along multimodal and intermodal networks. Over the past few decades there has been considerable published research on (1) freight transportation factors, (2) freight travel demand modeling methods, (3) freight transportation planning issues, and (4) freight data needs, deficiencies, and collection methods. A synthesis of the body of knowledge in these four areas is provided with a view to developing a comprehensive statewide freight transportation planning framework. The proposed framework consists of two interrelated components that facilitate demand estimation and decision making in the freight transportation sector.