An effective evaluation of transportation network efficiency/performance is essential to the establishment of sustainable development in any transportation system. Based on a redefinition of transportation network efficiency, a quantitative efficiency evaluation method for transportation network is proposed, which could reflect the effects of network structure, traffic demands, travel choice, a...

As the automotive industry has been striving to enhance its efficiency, competitiveness, and sustainability, great focus is often placed on opportunities for improving its supply chain operations. We study the effect of introducing multiple modes of transportation in an industry-motivated production and transportation problem involving short-term automotive supply chain planning. We consider mu...

OBJECTIVES Our goal was to determine the annual direct medical and nonmedical costs for the care of patients with rheumatoid arthritis (RA) using data from a large cohort database in Japan. METHODS Direct medical costs [out of pocket to hospitals and pharmacies and for complementary and alternative medicine (CAM)] and nonmedical costs (caregiving, transportation, self-help devices, house modi...

The supply chain between manufacturers and retailers always includes transshipments through a network of locations. A major challenge in making demand meet supply has been to coordinate transshipment activities across the chain aimed at reducing costs and increasing service levels in the face of a range of factors, including demand fluctuations, short lead times, warehouse limitations and trans...

This paper focuses on a fleet management problem that arises in container trucking industry. From the container transportation company perspective, the present and future operating costs to minimize can be divided in three components: the routing costs, the resource (i.e., driver and truck) assignment costs and the container repositioning costs (i.e., the costs of restoring a given container fl...

This paper presenting case studies in modern large scale constrained optimization, the purpose of which is to illustrate how recent advances in algorithms and modelling languages have made it easy to solve difficult optimization problems using of software. In this paper we use measure theory technique and iterative dynamic programming algorithm for solving of a trajectory optimization problem: ...

Urban transportation externalities are a key development challenge. Based on the existing literature, the authors illustrate the magnitudes of various external costs, review response policies, and measure and discuss their selection, particularly focusing on the context of developing countries. They find that regulatory policy instruments aimed at reducing local air pollution have been introduc...

The GTAP version 5 dataset has three transportation sectors. However, household transportation expenditures related to private automobiles are not represented explicitly in the data. We augment the existing GTAP data to separately disaggregate household transportation and explore the implications of this extension in the MIT Emissions Predictions and Policy Analysis (EPPA) model. Climate policy...

In determining the marginal cost of congestion, economists have traditionally relied upon directly measuring traffic congestion on network links, disregarding any “network effects,” since the latter are difficult to estimate. While for simple networks the comparison can be done within a theoretical framework, it is important to know whether such network effects in real large-scale networks are ...

We study a logistics network where shippers collaborate and bundle their shipment requests in order to negotiate better rates with a common carrier. In this setting, shippers are able to identify collaborative routes with decreased overall empty truck movements. After the optimal routes that minimize total cost of covering all the shippers’ demand are determined, this cost is allocated among th...